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1.  A blended knowledge translation initiative to improve colorectal cancer staging [ISRCTN56824239] 
A significant gap has been documented between best practice and the actual practice of surgery. Our group identified that colorectal cancer staging in Ontario was suboptimal and subsequently developed a knowledge translation strategy using the principles of social marketing and the influence of expert and local opinion leaders for colorectal cancer.
Opinion leaders were identified using the Hiss methodology. Hospitals in Ontario were cluster-randomized to one of two intervention arms. Both groups were exposed to a formal continuing medical education session given by the expert opinion leader for colorectal cancer. In the treatment group the local Opinion Leader for colorectal cancer was detailed by the expert opinion leader for colorectal cancer and received a toolkit. Forty-two centres agreed to have the expert opinion leader for colorectal cancer come and give a formal continuing medical education session that lasted between 50 minutes and 4 hours. No centres refused the intervention. These sessions were generally well attended by most surgeons, pathologists and other health care professionals at each centre. In addition all but one of the local opinion leaders for colorectal cancer met with the expert opinion leader for colorectal cancer for the academic detailing session that lasted between 15 and 30 minutes.
We have enacted a unique study that has attempted to induce practice change among surgeons and pathologists using an adapted social marketing model that utilized the influence of both expert and local opinion leaders for colorectal cancer in a large geographic area with diverse practice settings.
PMCID: PMC1395360  PMID: 16412251
2.  Local opinion leaders: effects on professional practice and health care outcomes 
Clinical practice is not always evidence-based and, therefore, may not optimise patient outcomes. Opinion leaders disseminating and implementing ‘best evidence’ is one method that holds promise as a strategy to bridge evidence-practice gaps.
To assess the effectiveness of the use of local opinion leaders in improving professional practice and patient outcomes.
Search methods
We searched Cochrane EPOC Group Trials Register, the Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, HMIC, Science Citation Index, Social Science Citation Index, ISI Conference Proceedings and World Cat Dissertations up to 5 May 2009. In addition, we searched reference lists of included articles.
Selection criteria
Studies eligible for inclusion were randomised controlled trials investigating the effectiveness of using opinion leaders to disseminate evidence-based practice and reporting objective measures of professional performance and/or health outcomes.
Data collection and analysis
Two review authors independently extracted data from each study and assessed its risk of bias. For each trial, we calculated the median risk difference (RD) for compliance with desired practice, adjusting for baseline where data were available. We reported the median adjusted RD for each of the main comparisons.
Main results
We included 18 studies involving more than 296 hospitals and 318 PCPs. Fifteen studies (18 comparisons) contributed to the calculations of the median adjusted RD for the main comparisons. The effects of interventions varied across the 63 outcomes from 15% decrease in compliance to 72% increase in compliance with desired practice. The median adjusted RD for the main comparisons were: i) Opinion leaders compared to no intervention, +0.09; ii) Opinion leaders alone compared to a single intervention, +0.14; iii) Opinion leaders with one or more additional intervention(s) compared to the one or more additional intervention(s), +0.10; iv) Opinion leaders as part of multiple interventions compared to no intervention, +0.10. Overall, across all 18 studies the median adjusted RD was +0.12 representing a 12% absolute increase in compliance in the intervention group.
Authors’ conclusions
Opinion leaders alone or in combination with other interventions may successfully promote evidence-based practice, but effectiveness varies both within and between studies. These results are based on heterogeneous studies differing in terms of type of intervention, setting, and outcomes measured. In most of the studies the role of the opinion leader was not clearly described, and it is therefore not possible to say what the best way is to optimise the effectiveness of opinion leaders.
PMCID: PMC4172331  PMID: 21833939
*Leadership; *Policy Making; Evidence-Based Medicine [*standards]; Information Dissemination; Physician’s Practice Patterns; Process Assessment (Health Care); Professional Practice [*standards]; Randomized Controlled Trials as Topic; Humans
3.  Gathering opinion leader data for a tailored implementation intervention in secondary healthcare: a randomised trial 
Health professionals’ behaviour is a key component in compliance with evidence-based recommendations. Opinion leaders are an oft-used method of influencing such behaviours in implementation studies, but reliably and cost effectively identifying them is not straightforward. Survey and questionnaire based data collection methods have potential and carefully chosen items can – in theory – both aid identification of opinion leaders and help in the design of an implementation strategy itself. This study compares two methods of identifying opinion leaders for behaviour-change interventions.
Healthcare professionals working in a single UK mental health NHS Foundation Trust were randomly allocated to one of two questionnaires. The first, slightly longer questionnaire, asked for multiple nominations of opinion leaders, with specific information about the nature of the relationship with each nominee. The second, shorter version, asked simply for a list of named “champions” but no more additional information. We compared, using Chi Square statistics, both the questionnaire response rates and the number of health professionals likely to be influenced by the opinion leaders (i.e. the “coverage” rates) for both questionnaire conditions.
Both questionnaire versions had low response rates: only 15% of health professionals named colleagues in the longer questionnaire and 13% in the shorter version. The opinion leaders identified by both methods had a low number of contacts (range of coverage, 2–6 each). There were no significant differences in response rates or coverage between the two identification methods.
The low response and population coverage rates for both questionnaire versions suggest that alternative methods of identifying opinion leaders for implementation studies may be more effective. Future research should seek to identify and evaluate alternative, non-questionnaire based, methods of identifying opinion leaders in order to maximise their potential in organisational behaviour change interventions.
PMCID: PMC4015818  PMID: 24606877
4.  Facilitating the Recruitment of Minority Ethnic People into Research: Qualitative Case Study of South Asians and Asthma 
PLoS Medicine  2009;6(10):e1000148.
Aziz Sheikh and colleagues report on a qualitative study in the US and the UK to investigate ways to bolster recruitment of South Asians into asthma studies, including making inclusion of diverse populations mandatory.
There is international interest in enhancing recruitment of minority ethnic people into research, particularly in disease areas with substantial ethnic inequalities. A recent systematic review and meta-analysis found that UK South Asians are at three times increased risk of hospitalisation for asthma when compared to white Europeans. US asthma trials are far more likely to report enrolling minority ethnic people into studies than those conducted in Europe. We investigated approaches to bolster recruitment of South Asians into UK asthma studies through qualitative research with US and UK researchers, and UK community leaders.
Methods and Findings
Interviews were conducted with 36 researchers (19 UK and 17 US) from diverse disciplinary backgrounds and ten community leaders from a range of ethnic, religious, and linguistic backgrounds, followed by self-completion questionnaires. Interviews were digitally recorded, translated where necessary, and transcribed. The Framework approach was used for analysis. Barriers to ethnic minority participation revolved around five key themes: (i) researchers' own attitudes, which ranged from empathy to antipathy to (in a minority of cases) misgivings about the scientific importance of the question under study; (ii) stereotypes and prejudices about the difficulties in engaging with minority ethnic populations; (iii) the logistical challenges posed by language, cultural differences, and research costs set against the need to demonstrate value for money; (iv) the unique contexts of the two countries; and (v) poorly developed understanding amongst some minority ethnic leaders of what research entails and aims to achieve. US researchers were considerably more positive than their UK counterparts about the importance and logistics of including ethnic minorities, which appeared to a large extent to reflect the longer-term impact of the National Institutes of Health's requirement to include minority ethnic people.
Most researchers and community leaders view the broadening of participation in research as important and are reasonably optimistic about the feasibility of recruiting South Asians into asthma studies provided that the barriers can be overcome. Suggested strategies for improving recruitment in the UK included a considerably improved support structure to provide academics with essential contextual information (e.g., languages of particular importance and contact with local gatekeepers), and the need to ensure that care is taken to engage with the minority ethnic communities in ways that are both culturally appropriate and sustainable; ensuring reciprocal benefits was seen as one key way of avoiding gatekeeper fatigue. Although voluntary measures to encourage researchers may have some impact, greater impact might be achieved if UK funding bodies followed the lead of the US National Institutes of Health requiring recruitment of ethnic minorities. Such a move is, however, likely in the short- to medium-term, to prove unpopular with many UK academics because of the added “hassle” factor in engaging with more diverse populations than many have hitherto been accustomed to.
Please see later in the article for the Editors' Summary
Editors' Summary
In an ideal world, everyone would have the same access to health care and the same health outcomes (responses to health interventions). However, health inequalities—gaps in health care and in health between different parts of the population—exist in many countries. In particular, people belonging to ethnic minorities in the UK, the US, and elsewhere have poorer health outcomes for several conditions than people belonging to the ethnic majority (ethnicity is defined by social characteristics such as cultural tradition or national origin). For example, in the UK, people whose ancestors came from the Indian subcontinent (also known as South Asians and comprising in the main of people of Indian, Pakistani, and Bangladeshi origin) are three times as likely to be admitted to hospital for asthma as white Europeans. The reasons underpinning ethnic health inequalities are complex. Some inequalities may reflect intrinsic differences between groups of people—some ethnic minorities may inherit genes that alter their susceptibility to a specific disease. Other ethnic health inequalities may arise because of differences in socioeconomic status or because different cultural traditions affect the uptake of health care services.
Why Was This Study Done?
Minority ethnic groups are often under-represented in health research, which could limit the generalizability of research findings. That is, an asthma treatment that works well in a trial where all the participants are white Europeans might not be suitable for South Asians. Clinicians might nevertheless use the treatment in all their patients irrespective of their ethnicity and thus inadvertently increase ethnic health inequality. So, how can ethnic minorities be encouraged to enroll into research studies? In this qualitative study, the investigators try to answer this question by talking to US and UK asthma researchers and UK community leaders about how they feel about enrolling ethnic minorities into research studies. The investigators chose to compare the feelings of US and UK asthma researchers because minority ethnic people are more likely to enroll into US asthma studies than into UK studies, possibly because the US National Institute of Health's (NIH) Revitalization Act 1993 mandates that all NIH-funded clinical research must include people from ethnic minority groups; there is no similar mandatory policy in the UK.
What Did the Researchers Do and Find?
The investigators interviewed 16 UK and 17 US asthma researchers and three UK social researchers with experience of working with ethnic minorities. They also interviewed ten community leaders from diverse ethnic, religious and linguistic backgrounds. They then analyzed the interviews using the “Framework” approach, an analytical method in which qualitative data are classified and organized according to key themes and then interpreted. By comparing the data from the UK and US researchers, the investigators identified several barriers to ethnic minority participation in health research including: the attitudes of researchers towards the scientific importance of recruiting ethnic minority people into health research studies; prejudices about the difficulties of including ethnic minorities in health research; and the logistical challenges posed by language and cultural differences. In general, the US researchers were more positive than their UK counterparts about the importance and logistics of including ethnic minorities in health research. Finally, the investigators found that some community leaders had a poor understanding of what research entails and about its aims.
What Do These Findings Mean?
These findings reveal a large gap between US and UK researchers in terms of policy, attitudes, practices, and experiences in relation to including ethnic minorities in asthma research. However, they also suggest that most UK researchers and community leaders believe that it is both important and feasible to increase the participation of South Asians in asthma studies. Although some of these findings may have been affected by the study participants sometimes feeling obliged to give “politically correct” answers, these findings are likely to be generalizable to other diseases and to other parts of Europe. Given their findings, the researchers warn that a voluntary code of practice that encourages the recruitment of ethnic minority people into health research studies is unlikely to be successful. Instead, they suggest, the best way to increase the representation of ethnic minority people in health research in the UK might be to follow the US lead and introduce a policy that requires their inclusion in such research.
