PMCC PMCC

Search tips
Search criteria

Advanced

Important Notice

PubMed Central Canada to be taken offline in February 2018

On February 23, 2018, PubMed Central Canada (PMC Canada) will be taken offline permanently. No author manuscripts will be deleted, and the approximately 2,900 manuscripts authored by Canadian Institutes of Health Research (CIHR)-funded researchers currently in the archive will be copied to the National Research Council’s (NRC) Digital Repository over the coming months. These manuscripts along with all other content will also remain publicly searchable on PubMed Central (US) and Europe PubMed Central, meaning such manuscripts will continue to be compliant with the Tri-Agency Open Access Policy on Publications.

Read more

Results 1-25 (41)
 

Clipboard (0)
None

Select a Filter Below

Year of Publication
1.  Proceedings of the 14th annual conference of INEBRIA 
Holloway, Aisha S. | Ferguson, Jennifer | Landale, Sarah | Cariola, Laura | Newbury-Birch, Dorothy | Flynn, Amy | Knight, John R. | Sherritt, Lon | Harris, Sion K. | O’Donnell, Amy J. | Kaner, Eileen | Hanratty, Barbara | Loree, Amy M. | Yonkers, Kimberly A. | Ondersma, Steven J. | Gilstead-Hayden, Kate | Martino, Steve | Adam, Angeline | Schwartz, Robert P. | Wu, Li-Tzy | Subramaniam, Geetha | Sharma, Gaurav | McNeely, Jennifer | Berman, Anne H. | Kolaas, Karoline | Petersén, Elisabeth | Bendtsen, Preben | Hedman, Erik | Linderoth, Catharina | Müssener, Ulrika | Sinadinovic, Kristina | Spak, Fredrik | Gremyr, Ida | Thurang, Anna | Mitchell, Ann M. | Finnell, Deborah | Savage, Christine L. | Mahmoud, Khadejah F. | Riordan, Benjamin C. | Conner, Tamlin S. | Flett, Jayde A. M. | Scarf, Damian | McRee, Bonnie | Vendetti, Janice | Gallucci, Karen Steinberg | Robaina, Kate | Clark, Brendan J. | Jones, Jacqueline | Reed, Kathryne D. | Hodapp, Rachel M. | Douglas, Ivor | Burnham, Ellen L. | Aagaard, Laura | Cook, Paul F. | Harris, Brett R. | Yu, Jiang | Wolff, Margaret | Rogers, Meighan | Barbosa, Carolina | Wedehase, Brendan J. | Dunlap, Laura J. | Mitchell, Shannon G. | Dusek, Kristi A. | Gryczynski, Jan | Kirk, Arethusa S. | Oros, Marla T. | Hosler, Colleen | O’Grady, Kevin E. | Brown, Barry S. | Angus, Colin | Sherborne, Sidney | Gillespie, Duncan | Meier, Petra | Brennan, Alan | de Vargas, Divane | Soares, Janaina | Castelblanco, Donna | Doran, Kelly M. | Wittman, Ian | Shelley, Donna | Rotrosen, John | Gelberg, Lillian | Edelman, E. Jennifer | Maisto, Stephen A. | Hansen, Nathan B. | Cutter, Christopher J. | Deng, Yanhong | Dziura, James | Fiellin, Lynn E. | O’Connor, Patrick G. | Bedimo, Roger | Gibert, Cynthia | Marconi, Vincent C. | Rimland, David | Rodriguez-Barradas, Maria C. | Simberkoff, Michael S. | Justice, Amy C. | Bryant, Kendall J. | Fiellin, David A. | Giles, Emma L. | Coulton, Simon | Deluca, Paolo | Drummond, Colin | Howel, Denise | McColl, Elaine | McGovern, Ruth | Scott, Stephanie | Stamp, Elaine | Sumnall, Harry | Vale, Luke | Alabani, Viviana | Atkinson, Amanda | Boniface, Sadie | Frankham, Jo | Gilvarry, Eilish | Hendrie, Nadine | Howe, Nicola | McGeechan, Grant J. | Ramsey, Amy | Stanley, Grant | Clephane, Justine | Gardiner, David | Holmes, John | Martin, Neil | Shevills, Colin | Soutar, Melanie | Chi, Felicia W. | Weisner, Constance | Ross, Thekla B. | Mertens, Jennifer | Sterling, Stacy A. | Shorter, Gillian W. | Heather, Nick | Bray, Jeremy | Cohen, Hildie A. | McPherson, Tracy L. | Adam, Cyrille | López-Pelayo, Hugo | Gual, Antoni | Segura-Garcia, Lidia | Colom, Joan | Ornelas, India J. | Doyle, Suzanne | Donovan, Dennis | Duran, Bonnie | Torres, Vanessa | Gaume, Jacques | Grazioli, Véronique | Fortini, Cristiana | Paroz, Sophie | Bertholet, Nicolas | Daeppen, Jean-Bernard | Satterfield, Jason M. | Gregorich, Steven | Alvarado, Nicholas J. | Muñoz, Ricardo | Kulieva, Gozel | Vijayaraghavan, Maya | Adam, Angéline | Cunningham, John A. | Díaz, Estela | Palacio-Vieira, Jorge | Godinho, Alexandra | Kushir, Vladyslav | O’Brien, Kimberly H. M. | Aguinaldo, Laika D. | Sellers, Christina M. | Spirito, Anthony | Chang, Grace | Blake-Lamb, Tiffany | LaFave, Lea R. Ayers | Thies, Kathleen M. | Pepin, Amy L. | Sprangers, Kara E. | Bradley, Martha | Jorgensen, Shasta | Catano, Nico A. | Murray, Adelaide R. | Schachter, Deborah | Andersen, Ronald M. | Rey, Guillermina Natera | Vahidi, Mani | Rico, Melvin W. | Baumeister, Sebastian E. | Johansson, Magnus | Sinadinovic, Christina | Hermansson, Ulric | Andreasson, Sven | O’Grady, Megan A. | Kapoor, Sandeep | Akkari, Cherine | Bernal, Camila | Pappacena, Kristen | Morley, Jeanne | Auerbach, Mark | Neighbors, Charles J. | Kwon, Nancy | Conigliaro, Joseph | Morgenstern, Jon | Magill, Molly | Apodaca, Timothy R. | Borsari, Brian | Hoadley, Ariel | Scott Tonigan, J. | Moyers, Theresa | Fitzgerald, Niamh M. | Schölin, Lisa | Barticevic, Nicolas | Zuzulich, Soledad | Poblete, Fernando | Norambuena, Pablo | Sacco, Paul | Ting, Laura | Beaulieu, Michele | Wallace, Paul George | Andrews, Matthew | Daley, Kate | Shenker, Don | Gallagher, Louise | Watson, Rod | Weaver, Tim | Bruguera, Pol | Oliveras, Clara | Gavotti, Carolina | Barrio, Pablo | Braddick, Fleur | Miquel, Laia | Suárez, Montse | Bruguera, Carla | Brown, Richard L. | Capell, Julie Whelan | Paul Moberg, D. | Maslowsky, Julie | Saunders, Laura A. | McCormack, Ryan P. | Scheidell, Joy | Gonzalez, Mirelis | Bauroth, Sabrina | Liu, Weiwei | Lindsay, Dawn L. | Lincoln, Piper | Hagle, Holly | Wallhed Finn, Sara | Hammarberg, Anders | Andréasson, Sven | King, Sarah E. | Vargo, Rachael | Kameg, Brayden N. | Acquavita, Shauna P. | Van Loon, Ruth Anne | Smith, Rachel | Brehm, Bonnie J. | Diers, Tiffiny | Kim, Karissa | Barker, Andrea | Jones, Ashley L. | Skinner, Asheley C. | Hinman, Agatha | Svikis, Dace S. | Thacker, Casey L. | Resnicow, Ken | Beatty, Jessica R. | Janisse, James | Puder, Karoline | Bakshi, Ann-Sofie | Milward, Joanna M. | Kimergard, Andreas | Garnett, Claire V. | Crane, David | Brown, Jamie | West, Robert | Michie, Susan | Rosendahl, Ingvar | Andersson, Claes | Gajecki, Mikael | Blankers, Matthijs | Donoghue, Kim | Lynch, Ellen | Maconochie, Ian | Phillips, Ceri | Pockett, Rhys | Phillips, Tom | Patton, R. | Russell, Ian | Strang, John | Stewart, Maureen T. | Quinn, Amity E. | Brolin, Mary | Evans, Brooke | Horgan, Constance M. | Liu, Junqing | McCree, Fern | Kanovsky, Doug | Oberlander, Tyler | Zhang, Huan | Hamlin, Ben | Saunders, Robert | Barton, Mary B. | Scholle, Sarah H. | Santora, Patricia | Bhatt, Chirag | Ahmed, Kazi | Hodgkin, Dominic | Gao, Wenwu | Merrick, Elizabeth L. | Drebing, Charles E. | Larson, Mary Jo | Sharma, Monica | Petry, Nancy M. | Saitz, Richard | Weisner, Constance M. | Young-Wolff, Kelly C. | Lu, Wendy Y. | Blosnich, John R. | Lehavot, Keren | Glass, Joseph E. | Williams, Emily C. | Bensley, Kara M. | Chan, Gary | Dombrowski, Julie | Fortney, John | Rubinsky, Anna D. | Lapham, Gwen T. | Forray, Ariadna | Olmstead, Todd A. | Gilstad-Hayden, Kathryn | Kershaw, Trace | Dillon, Pamela | Weaver, Michael F. | Grekin, Emily R. | Ellis, Jennifer D. | McGoron, Lucy | McGoron, Lucy
doi:10.1186/s13722-017-0087-8
PMCID: PMC5606215
3.  Immediate vs. delayed computerized brief intervention for illicit drug misuse 
Journal of addiction medicine  2016;10(5):344-351.