Additional Information
Please access these Web sites via the online version of this summary at
Families USA, a US nonprofit organization that campaigns for high-quality, affordable health care for all Americans, has information about many aspects of minority health in the US, including an interactive game about minority health issues
The US Agency for Healthcare Research and Quality has a section on minority health
The UK Department of Health provides information on health inequalities and a recent report on the experiences of patients in Black and minority ethnic groups
The UK Parliamentary Office of Science and Technology also has a short article on ethnicity and health
Information on the NIH Revitalization Act 1993 is available
NHS Evidences Ethnicity and Health has a variety of policy, clinical, and research resources on ethnicity and health
PMCID: PMC2752116  PMID: 19823568
5.  Proceedings of the 3rd Biennial Conference of the Society for Implementation Research Collaboration (SIRC) 2015: advancing efficient methodologies through community partnerships and team science 
Lewis, Cara | Darnell, Doyanne | Kerns, Suzanne | Monroe-DeVita, Maria | Landes, Sara J. | Lyon, Aaron R. | Stanick, Cameo | Dorsey, Shannon | Locke, Jill | Marriott, Brigid | Puspitasari, Ajeng | Dorsey, Caitlin | Hendricks, Karin | Pierson, Andria | Fizur, Phil | Comtois, Katherine A. | Palinkas, Lawrence A. | Chamberlain, Patricia | Aarons, Gregory A. | Green, Amy E. | Ehrhart, Mark. G. | Trott, Elise M. | Willging, Cathleen E. | Fernandez, Maria E. | Woolf, Nicholas H. | Liang, Shuting Lily | Heredia, Natalia I. | Kegler, Michelle | Risendal, Betsy | Dwyer, Andrea | Young, Vicki | Campbell, Dayna | Carvalho, Michelle | Kellar-Guenther, Yvonne | Damschroder, Laura J. | Lowery, Julie C. | Ono, Sarah S. | Carlson, Kathleen F. | Cottrell, Erika K. | O’Neil, Maya E. | Lovejoy, Travis L. | Arch, Joanna J. | Mitchell, Jill L. | Lewis, Cara C. | Marriott, Brigid R. | Scott, Kelli | Coldiron, Jennifer Schurer | Bruns, Eric J. | Hook, Alyssa N. | Graham, Benjamin C. | Jordan, Katelin | Hanson, Rochelle F. | Moreland, Angela | Saunders, Benjamin E. | Resnick, Heidi S. | Stirman, Shannon Wiltsey | Gutner, Cassidy A. | Gamarra, Jennifer | Vogt, Dawne | Suvak, Michael | Wachen, Jennifer Schuster | Dondanville, Katherine | Yarvis, Jeffrey S. | Mintz, Jim | Peterson, Alan L. | Borah, Elisa V. | Litz, Brett T. | Molino, Alma | McCaughan, Stacey Young | Resick, Patricia A. | Pandhi, Nancy | Jacobson, Nora | Serrano, Neftali | Hernandez, Armando | Schreiter, Elizabeth Zeidler- | Wietfeldt, Natalie | Karp, Zaher | Pullmann, Michael D. | Lucenko, Barbara | Pavelle, Bridget | Uomoto, Jacqueline A. | Negrete, Andrea | Cevasco, Molly | Kerns, Suzanne E. U. | Franks, Robert P. | Bory, Christopher | Miech, Edward J. | Damush, Teresa M. | Satterfield, Jason | Satre, Derek | Wamsley, Maria | Yuan, Patrick | O’Sullivan, Patricia | Best, Helen | Velasquez, Susan | Barnett, Miya | Brookman-Frazee, Lauren | Regan, Jennifer | Stadnick, Nicole | Hamilton, Alison | Lau, Anna | Regan, Jennifer | Hamilton, Alison | Stadnick, Nicole | Barnett, Miya | Lau, Anna | Brookman-Frazee, Lauren | Stadnick, Nicole | Lau, Anna | Barnett, Miya | Regan, Jennifer | Roesch, Scott | Brookman-Frazee, Lauren | Powell, Byron J. | Waltz, Thomas J. | Chinman, Matthew J. | Damschroder, Laura | Smith, Jeffrey L. | Matthieu, Monica M. | Proctor, Enola K. | Kirchner, JoAnn E. | Waltz, Thomas J. | Powell, Byron J. | Chinman, Matthew J. | Damschroder, Laura J. | Smith, Jeffrey L. | Matthieu, Monica J. | Proctor, Enola K. | Kirchner, JoAnn E. | Matthieu, Monica M. | Rosen, Craig S. | Waltz, Thomas J. | Powell, Byron J. | Chinman, Matthew J. | Damschroder, Laura J. | Smith, Jeffrey L. | Proctor, Enola K. | Kirchner, JoAnn E. | Walker, Sarah C. | Bishop, Asia S. | Lockhart, Mariko | Rodriguez, Allison L. | Manfredi, Luisa | Nevedal, Andrea | Rosenthal, Joel | Blonigen, Daniel M. | Mauricio, Anne M. | Dishion, Thomas D. | Rudo-Stern, Jenna | Smith, Justin D. | Locke, Jill | Wolk, Courtney Benjamin | Harker, Colleen | Olsen, Anne | Shingledecker, Travis | Barg, Frances | Mandell, David | Beidas, Rinad S. | Hansen, Marissa C. | Aranda, Maria P. | Torres-Vigil, Isabel | Hartzler, Bryan | Steinfeld, Bradley | Gildred, Tory | Harlin, Zandrea | Shephard, Fredric | Ditty, Matthew S. | Doyle, Andrea | Bickel, John A. | Cristaudo, Katharine | Fox, Dan | Combs, Sonia | Lischner, David H. | Van Dorn, Richard A. | Tueller, Stephen J. | Hinde, Jesse M. | Karuntzos, Georgia T. | Monroe-DeVita, Maria | Peterson, Roselyn | Darnell, Doyanne | Berliner, Lucy | Dorsey, Shannon | Murray, Laura K. | Botanov, Yevgeny | Kikuta, Beverly | Chen, Tianying | Navarro-Haro, Marivi | DuBose, Anthony | Korslund, Kathryn E. | Linehan, Marsha M. | Harker, Colleen M. | Karp, Elizabeth A. | Edmunds, Sarah R. | Ibañez, Lisa V. | Stone, Wendy L. | Andrews, Jack H. | Johnides, Benjamin D. | Hausman, Estee M. | Hawley, Kristin M. | Prusaczyk, Beth | Ramsey, Alex | Baumann, Ana | Colditz, Graham | Proctor, Enola K. | Botanov, Yevgeny | Kikuta, Beverly | Chen, Tianying | Navarro-Haro, Marivi | DuBose, Anthony | Korslund, Kathryn E. | Linehan, Marsha M. | Harker, Colleen M. | Karp, Elizabeth A. | Edmunds, Sarah R. | Ibañez, Lisa V. | Stone, Wendy L. | Choy-Brown, Mimi | Andrews, Jack H. | Johnides, Benjamin D. | Hausman, Estee M. | Hawley, Kristin M. | Prusaczyk, Beth | Ramsey, Alex | Baumann, Ana | Colditz, Graham | Proctor, Enola K. | Meza, Rosemary D. | Dorsey, Shannon | Wiltsey-Stirman, Shannon | Sedlar, Georganna | Lucid, Leah | Dorsey, Caitlin | Marriott, Brigid | Zounlome, Nelson | Lewis, Cara | Gutner, Cassidy A. | Monson, Candice M. | Shields, Norman | Mastlej, Marta | Landy, Meredith SH | Lane, Jeanine | Stirman, Shannon Wiltsey | Finn, Natalie K. | Torres, Elisa M. | Ehrhart, Mark. G. | Aarons, Gregory A. | Malte, Carol A. | Lott, Aline | Saxon, Andrew J. | Boyd, Meredith | Scott, Kelli | Lewis, Cara C. | Pierce, Jennifer D. | Lorthios-Guilledroit, Agathe | Richard, Lucie | Filiatrault, Johanne | Hallgren, Kevin | Crotwell, Shirley | Muñoz, Rosa | Gius, Becky | Ladd, Benjamin | McCrady, Barbara | Epstein, Elizabeth | Clapp, John D. | Ruderman, Danielle E. | Barwick, Melanie | Barac, Raluca | Zlotkin, Stanley | Salim, Laila | Davidson, Marnie | Bunger, Alicia C. | Powell, Byron J. | Robertson, Hillary A. | Botsko, Christopher | Landes, Sara J. | Smith, Brandy N. | Rodriguez, Allison L. | Trent, Lindsay R. | Matthieu, Monica M. | Powell, Byron J. | Proctor, Enola K. | Harned, Melanie S. | Navarro-Haro, Marivi | Korslund, Kathryn E. | Chen, Tianying | DuBose, Anthony | Ivanoff, André | Linehan, Marsha M. | Garcia, Antonio R. | Kim, Minseop | Palinkas, Lawrence A. | Snowden, Lonnie | Landsverk, John | Sweetland, Annika C. | Fernandes, Maria Jose | Santos, Edilson | Duarte, Cristiane | Kritski, Afrânio | Krawczyk, Noa | Nelligan, Caitlin | Wainberg, Milton L. | Aarons, Gregory A. | Sommerfeld, David H. | Chi, Benjamin | Ezeanolue, Echezona | Sturke, Rachel | Kline, Lydia | Guay, Laura | Siberry, George | Bennett, Ian M. | Beidas, Rinad | Gold, Rachel | Mao, Johnny | Powers, Diane | Vredevoogd, Mindy | Unutzer, Jurgen | Schroeder, Jennifer | Volpe, Lane | Steffen, Julie | Dorsey, Shannon | Pullmann, Michael D | Kerns, Suzanne E. U. | Jungbluth, Nathaniel | Berliner, Lucy | Thompson, Kelly | Segell, Eliza | McGee-Vincent, Pearl | Liu, Nancy | Walser, Robyn | Runnals, Jennifer | Shaw, R. Keith | Landes, Sara J. | Rosen, Craig | Schmidt, Janet | Calhoun, Patrick | Varkovitzky, Ruth L. | Landes, Sara J. | Drahota, Amy | Martinez, Jonathan I. | Brikho, Brigitte | Meza, Rosemary | Stahmer, Aubyn C. | Aarons, Gregory A. | Williamson, Anna | Rubin, Ronnie M. | Powell, Byron J. | Hurford, Matthew O. | Weaver, Shawna L. | Beidas, Rinad S. | Mandell, David S. | Evans, Arthur C. | Powell, Byron J. | Beidas, Rinad S. | Rubin, Ronnie M. | Stewart, Rebecca E. | Wolk, Courtney Benjamin | Matlin, Samantha L. | Weaver, Shawna | Hurford, Matthew O. | Evans, Arthur C. | Hadley, Trevor R. | Mandell, David S. | Gerke, Donald R. | Prusaczyk, Beth | Baumann, Ana | Lewis, Ericka M. | Proctor, Enola K. | McWilliam, Jenna | Brown, Jacquie | Tucker, Michelle | Conte, Kathleen P | Lyon, Aaron R. | Boyd, Meredith | Melvin, Abigail | Lewis, Cara C. | Liu, Freda | Jungbluth, Nathaniel | Kotte, Amelia | Hill, Kaitlin A. | Mah, Albert C. | Korathu-Larson, Priya A. | Au, Janelle R. | Izmirian, Sonia | Keir, Scott | Nakamura, Brad J. | Higa-McMillan, Charmaine K. | Cooper, Brittany Rhoades | Funaiole, Angie | Dizon, Eleanor | Hawkins, Eric J. | Malte, Carol A. | Hagedorn, Hildi J. | Berger, Douglas | Frank, Anissa | Lott, Aline | Achtmeyer, Carol E. | Mariano, Anthony J. | Saxon, Andrew J. | Wolitzky-Taylor, Kate | Rawson, Richard | Ries, Richard | Roy-Byrne, Peter | Craske, Michelle | Simmons, Dena | Torrente, Catalina | Nathanson, Lori | Carroll, Grace | Smith, Justin D. | Brown, Kimbree | Ramos, Karina | Thornton, Nicole | Dishion, Thomas J. | Stormshak, Elizabeth A. | Shaw, Daniel S. | Wilson, Melvin N. | Choy-Brown, Mimi | Tiderington, Emmy | Smith, Bikki Tran | Padgett, Deborah K. | Rubin, Ronnie M. | Ray, Marilyn L. | Wandersman, Abraham | Lamont, Andrea | Hannah, Gordon | Alia, Kassandra A. | Hurford, Matthew O. | Evans, Arthur C. | Saldana, Lisa | Schaper, Holle | Campbell, Mark | Chamberlain, Patricia | Shapiro, Valerie B. | Kim, B.K. Elizabeth | Fleming, Jennifer L. | LeBuffe, Paul A. | Landes, Sara J. | Lewis, Cara C. | Rodriguez, Allison L. | Marriott, Brigid R. | Comtois, Katherine Anne | Lewis, Cara C. | Stanick, Cameo | Weiner, Bryan J. | Halko, Heather | Dorsey, Caitlin
Implementation Science : IS  2016;11(Suppl 1):85.