Objective
Computerized brief interventions are a promising approach for integrating substance use interventions into primary care settings. We sought to examine the effectiveness of a computerized brief intervention for illicit drug misuse, which prior research showed performed no worse than a traditional in-person brief intervention.
Methods
Community health center patients were screened for eligibility using the World Health Organization Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). Participants were adult patients (ages 18-62; 53% female) with moderate-risk illicit drug use (N=80), randomized to receive the computerized brief intervention either immediately, or at their 3-month follow-up. Assessments were conducted at baseline, 3-, and 6-month follow-up, and included the ASSIST and drug hair testing.
Results
Most participants in the sample (90%) reported moderate-risk marijuana use. Although the sample as a whole reported significant decreases in ASSIST Global Drug Risk scores and ASSIST marijuana-specific scores, no significant differences were detected between Immediate and Delayed conditions on either of these measures. Likewise, no significant differences were detected between conditions in drug-positive hair test results at either follow-up.
Conclusions
This study did not find differences between immediate vs. delayed computerized brief intervention in reducing drug use or associated risks, suggesting potential regression to the mean or reactivity to the consent, screening, or assessment process. The findings are discussed in light of the study's limitations and directions for future research.
doi:10.1097/ADM.0000000000000248
PMCID: PMC5042843  PMID: 27504925
brief intervention; computerized brief intervention; marijuana; primary care
4.  Process evaluation of a technology-delivered screening and brief intervention for substance use in primary care 
Psychotherapy process research examines the content of treatment sessions and their association with outcomes in an attempt to better understand the interactions between therapists and clients, and to elucidate mechanisms of behavior change. A similar approach is possible in technology-delivered interventions, which have an interaction process that is always perfectly preserved and rigorously definable. The present study sought to examine the process of participants’ interactions with a computer-delivered brief intervention for drug use, from a study comparing computer- and therapist-delivered brief interventions among adults at two primary health care centers in New Mexico. Specifically, we sought to describe the pattern of participants’ (N=178) choices and reactions throughout the computer-delivered brief intervention, and to examine associations between that process and intervention response at 3-month follow-up. Participants were most likely to choose marijuana as the first substance they wished to discuss (n = 114, 64.0%). Most participants indicated that they had not experienced any problems as a result of their drug use (n = 108, 60.7%), but nearly a third of these (n = 32, 29.6%) nevertheless indicated a desire to stop or reduce its use; participants who did report negative consequences were most likely to endorse financial or relationship concerns. However, participant ratings of the importance of change or of the helpfulness of personalized normed feedback were unrelated to changes in substance use frequency. Design of future e-interventions should consider emphasizing possible benefits of quitting rather than the negative consequences of drug use, and—when addressing consequences—should consider focusing on the impacts of substance use on relationship and financial aspects. These findings are an early but important step toward using process evaluation to optimize e-intervention content.
doi:10.1016/j.invent.2016.01.004
PMCID: PMC4836054  PMID: 27110494
e-Health; brief intervention; substance abuse; process research; adults
5.  Two models of integrating buprenorphine treatment and medical staff within formerly “drug-free” outpatient programs 
Journal of psychoactive drugs  2016;48(2):101-108.
“Drug-free” outpatient programs deliver treatment to the largest number of patients of all treatment modalities in the US, providing a significant opportunity to expand access to medication treatments for substance use disorders. This analysis examined staff perceptions of organizational dynamics associated with the delivery of buprenorphine maintenance within three formerly “drug-free” outpatient treatment programs. Semi-structured interviews (N=15) were conducted with counseling and medical staff, and respondents were predominantly African American (n=11) and female (n=12). Themes and concepts related to medical staff integration emerged through an inductive and iterative coding process using Atlas.ti qualitative analysis software. Two treatment clinics incorporated buprenorphine maintenance into their programs using a co-located model of care. Their staff generally reported greater intra-organizational discord regarding the best ways to combine medication and counseling compared to the clinic using an integrated model of care. Co-located program staff reported less communication between medical and clinical staff, which contributed to some uncertainty about proper dosing and concerns about the potential for medication diversion. Clinics that shift from “drug-free” to incorporating buprenorphine maintenance should consider which model of care they wish to adapt and how to train staff and structure staff communication.
doi:10.1080/02791072.2015.1130884
PMCID: PMC4956482  PMID: 26940870
buprenorphine; outpatient treatment; treatment staff; team care model; integration
6.  Understanding Patterns Of High-Cost Health Care Use Across Different Substance User Groups 
Health affairs (Project Hope)  2016;35(1):12-19.
Substance use contributes to significant societal burdens, including high-cost health care use. However, these burdens may vary by type of substance and level of involvement. Using the 2009–13 National Surveys on Drug Use and Health, we examined all-cause hospitalizations and estimated costs across substance use profiles for alcohol, marijuana, and other illicit drugs. For each substance, we characterized differences between abstainers, nondiagnostic users (people who used the substance but did not meet diagnostic criteria for substance use disorder), and people with substance use disorders. In a multivariate analysis, we found that the odds of hospitalization were 16 percent lower for nondiagnostic marijuana users and 11 percent lower for nondiagnostic alcohol users, compared to abstainers. Neither alcohol- nor marijuana-specific substance use disorders were associated with hospitalization. In contrast, substance use disorders for other illicit drugs were strongly associated with hospitalization: People with those disorders had 2.2 times higher odds of hospitalization relative to abstainers. A more detailed understanding of health care use in different substance user groups could inform the ongoing expansion of substance use services in the United States.
doi:10.1377/hlthaff.2015.0618
PMCID: PMC4936480  PMID: 26733696
7.  SBIRT Implementation for Adolescents in Urban Federally Qualified Health Centers 
Background
Alcohol, tobacco, and other drug use remains highly prevalent among US adolescents and is a threat to their well-being and to the public health. Clinical trials and meta-analyses evidence supports the effectiveness of Screening, Brief Intervention and Referral to Treatment (SBIRT) for adolescents with substance misuse but primary care providers have been slow to adopt this evidence-based approach. The purpose of this paper is to describe the theoretically informed methodology of an on-going implementation study.
Methods
This study protocol is a multi-site, cluster randomized trial (N = 7) guided by Proctor’s conceptual model of implementation research and comparing two principal approaches to SBIRT delivery within adolescent medicine: Generalist vs. Specialist. In the Generalist Approach, the primary care provider delivers brief intervention (BI) for substance misuse. In the Specialist Approach, BIs are delivered by behavioral health counselors. The study will also examine the effectiveness of integrating HIV risk screening within an SBIRT model. Implementation Strategies employed include: integrated team development of the service delivery model, modifications to the electronic medical record, regular performance feedback and supervision. Implementation outcomes, include: Acceptability, Appropriateness, Adoption, Feasibility, Fidelity, Costs/Cost-Effectiveness, Penetration, and Sustainability.
Discussion
The study will fill a major gap in scientific knowledge regarding the best SBIRT implementation strategy at a time when SBIRT is poised to be brought to scale under health care reform. It will also provide novel data to inform the expansion of the SBIRT model to address HIV risk behaviors among adolescents. Finally, the study will generate important cost data that offers guidance to policymakers and clinic directors about the adoption of SBIRT in adolescent health care.
doi:10.1016/j.jsat.2015.06.011
PMCID: PMC4548813  PMID: 26297321
implementation; brief intervention; SBIRT; primary care; adolescents
8.  Reference periods in retrospective behavioral self-report: A qualitative investigation 
Background
Self-report questions in substance use research and clinical screening often ask individuals to reflect on behaviors, symptoms, or events over a specified time period. However, there are different ways of phrasing conceptually similar time frames (e.g., past year vs. past 12 months).
Methods
We conducted focused, abbreviated cognitive interviews with a sample of community health center patients (N=50) to learn how they perceived and interpreted questions with alternative phrasing of similar time frames (past year vs. past 12 months; past month vs. past 30 days; past week vs. past 7 days).
Results
Most participants perceived the alternative time frames as identical. However, 28% suggested that the “past year” and “past 12 months” phrasings would elicit different responses by evoking distinct time periods and/or calling for different levels of recall precision. Different start and end dates for “past year” and “past 12 months” were reported by 20% of the sample. There were fewer discrepancies for shorter time frames.
Conclusions
Use of “past 12 months” rather than “past year” as a time frame in self-report questions could yield more precise responses for a substantial minority of adult respondents.
Scientific Significance
Subtle differences in wording of conceptually similar time frames can affect the interpretation of self-report questions and the precision of responses.
doi:10.1111/ajad.12305
PMCID: PMC4902154  PMID: 26541893
9.  Buprenorphine treatment and 12-step meeting attendance: Conflicts, compatibilities, and patient outcomes 
This analysis examines patient experiences and outcomes with 12-step recovery group attendance during buprenorphine maintenance treatment (BMT), two approaches with traditionally divergent philosophies regarding opioid medications for treatment of opioid use disorder. Using quantitative (n=300) and qualitative (n=20) data collected during a randomized trial of counseling services in buprenorphine treatment, this mixed-methods analysis of African Americans in BMT finds the number of NA meetings attended in the prior 6 months was associated with a higher rate of retention in BMT (p<.001) and heroin/cocaine abstinence at 6 month follow-up (p=.005). However, patients whose counselors required them to attend 12-step meetings did not have better outcomes than patients not required to attend such meetings. Qualitative narratives highlighted patients’ strategies for managing dissonant viewpoints on BMT and disclosing BMT status in community 12-step meetings. Twelve-step meeting attendance is associated with better outcomes for BMT patients over the first 6 months of treatment. However, there is no benefit to requiring meeting attendance as a condition of treatment, and clinicians should be aware of potential philosophical conflicts between 12-step and BMT approaches.
doi:10.1016/j.jsat.2015.05.005
PMCID: PMC4560966  PMID: 25986647
Buprenorphine; 12-step; Narcotics Anonymous; Opioid Dependence
10.  Prior experience with non-prescribed buprenorphine: Role in treatment entry and retention 
Buprenorphine availability continues to expand as an effective treatment for opioid dependence, but increases in availability have also been accompanied by increases in non-prescribed use of the medication. Utilizing data from a randomized clinical trial, this mixed-method study examines associations between use of non-prescribed buprenorphine and subsequent treatment entry and retention. Quantitative analyses (N=300 African American buprenorphine patients) found that patients with prior use of non-prescribed buprenorphine had significantly higher odds of remaining in treatment through 6 months than patients who were naïve to the medication upon treatment entry. Qualitative data, collected from a subsample of participants (n=20), identified three thematic explanations for this phenomenon: 1) perceived effectiveness of the medication; 2) cost of obtaining prescription buprenorphine compared to purchasing non-prescribed medication; and 3) convenience of obtaining the medication via daily-dosing or by prescription compared to non-prescribed buprenorphine. These findings suggest a dynamic relationship between non-prescribed buprenorphine use and treatment that indicates potential directions for future research into positive and negative consequences of buprenorphine diversion.
doi:10.1016/j.jsat.2015.04.010
PMCID: PMC4561018  PMID: 25980599
Buprenorphine; Buprenorphine diversion; Treatment retention; Opioid dependence
11.  Proceedings of the 13th annual conference of INEBRIA 
Watson, Rod | Morris, James | Isitt, John | Barrio, Pablo | Ortega, Lluisa | Gual, Antoni | Conner, Kenneth | Stecker, Tracy | Maisto, Stephen | Paroz, Sophie | Graap, Caroline | Grazioli, Véronique S | Daeppen, Jean-Bernard | Collins, Susan E | Bertholet, Nicolas | McNeely, Jennifer | Kushnir, Vlad | Cunningham, John A. | Crombie, Iain K | Cunningham, Kathryn B | Irvine, Linda | Williams, Brian | Sniehotta, Falko F | Norrie, John | Melson, Ambrose | Jones, Claire | Briggs, Andrew | Rice, Peter | Achison, Marcus | McKenzie, Andrew | Dimova, Elena | Slane, Peter W | Grazioli, Véronique S. | Collins, Susan E. | Paroz, Sophie | Graap, Caroline | Daeppen, Jean-Bernard | Baggio, Stéphanie | Dupuis, Marc | Studer, Joseph | Gmel, Gerhard | Magill, Molly | Grazioli, Véronique S. | Tait, Robert J. | Teoh, Lucinda | Kelty, Erin | Geelhoed, Elizabeth | Mountain, David | Hulse, Gary K. | Renko, Elina | Mitchell, Shannon G. | Lounsbury, David | Li, Zhi | Schwartz, Robert P. | Gryczynski, Jan | Kirk, Arethusa S. | Oros, Marla | Hosler, Colleen | Dusek, Kristi | Brown, Barry S. | Finnell, Deborah S. | Holloway, Aisha | Wu, Li-Tzy | Subramaniam, Geetha | Sharma, Gaurav | Wallhed Finn, Sara | Andreasson, Sven | Dvorak, Robert D. | Kramer, Matthew P. | Stevenson, Brittany L. | Sargent, Emily M. | Kilwein, Tess M. | Harris, Sion K. | Sherritt, Lon | Copelas, Sarah | Knight, John R. | Mdege, Noreen D | McCambridge, Jim | Bischof, Gallus | Bischof, Anja | Freyer-Adam, Jennis | Rumpf, Hans-Juergen | Fitzgerald, Niamh | Schölin, Lisa | Toner, Paul | Böhnke, Jan R. | Veach, Laura J. | Currin, Olivia | Dongre, Leigh Z. | Miller, Preston R. | White, Elizabeth | Williams, Emily C. | Lapham, Gwen T. | Bobb, Jennifer J. | Rubinsky, Anna D. | Catz, Sheryl L. | Shortreed, Susan | Bensley, Kara M. | Bradley, Katharine A. | Milward, Joanna | Deluca, Paolo | Khadjesari, Zarnie | Watson, Rod | Fincham-Campbell, Stephanie | Drummond, Colin | Angus, Kathryn | Bauld, Linda | Baumann, Sophie | Haberecht, Katja | Schnuerer, Inga | Meyer, Christian | Rumpf, Hans-Jürgen | John, Ulrich | Gaertner, Beate | Barrault-Couchouron, Marion | Béracochéa, Marion | Allafort, Vincent | Barthélémy, Valérie | Bonnefoi, Hervé | Bussières, Emmanuel | Garguil, Véronique | Auriacombe, Marc | Saint-Jacques, Marianne | Dorval, Michel | M’Bailara, Katia | Segura-Garcia, Lidia | Ibañez-Martinez, Nuria | Mendive-Arbeloa, Juan Manuel | Anoro-Perminger, Manel | Diaz-Gallego, Pako | Piñar-Mateos, Mª Angeles | Colom-Farran, Joan | Deligianni, Marianthi | Yersin, Bertrand | Adam, Angeline | Weisner, Constance | Chi, Felicia | Lu, Wendy | Sterling, Stacy | Kraemer, Kevin L. | McGinnis, Kathleen A. | Fiellin, David A. | Skanderson, Melissa | Gordon, Adam J. | Robbins, Jonathan | Zickmund, Susan | Korthuis, P. Todd | Edelman, E. Jennifer | Hansen, Nathan B. | Cutter, Christopher J. | Dziura, James | Fiellin, Lynn E. | O’Connor, Patrick G. | Maisto, Stephen A. | Bedimo, Roger | Gilbert, Cynthia | Marconi, Vincent C. | Rimland, David | Rodriguez-Barradas, Maria | Simberkoff, Michael | Justice, Amy C. | Bryant, Kendall J. | Berman, Anne H | Shorter, Gillian W | Bray, Jeremy W | Barbosa, Carolina | Johansson, Magnus | Hester, Reid | Campbell, William | Souza Formigoni, Maria Lucia O. | Andrade, André Luzi Monezi | Sartes, Laisa Marcorela Andreoli | Sundström, Christopher | Eék, Niels | Kraepelien, Martin | Kaldo, Viktor | Fahlke, Claudia | Hernandez, Lynn | Becker, Sara J. | Jones, Richard N. | Graves, Hannah R. | Spirito, Anthony | Diestelkamp, Silke | Wartberg, Lutz | Arnaud, Nicolas | Thomasius, Rainer | Gaume, Jacques | Grazioli, Véronique | Fortini, Cristiana | Malan, Zelra | Mash, Bob | Everett-Murphy, Katherine | Grazioli, Véronique S. | Studer, Joseph | Mohler-Kuo, M. | Bertholet, Nicolas | Gmel, Gerhard | Doi, Lawrence | Cheyne, Helen | Jepson, Ruth | Luna, Vanesa | Echeverria, Leticia | Morales, Silvia | Barroso, Teresa | Abreu, Ângela | Aguiar, Cosma | Stewart, Duncan | Abreu, Angela | Brites, Riany M. | Jomar, Rafael | Marinho, Gerson | Parreira, Pedro | Seale, J. Paul | Johnson, J. Aaron | Henry, Dena | Chalmers, Sharon | Payne, Freida | Tuck, Linda | Morris, Akula | Gonçalves, Cátia | Besser, Bettina | Casajuana, Cristina | López-Pelayo, Hugo | Balcells, María Mercedes | Teixidó, Lídia | Miquel, Laia | Colom, Joan | Hepner, Kimberly A. | Hoggatt, Katherine. J. | Bogart, Andy | Paddock, Susan. M. | Hardoon, Sarah L | Petersen, Irene | Hamilton, Fiona L | Nazareth, Irwin | White, Ian R. | Marston, Louise | Wallace, Paul | Godfrey, Christine | Murray, Elizabeth | Sovinová, Hana | Csémy, Ladislav
doi:10.1186/s13722-016-0062-9
PMCID: PMC5032602  PMID: 27654147
12.  Potential radiating effects of misusing substances among medical patients receiving brief intervention 
Background
The societal benefits of substance use interventions are largely driven not by reducing use per se, but by the broader implications of those reductions. This encompasses “potential radiating effects of misusing substances” (PREMiS) such as utilization of high-cost hospital and emergency care, injury, productivity losses, incarceration, and driving while impaired.