Table of contents
Introduction to the 3rd Biennial Conference of the Society for Implementation Research Collaboration: advancing efficient methodologies through team science and community partnerships
Cara Lewis, Doyanne Darnell, Suzanne Kerns, Maria Monroe-DeVita, Sara J. Landes, Aaron R. Lyon, Cameo Stanick, Shannon Dorsey, Jill Locke, Brigid Marriott, Ajeng Puspitasari, Caitlin Dorsey, Karin Hendricks, Andria Pierson, Phil Fizur, Katherine A. Comtois
A1: A behavioral economic perspective on adoption, implementation, and sustainment of evidence-based interventions
Lawrence A. Palinkas
A2: Towards making scale up of evidence-based practices in child welfare systems more efficient and affordable
Patricia Chamberlain
A3: Mixed method examination of strategic leadership for evidence-based practice implementation
Gregory A. Aarons, Amy E. Green, Mark. G. Ehrhart, Elise M. Trott, Cathleen E. Willging
A4: Implementing practice change in Federally Qualified Health Centers: Learning from leaders’ experiences
Maria E. Fernandez, Nicholas H. Woolf, Shuting (Lily) Liang, Natalia I. Heredia, Michelle Kegler, Betsy Risendal, Andrea Dwyer, Vicki Young, Dayna Campbell, Michelle Carvalho, Yvonne Kellar-Guenther
A3: Mixed method examination of strategic leadership for evidence-based practice implementation
Gregory A. Aarons, Amy E. Green, Mark. G. Ehrhart, Elise M. Trott, Cathleen E. Willging
A4: Implementing practice change in Federally Qualified Health Centers: Learning from leaders’ experiences
Maria E. Fernandez, Nicholas H. Woolf, Shuting (Lily) Liang, Natalia I. Heredia, Michelle Kegler, Betsy Risendal, Andrea Dwyer, Vicki Young, Dayna Campbell, Michelle Carvalho, Yvonne Kellar-Guenther
A5: Efficient synthesis: Using qualitative comparative analysis and the Consolidated Framework for Implementation Research across diverse studies
Laura J. Damschroder, Julie C. Lowery
A6: Establishing a veterans engagement group to empower patients and inform Veterans Affairs (VA) health services research
Sarah S. Ono, Kathleen F. Carlson, Erika K. Cottrell, Maya E. O’Neil, Travis L. Lovejoy
A7: Building patient-practitioner partnerships in community oncology settings to implement behavioral interventions for anxious and depressed cancer survivors
Joanna J. Arch, Jill L. Mitchell
A8: Tailoring a Cognitive Behavioral Therapy implementation protocol using mixed methods, conjoint analysis, and implementation teams
Cara C. Lewis, Brigid R. Marriott, Kelli Scott
A9: Wraparound Structured Assessment and Review (WrapSTAR): An efficient, yet comprehensive approach to Wraparound implementation evaluation
Jennifer Schurer Coldiron, Eric J. Bruns, Alyssa N. Hook
A10: Improving the efficiency of standardized patient assessment of clinician fidelity: A comparison of automated actor-based and manual clinician-based ratings
Benjamin C. Graham, Katelin Jordan
A11: Measuring fidelity on the cheap
Rochelle F. Hanson, Angela Moreland, Benjamin E. Saunders, Heidi S. Resnick
A12: Leveraging routine clinical materials to assess fidelity to an evidence-based psychotherapy
Shannon Wiltsey Stirman, Cassidy A. Gutner, Jennifer Gamarra, Dawne Vogt, Michael Suvak, Jennifer Schuster Wachen, Katherine Dondanville, Jeffrey S. Yarvis, Jim Mintz, Alan L. Peterson, Elisa V. Borah, Brett T. Litz, Alma Molino, Stacey Young McCaughanPatricia A. Resick
A13: The video vignette survey: An efficient process for gathering diverse community opinions to inform an intervention
Nancy Pandhi, Nora Jacobson, Neftali Serrano, Armando Hernandez, Elizabeth Zeidler- Schreiter, Natalie Wietfeldt, Zaher Karp
A14: Using integrated administrative data to evaluate implementation of a behavioral health and trauma screening for children and youth in foster care
Michael D. Pullmann, Barbara Lucenko, Bridget Pavelle, Jacqueline A. Uomoto, Andrea Negrete, Molly Cevasco, Suzanne E. U. Kerns
A15: Intermediary organizations as a vehicle to promote efficiency and speed of implementation
Robert P. Franks, Christopher Bory
A16: Applying the Consolidated Framework for Implementation Research constructs directly to qualitative data: The power of implementation science in action
Edward J. Miech, Teresa M. Damush
A17: Efficient and effective scaling-up, screening, brief interventions, and referrals to treatment (SBIRT) training: a snowball implementation model
Jason Satterfield, Derek Satre, Maria Wamsley, Patrick Yuan, Patricia O’Sullivan
A18: Matching models of implementation to system needs and capacities: addressing the human factor
Helen Best, Susan Velasquez
A19: Agency characteristics that facilitate efficient and successful implementation efforts
Miya Barnett, Lauren Brookman-Frazee, Jennifer Regan, Nicole Stadnick, Alison Hamilton, Anna Lau
A20: Rapid assessment process: Application to the Prevention and Early Intervention transformation in Los Angeles County
Jennifer Regan, Alison Hamilton, Nicole Stadnick, Miya Barnett, Anna Lau, Lauren Brookman-Frazee
A21: The development of the Evidence-Based Practice-Concordant Care Assessment: An assessment tool to examine treatment strategies across practices
Nicole Stadnick, Anna Lau, Miya Barnett, Jennifer Regan, Scott Roesch, Lauren Brookman-Frazee
A22: Refining a compilation of discrete implementation strategies and determining their importance and feasibility
Byron J. Powell, Thomas J. Waltz, Matthew J. Chinman, Laura Damschroder, Jeffrey L. Smith, Monica M. Matthieu, Enola K. Proctor, JoAnn E. Kirchner
A23: Structuring complex recommendations: Methods and general findings
Thomas J. Waltz, Byron J. Powell, Matthew J. Chinman, Laura J. Damschroder, Jeffrey L. Smith, Monica J. Matthieu, Enola K. Proctor, JoAnn E. Kirchner
A24: Implementing prolonged exposure for post-traumatic stress disorder in the Department of Veterans Affairs: Expert recommendations from the Expert Recommendations for Implementing Change (ERIC) project
Monica M. Matthieu, Craig S. Rosen, Thomas J. Waltz, Byron J. Powell, Matthew J. Chinman, Laura J. Damschroder, Jeffrey L. Smith, Enola K. Proctor, JoAnn E. Kirchner
A25: When readiness is a luxury: Co-designing a risk assessment and quality assurance process with violence prevention frontline workers in Seattle, WA
Sarah C. Walker, Asia S. Bishop, Mariko Lockhart
A26: Implementation potential of structured recidivism risk assessments with justice- involved veterans: Qualitative perspectives from providers
Allison L. Rodriguez, Luisa Manfredi, Andrea Nevedal, Joel Rosenthal, Daniel M. Blonigen
A27: Developing empirically informed readiness measures for providers and agencies for the Family Check-Up using a mixed methods approach
Anne M. Mauricio, Thomas D. Dishion, Jenna Rudo-Stern, Justin D. Smith
A28: Pebbles, rocks, and boulders: The implementation of a school-based social engagement intervention for children with autism
Jill Locke, Courtney Benjamin Wolk, Colleen Harker, Anne Olsen, Travis Shingledecker, Frances Barg, David Mandell, Rinad S. Beidas
A29: Problem Solving Teletherapy (PST.Net): A stakeholder analysis examining the feasibility and acceptability of teletherapy in community based aging services
Marissa C. Hansen, Maria P. Aranda, Isabel Torres-Vigil
A30: A case of collaborative intervention design eventuating in behavior therapy sustainment and diffusion
Bryan Hartzler
A31: Implementation of suicide risk prevention in an integrated delivery system: Mental health specialty services
Bradley Steinfeld, Tory Gildred, Zandrea Harlin, Fredric Shephard
A32: Implementation team, checklist, evaluation, and feedback (ICED): A step-by-step approach to Dialectical Behavior Therapy program implementation
Matthew S. Ditty, Andrea Doyle, John A. Bickel III, Katharine Cristaudo
A33: The challenges in implementing muliple evidence-based practices in a community mental health setting
Dan Fox, Sonia Combs
A34: Using electronic health record technology to promote and support evidence-based practice assessment and treatment intervention
David H. Lischner
A35: Are existing frameworks adequate for measuring implementation outcomes? Results from a new simulation methodology
Richard A. Van Dorn, Stephen J. Tueller, Jesse M. Hinde, Georgia T. Karuntzos
A36: Taking global local: Evaluating training of Washington State clinicians in a modularized cogntive behavioral therapy approach designed for low-resource settings
Maria Monroe-DeVita, Roselyn Peterson, Doyanne Darnell, Lucy Berliner, Shannon Dorsey, Laura K. Murray
A37: Attitudes toward evidence-based practices across therapeutic orientations
Yevgeny Botanov, Beverly Kikuta, Tianying Chen, Marivi Navarro-Haro, Anthony DuBose, Kathryn E. Korslund, Marsha M. Linehan
A38: Predicting the use of an evidence-based intervention for autism in birth-to-three programs
Colleen M. Harker, Elizabeth A. Karp, Sarah R. Edmunds, Lisa V. Ibañez, Wendy L. Stone
A39: Supervision practices and improved fidelity across evidence-based practices: A literature review
Mimi Choy-Brown
A40: Beyond symptom tracking: clinician perceptions of a hybrid measurement feedback system for monitoring treatment fidelity and client progress
Jack H. Andrews, Benjamin D. Johnides, Estee M. Hausman, Kristin M. Hawley
A41: A guideline decision support tool: From creation to implementation
Beth Prusaczyk, Alex Ramsey, Ana Baumann, Graham Colditz, Enola K. Proctor
A42: Dabblers, bedazzlers, or total makeovers: Clinician modification of a common elements cognitive behavioral therapy approach
Rosemary D. Meza, Shannon Dorsey, Shannon Wiltsey-Stirman, Georganna Sedlar, Leah Lucid
A43: Characterization of context and its role in implementation: The impact of structure, infrastructure, and metastructure
Caitlin Dorsey, Brigid Marriott, Nelson Zounlome, Cara Lewis
A44: Effects of consultation method on implementation of cognitive processing therapy for post-traumatic stress disorder
Cassidy A. Gutner, Candice M. Monson, Norman Shields, Marta Mastlej, Meredith SH Landy, Jeanine Lane, Shannon Wiltsey Stirman
A45: Cross-validation of the Implementation Leadership Scale factor structure in child welfare service organizations
Natalie K. Finn, Elisa M. Torres, Mark. G. Ehrhart, Gregory A. Aarons
A46: Sustainability of integrated smoking cessation care in Veterans Affairs posttraumatic stress disorder clinics: A qualitative analysis of focus group data from learning collaborative participants
Carol A. Malte, Aline Lott, Andrew J. Saxon
A47: Key characteristics of effective mental health trainers: The creation of the Measure of Effective Attributes of Trainers (MEAT)
Meredith Boyd, Kelli Scott, Cara C. Lewis
A48: Coaching to improve teacher implementation of evidence-based practices (EBPs)
Jennifer D. Pierce
A49: Factors influencing the implementation of peer-led health promotion programs targeting seniors: A literature review
Agathe Lorthios-Guilledroit, Lucie Richard, Johanne Filiatrault
A50: Developing treatment fidelity rating systems for psychotherapy research: Recommendations and lessons learned
Kevin Hallgren, Shirley Crotwell, Rosa Muñoz, Becky Gius, Benjamin Ladd, Barbara McCrady, Elizabeth Epstein
A51: Rapid translation of alcohol prevention science
John D. Clapp, Danielle E. Ruderman
A52: Factors implicated in successful implementation: evidence to inform improved implementation from high and low-income countries
Melanie Barwick, Raluca Barac, Stanley Zlotkin, Laila Salim, Marnie
A53: Tracking implementation strategies prospectively: A practical approach
Alicia C. Bunger, Byron J. Powell, Hillary A. Robertson
A54: Trained but not implementing: the need for effective implementation planning tools
Christopher Botsko
A55: Evidence, context, and facilitation variables related to implementation of Dialectical Behavior Therapy: Qualitative results from a mixed methods inquiry in the Department of Veterans Affairs
Sara J. Landes, Brandy N. Smith, Allison L. Rodriguez, Lindsay R. Trent, Monica M. Matthieu
A56: Learning from implementation as usual in children’s mental health
Byron J. Powell, Enola K. Proctor
A57: Rates and predictors of implementation after Dialectical Behavior Therapy Intensive Training
Melanie S. Harned, Marivi Navarro-Haro, Kathryn E. Korslund, Tianying Chen, Anthony DuBose, André Ivanoff, Marsha M. Linehan
A58: Socio-contextual determinants of research evidence use in public-youth systems of care
Antonio R. Garcia, Minseop Kim, Lawrence A. Palinkas, Lonnie Snowden, John Landsverk
A59: Community resource mapping to integrate evidence-based depression treatment in primary care in Brazil: A pilot project
Annika C. Sweetland, Maria Jose Fernandes, Edilson Santos, Cristiane Duarte, Afrânio Kritski, Noa Krawczyk, Caitlin Nelligan, Milton L. Wainberg
A60: The use of concept mapping to efficiently identify determinants of implementation in the National Institute of Health--President’s Emergent Plan for AIDS Relief Prevention of Mother to Child HIV Transmission Implementation Science Alliance
Gregory A. Aarons, David H. Sommerfeld, Benjamin Chi, Echezona Ezeanolue, Rachel Sturke, Lydia Kline, Laura Guay, George Siberry
A61: Longitudinal remote consultation for implementing collaborative care for depression
Ian M. Bennett, Rinad Beidas, Rachel Gold, Johnny Mao, Diane Powers, Mindy Vredevoogd, Jurgen Unutzer
A62: Integrating a peer coach model to support program implementation and ensure long- term sustainability of the Incredible Years in community-based settings
Jennifer Schroeder, Lane Volpe, Julie Steffen
A63: Efficient sustainability: Existing community based supervisors as evidence-based treatment supports
Shannon Dorsey, Michael D Pullmann, Suzanne E. U. Kerns, Nathaniel Jungbluth, Lucy Berliner, Kelly Thompson, Eliza Segell
A64: Establishment of a national practice-based implementation network to accelerate adoption of evidence-based and best practices
Pearl McGee-Vincent, Nancy Liu, Robyn Walser, Jennifer Runnals, R. Keith Shaw, Sara J. Landes, Craig Rosen, Janet Schmidt, Patrick Calhoun
A65: Facilitation as a mechanism of implementation in a practice-based implementation network: Improving care in a Department of Veterans Affairs post-traumatic stress disorder outpatient clinic
Ruth L. Varkovitzky, Sara J. Landes
A66: The ACT SMART Toolkit: An implementation strategy for community-based organizations providing services to children with autism spectrum disorder
Amy Drahota, Jonathan I. Martinez, Brigitte Brikho, Rosemary Meza, Aubyn C. Stahmer, Gregory A. Aarons
A67: Supporting Policy In Health with Research: An intervention trial (SPIRIT) - protocol and early findings
Anna Williamson
A68: From evidence based practice initiatives to infrastructure: Lessons learned from a public behavioral health system’s efforts to promote evidence based practices
Ronnie M. Rubin, Byron J. Powell, Matthew O. Hurford, Shawna L. Weaver, Rinad S. Beidas, David S. Mandell, Arthur C. Evans
A69: Applying the policy ecology model to Philadelphia’s behavioral health transformation efforts
Byron J. Powell, Rinad S. Beidas, Ronnie M. Rubin, Rebecca E. Stewart, Courtney Benjamin Wolk, Samantha L. Matlin, Shawna Weaver, Matthew O. Hurford, Arthur C. Evans, Trevor R. Hadley, David S. Mandell
A70: A model for providing methodological expertise to advance dissemination and implementation of health discoveries in Clinical and Translational Science Award institutions
Donald R. Gerke, Beth Prusaczyk, Ana Baumann, Ericka M. Lewis, Enola K. Proctor
A71: Establishing a research agenda for the Triple P Implementation Framework
Jenna McWilliam, Jacquie Brown, Michelle Tucker
A72: Cheap and fast, but what is “best?”: Examining implementation outcomes across sites in a state-wide scaled-up evidence-based walking program, Walk With Ease
Kathleen P Conte