Methods
This study is a secondary analysis from a randomized trial comparing in-person vs. computerized brief intervention among 360 adult community health center patients with moderate-risk illicit drug use (N= 302 with complete data through 12 months of follow-up). This study aims to examine four aspects of PREMiS outcomes in this sample: (1) their frequency; and their association with (2) type of brief intervention received (by random assignment), (3) type of drug misused, and (4) baseline drug problem severity (within the moderate risk range).
Results
12-month prevalence was 18.5% for hospitalization (399 cumulative days), 33.1% for emergency department utilization (166 cumulative visits), 39.1% for injury (1818 injury-days), and 8.3% for incarceration (278 days of detention). There were 729 missed work days among those who reported employment. Fifty percent reported driving under the influence (DUI) of substances. There were no differences in PREMiS outcomes by type of brief intervention. Participants with only marijuana misuse at baseline were not at lower risk of experiencing PREMiS events than participants with other drug misuse. Higher baseline drug problem severity was predictive of future hospitalization (p<.05) and number of hospitalization days (p<.01).
Conclusion
This community health center sample with moderate-risk illicit drug use reported considerable high-cost healthcare utilization, injury, missed work, and DUI. Interventions are needed that can reliably lower risk of negative outcomes among drug users.
doi:10.1016/j.jsat.2015.02.003
PMCID: PMC4456200  PMID: 25812927
primary care; brief intervention; drug misuse; Potential Radiating Effects of Misusing Substances (PREMiS); hospitalization; injury; productivity losses
13.  Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation 
Chambers, David | Simpson, Lisa | Hill-Briggs, Felicia | Neta, Gila | Vinson, Cynthia | Chambers, David | Beidas, Rinad | Marcus, Steven | Aarons, Gregory | Hoagwood, Kimberly | Schoenwald, Sonja | Evans, Arthur | Hurford, Matthew | Rubin, Ronnie | Hadley, Trevor | Barg, Frances | Walsh, Lucia | Adams, Danielle | Mandell, David | Martin, Lindsey | Mignogna, Joseph | Mott, Juliette | Hundt, Natalie | Kauth, Michael | Kunik, Mark | Naik, Aanand | Cully, Jeffrey | McGuire, Alan | White, Dominique | Bartholomew, Tom | McGrew, John | Luther, Lauren | Rollins, Angie | Salyers, Michelle | Cooper, Brittany | Funaiole, Angie | Richards, Julie | Lee, Amy | Lapham, Gwen | Caldeiro, Ryan | Lozano, Paula | Gildred, Tory | Achtmeyer, Carol | Ludman, Evette | Addis, Megan | Marx, Larry | Bradley, Katharine | VanDeinse, Tonya | Wilson, Amy Blank | Stacey, Burgin | Powell, Byron | Bunger, Alicia | Cuddeback, Gary | Barnett, Miya | Stadnick, Nicole | Brookman-Frazee, Lauren | Lau, Anna | Dorsey, Shannon | Pullmann, Michael | Mitchell, Shannon | Schwartz, Robert | Kirk, Arethusa | Dusek, Kristi | Oros, Marla | Hosler, Colleen | Gryczynski, Jan | Barbosa, Carolina | Dunlap, Laura | Lounsbury, David | O’Grady, Kevin | Brown, Barry | Damschroder, Laura | Waltz, Thomas | Powell, Byron | Ritchie, Mona | Waltz, Thomas | Atkins, David | Imel, Zac E. | Xiao, Bo | Can, Doğan | Georgiou, Panayiotis | Narayanan, Shrikanth | Berkel, Cady | Gallo, Carlos | Sandler, Irwin | Brown, C. Hendricks | Wolchik, Sharlene | Mauricio, Anne Marie | Gallo, Carlos | Brown, C. Hendricks | Mehrotra, Sanjay | Chandurkar, Dharmendra | Bora, Siddhartha | Das, Arup | Tripathi, Anand | Saggurti, Niranjan | Raj, Anita | Hughes, Eric | Jacobs, Brian | Kirkendall, Eric | Loeb, Danielle | Trinkley, Katy | Yang, Michael | Sprowell, Andrew | Nease, Donald | Lyon, Aaron | Lewis, Cara | Boyd, Meredith | Melvin, Abigail | Nicodimos, Semret | Liu, Freda | Jungbluth, Nathanial | Lyon, Aaron | Lewis, Cara | Boyd, Meredith | Melvin, Abigail | Nicodimos, Semret | Liu, Freda | Jungbluth, Nathanial | Flynn, Allen | Landis-Lewis, Zach | Sales, Anne | Baloh, Jure | Ward, Marcia | Zhu, Xi | Bennett, Ian | Unutzer, Jurgen | Mao, Johnny | Proctor, Enola | Vredevoogd, Mindy | Chan, Ya-Fen | Williams, Nathaniel | Green, Phillip | Bernstein, Steven | Rosner, June-Marie | DeWitt, Michelle | Tetrault, Jeanette | Dziura, James | Hsiao, Allen | Sussman, Scott | O’Connor, Patrick | Toll, Benjamin | Jones, Michael | Gassaway, Julie | Tobin, Jonathan | Zatzick, Douglas | Bradbury, Angela R. | Patrick-Miller, Linda | Egleston, Brian | Olopade, Olufunmilayo I. | Hall, Michael J. | Daly, Mary B. | Fleisher, Linda | Grana, Generosa | Ganschow, Pamela | Fetzer, Dominique | Brandt, Amanda | Farengo-Clark, Dana | Forman, Andrea | Gaber, Rikki S. | Gulden, Cassandra | Horte, Janice | Long, Jessica | Chambers, Rachelle Lorenz | Lucas, Terra | Madaan, Shreshtha | Mattie, Kristin | McKenna, Danielle | Montgomery, Susan | Nielsen, Sarah | Powers, Jacquelyn | Rainey, Kim | Rybak, Christina | Savage, Michelle | Seelaus, Christina | Stoll, Jessica | Stopfer, Jill | Yao, Shirley | Domchek, Susan | Hahn, Erin | Munoz-Plaza, Corrine | Wang, Jianjin | Delgadillo, Jazmine Garcia | Mittman, Brian | Gould, Michael | Liang, Shuting (Lily) | Kegler, Michelle C. | Cotter, Megan | Phillips, Emily | Hermstad, April | Morton, Rentonia | Beasley, Derrick | Martinez, Jeremy | Riehman, Kara | Gustafson, David | Marsch, Lisa | Mares, Louise | Quanbeck, Andrew | McTavish, Fiona | McDowell, Helene | Brown, Randall | Thomas, Chantelle | Glass, Joseph | Isham, Joseph | Shah, Dhavan | Liebschutz, Jane | Lasser, Karen | Watkins, Katherine | Ober, Allison | Hunter, Sarah | Lamp, Karen | Ewing, Brett | Iwelunmor, Juliet | Gyamfi, Joyce | Blackstone, Sarah | Quakyi, Nana Kofi | Plange-Rhule, Jacob | Ogedegbe, Gbenga | Kumar, Pritika | Van Devanter, Nancy | Nguyen, Nam | Nguyen, Linh | Nguyen, Trang | Phuong, Nguyet | Shelley, Donna | Rudge, Sian | Langlois, Etienne | Tricco, Andrea | Ball, Sherry | Lambert-Kerzner, Anne | Sulc, Christine | Simmons, Carol | Shell-Boyd, Jeneen | Oestreich, Taryn | O’Connor, Ashley | Neely, Emily | McCreight, Marina | Labebue, Amy | DiFiore, Doreen | Brostow, Diana | Ho, P. Michael | Aron, David | Harvey, Jillian | McHugh, Megan | Scanlon, Dennis | Lee, Rebecca | Soltero, Erica | Parker, Nathan | McNeill, Lorna | Ledoux, Tracey | McIsaac, Jessie-Lee | MacLeod, Kate | Ata, Nicole | Jarvis, Sherry | Kirk, Sara | Purtle, Jonathan | Dodson, Elizabeth | Brownson, Ross | Mittman, Brian | Curran, Geoffrey | Curran, Geoffrey | Pyne, Jeffrey | Aarons, Gregory | Ehrhart, Mark | Torres, Elisa | Miech, Edward | Miech, Edward | Stevens, Kathleen | Hamilton, Alison | Cohen, Deborah | Padgett, Deborah | Morshed, Alexandra | Patel, Rupa | Prusaczyk, Beth | Aron, David C. | Gupta, Divya | Ball, Sherry | Hand, Rosa | Abram, Jenica | Wolfram, Taylor | Hastings, Molly | Moreland-Russell, Sarah | Tabak, Rachel | Ramsey, Alex | Baumann, Ana | Kryzer, Emily | Montgomery, Katherine | Lewis, Ericka | Padek, Margaret | Powell, Byron | Brownson, Ross | Mamaril, Cezar Brian | Mays, Glen | Branham, Keith | Timsina, Lava | Mays, Glen | Hogg, Rachel | Fagan, Abigail | Shapiro, Valerie | Brown, Eric | Haggerty, Kevin | Hawkins, David | Oesterle, Sabrina | Hawkins, David | Catalano, Richard | McKay, Virginia | Dolcini, M. Margaret | Hoffer, Lee | Moin, Tannaz | Li, Jinnan | Duru, O. Kenrik | Ettner, Susan | Turk, Norman | Chan, Charles | Keckhafer, Abigail | Luchs, Robert | Ho, Sam | Mangione, Carol | Selby, Peter | Zawertailo, Laurie | Minian, Nadia | Balliunas, Dolly | Dragonetti, Rosa | Hussain, Sarwar | Lecce, Julia | Chinman, Matthew | Acosta, Joie | Ebener, Patricia | Malone, Patrick S. | Slaughter, Mary | Freedman, Darcy | Flocke, Susan | Lee, Eunlye | Matlack, Kristen | Trapl, Erika | Ohri-Vachaspati, Punam | Taggart, Morgan | Borawski, Elaine | Parrish, Amanda | Harris, Jeffrey | Kohn, Marlana | Hammerback, Kristen | McMillan, Becca | Hannon, Peggy | Swindle, Taren | Curran, Geoffrey | Whiteside-Mansell, Leanne | Ward, Wendy | Holt, Cheryl | Santos, Sheri Lou | Tagai, Erin | Scheirer, Mary Ann | Carter, Roxanne | Bowie, Janice | Haider, Muhiuddin | Slade, Jimmie | Wang, Min Qi | Masica, Andrew | Ogola, Gerald | Berryman, Candice | Richter, Kathleen | Shelton, Rachel | Jandorf, Lina | Erwin, Deborah | Truong, Khoa | Javier, Joyce R. | Coffey, Dean | Schrager, Sheree M. | Palinkas, Lawrence | Miranda, Jeanne | Johnson, Veda | Hutcherson, Valerie | Ellis, Ruth | Kharmats, Anna | Marshall-King, Sandra | LaPradd, Monica | Fonseca-Becker, Fannie | Kepka, Deanna | Bodson, Julia | Warner, Echo | Fowler, Brynn | Shenkman, Elizabeth | Hogan, William | Odedina, Folakami | De Leon, Jessica | Hooper, Monica | Carrasquillo, Olveen | Reams, Renee | Hurt, Myra | Smith, Steven | Szapocznik, Jose | Nelson, David | Mandal, Prabir | Teufel, James
Implementation Science : IS  2016;11(Suppl 2):100.
Table of contents
A1 Introduction to the 8th Annual Conference on the Science of Dissemination and Implementation: Optimizing Personal and Population Health
David Chambers, Lisa Simpson
D1 Discussion forum: Population health D&I research
Felicia Hill-Briggs
D2 Discussion forum: Global health D&I research
Gila Neta, Cynthia Vinson
D3 Discussion forum: Precision medicine and D&I research
David Chambers
S1 Predictors of community therapists’ use of therapy techniques in a large public mental health system
Rinad Beidas, Steven Marcus, Gregory Aarons, Kimberly Hoagwood, Sonja Schoenwald, Arthur Evans, Matthew Hurford, Ronnie Rubin, Trevor Hadley, Frances Barg, Lucia Walsh, Danielle Adams, David Mandell
S2 Implementing brief cognitive behavioral therapy (CBT) in primary care: Clinicians' experiences from the field
Lindsey Martin, Joseph Mignogna, Juliette Mott, Natalie Hundt, Michael Kauth, Mark Kunik, Aanand Naik, Jeffrey Cully
S3 Clinician competence: Natural variation, factors affecting, and effect on patient outcomes
Alan McGuire, Dominique White, Tom Bartholomew, John McGrew, Lauren Luther, Angie Rollins, Michelle Salyers
S4 Exploring the multifaceted nature of sustainability in community-based prevention: A mixed-method approach
Brittany Cooper, Angie Funaiole
S5 Theory informed behavioral health integration in primary care: Mixed methods evaluation of the implementation of routine depression and alcohol screening and assessment
Julie Richards, Amy Lee, Gwen Lapham, Ryan Caldeiro, Paula Lozano, Tory Gildred, Carol Achtmeyer, Evette Ludman, Megan Addis, Larry Marx, Katharine Bradley
S6 Enhancing the evidence for specialty mental health probation through a hybrid efficacy and implementation study
Tonya VanDeinse, Amy Blank Wilson, Burgin Stacey, Byron Powell, Alicia Bunger, Gary Cuddeback
S7 Personalizing evidence-based child mental health care within a fiscally mandated policy reform
Miya Barnett, Nicole Stadnick, Lauren Brookman-Frazee, Anna Lau
S8 Leveraging an existing resource for technical assistance: Community-based supervisors in public mental health
Shannon Dorsey, Michael Pullmann
S9 SBIRT implementation for adolescents in urban federally qualified health centers: Implementation outcomes
Shannon Mitchell, Robert Schwartz, Arethusa Kirk, Kristi Dusek, Marla Oros, Colleen Hosler, Jan Gryczynski, Carolina Barbosa, Laura Dunlap, David Lounsbury, Kevin O'Grady, Barry Brown
S10 PANEL: Tailoring Implementation Strategies to Context - Expert recommendations for tailoring strategies to context
Laura Damschroder, Thomas Waltz, Byron Powell
S11 PANEL: Tailoring Implementation Strategies to Context - Extreme facilitation: Helping challenged healthcare settings implement complex programs
Mona Ritchie
S12 PANEL: Tailoring Implementation Strategies to Context - Using menu-based choice tasks to obtain expert recommendations for implementing three high-priority practices in the VA
Thomas Waltz
S13 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Siri, rate my therapist: Using technology to automate fidelity ratings of motivational interviewing
David Atkins, Zac E. Imel, Bo Xiao, Doğan Can, Panayiotis Georgiou, Shrikanth Narayanan
S14 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Identifying indicators of implementation quality for computer-based ratings
Cady Berkel, Carlos Gallo, Irwin Sandler, C. Hendricks Brown, Sharlene Wolchik, Anne Marie Mauricio
S15 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Improving implementation of behavioral interventions by monitoring emotion in spoken speech
Carlos Gallo, C. Hendricks Brown, Sanjay Mehrotra
S16 Scorecards and dashboards to assure data quality of health management information system (HMIS) using R
Dharmendra Chandurkar, Siddhartha Bora, Arup Das, Anand Tripathi, Niranjan Saggurti, Anita Raj
S17 A big data approach for discovering and implementing patient safety insights
Eric Hughes, Brian Jacobs, Eric Kirkendall
S18 Improving the efficacy of a depression registry for use in a collaborative care model
Danielle Loeb, Katy Trinkley, Michael Yang, Andrew Sprowell, Donald Nease
S19 Measurement feedback systems as a strategy to support implementation of measurement-based care in behavioral health
Aaron Lyon, Cara Lewis, Meredith Boyd, Abigail Melvin, Semret Nicodimos, Freda Liu, Nathanial Jungbluth
S20 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Common loop assay: Methods of supporting learning collaboratives
Allen Flynn
S21 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Innovating audit and feedback using message tailoring models for learning health systems
Zach Landis-Lewis
S22 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Implementation science and learning health systems: Connecting the dots
Anne Sales
S23 Facilitation activities of Critical Access Hospitals during TeamSTEPPS implementation
Jure Baloh, Marcia Ward, Xi Zhu
S24 Organizational and social context of federally qualified health centers and variation in maternal depression outcomes
Ian Bennett, Jurgen Unutzer, Johnny Mao, Enola Proctor, Mindy Vredevoogd, Ya-Fen Chan, Nathaniel Williams, Phillip Green
S25 Decision support to enhance treatment of hospitalized smokers: A randomized trial
Steven Bernstein, June-Marie Rosner, Michelle DeWitt, Jeanette Tetrault, James Dziura, Allen Hsiao, Scott Sussman, Patrick O’Connor, Benjamin Toll
S26 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - A patient-centered approach to successful community transition after catastrophic injury
Michael Jones, Julie Gassaway
S27 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - Conducting PCOR to integrate mental health and cancer screening services in primary care
Jonathan Tobin
S28 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - A comparative effectiveness trial of optimal patient-centered care for US trauma care systems
Douglas Zatzick
S29 Preferences for in-person communication among patients in a multi-center randomized study of in-person versus telephone communication of genetic test results for cancer susceptibility
Angela R Bradbury, Linda Patrick-Miller, Brian Egleston, Olufunmilayo I Olopade, Michael J Hall, Mary B Daly, Linda Fleisher, Generosa Grana, Pamela Ganschow, Dominique Fetzer, Amanda Brandt, Dana Farengo-Clark, Andrea Forman, Rikki S Gaber, Cassandra Gulden, Janice Horte, Jessica Long, Rachelle Lorenz Chambers, Terra Lucas, Shreshtha Madaan, Kristin Mattie, Danielle McKenna, Susan Montgomery, Sarah Nielsen, Jacquelyn Powers, Kim Rainey, Christina Rybak, Michelle Savage, Christina Seelaus, Jessica Stoll, Jill Stopfer, Shirley Yao and Susan Domchek