A73: Measurement feedback systems in mental health: Initial review of capabilities and characteristics
Aaron R. Lyon, Meredith Boyd, Abigail Melvin, Cara C. Lewis, Freda Liu, Nathaniel Jungbluth
A74: A qualitative investigation of case managers’ attitudes toward implementation of a measurement feedback system in a public mental health system for youth
Amelia Kotte, Kaitlin A. Hill, Albert C. Mah, Priya A. Korathu-Larson, Janelle R. Au, Sonia Izmirian, Scott Keir, Brad J. Nakamura, Charmaine K. Higa-McMillan
A75: Multiple pathways to sustainability: Using Qualitative Comparative Analysis to uncover the necessary and sufficient conditions for successful community-based implementation
Brittany Rhoades Cooper, Angie Funaiole, Eleanor Dizon
A76: Prescribers’ perspectives on opioids and benzodiazepines and medication alerts to reduce co-prescribing of these medications
Eric J. Hawkins, Carol A. Malte, Hildi J. Hagedorn, Douglas Berger, Anissa Frank, Aline Lott, Carol E. Achtmeyer, Anthony J. Mariano, Andrew J. Saxon
A77: Adaptation of Coordinated Anxiety Learning and Management for comorbid anxiety and substance use disorders: Delivery of evidence-based treatment for anxiety in addictions treatment centers
Kate Wolitzky-Taylor, Richard Rawson, Richard Ries, Peter Roy-Byrne, Michelle Craske
A78: Opportunities and challenges of measuring program implementation with online surveys
Dena Simmons, Catalina Torrente, Lori Nathanson, Grace Carroll
A79: Observational assessment of fidelity to a family-centered prevention program: Effectiveness and efficiency
Justin D. Smith, Kimbree Brown, Karina Ramos, Nicole Thornton, Thomas J. Dishion, Elizabeth A. Stormshak, Daniel S. Shaw, Melvin N. Wilson
A80: Strategies and challenges in housing first fidelity: A multistate qualitative analysis
Mimi Choy-Brown, Emmy Tiderington, Bikki Tran Smith, Deborah K. Padgett
A81: Procurement and contracting as an implementation strategy: Getting To Outcomes® contracting
Ronnie M. Rubin, Marilyn L. Ray, Abraham Wandersman, Andrea Lamont, Gordon Hannah, Kassandra A. Alia, Matthew O. Hurford, Arthur C. Evans
A82: Web-based feedback to aid successful implementation: The interactive Stages of Implementation Completion (SIC)TM tool
Lisa Saldana, Holle Schaper, Mark Campbell, Patricia Chamberlain
A83: Efficient methodologies for monitoring fidelity in routine implementation: Lessons from the Allentown Social Emotional Learning Initiative
Valerie B. Shapiro, B.K. Elizabeth Kim, Jennifer L. Fleming, Paul A. LeBuffe
A84: The Society for Implementation Research Collaboration (SIRC) implementation development workshop: Results from a new methodology for enhancing implementation science proposals
Sara J. Landes, Cara C. Lewis, Allison L. Rodriguez, Brigid R. Marriott, Katherine Anne Comtois
A85: An update on the Society for Implementation Research Collaboration (SIRC) Instrument Review Project
PMCID: PMC4928139  PMID: 27357964
6.  e-Health, m-Health and healthier social media reform: the big scale view 
In the upcoming decade, digital platforms will be the backbone of a strategic revolution in the way medical services are provided, affecting both healthcare providers and patients. Digital-based patient-centered healthcare services allow patients to actively participate in managing their own care, in times of health as well as illness, using personally tailored interactive tools. Such empowerment is expected to increase patients’ willingness to adopt actions and lifestyles that promote health as well as improve follow-up and compliance with treatment in cases of chronic illness. Clalit Health Services (CHS) is the largest HMO in Israel and second largest world-wide. Through its 14 hospitals, 1300 primary and specialized clinics, and 650 pharmacies, CHS provides comprehensive medical care to the majority of Israel’s population (above 4 million members). CHS e-Health wing focuses on deepening patient involvement in managing health, through personalized digital interactive tools. Currently, CHS e-Health wing provides e-health services for 1.56 million unique patients monthly with 2.4 million interactions every month (August 2011). Successful implementation of e-Health solutions is not a sum of technology, innovation and health; rather it’s the expertise of tailoring knowledge and leadership capabilities in multidisciplinary areas: clinical, ethical, psychological, legal, comprehension of patient and medical team engagement etc. The Google Health case excellently demonstrates this point. On the other hand, our success with CHS is a demonstration that e-Health can be enrolled effectively and fast with huge benefits for both patients and medical teams, and with a robust business model.
CHS e-Health core components
They include:
1. The personal health record layer (what the patient can see) presents patients with their own medical history as well as the medical history of their preadult children, including diagnoses, allergies, vaccinations, laboratory results with interpretations in layman’s terms, medications with clear, straightforward explanations regarding dosing instructions, important side effects, contraindications, such as lactation etc., and other important medical information. All personal e-Health services require identification and authorization.
2. The personal knowledge layer (what the patient should know) presents patients with personally tailored recommendations for preventative medicine and health promotion. For example, diabetic patients are push notified regarding their yearly eye exam. The various health recommendations include: occult blood testing, mammography, lipid profile etc. Each recommendation contains textual, visual and interactive content components in order to promote engagement and motivate the patient to actually change his health behaviour.
3. The personal health services layer (what the patient can do) enables patients to schedule clinic visits, order chronic prescriptions, e-consult their physician via secured e-mail, set SMS medication reminders, e-consult a pharmacist regarding personal medications. Consultants’ answers are sent securely to the patients’ personal mobile device.
On December 2009 CHS launched secured, web based, synchronous medical consultation via video conference. Currently 11,780 e-visits are performed monthly (May 2011). The medical encounter includes e-prescription and referral capabilities which are biometrically signed by the physician. On December 2010 CHS launched a unique mobile health platform, which is one of the most comprehensive personal m-Health applications world-wide. An essential advantage of mobile devices is their potential to bridge the digital divide. Currently, CHS m-Health platform is used by more than 45,000 unique users, with 75,000 laboratory results views/month, 1100 m-consultations/month and 9000 physician visit scheduling/month.
4. The Bio-Sensing layer (what physiological data the patient can populate) includes diagnostic means that allow remote physical examination, bio-sensors that broadcast various physiological measurements, and smart homecare devices, such as e-Pill boxes that gives seniors, patients and their caregivers the ability to stay at home and live life to its fullest. Monitored data is automatically transmitted to the patient’s Personal Health Record and to relevant medical personnel.
The monitoring layer is embedded in the chronic disease management platform, and in the interactive health promotion and wellness platform. It includes tailoring of consumer-oriented medical devices and service provided by various professional personnel—physicians, nurses, pharmacists, dieticians and more.
5. The Social layer (what the patient can share). Social media networks triggered an essential change at the humanity ‘genome’ level, yet to be further defined in the upcoming years. Social media has huge potential in promoting health as it combines fun, simple yet extraordinary user experience, and bio-social-feedback. There are two major challenges in leveraging health care through social networks:
a. Our personal health information is the cornerstone for personalizing healthier lifestyle, disease management and preventative medicine. We naturally see our personal health data as a super-private territory. So, how do we bring the power of our private health information, currently locked within our Personal Health Record, into social media networks without offending basic privacy issues?
b. Disease management and preventive medicine are currently neither considered ‘cool’ nor ‘fun’ or ‘potentially highly viral’ activities; yet, health is a major issue of everybody’s life. It seems like we are missing a crucial element with a huge potential in health behavioural change—the Fun Theory. Social media platforms comprehends user experience tools that potentially could break current misconception, and engage people in the daily task of taking better care of themselves.
CHS e-Health innovation team characterized several break-through applications in this unexplored territory within social media networks, fusing personal health and social media platforms without offending privacy. One of the most crucial issues regarding adoption of e-health and m-health platforms is change management. Being a ‘hot’ innovative ‘gadget’ is far from sufficient for changing health behaviours at the individual and population levels.
CHS health behaviour change management methodology includes 4 core elements:
1. Engaging two completely different populations: patients, and medical teams. e-Health applications must present true added value for both medical teams and patients, engaging them through understanding and assimilating “what’s really in it for me”. Medical teams are further subdivided into physicians, nurses, pharmacists and administrative personnel—each with their own driving incentive. Resistance to change is an obstacle in many fields but it is particularly true in the conservative health industry. To successfully manage a large scale persuasive process, we treat intra-organizational human resources as “Change Agents”. Harnessing the persuasive power of ~40,000 employees requires engaging them as the primary target group. Successful recruitment has the potential of converting each patient-medical team interaction into an exposure opportunity to the new era of participatory medicine via e-health and m-health channels.
2. Implementation waves: every group of digital health products that are released at the same time are seen as one project. Each implementation wave leverages the focus of the organization and target populations to a defined time span. There are three major and three minor implementation waves a year.
3. Change-Support Arrow: a structured infrastructure for every implementation wave. The sub-stages in this strategy include:
Cross organizational mapping and identification of early adopters and stakeholders relevant to the implementation wave
Mapping positive or negative perceptions and designing specific marketing approaches for the distinct target groups
Intra and extra organizational marketing
Conducting intensive training and presentation sessions for groups of implementers
Running conflict-prevention activities, such as advanced tackling of potential union resistance
Training change-agents with resistance-management behavioural techniques, focused intervention for specific incidents and for key opinion leaders
Extensive presence in the clinics during the launch period, etc.
The entire process is monitored and managed continuously by a review team.
4. Closing Phase: each wave is analyzed and a “lessons-learned” session concludes the changes required in the modus operandi of the e-health project team.
PMCID: PMC3571141
e-Health; mobile health; personal health record; online visit; patient empowerment; knowledge prescription
7.  Information exchange networks of health care providers and evidence-based cardiovascular risk management: an observational study 
Although a wide range of preventive and clinical interventions has targeted cardiovascular risk management (CVRM), outcomes remain suboptimal. Therefore, the question is what additional determinants of CVRM and outcomes can be identified and addressed to optimize CVRM. In this study, we aimed to identify new perspectives for improving healthcare delivery and explored associations between information exchange networks of health care providers and evidence-based CVRM.
This observational study was performed parallel to a randomized clinical trial which aimed to improve professional performance of practice nurses in the Netherlands. Information exchange on medical policy for CVRM (“general information networks”) and CVRM for individual patients (“specific information networks”) of 180 health professionals in 31 general practices was measured with personalized questionnaires. Medical record audit was performed concerning 1620 patients in these practices to document quality of care delivery and two risk factors (systolic blood pressure (SBP) and LDL cholesterol level). Hypothesized effects of five network characteristics (density, frequency of contact, centrality of CVRM-coordinators, homophily on positive attitudes for treatment target achievement, and presence of an opinion leader for CVRM) constructed on both general and specific information exchange networks were tested and controlled for practice and patient factors using logistic multilevel analyses.
Odds for adequate performance were enhanced in practices with an opinion leader for CVRM (OR 2.75, p < .05). Odds for achievement of SBP targets were reduced in practices who had networks with low homophily on positive attitudes for SBP and LDL targets (homophily for SBP targets OR 0.57, p < .05 and OR 0.60, p < .05, homophily for LDL targets OR 0.59, p < .05 and OR 0.61, p < .05 in general and specific information networks, respectively). No effects of network characteristics on cholesterol were found.
Delivery of evidence-based CVRM is associated with homophily of clinical attitudes and presence of opinion leaders in primary care teams. These results signal the potential of social networks to be taken into account in further attempts to improve the implementation of evidence-based care for CVRM. Future research is needed to identify and formulate optimal strategies for using opinion leaders to improve CVRM. Future interventions may be more effective if they target a common vision on CVRM within practices.
PMCID: PMC5237141  PMID: 28086813
Social network analysis; Evidence-based practice; Primary care; Cardiovascular disease; Implementation science
8.  Identification of potential opinion leaders in child health promotion in Sweden using network analysis 
BMC Research Notes  2012;5:424.
Opinion leaders are often local individuals with high credibility who can influence other people. Robust effects using opinion leaders in diffusing innovations have been shown in several randomized controlled trials, for example regarding sexually transmitted infections (STI), human immunodeficiency virus (HIV) prevention, mammography rates and caesarean birth delivery rates. In a Cochrane review 2010 it was concluded that the use of opinion leaders can successfully promote evidence-based practice. Thus, using opinion leaders within the public health sector might be one means to speed up the dissemination of health promoting and disease preventing innovations. Social network analysis has been used to trace and map networks, with focus on relationships and positions, in widely spread arenas and topics. The purpose of this study was to use social network analysis in order to identify potential opinion leaders at the arena of child health promotion in Sweden.
By using snowball technique a short e-mail question was spread in up to five links, starting from seven initially invited persons. This inquiry resulted in a network consisting of 153 individuals. The most often mentioned actors were researchers, public health officials and paediatricians, or a combination of these professions. Four single individuals were mentioned by five to seven other persons in the network. These individuals obviously possess qualities that make other professionals within the public health sector listen to and trust them.
Social network analysis seemed to be a useful method to identify influential persons with high credibility, i.e. potential opinion leaders, at the arena of child health promotion in Sweden. If genuine opinion leaders could be identified directed measures can be carried out in order to spread new and relevant knowledge. This may facilitate for public health actors at the local, regional and national level to more rapidly progress innovations into everyday practice. However, effectiveness studies of opinion leaders in the public health sector still have to be performed.
PMCID: PMC3434052  PMID: 22873749
Network analysis; Opinion leaders; Child health promotion
9.  Main Report 
Genetics in Medicine  2006;8(Suppl 1):12S-252S.
States vary widely in their use of newborn screening tests, with some mandating screening for as few as three conditions and others mandating as many as 43 conditions, including varying numbers of the 40+ conditions that can be detected by tandem mass spectrometry (MS/MS). There has been no national guidance on the best candidate conditions for newborn screening since the National Academy of Sciences report of 19751 and the United States Congress Office of Technology Assessment report of 1988,2 despite rapid developments since then in genetics, in screening technologies, and in some treatments.
In 2002, the Maternal and Child Health Bureau (MCHB) of the Health Resources and Services Administration (HRSA) of the United States Department of Health and Human Services (DHHS) commissioned the American College of Medical Genetics (ACMG) to: Conduct an analysis of the scientific literature on the effectiveness of newborn screening.Gather expert opinion to delineate the best evidence for screening for specified conditions and develop recommendations focused on newborn screening, including but not limited to the development of a uniform condition panel.Consider other components of the newborn screening system that are critical to achieving the expected outcomes in those screened.
A group of experts in various areas of subspecialty medicine and primary care, health policy, law, public health, and consumers worked with a steering committee and several expert work groups, using a two-tiered approach to assess and rank conditions. A first step was developing a set of principles to guide the analysis. This was followed by developing criteria by which conditions could be evaluated, and then identifying the conditions to be evaluated. A large and broadly representative group of experts was asked to provide their opinions on the extent to which particular conditions met the selected criteria, relying on supporting evidence and references from the scientific literature. The criteria were distributed among three main categories for each condition: The availability and characteristics of the screening test;The availability and complexity of diagnostic services; andThe availability and efficacy of treatments related to the conditions. A survey process utilizing a data collection instrument was used to gather expert opinion on the conditions in the first tier of the assessment. The data collection format and survey provided the opportunity to quantify expert opinion and to obtain the views of a diverse set of interest groups (necessary due to the subjective nature of some of the criteria). Statistical analysis of data produced a score for each condition, which determined its ranking and initial placement in one of three categories (high scoring, moderately scoring, or low scoring/absence of a newborn screening test). In the second tier of these analyses, the evidence base related to each condition was assessed in depth (e.g., via systematic reviews of reference lists including MedLine, PubMed and others; books; Internet searches; professional guidelines; clinical evidence; and cost/economic evidence and modeling). The fact sheets reflecting these analyses were evaluated by at least two acknowledged experts for each condition. These experts assessed the data and the associated references related to each criterion and provided corrections where appropriate, assigned a value to the level of evidence and the quality of the studies that established the evidence base, and determined whether there were significant variances from the survey data. Survey results were subsequently realigned with the evidence obtained from the scientific literature during the second-tier analysis for all objective criteria, based on input from at least three acknowledged experts in each condition. The information from these two tiers of assessment was then considered with regard to the overriding principles and other technology or condition-specific recommendations. On the basis of this information, conditions were assigned to one of three categories as described above:Core Panel;Secondary Targets (conditions that are part of the differential diagnosis of a core panel condition.); andNot Appropriate for Newborn Screening (either no newborn screening test is available or there is poor performance with regard to multiple other evaluation criteria).
ACMG also considered features of optimal newborn screening programs beyond the tests themselves by assessing the degree to which programs met certain goals (e.g., availability of educational programs, proportions of newborns screened and followed up). Assessments were based on the input of experts serving in various capacities in newborn screening programs and on 2002 data provided by the programs of the National Newborn Screening and Genetics Resource Center (NNSGRC). In addition, a brief cost-effectiveness assessment of newborn screening was conducted.
Uniform panel
A total of 292 individuals determined to be generally representative of the regional distribution of the United States population and of areas of expertise or involvement in newborn screening provided a total of 3,949 evaluations of 84 conditions. For each condition, the responses of at least three experts in that condition were compared with those of all respondents for that condition and found to be consistent. A score of 1,200 on the data collection instrument provided a logical separation point between high scoring conditions (1,200–1,799 of a possible 2,100) and low scoring (<1,000) conditions. A group of conditions with intermediate scores (1,000–1,199) was identified, all of which were part of the differential diagnosis of a high scoring condition or apparent in the result of the multiplex assay. Some are identified by screening laboratories and others by diagnostic laboratories. This group was designated as a “secondary target” category for which the program must report the diagnostic result.
Using the validated evidence base and expert opinion, each condition that had previously been assigned to a category based on scores gathered through the data collection instrument was reconsidered. Again, the factors taken into consideration were: 1) available scientific evidence; 2) availability of a screening test; 3) presence of an efficacious treatment; 4) adequate understanding of the natural history of the condition; and 5) whether the condition was either part of the differential diagnosis of another condition or whether the screening test results related to a clinically significant condition.
The conditions were then assigned to one of three categories as previously described (core panel, secondary targets, or not appropriate for Newborn Screening).
Among the 29 conditions assigned to the core panel are three hemoglobinopathies associated with a Hb/S allele, six amino acidurias, five disorders of fatty oxidation, nine organic acidurias, and six unrelated conditions (congenital hypothyroidism (CH), biotinidase deficiency (BIOT), congenital adrenal hyperplasia (CAH), classical galactosemia (GALT), hearing loss (HEAR) and cystic fibrosis (CF)). Twenty-three of the 29 conditions in the core panel are identified with multiplex technologies such as tandem mass spectrometry (MS/MS) or high pressure liquid chromatography (HPLC). On the basis of the evidence, six of the 35 conditions initially placed in the core panel were moved into the secondary target category, which expanded to 25 conditions. Test results not associated with potential disease in the infant (e.g., carriers) were also placed in the secondary target category. When newborn screening laboratory results definitively establish carrier status, the result should be made available to the health care professional community and families. Twenty-seven conditions were determined to be inappropriate for newborn screening at this time.
Conditions with limited evidence reported in the scientific literature were more difficult to evaluate, quantify and place in one of the three categories. In addition, many conditions were found to occur in multiple forms distinguished by age-of-onset, severity, or other features. Further, unless a condition was already included in newborn screening programs, there was a potential for bias in the information related to some criteria. In such circumstances, the quality of the studies underlying the data such as expert opinion that considered case reports and reasoning from first principles determined the placement of the conditions into particular categories.
Newborn screening program optimization
– Assessment of the activities of newborn screening programs, based on program reports, was done for the six program components: education; screening; follow-up; diagnostic confirmation; management; and program evaluation. Considerable variation was found between programs with regard to whether particular aspects (e.g., prenatal education program availability, tracking of specimen collection and delivery) were included and the degree to which they are provided. Newborn screening program evaluation systems also were assessed in order to determine their adequacy and uniformity with the goal being to improve interprogram evaluation and comparison to ensure that the expected outcomes from having been identified in screening are realized.
The state of the published evidence in the fast-moving worlds of newborn screening and medical genetics has not kept up with the implementation of new technologies, thus requiring the considerable use of expert opinion to develop recommendations about a core panel of conditions for newborn screening. Twenty-nine conditions were identified as primary targets for screening from which all components of the newborn screening system should be maximized. An additional 25 conditions were listed that could be identified in the course of screening for core panel conditions. Programs are obligated to establish a diagnosis and communicate the result to the health care provider and family. It is recognized that screening may not have been maximized for the detection of these secondary conditions but that some proportion of such cases may be found among those screened for core panel conditions. With additional screening, greater training of primary care health care professionals and subspecialists will be needed, as will the development of an infrastructure for appropriate follow-up and management throughout the lives of children who have been identified as having one of these rare conditions. Recommended actions to overcome barriers to an optimal newborn screening system include: The establishment of a national role in the scientific evaluation of conditions and the technologies by which they are screened;Standardization of case definitions and reporting procedures;Enhanced oversight of hospital-based screening activities;Long-term data collection and surveillance; andConsideration of the financial needs of programs to allow them to deliver the appropriate services to the screened population.
PMCID: PMC3109899
10.  Expanding Access to a New, More Affordable Levonorgestrel Intrauterine System in Kenya: Service Delivery Costs Compared With Other Contraceptive Methods and Perspectives of Key Opinion Leaders 
Global Health: Science and Practice  2016;4(Suppl 2):S83-S93.
At a public-sector transfer price of US$15 per unit, the direct service delivery cost of Medicines360's levonorgestrel intrauterine system (LNG IUS) per couple-years of protection is comparable with the cost of other contraceptive products commonly procured in Kenya. Interviews with key opinion leaders suggest that introduction of a more affordable LNG IUS could help increase demand for the method.
At a public-sector transfer price of US$15 per unit, the direct service delivery cost of Medicines360's levonorgestrel intrauterine system (LNG IUS) per couple-years of protection would be comparable with the cost of other contraceptive products commonly procured in Kenya. Interviews with key opinion leaders suggest that introduction of a more affordable LNG IUS could help increase demand for the method.
The levonorgestrel intrauterine system (LNG IUS) is one of the most effective forms of contraception and offers important non-contraceptive health benefits. However, it is not widely available in developing countries, largely due to the high price of existing products. Medicines360 plans to introduce its new, more affordable LNG IUS in Kenya. The public‐sector transfer price will vary by volume between US$12 to US$16 per unit; for an order of 100,000 units, the public-sector transfer price will be approximately US$15 per unit.
We calculated the direct service delivery cost per couple-years of protection (CYP) of various family planning methods. The model includes the costs of contraceptive commodities, consumable supplies, instruments per client visit, and direct labor for counseling, insertion, removal, and resupply, if required. The model does not include costs of demand creation or training. We conducted interviews with key opinion leaders in Kenya to identify considerations for scale-up of a new LNG IUS, including strategies to overcome barriers that have contributed to low uptake of the copper intrauterine device.
The direct service delivery cost of Medicines360’s LNG IUS per CYP compares favorably with other contraceptive methods commonly procured for public-sector distribution in Kenya. The cost is slightly lower than that of the 3-month contraceptive injectable, which is currently the most popular method in Kenya. Almost all key opinion leaders agreed that introducing a more affordable LNG IUS could increase demand and uptake of the method. They thought that women seeking the product’s non-contraceptive health benefits would be a key market segment, and most agreed that the reduced menstrual bleeding associated with the method would likely be viewed as an advantage. The key opinion leaders indicated that myths and misconceptions among providers and clients about IUDs must be addressed, and that demand creation and provider training should be prioritized.
Introducing a new, more affordable LNG IUS product could help expand choice for women in Kenya and increase use of long-acting reversible contraception. Further evaluation is needed to identify the full costs required for introduction—including the cost of demand creation—as well as research among potential and actual LNG IUS users, their partners, and health care providers to help inform scale-up of the method.
PMCID: PMC4990165  PMID: 27540128
11.  Opinion leaders and changes over time: a survey 
Opinion leaders represent one way to disseminate new knowledge and influence the practice behaviors of physicians. This study explored the stability of opinion leaders over time, whether opinion leaders were polymorphic (i.e., influencing multiple practice areas) or monomorphic (i.e., influencing one practice area), and reach of opinion leaders in their local network.
We surveyed surgeons and pathologists in Ontario to identify opinion leaders for colorectal cancer in 2003 and 2005 and to identify opinion leaders for breast cancer in 2005. We explored whether opinion leaders for colorectal cancer identified in 2003 were re-identified in 2005. We examined whether opinion leaders were considered polymorphic (nominated in 2005 as opinion leaders for both colorectal and breast cancer) or monomorphic (nominated in 2005 for only one condition). Social-network mapping was used to identify the number of local colleagues identifying opinion leaders.
Response rates for surgeons were 41% (2003) and 40% (2005); response rates for pathologists were 42% (2003) and 37% (2005). Four (25%) of the surgical opinion leaders identified in 2003 for colorectal cancer were re-identified in 2005. No pathology opinion leaders for colorectal cancer were identified in both 2003 and 2005. Only 29% of surgical opinion leaders and 17% of pathology opinion leaders identified in the 2005 survey were considered influential for both colorectal cancer and breast cancer. Social-network mapping revealed that only a limited number of general surgeons (12%) or pathologists (7%) were connected to the social networks of identified opinion leaders.
Opinion leaders identified in this study were not stable over a two-year time period and generally appear to be monomorphic, with clearly demarcated areas of expertise and limited spheres of influence. These findings may limit the practicability of routinely using opinion leaders to influence practice.