S30 Working towards de-implementation: A mixed methods study in breast cancer surveillance care
Erin Hahn, Corrine Munoz-Plaza, Jianjin Wang, Jazmine Garcia Delgadillo, Brian Mittman Michael Gould
S31Integrating evidence-based practices for increasing cancer screenings in safety-net primary care systems: A multiple case study using the consolidated framework for implementation research
Shuting (Lily) Liang, Michelle C. Kegler, Megan Cotter, Emily Phillips, April Hermstad, Rentonia Morton, Derrick Beasley, Jeremy Martinez, Kara Riehman
S32 Observations from implementing an mHealth intervention in an FQHC
David Gustafson, Lisa Marsch, Louise Mares, Andrew Quanbeck, Fiona McTavish, Helene McDowell, Randall Brown, Chantelle Thomas, Joseph Glass, Joseph Isham, Dhavan Shah
S33 A multicomponent intervention to improve primary care provider adherence to chronic opioid therapy guidelines and reduce opioid misuse: A cluster randomized controlled trial protocol
Jane Liebschutz, Karen Lasser
S34 Implementing collaborative care for substance use disorders in primary care: Preliminary findings from the summit study
Katherine Watkins, Allison Ober, Sarah Hunter, Karen Lamp, Brett Ewing
S35 Sustaining a task-shifting strategy for blood pressure control in Ghana: A stakeholder analysis
Juliet Iwelunmor, Joyce Gyamfi, Sarah Blackstone, Nana Kofi Quakyi, Jacob Plange-Rhule, Gbenga Ogedegbe
S36 Contextual adaptation of the consolidated framework for implementation research (CFIR) in a tobacco cessation study in Vietnam
Pritika Kumar, Nancy Van Devanter, Nam Nguyen, Linh Nguyen, Trang Nguyen, Nguyet Phuong, Donna Shelley
S37 Evidence check: A knowledge brokering approach to systematic reviews for policy
Sian Rudge
S38 Using Evidence Synthesis to Strengthen Complex Health Systems in Low- and Middle-Income Countries
Etienne Langlois
S39 Does it matter: timeliness or accuracy of results? The choice of rapid reviews or systematic reviews to inform decision-making
Andrea Tricco
S40 Evaluation of the veterans choice program using lean six sigma at a VA medical center to identify benefits and overcome obstacles
Sherry Ball, Anne Lambert-Kerzner, Christine Sulc, Carol Simmons, Jeneen Shell-Boyd, Taryn Oestreich, Ashley O'Connor, Emily Neely, Marina McCreight, Amy Labebue, Doreen DiFiore, Diana Brostow, P. Michael Ho, David Aron
S41 The influence of local context on multi-stakeholder alliance quality improvement activities: A multiple case study
Jillian Harvey, Megan McHugh, Dennis Scanlon
S42 Increasing physical activity in early care and education: Sustainability via active garden education (SAGE)
Rebecca Lee, Erica Soltero, Nathan Parker, Lorna McNeill, Tracey Ledoux
S43 Marking a decade of policy implementation: The successes and continuing challenges of a provincial school food and nutrition policy in Canada
Jessie-Lee McIsaac, Kate MacLeod, Nicole Ata, Sherry Jarvis, Sara Kirk
S44 Use of research evidence among state legislators who prioritize mental health and substance abuse issues
Jonathan Purtle, Elizabeth Dodson, Ross Brownson
S45 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 1 designs
Brian Mittman, Geoffrey Curran
S46 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 2 designs
Geoffrey Curran
S47 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 3 designs
Jeffrey Pyne
S48 Linking team level implementation leadership and implementation climate to individual level attitudes, behaviors, and implementation outcomes
Gregory Aarons, Mark Ehrhart, Elisa Torres
S49 Pinpointing the specific elements of local context that matter most to implementation outcomes: Findings from qualitative comparative analysis in the RE-inspire study of VA acute stroke care
Edward Miech
S50 The GO score: A new context-sensitive instrument to measure group organization level for providing and improving care
Edward Miech
S51 A research network approach for boosting implementation and improvement
Kathleen Stevens, I.S.R.N. Steering Council
S52 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - The value of qualitative methods in implementation research
Alison Hamilton
S53 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - Learning evaluation: The role of qualitative methods in dissemination and implementation research
Deborah Cohen
S54 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - Qualitative methods in D&I research
Deborah Padgett
S55 PANEL: Maps & models: The promise of network science for clinical D&I - Hospital network of sharing patients with acute and chronic diseases in California
Alexandra Morshed
S56 PANEL: Maps & models: The promise of network science for clinical D&I - The use of social network analysis to identify dissemination targets and enhance D&I research study recruitment for pre-exposure prophylaxis for HIV (PrEP) among men who have sex with men
Rupa Patel
S57 PANEL: Maps & models: The promise of network science for clinical D&I - Network and organizational factors related to the adoption of patient navigation services among rural breast cancer care providers
Beth Prusaczyk
S58 A theory of de-implementation based on the theory of healthcare professionals’ behavior and intention (THPBI) and the becker model of unlearning
David C. Aron, Divya Gupta, Sherry Ball
S59 Observation of registered dietitian nutritionist-patient encounters by dietetic interns highlights low awareness and implementation of evidence-based nutrition practice guidelines
Rosa Hand, Jenica Abram, Taylor Wolfram
S60 Program sustainability action planning: Building capacity for program sustainability using the program sustainability assessment tool
Molly Hastings, Sarah Moreland-Russell
S61 A review of D&I study designs in published study protocols
Rachel Tabak, Alex Ramsey, Ana Baumann, Emily Kryzer, Katherine Montgomery, Ericka Lewis, Margaret Padek, Byron Powell, Ross Brownson
S62 PANEL: Geographic variation in the implementation of public health services: Economic, organizational, and network determinants - Model simulation techniques to estimate the cost of implementing foundational public health services
Cezar Brian Mamaril, Glen Mays, Keith Branham, Lava Timsina
S63 PANEL: Geographic variation in the implementation of public health services: Economic, organizational, and network determinants - Inter-organizational network effects on the implementation of public health services
Glen Mays, Rachel Hogg
S64 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Implementation fidelity, coalition functioning, and community prevention system transformation using communities that care
Abigail Fagan, Valerie Shapiro, Eric Brown
S65 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Expanding capacity for implementation of communities that care at scale using a web-based, video-assisted training system
Kevin Haggerty, David Hawkins
S66 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Effects of communities that care on reducing youth behavioral health problems
Sabrina Oesterle, David Hawkins, Richard Catalano
S68 When interventions end: the dynamics of intervention de-adoption and replacement
Virginia McKay, M. Margaret Dolcini, Lee Hoffer
S69 Results from next-d: can a disease specific health plan reduce incident diabetes development among a national sample of working-age adults with pre-diabetes?