PMCID: PMC3205036  PMID: 21988924
12.  Leadership of healthcare commissioning networks in England: a mixed-methods study on clinical commissioning groups 
BMJ Open  2013;3(2):e002112.
To explore the relational challenges for general practitioner (GP) leaders setting up new network-centric commissioning organisations in the recent health policy reform in England, we use innovation network theory to identify key network leadership practices that facilitate healthcare innovation.
Mixed-method, multisite and case study research.
Six clinical commissioning groups and local clusters in the East of England area, covering in total 208 GPs and 1 662 000 population.
Semistructured interviews with 56 lead GPs, practice managers and staff from the local health authorities (primary care trusts, PCT) as well as various healthcare professionals; 21 observations of clinical commissioning group (CCG) board and executive meetings; electronic survey of 58 CCG board members (these included GPs, practice managers, PCT employees, nurses and patient representatives) and subsequent social network analysis.
Main outcome measures
Collaborative relationships between CCG board members and stakeholders from their healthcare network; clarifying the role of GPs as network leaders; strengths and areas for development of CCGs.
Drawing upon innovation network theory provides unique insights of the CCG leaders’ activities in establishing best practices and introducing new clinical pathways. In this context we identified three network leadership roles: managing knowledge flows, managing network coherence and managing network stability. Knowledge sharing and effective collaboration among GPs enable network stability and the alignment of CCG objectives with those of the wider health system (network coherence). Even though activities varied between commissioning groups, collaborative initiatives were common. However, there was significant variation among CCGs around the level of engagement with providers, patients and local authorities. Locality (sub) groups played an important role because they linked commissioning decisions with patient needs and brought the leaders closer to frontline stakeholders.
With the new commissioning arrangements, the leaders should seek to move away from dyadic and transactional relationships to a network structure, thereby emphasising on the emerging relational focus of their roles. Managing knowledge mobility, healthcare network coherence and network stability are the three clinical leadership processes that CCG leaders need to consider in coordinating their network and facilitating the development of good clinical commissioning decisions, best practices and innovative services. To successfully manage these processes, CCG leaders need to leverage the relational capabilities of their network as well as their clinical expertise to establish appropriate collaborations that may improve the healthcare services in England. Lack of local GP engagement adds uncertainty to the system and increases the risk of commissioning decisions being irrelevant and inefficient from patient and provider perspectives.
PMCID: PMC3586053  PMID: 23430596
Health Services Administration & Management; Qualitative Research
13.  Preparing towards Preventing and Containing an Ebola Virus Disease Outbreak: What Socio-cultural Practices May Affect Containment Efforts in Ghana? 
PLoS Neglected Tropical Diseases  2016;10(7):e0004852.
Ebola Virus Disease (EVD) is a condition with high fatality. Though the disease is deadly, taking precautions to reduce contact with infected people and their secretions can prevent cross- infection. In the 2014 EVD outbreak, socio-cultural factors were identified to be responsible for the spread of the disease in the three most affected countries in West Africa. In this light, we undertook this study to identify socio-cultural factors that may influence the prevention and containment of EVD in Ghana and ways to address such practices.
We conducted a descriptive qualitative study in five regions in Ghana. Twenty-five focus group discussions (5 in each region) with community members (4 in each region) and nurses (1 in each region) were conducted. In addition, forty (40) in-depth interviews were conducted with various stakeholders and opinion leaders; eight in each region. All interviews were recorded using a digital voice recorder and transcribed. With the aid of Nvivo 10 for windows, we analyzed the data using framework analysis.
We found that socio-cultural practices, such as care of the body of dead and burial practices, widowhood rites and anointing children with water used to rinse the dead, were common. These practices require individuals coming into direct contact with either the dead or items used to take care of the dead. Social norms also require frequent handshakes in all social gatherings such as funeral, and religious congregations. We also found that self-medication (using herbs and orthodox medications) was a common practice. People use both biomedical and non-orthodox health outlets either simultaneously or in sequence in times of ill-health.
The study concludes that high risk socio-cultural practices were common among Ghanaians and generally perceived as indispensable. These high risk practices may hinder containment efforts in the event of an outbreak. Community leaders should be engaged in any social mobilization to modify these practices as part of preparation efforts.
Author Summary
The 2014 Ebola Virus Disease outbreak emerged as the most devastating outbreaks in recent history. This outbreak spread across continents with West Africa remaining the epicenter. Although, the three most affected countries have been declared Ebola free, the recent re-emergence of cases in Sierra Leone require that countries in West Africa do not relent in their EVD containment efforts. Burial and funeral practices are high-risk practices that can facilitate the spread of ebola and hinder containment efforts. These practices vary across countries and regions. In this study, we found that despite the social and contextual difference across regions in Ghana, common high-risk practices exist and perceived to be indispensable. We also found that little attention were given to these practices in risk communication and community engagements. These practices required either touching the dead or items used in taking care of the dead. Widowhood rites require a widow drinking water used to bath the deceased husband to show her innocence in the husband’s death. Findings of this study attest to the need for improved dialogue with community leaders to provide alternatives to these high-risk socio-cultural practices to be able to contain an Ebola outbreak. Countries with similar socio-cultural practices could also use the findings of this study to guide behavioural change communication strategies.
PMCID: PMC4948768  PMID: 27428069
14.  Re-Designing Community Mental Health Services for Urban Children: Supporting Schooling to Promote Mental Health 
This study examined a school- and home-based mental health service model, Links to Learning (L2L), focused on empirical predictors of learning as primary goals for services in high poverty urban communities.
Teacher key opinion leaders (KOLs) were identified through sociometric surveys and trained, with mental health providers (MHPs) and parent advocates (PAs), on evidence-based practices to enhance children’s learning. KOLs and MHPs co-facilitated professional development sessions for classroom teachers to disseminate two universal (Good Behavior Game, Peer Assisted Learning) and two targeted (Good News Notes, Daily Report Card) interventions. Group-based and home-based family education and support were delivered by MHPs and PAs for K-4th grade children diagnosed with one or more disruptive behavior disorder. Services were Medicaid-funded through four social service agencies (N = 17 providers) in seven schools (N = 136 teachers, 171 children) in a two (L2L vs. services-as-usual SAU]) by six (pre- and post-tests for three years) longitudinal design with random assignment of schools to conditions. SAU consisted of supported referral to a nearby social service agency.
Mixed effects regression models indicated significant positive effects of L2L on mental health service use, classroom observations of academic engagement, teacher report of academic competence and social skills, and parent report of social skills. Nonsignificant between-group effects were found on teacher and parent report of problem behaviors, daily hassles, and curriculum based measures. Effects were strongest for young children, girls, and children with fewer symptoms.
Community mental health services targeting empirical predictors of learning can improve school and home behavior for children living in high poverty urban communities.
PMCID: PMC4549808  PMID: 26302252
School-based mental health; disruptive behavior disorder; urban communities; key opinion leaders; public health
15.  Behavioural Interventions for Urinary Incontinence in Community-Dwelling Seniors 
Executive Summary
In early August 2007, the Medical Advisory Secretariat began work on the Aging in the Community project, an evidence-based review of the literature surrounding healthy aging in the community. The Health System Strategy Division at the Ministry of Health and Long-Term Care subsequently asked the secretariat to provide an evidentiary platform for the ministry’s newly released Aging at Home Strategy.
After a broad literature review and consultation with experts, the secretariat identified 4 key areas that strongly predict an elderly person’s transition from independent community living to a long-term care home. Evidence-based analyses have been prepared for each of these 4 areas: falls and fall-related injuries, urinary incontinence, dementia, and social isolation. For the first area, falls and fall-related injuries, an economic model is described in a separate report.
Please visit the Medical Advisory Secretariat Web site,, to review these titles within the Aging in the Community series.
Aging in the Community: Summary of Evidence-Based Analyses
Prevention of Falls and Fall-Related Injuries in Community-Dwelling Seniors: An Evidence-Based Analysis
Behavioural Interventions for Urinary Incontinence in Community-Dwelling Seniors: An Evidence-Based Analysis
Caregiver- and Patient-Directed Interventions for Dementia: An Evidence-Based Analysis
Social Isolation in Community-Dwelling Seniors: An Evidence-Based Analysis
The Falls/Fractures Economic Model in Ontario Residents Aged 65 Years and Over (FEMOR)
To assess the effectiveness of behavioural interventions for the treatment and management of urinary incontinence (UI) in community-dwelling seniors.
Clinical Need: Target Population and Condition
Urinary incontinence defined as “the complaint of any involuntary leakage of urine” was identified as 1 of the key predictors in a senior’s transition from independent community living to admission to a long-term care (LTC) home. Urinary incontinence is a health problem that affects a substantial proportion of Ontario’s community-dwelling seniors (and indirectly affects caregivers), impacting their health, functioning, well-being and quality of life. Based on Canadian studies, prevalence estimates range from 9% to 30% for senior men and nearly double from 19% to 55% for senior women. The direct and indirect costs associated with UI are substantial. It is estimated that the total annual costs in Canada are $1.5 billion (Cdn), and that each year a senior living at home will spend $1,000 to $1,500 on incontinence supplies.
Interventions to treat and manage UI can be classified into broad categories which include lifestyle modification, behavioural techniques, medications, devices (e.g., continence pessaries), surgical interventions and adjunctive measures (e.g., absorbent products).
The focus of this review is behavioural interventions, since they are commonly the first line of treatment considered in seniors given that they are the least invasive options with no reported side effects, do not limit future treatment options, and can be applied in combination with other therapies. In addition, many seniors would not be ideal candidates for other types of interventions involving more risk, such as surgical measures.
Note: It is recognized that the terms “senior” and “elderly” carry a range of meanings for different audiences; this report generally uses the former, but the terms are treated here as essentially interchangeable.
Description of Technology/Therapy
Behavioural interventions can be divided into 2 categories according to the target population: caregiver-dependent techniques and patient-directed techniques. Caregiver-dependent techniques (also known as toileting assistance) are targeted at medically complex, frail individuals living at home with the assistance of a caregiver, who tends to be a family member. These seniors may also have cognitive deficits and/or motor deficits. A health care professional trains the senior’s caregiver to deliver an intervention such as prompted voiding, habit retraining, or timed voiding. The health care professional who trains the caregiver is commonly a nurse or a nurse with advanced training in the management of UI, such as a nurse continence advisor (NCA) or a clinical nurse specialist (CNS).
The second category of behavioural interventions consists of patient-directed techniques targeted towards mobile, motivated seniors. Seniors in this population are cognitively able, free from any major physical deficits, and motivated to regain and/or improve their continence. A nurse or a nurse with advanced training in UI management, such as an NCA or CNS, delivers the patient-directed techniques. These are often provided as multicomponent interventions including a combination of bladder training techniques, pelvic floor muscle training (PFMT), education on bladder control strategies, and self-monitoring. Pelvic floor muscle training, defined as a program of repeated pelvic floor muscle contractions taught and supervised by a health care professional, may be employed as part of a multicomponent intervention or in isolation.
Education is a large component of both caregiver-dependent and patient-directed behavioural interventions, and patient and/or caregiver involvement as well as continued practice strongly affect the success of treatment. Incontinence products, which include a large variety of pads and devices for effective containment of urine, may be used in conjunction with behavioural techniques at any point in the patient’s management.
Evidence-Based Analysis Methods
A comprehensive search strategy was used to identify systematic reviews and randomized controlled trials that examined the effectiveness, safety, and cost-effectiveness of caregiver-dependent and patient-directed behavioural interventions for the treatment of UI in community-dwelling seniors (see Appendix 1).
Research Questions
Are caregiver-dependent behavioural interventions effective in improving UI in medically complex, frail community-dwelling seniors with/without cognitive deficits and/or motor deficits?
Are patient-directed behavioural interventions effective in improving UI in mobile, motivated community-dwelling seniors?
Are behavioural interventions delivered by NCAs or CNSs in a clinic setting effective in improving incontinence outcomes in community-dwelling seniors?
Assessment of Quality of Evidence
The quality of the evidence was assessed as high, moderate, low, or very low according to the GRADE methodology and GRADE Working Group. As per GRADE the following definitions apply:
Summary of Findings
Executive Summary Table 1 summarizes the results of the analysis.
The available evidence was limited by considerable variation in study populations and in the type and severity of UI for studies examining both caregiver-directed and patient-directed interventions. The UI literature frequently is limited to reporting subjective outcome measures such as patient observations and symptoms. The primary outcome of interest, admission to a LTC home, was not reported in the UI literature. The number of eligible studies was low, and there were limited data on long-term follow-up.
Summary of Evidence on Behavioural Interventions for the Treatment of Urinary Incontinence in Community-Dwelling Seniors
Prompted voiding
Habit retraining
Timed voiding
Bladder training
PFMT (with or without biofeedback)
Bladder control strategies
CI refers to confidence interval; CNS, clinical nurse specialist; NCA, nurse continence advisor; PFMT, pelvic floor muscle training; RCT, randomized controlled trial; WMD, weighted mean difference; UI, urinary incontinence.
Economic Analysis
A budget impact analysis was conducted to forecast costs for caregiver-dependent and patient-directed multicomponent behavioural techniques delivered by NCAs, and PFMT alone delivered by physiotherapists. All costs are reported in 2008 Canadian dollars. Based on epidemiological data, published medical literature and clinical expert opinion, the annual cost of caregiver-dependent behavioural techniques was estimated to be $9.2 M, while the annual costs of patient-directed behavioural techniques delivered by either an NCA or physiotherapist were estimated to be $25.5 M and $36.1 M, respectively. Estimates will vary if the underlying assumptions are changed.