Tannaz Moin, Jinnan Li, O. Kenrik Duru, Susan Ettner, Norman Turk, Charles Chan, Abigail Keckhafer, Robert Luchs, Sam Ho, Carol Mangione
S70 Implementing smoking cessation interventions in primary care settings (STOP): using the interactive systems framework
Peter Selby, Laurie Zawertailo, Nadia Minian, Dolly Balliunas, Rosa Dragonetti, Sarwar Hussain, Julia Lecce
S71 Testing the Getting To Outcomes implementation support intervention in prevention-oriented, community-based settings
Matthew Chinman, Joie Acosta, Patricia Ebener, Patrick S Malone, Mary Slaughter
S72 Examining the reach of a multi-component farmers’ market implementation approach among low-income consumers in an urban context
Darcy Freedman, Susan Flocke, Eunlye Lee, Kristen Matlack, Erika Trapl, Punam Ohri-Vachaspati, Morgan Taggart, Elaine Borawski
S73 Increasing implementation of evidence-based health promotion practices at large workplaces: The CEOs Challenge
Amanda Parrish, Jeffrey Harris, Marlana Kohn, Kristen Hammerback, Becca McMillan, Peggy Hannon
S74 A qualitative assessment of barriers to nutrition promotion and obesity prevention in childcare
Taren Swindle, Geoffrey Curran, Leanne Whiteside-Mansell, Wendy Ward
S75 Documenting institutionalization of a health communication intervention in African American churches
Cheryl Holt, Sheri Lou Santos, Erin Tagai, Mary Ann Scheirer, Roxanne Carter, Janice Bowie, Muhiuddin Haider, Jimmie Slade, Min Qi Wang
S76 Reduction in hospital utilization by underserved patients through use of a community-medical home
Andrew Masica, Gerald Ogola, Candice Berryman, Kathleen Richter
S77 Sustainability of evidence-based lay health advisor programs in African American communities: A mixed methods investigation of the National Witness Project
Rachel Shelton, Lina Jandorf, Deborah Erwin
S78 Predicting the long-term uninsured population and analyzing their gaps in physical access to healthcare in South Carolina
Khoa Truong
S79 Using an evidence-based parenting intervention in churches to prevent behavioral problems among Filipino youth: A randomized pilot study
Joyce R. Javier, Dean Coffey, Sheree M. Schrager, Lawrence Palinkas, Jeanne Miranda
S80 Sustainability of elementary school-based health centers in three health-disparate southern communities
Veda Johnson, Valerie Hutcherson, Ruth Ellis
S81 Childhood obesity prevention partnership in Louisville: creative opportunities to engage families in a multifaceted approach to obesity prevention
Anna Kharmats, Sandra Marshall-King, Monica LaPradd, Fannie Fonseca-Becker
S82 Improvements in cervical cancer prevention found after implementation of evidence-based Latina prevention care management program
Deanna Kepka, Julia Bodson, Echo Warner, Brynn Fowler
S83 The OneFlorida data trust: Achieving health equity through research & training capacity building
Elizabeth Shenkman, William Hogan, Folakami Odedina, Jessica De Leon, Monica Hooper, Olveen Carrasquillo, Renee Reams, Myra Hurt, Steven Smith, Jose Szapocznik, David Nelson, Prabir Mandal
S84 Disseminating and sustaining medical-legal partnerships: Shared value and social return on investment
James Teufel
doi:10.1186/s13012-016-0452-0
PMCID: PMC4977475  PMID: 27490260
14.  Pharmacotherapy for opioid dependence in jails and prisons: research review update and future directions 
Purpose
The World Health Organization recommends the initiation of opioid agonists prior to release from incarceration to prevent relapse or overdose. Many countries in the world employ these strategies. This paper considers the evidence to support these recommendations and the factors that have slowed their adoption in the US.
Methods
We reviewed randomized controlled trials (RCTs) and longitudinal/observational studies that examine participant outcomes associated with the initiation or continuation of opioid agonists (methadone, buprenorphine) or antagonists (naltrexone) during incarceration. Papers were identified through a literature search of PubMed with an examination of their references and were included if they reported outcomes for methadone, buprenorphine, or naltrexone continued during incarceration or initiated prior to release in a correctional institution.
Results
Fourteen studies were identified, including eight RCTs and six observational studies. One RCT found that patients treated with methadone who were continued on versus tapered off methadone during brief incarceration were more likely to return to treatment upon release. A second RCT found that the group starting methadone treatment in prison versus a waiting list was less likely to report using heroin and sharing syringes during incarceration. A third RCT found no differences in postrelease heroin use or reincarceration between individuals initiating treatment with methadone versus those initiating treatment with buprenorphine during relatively brief incarcerations. Findings from four additional RCTs indicate that starting opioid agonist treatment during incarceration versus after release was associated with higher rates of entry into community treatment and reduced heroin use. Finally, one pilot RCT showed that providing extended-release naltrexone prior to discharge resulted in significantly lower rates of opioid relapse compared to no medication.
Conclusion
Reasons why uptake of these pharmacotherapies is limited in the US and relatively widespread in Europe are discussed. Recommendations for future research are outlined.
doi:10.2147/SAR.S81602
PMCID: PMC4853155  PMID: 27217808
methadone; buprenorphine; naltrexone; heroin; corrections; incarceration
15.  Heroin use, HIV-risk, and criminal behavior in Baltimore: Findings from Clinical Research 
Journal of addictive diseases  2015;34(0):151-161.
This paper reviews research conducted in Baltimore over the past 15 years that examined accessibility and barriers to methadone treatment, compared those who enter treatment to those who do not, studied retention and counseling issues, as well as the impact of treatment on criminality, HIV risk among participants and overdose death in the community. Recommendations to develop policies are presented to reduce heroin use and its negative impact in the community.
doi:10.1080/10550887.2015.1059222
PMCID: PMC4550504  PMID: 26079104
methadone maintenance; interim methadone; treatment retention; buprenorphine treatment; counseling
16.  A Randomized Trial of Computerized vs. In-person Brief Intervention for Illicit Drug Use in Primary Care: Outcomes through 12 months 
This study examined outcomes through 12 months from a randomized trial comparing computerized brief intervention (CBI) vs. in-person brief intervention (IBI) delivered by behavioral health counselors for adult community health center patients with moderate-level drug misuse (N= 360). Data were collected at baseline, 3-, 6-, and 12-month follow-up, and included the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) and laboratory analysis of hair samples. Repeated measures analyses examined differential change over time. There were no significant differences in drug-positive hair tests over time or by condition. Global ASSIST scores decreased in both conditions (p< .001), but there were no significant differences between conditions in overall change across 12 months of follow-up (p= .13). CBI produced greater overall reductions in alcohol (p= .04) and cocaine (p= .02) ASSIST scores than IBI, with initial differences dissipating over time. Computerized brief interventions present a viable alternative to traditional in-person brief interventions.
doi:10.1016/j.jsat.2014.09.002
PMCID: PMC4304885  PMID: 25282578
17.  Validation and performance of the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) among adolescent primary care patients 
Addiction (Abingdon, England)  2014;110(2):240-247.
Background and aims
The World Health Organization’s Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) has strong support as a clinical screening tool and research instrument, but has only been validated with adults. This study evaluated the ASSIST and ASSIST-Lite in an adolescent population.
Design
Internal consistency, concurrent validity, discriminant validity, and diagnostic accuracy were examined for tobacco, alcohol, and cannabis ASSIST scores. An abbreviated version (the ASSIST-Lite) was evaluated for cannabis.
Setting
Three community health centers in Baltimore, Maryland, USA.
Participants
525 primary care patients, ages 12-17.
Measurements
Measures included the ASSIST, the CRAFFT screening tool, and items from the Composite International Diagnostic Interview (CIDI) corresponding to substance use disorder criteria in the Diagnostic and Statistical Manual of Mental Disorders, 5th edition.
Findings
The ASSIST had good internal consistency (αs=.68-.88), good concurrent validity with the CRAFFT (r=.41-.76; ps<.001), and was able to discriminate between gradations of cannabis problem severity. In receiver operating characteristics analysis of optimal clinical cut-points, the ASSIST accurately identified tobacco, alcohol, and cannabis use disorders (sensitivities=95%-100%; specificities=79%-93%; area under the curve [AUC]=.90-.94), but did so at minimally low cut-points (indicative of any use in the past 3 months). The ASSIST-Lite performed similarly to the ASSIST in identifying cannabis use disorders (sensitivity=96%; specificity=88%; AUC=.92), also at a minimally low cut-point. However, confirmatory factor analysis of the ASSIST indicated poor model fit.
Conclusions
The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) is promising as a research and screening/brief assessment tool with adolescents, but revisions to clinical risk thresholds are warranted. The ASSIST-Lite is sufficiently informative for rapid clinical screening of adolescents for cannabis use disorders.
doi:10.1111/add.12767
PMCID: PMC4301997  PMID: 25311148
ASSIST; adolescents; psychometrics; screening; validation; alcohol; tobacco; cannabis
18.  Staff Views of Acceptability and Appropriateness of a Computer-Delivered Brief Intervention for Moderate Drug and Alcohol Use 
Journal of psychoactive drugs  2015;47(4):301-307.
The use of computers for identifying and intervening with stigmatized behaviors, such as drug use, offers promise for underserved, rural areas; however, the acceptability and appropriateness of using computerized brief intervention (CBIs) must be taken into consideration. In the present study, 12 staff members representing a range of clinic roles in two rural, federally qualified health centers completed semi-structured interviews in a qualitative investigation of CBI vs. counselor-delivered individual brief intervention (IBI). Thematic content analysis was conducted using a constant comparative method, examining the range of responses within each interview as well as data across interview respondents. Overall, staff found the idea of providing CBIs both acceptable and appropriate for their patient population. Acceptability by clinic staff centered on the ready availability of the CBI. Staff also believed that patients might be more forthcoming in response to a computer program than a personal interview. However, some staff voiced reservations concerning the appropriateness of CBIs for subsets of patients, including older patients, illiterate individuals, or those unfamiliar with computers. Findings support the potential suitability and potential benefits of providing CBIs to patients in rural health centers.
doi:10.1080/02791072.2015.1075631
PMCID: PMC4669042  PMID: 26375411
computer technology; primary care; qualitative; SBIRT; substance abuse
19.  The CRAFFT cut-points and DSM-5 criteria for alcohol and other drugs: A re-evaluation and re-examination 
Background:
The CRAFFT, previously validated against DSM-IV diagnostic criteria, is the most widely used screening instrument for alcohol and other substance misuse in adolescents. The present secondary analysis study sought to compare the CRAFFT with the new DSM-5 diagnostic criteria in order to assess the CRAFFT’s psychometric properties and determine the optimal cut-point for identifying adolescents in need of further assessment.