Currently, the province of Ontario absorbs the cost of NCAs (available through the 42 Community Care Access Centres across the province) in the home setting. The 2007 Incontinence Care in the Community Report estimated that the total cost being absorbed by the public system of providing continence care in the home is $19.5 M in Ontario. This cost estimate included resources such as personnel, communication with physicians, record keeping and product costs. Clinic costs were not included in this estimation because currently these come out of the global budget of the respective hospital and very few continence clinics actually exist in the province. The budget impact analysis factored in a cost for the clinic setting, assuming that the public system would absorb the cost with this new model of community care.
Considerations for Ontario Health System
An expert panel on aging in the community met on 3 occasions from January to May 2008, and in part, discussed treatment of UI in seniors in Ontario with a focus on caregiver-dependent and patient-directed behavioural interventions. In particular, the panel discussed how treatment for UI is made available to seniors in Ontario and who provides the service. Some of the major themes arising from the discussions included:
Services/interventions that currently exist in Ontario offering behavioural interventions to treat UI are not consistent. There is a lack of consistency in how seniors access services for treatment of UI, who manages patients and what treatment patients receive.
Help-seeking behaviours are important to consider when designing optimal service delivery methods.
There is considerable social stigma associated with UI and therefore there is a need for public education and an awareness campaign.
The cost of incontinent supplies and the availability of NCAs were highlighted.
There is moderate-quality evidence that the following interventions are effective in improving UI in mobile motivated seniors:
Multicomponent behavioural interventions including a combination of bladder training techniques, PFMT (with or without biofeedback), education on bladder control strategies and self-monitoring techniques.
Pelvic floor muscle training alone.
There is moderate quality evidence that when behavioural interventions are led by NCAs or CNSs in a clinic setting, they are effective in improving UI in seniors.
There is limited low-quality evidence that prompted voiding may be effective in medically complex, frail seniors with motivated caregivers.
There is insufficient evidence for the following interventions in medically complex, frail seniors with motivated caregivers:
habit retraining, and
timed voiding.
PMCID: PMC3377527  PMID: 23074508
16.  Identifying Network Public Opinion Leaders Based on Markov Logic Networks 
The Scientific World Journal  2014;2014:268592.
Public opinion emergencies have important effect on social activities. Recognition of special communities like opinion leaders can contribute to a comprehensive understanding of the development trend of public opinion. In this paper, a network opinion leader recognition method based on relational data was put forward, and an opinion leader recognition system integrating public opinion data acquisition module, data characteristic selection, and fusion module as well as opinion leader discovery module based on Markov Logic Networks was designed. The designed opinion leader recognition system not only can overcome the incomplete data acquisition and isolated task of traditional methods, but also can recognize opinion leaders comprehensively with considerations to multiple problems by using the relational model. Experimental results demonstrated that, compared with the traditional methods, the proposed method can provide a more accurate opinion leader recognition and has good noise immunity.
PMCID: PMC3995098  PMID: 24977188
17.  Discovering opinion leaders for medical topics using news articles 
Rapid identification of subject experts for medical topics helps in improving the implementation of discoveries by speeding the time to market drugs and aiding in clinical trial recruitment, etc. Identifying such people who influence opinion through social network analysis is gaining prominence. In this work, we explore how to combine named entity recognition from unstructured news articles with social network analysis to discover opinion leaders for a given medical topic.
We employed a Conditional Random Field algorithm to extract three categories of entities from health-related new articles: Person, Organization and Location. We used the latter two to disambiguate polysemy and synonymy for the person names, used simple rules to identify the subject experts, and then applied social network analysis techniques to discover the opinion leaders among them based on their media presence. A network was created by linking each pair of subject experts who are mentioned together in an article. The social network analysis metrics (including centrality metrics such as Betweenness, Closeness, Degree and Eigenvector) are used for ranking the subject experts based on their power in information flow.
We extracted 734,204 person mentions from 147,528 news articles related to obesity from January 1, 2007 through July 22, 2010. Of these, 147,879 mentions have been marked as subject experts. The F-score of extracting person names is 88.5%. More than 80% of the subject experts who rank among top 20 in at least one of the metrics could be considered as opinion leaders in obesity.
The analysis of the network of subject experts with media presence revealed that an opinion leader might have fewer mentions in the news articles, but a high network centrality measure and vice-versa. Betweenness, Closeness and Degree centrality measures were shown to supplement frequency counts in the task of finding subject experts. Further, opinion leaders missed in scientific publication network analysis could be retrieved from news articles.
PMCID: PMC3338075  PMID: 22420330
18.  Clinician-centred interventions to increase vaginal birth after caesarean section (VBAC): a systematic review 
The number of caesarean sections (CS) is increasing globally, and repeat CS after a previous CS is a significant contributor to the overall CS rate. Vaginal birth after caesarean (VBAC) can be seen as a real and viable option for most women with previous CS. To achieve success, however, women need the support of their clinicians (obstetricians and midwives). The aim of this study was to evaluate clinician-centred interventions designed to increase the rate of VBAC.
The bibliographic databases of The Cochrane Library, PubMed, PsychINFO and CINAHL were searched for randomised controlled trials, including cluster randomised trials that evaluated the effectiveness of any intervention targeted directly at clinicians aimed at increasing VBAC rates. Included studies were appraised independently by two reviewers. Data were extracted independently by three reviewers. The quality of the included studies was assessed using the quality assessment tool, ‘Effective Public Health Practice Project’. The primary outcome measure was VBAC rates.
238 citations were screened, 255 were excluded by title and abstract. 11 full-text papers were reviewed; eight were excluded, resulting in three included papers. One study evaluated the effectiveness of antepartum x-ray pelvimetry (XRP) in 306 women with one previous CS. One study evaluated the effects of external peer review on CS birth in 45 hospitals, and the third evaluated opinion leader education and audit and feedback in 16 hospitals. The use of external peer review, audit and feedback had no significant effect on VBAC rates. An educational strategy delivered by an opinion leader significantly increased VBAC rates. The use of XRP significantly increased CS rates.
This systematic review indicates that few studies have evaluated the effects of clinician-centred interventions on VBAC rates, and interventions are of varying types which limited the ability to meta-analyse data. A further limitation is that the included studies were performed during the late 1980s-1990s. An opinion leader educational strategy confers benefit for increasing VBAC rates. This strategy should be further studied in different maternity care settings and with professionals other than physicians only.
Electronic supplementary material
The online version of this article (doi:10.1186/s12884-015-0441-3) contains supplementary material, which is available to authorized users.
PMCID: PMC4324420  PMID: 25652550
VBAC; Systematic review; Interventions; Clinicians
19.  No magic bullets: a systematic review of 102 trials of interventions to improve professional practice. 
OBJECTIVE: To determine the effectiveness of different types of interventions in improving health professional performance and health outcomes. DATA SOURCES: MEDLINE, SCISEARCH, CINAHL and the Research and Development Resource Base in CME were searched for trials of educational interventions in the health care professions published between 1970 and 1993 inclusive. STUDY SELECTION: Studies were selected if they provided objective measurements of health professional performance or health outcomes and employed random or quasi-random allocation methods in their study designs to assign individual subjects or groups. Interventions included such activities as conferences, outreach visits, the use of local opinion leaders, audit and feedback, and reminder systems. DATA EXTRACTION: Details extracted from the studies included the study design; the unit of allocation (e.g., patient, provider, practice, hospital); the characteristics of the targeted health care professionals, educational interventions and patients (when appropriate); and the main outcome measure. DATA SYNTHESIS: The inclusion criteria were met by 102 trials. Areas of behaviour change included general patient management, preventive services, prescribing practices, treatment of specific conditions such as hypertension or diabetes, and diagnostic service or hospital utilization. Dissemination-only strategies, such as conferences or the mailing of unsolicited materials, demonstrated little or no changes in health professional behaviour or health outcome when used alone. More complex interventions, such as the use of outreach visits or local opinion leaders, ranged from ineffective to highly effective but were most often moderately effective (resulting in reductions of 20% to 50% in the incidence of inappropriate performance). CONCLUSION: There are no "magic bullets" for improving the quality of health care, but there are a wide range of interventions available that, if used appropriately, could lead to important improvements in professional practice and patient outcomes.
PMCID: PMC1487455  PMID: 7585368
20.  Shared Expectations for Protection of Identifiable Health Care Information 
The Ethical Force Program is a collaborative effort to create performance measures for ethics in health care. This report lays out areas of consensus that may be amenable to performance measurement on protecting the privacy, confidentiality and security of identifiable health information.
Iterative consensus development process.
The program's oversight body and its expert panel on privacy include national leaders representing the perspectives of physicians, patients, purchasers, health plans, hospitals, and medical ethicists as well as public health, law, and medical informatics experts.
The oversight body appointed a national Expert Advisory Panel on Privacy and Confidentiality in September 1998. This group compiled and reviewed existing norms, including governmental reports and legal standards, professional association policies, private organization statements and policies, accreditation standards, and ethical opinions. A set of specific and assessable expectations for ethical conduct in this domain was then drafted and refined through 7 meetings over 16 months. In the final 2 iterations, each expectation was graded on a scale of 1 to 10 by each oversight body member on whether it was: (1) important, (2) universally applicable, (3) feasible to measure, and (4) realistic to implement. The expectations that did not score more than 7 (mean) on all 4 scales were reconsidered and retained only if the entire oversight body agreed that they should be used as potential subjects for performance measurement. Consensus was achieved on 34 specific expectations. The expectations fell into 8 content areas, addressing the need for transparency of policies and practices, consent for use and disclosure of identifiable information, limitations on information that can be collected and by whom, individual access to one's own health records, security requirements for storage and transfer of information, provisions to ensure ongoing data quality, limitations on how identifiable information may be used, and provisions for meaningful accountability.
This process established consensus on 34 measurable ethical expectations for the protection of privacy and confidentiality in health care. These expectations should apply to any organization with access to personally identifiable health information, including managed care organizations, physician groups, hospitals, other provider organizations, and purchasers. Performance measurement on these expectations may improve accountability across the health care system.
PMCID: PMC1495179  PMID: 11251761
health policy; health care information
21.  Behavioural Interventions for Type 2 Diabetes 
Executive Summary
In June 2008, the Medical Advisory Secretariat began work on the Diabetes Strategy Evidence Project, an evidence-based review of the literature surrounding strategies for successful management and treatment of diabetes. This project came about when the Health System Strategy Division at the Ministry of Health and Long-Term Care subsequently asked the secretariat to provide an evidentiary platform for the Ministry’s newly released Diabetes Strategy.
After an initial review of the strategy and consultation with experts, the secretariat identified five key areas in which evidence was needed. Evidence-based analyses have been prepared for each of these five areas: insulin pumps, behavioural interventions, bariatric surgery, home telemonitoring, and community based care. For each area, an economic analysis was completed where appropriate and is described in a separate report.
To review these titles within the Diabetes Strategy Evidence series, please visit the Medical Advisory Secretariat Web site,,
Diabetes Strategy Evidence Platform: Summary of Evidence-Based Analyses
Continuous Subcutaneous Insulin Infusion Pumps for Type 1 and Type 2 Adult Diabetics: An Evidence-Based Analysis
Behavioural Interventions for Type 2 Diabetes: An Evidence-Based Analysis
Bariatric Surgery for People with Diabetes and Morbid Obesity: An Evidence-Based Summary
Community-Based Care for the Management of Type 2 Diabetes: An Evidence-Based Analysis
Home Telemonitoring for Type 2 Diabetes: An Evidence-Based Analysis
Application of the Ontario Diabetes Economic Model (ODEM) to Determine the Cost-effectiveness and Budget Impact of Selected Type 2 Diabetes Interventions in Ontario
The objective of this report is to determine whether behavioural interventions1 are effective in improving glycemic control in adults with type 2 diabetes.
Diabetes is a serious chronic condition affecting millions of people worldwide and is the sixth leading cause of death in Canada. In 2005, an estimated 8.8% of Ontario’s population had diabetes, representing more than 816,000 Ontarians. The direct health care cost of diabetes was $1.76 billion in the year 2000 and is projected to rise to a total cost of $3.14 billion by 2016. Much of this cost arises from the serious long-term complications associated with the disease including: coronary heart disease, stroke, adult blindness, limb amputations and kidney disease.
Type 2 diabetes accounts for 90–95% of diabetes and while type 2 diabetes is more prevalent in people aged 40 years and older, prevalence in younger populations is increasing due to a rise in obesity and physical inactivity in children.
Data from the United Kingdom Prospective Diabetes Study (UKPDS) has shown that tight glycemic control can significantly reduce the risk of developing serious complications in type 2 diabetics. Despite physicians’ and patients’ knowledge of the importance of glycemic control, Canadian data has shown that only 38% of patients with diabetes have HbA1C levels in the optimal range of 7% or less. This statistic highlights the complexities involved in the management of diabetes, which is characterized by extensive patient involvement in addition to the support provided by physicians. An enormous demand is, therefore, placed on patients to self-manage the physical, emotional and psychological aspects of living with a chronic illness.
Despite differences in individual needs to cope with diabetes, there is general agreement for the necessity of supportive programs for patient self-management. While traditional programs were didactic models with the goal of improving patients’ knowledge of their disease, current models focus on behavioural approaches aimed at providing patients with the skills and strategies required to promote and change their behaviour.
Several meta-analyses and systematic reviews have demonstrated improved health outcomes with self-management support programs in type 2 diabetics. They have all, however, either looked at a specific component of self-management support programs (i.e. self-management education) or have been conducted in specific populations. Most reviews are also qualitative and do not clearly define the interventions of interest, making findings difficult to interpret. Moreover, heterogeneity in the interventions has led to conflicting evidence on the components of effective programs. There is thus much uncertainty regarding the optimal design and delivery of these programs by policymakers.
Evidence-Based Analysis of Effectiveness
Research Questions
Are behavioural interventions effective in improving glycemic control in adults with type 2 diabetes?
Is the effectiveness of the intervention impacted by intervention characteristics (e.g. delivery of intervention, length of intervention, mode of instruction, interventionist etc.)?
Inclusion Criteria
English Language
Published between January 1996 to August 2008
Type 2 diabetic adult population (>18 years)
Randomized controlled trials (RCTs)
Systematic reviews, or meta-analyses
Describing a multi-faceted self-management support intervention as defined by the 2007 Self-Management Mapping Guide (1)
Reporting outcomes of glycemic control (HbA1c) with extractable data
Studies with a minimum of 6-month follow up
Exclusion Criteria
Studies with a control group other than usual care
Studies with a sample size <30
Studies without a clearly defined intervention
Outcomes of Interest
Primary outcome: glycemic control (HbA1c)
Secondary outcomes: systolic blood pressure (SBP) control, lipid control, change in smoking status, weight change, quality of life, knowledge, self-efficacy, managing psychosocial aspects of diabetes, assessing dissatisfaction and readiness to change, and setting and achieving diabetes goals.
Search Strategy
A search was performed in OVID MEDLINE, MEDLINE In-Process and Other Non-Indexed Citations, EMBASE, the Cumulative Index to Nursing & Allied Health Literature (CINAHL), The Cochrane Library, and the International Agency for Health Technology Assessment (INAHTA) for studies published between January 1996 and August 2008. Abstracts were reviewed by a single author and studies meeting the inclusion criteria outlined above were obtained. Data on population characteristics, glycemic control outcomes, and study design were extracted. Reference lists were also checked for relevant studies. The quality of the evidence was assessed as being either high, moderate, low, or very low according to the GRADE methodology.
Summary of Findings
The search identified 638 citations published between 1996 and August 2008, of which 12 met the inclusion criteria and one was a meta-analysis (Gary et al. 2003). The remaining 11 studies were RCTs (9 were used in the meta-analysis) and only one was defined as small (total sample size N=47).
Summary of Participant Demographics across studies
A total of 2,549 participants were included in the 11 identified studies. The mean age of participants reported was approximately 58 years and the mean duration of diabetes was approximately 6 years. Most studies reported gender with a mean percentage of females of approximately 67%. Of the eleven studies, two focused only on women and four included only Hispanic individuals. All studies evaluated type 2 diabetes patients exclusively.
Study Characteristics
The studies were conducted between 2002 and 2008. Approximately six of 11 studies were carried out within the USA, with the remaining studies conducted in the UK, Sweden, and Israel (sample size ranged from 47 to 824 participants). The quality of the studies ranged from moderate to low with four of the studies being of moderate quality and the remaining seven of low quality (based on the Consort Checklist). Differences in quality were mainly due to methodological issues such as inadequate description of randomization, sample size calculation allocation concealment, blinding and uncertainty of the use of intention-to-treat (ITT) analysis. Patients were recruited from several settings: six studies from primary or general medical practices, three studies from the community (e.g. via advertisements), and two from outpatient diabetes clinics. A usual care control group was reported in nine of 11 of the studies and two studies reported some type of minimal diabetes care in addition to usual care for the control group.
Intervention Characteristics
All of the interventions examined in the studies were mapped to the 2007 Self-management Mapping Guide. The interventions most often focused on problem solving, goal setting and encouraging participants to engage in activities that protect and promote health (e.g. modifying behaviour, change in diet, and increase physical activity). All of the studies examined comprehensive interventions targeted at least two self-care topics (e.g. diet, physical activity, blood glucose monitoring, foot care, etc.). Despite the homogeneity in the aims of the interventions, there was substantial clinical heterogeneity in other intervention characteristics such as duration, intensity, setting, mode of delivery (group vs. individual), interventionist, and outcomes of interest (discussed below).
Duration, Intensity and Mode of Delivery
Intervention durations ranged from 2 days to 1 year, with many falling into the range of 6 to 10 weeks. The rest of the interventions fell into categories of ≤ 2 weeks (2 studies), 6 months (2 studies), or 1 year (3 studies). Intensity of the interventions varied widely from 6 hours over 2 days, to 52 hours over 1 year; however, the majority consisted of interventions of 6 to 15 hours. Both individual and group sessions were used to deliver interventions. Group counselling was used in five studies as a mode of instruction, three studies used both individual and group sessions, and one study used individual sessions as its sole mode of instruction. Three studies also incorporated the use of telephone support as part of the intervention.
Interventionists and Setting
The following interventionists were reported (highest to lowest percentage, categories not mutually exclusive): nurse (36%), dietician (18%), physician (9%), pharmacist (9%), peer leader/community worker (18%), and other (36%). The ‘other’ category included interventionists such as consultants and facilitators with unspecified professional backgrounds. The setting of most interventions was community-based (seven studies), followed by primary care practices (three studies). One study described an intervention conducted in a pharmacy setting.
Duration of follow up of the studies ranged from 6 months to 8 years with a median follow-up duration of 12 months. Nine studies followed up patients at a minimum of two time points. Despite clear reporting of outcomes at follow up time points, there was poor reporting on whether the follow up was measured from participant entry into study or from end of intervention. All studies reported measures of glycemic control, specifically HbA1c levels. BMI was measured in five studies, while body weight was reported in two studies. Cholesterol was examined in three studies and blood pressure reduction in two. Smoking status was only examined in one of the studies. Additional outcomes examined in the trials included patient satisfaction, quality of life, diabetes knowledge, diabetes medication reduction, and behaviour modification (i.e. daily consumption of fruits/vegetables, exercise etc). Meta-analysis of the studies identified a moderate but significant reduction in HbA1c levels -0.44% 95%CI: -0.60, -0.29) for behavioural interventions in comparison to usual care for adults with type 2 diabetes. Subgroup analyses suggested the largest effects in interventions which were of at least duration and interventions in diabetics with higher baseline HbA1c (≥9.0). The quality of the evidence according to GRADE for the overall estimate was moderate and the quality of evidence for the subgroup analyses was identified as low.
Summary of Meta-Analysis of Studies Investigating the Effectiveness of Behavioural Interventions on HbA1c in Patients with Type 2 Diabetes.
Based on one study
Based on moderate quality evidence, behavioural interventions as defined by the 2007 Self-management mapping guide (Government of Victoria, Australia) produce a moderate reduction in HbA1c levels in patients with type 2 diabetes compared with usual care.
Based on low quality evidence, the interventions with the largest effects are those:
- in diabetics with higher baseline HbA1c (≥9.0)
- in which the interventions were of at least 1 year in duration
PMCID: PMC3377516  PMID: 23074526
22.  Is there any role for community involvement in the community-based health planning and services skilled delivery program in rural Ghana? 
In Ghana, between 1,400 and 3,900 women and girls die annually due to pregnancy related complications and an estimated two-thirds of these deaths occur in late pregnancy through to 48 hours after delivery. The Ghana Health Service piloted a strategy that involved training Community Health Officers (CHOs) as midwives to address the gap in skilled attendance in rural Upper East Region (UER). CHO-midwives collaborated with community members to provide skilled delivery services in rural areas. This paper presents findings from a study designed to assess the extent to which community residents and leaders participated in the skilled delivery program and the specific roles they played in its implementation and effectiveness.
We employed an intrinsic case study design with a qualitative methodology. We conducted 29 in-depth interviews with health professionals and community stakeholders. We used a random sampling technique to select the CHO-midwives in three Community-based Health Planning and Services (CHPS) zones for the interviews and a purposive sampling technique to identify and interview District Directors of Health Services from the three districts, the Regional Coordinator of the CHPS program and community stakeholders.
Community members play a significant role in promoting skilled delivery care in CHPS zones in Ghana. We found that community health volunteers and traditional birth attendants (TBAs) helped to provide health education on skilled delivery care, and they also referred or accompanied their clients for skilled attendants at birth. The political authorities, traditional leaders, and community members provide resources to promote the skilled delivery program. Both volunteers and TBAs are given financial and non-financial incentives for referring their clients for skilled delivery. However, inadequate transportation, infrequent supply of drugs, attitude of nurses remains as challenges, hindering women accessing maternity services in rural areas.
Mutual collaboration and engagement is possible between health professionals and community members for the skilled delivery program. Community leaders, traditional and political leaders, volunteers, and TBAs have all been instrumental to the success of the CHPS program in the UER, each in their unique way. However, there are problems confronting the program and we have provided recommendations to address these challenges.
PMCID: PMC4251607  PMID: 25113017
Community-based service delivery; Ghana; Skilled birth attendance; Community participation; Community health workers
23.  Empowering Peer Group Leaders for HIV Prevention in Malawi 
Behavioral change interventions using peer group leaders are effective and widely used, but few studies have examined how being a peer group leader affects the leaders. This study describes how participants felt being a peer group leader affected their lives.
This descriptive qualitative study interviewed 18 experienced peer group leaders who had conducted a multisession human immunodeficiency virus (HIV) prevention peer group intervention in rural Malawi.
We used inductive content analysis and comparisons within and between cases. Findings: Three major themes were identified. All leaders said they experienced personal changes in their knowledge, attitudes, or HIV prevention behaviors. They described interacting with family, neighbors, and friends, and speaking at church or community meetings, to discuss HIV prevention issues. They increased their self-efficacy to engage others in sensitive HIV prevention issues, developed a self-identity as a change agent, and came to be recognized in their community as trustworthy advisors about HIV and acquired immunodeficiency syndrome. These three themes, taken together, form the meta-theme of psychological empowerment.
Being a peer group leader empowered the leaders as change agents for HIV prevention and had impacts in the community after the intervention ended, potentially increasing the long-term effectiveness and cost effectiveness of peer group interventions.
Clinical Relevance
Healthcare workers and community volunteers who led HIV prevention sessions continued HIV prevention activities in the community and workplace after the program ended. Training health workers as volunteer HIV prevention leaders offers a strategy to bring HIV prevention to limited-resource settings, despite health worker shortages.
PMCID: PMC3770756  PMID: 23590557
Community-public health-environmental health; primary health care; HIV/AIDS; international health or global health; qualitative methodology
24.  The Use of Competency Models to Assess Leadership in Nursing 
Iranian Journal of Public Health  2013;42(9):988-995.
The efficiency of the health care system is significantly dependent on the appropriate leadership and guidance of employees. One of the most frequently used new approaches in human resources management is the study of competencies and competency models. The aim of this research is to develop a competency model for leaders in nursing, and to compare it with the leadership competency model for state administration.
A survey was conducted among 141 nurse leaders in Slovenia. The respondents were asked to complete questionnaire with 95 leadership behaviours that form the leadership competency model for leaders in nursing. The data were analysed by ANOVA and Tukey’s honestly significant differences test.
The levels of competencies set for themselves by leaders at the third leadership level in nursing (leaders of small units and teams) are significantly lower than those set by all other leaders, both in nursing and in state administration. Statistically significant differences were apparent in the majority of areas.
Within the context of the comparison of competency models, the greatest need for training can be observed at the third level of leadership in nursing. A comparison of models formulated in this way enables the exchange of good practices among leaders from various professional groups and easier identification of the training needs of individual groups of leaders in public administration. The proposed concept is designed to significantly simplify and unify the building of competency-based leadership models in public sector.
PMCID: PMC4453892  PMID: 26060659
Nursing; Leaders; Public health; Competency models; Slovenia
25.  Social networks and implementation of evidence-based practices in public youth-serving systems: a mixed-methods study 
The present study examines the structure and operation of social networks of information and advice and their role in making decisions as to whether to adopt new evidence-based practices (EBPs) among agency directors and other program professionals in 12 California counties participating in a large randomized controlled trial.
Interviews were conducted with 38 directors, assistant directors, and program managers of county probation, mental health, and child welfare departments. Grounded-theory analytic methods were used to identify themes related to EBP adoption and network influences. A web-based survey collected additional quantitative information on members of information and advice networks of study participants. A mixed-methods approach to data analysis was used to create a sociometric data set (n = 176) for examination of associations between advice seeking and network structure.
Systems leaders develop and maintain networks of information and advice based on roles, responsibility, geography, and friendship ties. Networks expose leaders to information about EBPs and opportunities to adopt EBPs; they also influence decisions to adopt EBPs. Individuals in counties at the same stage of implementation accounted for 83% of all network ties. Networks in counties that decided not to implement a specific EBP had no extra-county ties. Implementation of EBPs at the two-year follow-up was associated with the size of county, urban versus rural counties, and in-degree centrality. Collaboration was viewed as critical to implementing EBPs, especially in small, rural counties where agencies have limited resources on their own.
Successful implementation of EBPs requires consideration and utilization of existing social networks of high-status systems leaders that often cut across service organizations and their geographic jurisdictions.
Trial Registration
PMCID: PMC3216853  PMID: 21958674

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