Methods:
Participants were primary care patients ages 12-17 (N=525) who were recruited while waiting for a medical appointment in an urban federally qualified health center in Baltimore, Maryland, USA. Participants were administered the CRAFFT and the Composite International Diagnostic Interview, second edition, modified to include the new DSM-5 craving item. We examined the performance of the CRAFFT in identifying any problem use (defined as 1 or more DSM-5 criteria) and any DSM-5 substance use disorder (2 or more DSM-5 criteria) for alcohol or drugs other than tobacco. We examined sensitivity, specificity, and receiver operating characteristic areas under the curve (AUC) to determine the optimal CRAFFT cut-point(s) for predicting any problem use and any DSM-5 substance use disorder (SUD).
Results:
Examining the CRAFFT as a continuous measure, AUC values were 0.93 for problem use or higher, and 0.97 for DSM-5 SUD. Consistent with previously recommended cut-points for the CRAFFT, the cut-point of 2 performed optimally for identifying adolescents both exhibiting problem use of alcohol or drugs and meeting DSM-5 SUD criteria for alcohol or other drugs.
Conclusions:
Despite changes in the DSM substance use diagnostic criteria, the CRAFFT continues to demonstrate excellent sensitivity and specificity at its established cut-point of 2. Additional studies examining the CRAFFT in light of the new DSM-5 diagnostic criteria with more diverse populations are warranted.
doi:10.1080/08897077.2014.936992
PMCID: PMC4268117  PMID: 25036144
20.  Hair Drug Testing Results and Self-reported Drug Use among Primary Care Patients with Moderate-risk Illicit Drug Use 
Drug and alcohol dependence  2014;141:44-50.
Background
This study sought to examine the utility of hair testing as a research measure of drug use among individuals with moderate-risk drug use based on the internationally-validated Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST).
Methods
This study is a secondary analysis using baseline data from a randomized trial of brief intervention for drug misuse, in which 360 adults with moderate-risk drug use were recruited from two community clinics in New Mexico, USA. The current study compared self-reported drug use on the ASSIST with laboratory analysis of hair samples using a standard commercially-available 5-panel test with assay screening and gas chromatography/mass spectrometry (GC/MS) confirmation. Both self-report and hair testing covered a 3 month period.
Results
Overall concordance between hair testing and self-report was 57.5% (marijuana), 86.5% (cocaine), 85.8% (amphetamines), and 74.3% (opioids). Specificity of hair testing at standard laboratory cut-offs exceeded 90% for all drugs, but sensitivity of hair testing relative to self-report was low, identifying only 52.3% (127/243) of self-disclosed marijuana users, 65.2% (30/46) of cocaine users, 24.2% (8/33) of amphetamine users, and 2.9% (2/68) of opioid users. Among participants who disclosed using marijuana or cocaine in the past 3 months, participants with a negative hair test tended to report lower-frequency use of those drugs (p< .001 for marijuana and cocaine).
Conclusions
Hair testing can be useful in studies with moderate-risk drug users, but the potential for under-identification of low-frequency use suggests that researchers should consider employing low detection cut-offs and using hair testing in conjunction with self-report.
doi:10.1016/j.drugalcdep.2014.05.001
PMCID: PMC4080811  PMID: 24932945
Hair testing; self-report; moderate-risk drug use; brief intervention; primary care
21.  Concordance between DSM-5 and DSM-IV nicotine, alcohol, and cannabis use disorder diagnoses among pediatric patients 
Drug and alcohol dependence  2014;140:213-216.
Background
The recently published Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) includes several major revisions to substance use diagnoses. Studies have evaluated the impact of these changes among adult samples but research with adolescent samples is lacking.
Methods
525 adolescents (93% African American) awaiting primary care appointments in Baltimore, Maryland were recruited for a study evaluating a substance use screening instrument. Participants were assessed for DSM-5 nicotine, alcohol, and cannabis use disorder, DSM-IV alcohol and cannabis abuse, and DSM-IV dependence for all three substances during the past year using the modified Composite International Diagnostic Interview-2, Substance Abuse Module. Contingency tables examining DSM-5 vs. DSM-IV joint frequency distributions were examined for each substance.
Results
Diagnoses were more prevalent using DSM-5 criteria compared with DSM-IV for nicotine (4.0% vs. 2.7%), alcohol (4.6% vs. 3.8%), and cannabis (10.7% vs. 8.2%). Cohen's κ, Somers' d, and Cramer's V ranged from 0.70-0.99 for all three substances. Of the adolescents categorized as “diagnostic orphans” under DSM-IV, 7/16 (43.8%), 9/29 (31.0%), and 13/36 (36.1%) met criteria for DSM-5 disorder for nicotine, alcohol, and cannabis, respectively. Additionally, 5/17 (29.4%) and 1/21 (4.8%) adolescents who met criteria for DSM-IV abuse did not meet criteria for a DSM-5 diagnosis for alcohol and cannabis, respectively.
Conclusions
Categorizing adolescents using DSM-5 criteria may result in diagnostic net widening-particularly for cannabis use disorders-by capturing adolescents who were considered diagnostic orphans using DSM-IV criteria. Future research examining the validity of DSM-5 substance use disorders with larger and more diverse adolescent samples is needed.
doi:10.1016/j.drugalcdep.2014.03.034
PMCID: PMC4070874  PMID: 24793367
adolescent; DSM-5; DSM-IV; diagnostic concordance; substance use disorder
22.  Computerized v. In-person Brief Intervention for Drug Misuse: A Randomized Clinical Trial 
Addiction (Abingdon, England)  2014;109(7):1091-1098.
Background and aims
Several studies have found that brief interventions (BIs) for drug misuse have superior effectiveness to no-treatment controls. However, many health centers do not provide BIs for drug use consistently due to insufficient behavioral health staff capacity. Computerized BIs for drug use are a promising approach, but their effectiveness compared with in-person BIs has not been established. This study compared the effectiveness of a computerized brief intervention (CBI) to an in-person brief intervention (IBI) delivered by a behavioral health counselor.
Methods
Two-arm randomized clinical trial, conducted in two health centers in New Mexico, USA. Participants were 360 adult primary care patients with moderate-risk drug scores on the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) who were randomly assigned on a 1:1 basis to a computerized brief intervention (CBI) or to an in-person brief intervention (IBI) delivered by a behavioral health counselor. Assessments were conducted at baseline and 3-month follow-up, and included the ASSIST and drug testing on hair samples.
Results
The IBI and CBI conditions did not differ at 3 months on global ASSIST drug scores (b=−1.79; 95% CI=−4.37,0.80) or drug-positive hair tests (OR=.97; 95% CI= 0.47,2.02). There was a statistically significant advantage of CBI over IBI in substance-specific ASSIST scores for marijuana (b=−1.73; 95% CI= −2.91,−0.55; Cohen’s d=.26; p=.004) and cocaine (b= −4.48; 95% CI= −8.26,−0.71; Cohen’s d=.50; p=.021) at 3 months.
Conclusions
Computerized brief intervention can be an effective alternative to in-person brief intervention for addressing moderate drug use in primary care.
doi:10.1111/add.12502
PMCID: PMC4086904  PMID: 24520906
brief intervention; computer technology; substance abuse
23.  Changes in Quality of Life following Buprenorphine Treatment: Relationship with Treatment Retention and Illicit Opioid Use 
Journal of psychoactive drugs  2015;47(2):149-157.
Studies of substance abuse treatment outcomes that give priority to cessation of all drug use may obscure other tangible benefits of treatment that are important to patients. The aim of this study was to examine the association between changes in quality of life (QoL) and: (a) retention in treatment and (b) opioid use as measured by self-report and urine testing. Participants were 300 African American men and women starting outpatient buprenorphine treatment. Participants completed assessments at baseline, 3- and 6-months consisting of the World Health Organization’s Quality of Life brief scale, Addiction Severity Index, and urine testing for opioids. There were statistically significant increases over time across all four QoL domains: physical, psychological, environmental, and social. Self-reported frequency of opioid use was negatively associated with psychological QoL, but opioid urine test results were not significantly associated with any QoL domains. Continued treatment enrollment was significantly associated with higher psychological QoL and environmental QoL. Patients entering buprenorphine treatment experience improvements in QoL, which are amplified for patients who remain in treatment. Point-prevalence opiate urine test results obtained at each assessment were not associated with any of the QoL domains and may not accurately reflect improvements perceived by patients receiving buprenorphine treatment.
doi:10.1080/02791072.2015.1014948
PMCID: PMC4425232  PMID: 25950595
Quality of Life; Buprenorphine; Urine Testing; Treatment Retention; Minority Health
24.  Validity of Brief Screening Instrument for Adolescent Tobacco, Alcohol, and Drug Use 
Pediatrics  2014;133(5):819-826.
BACKGROUND AND OBJECTIVE:
The National Institute on Alcohol Abuse and Alcoholism developed an alcohol screening instrument for youth based on epidemiologic data. This study examines the concurrent validity of this instrument, expanded to include tobacco and drugs, among pediatric patients, as well as the acceptability of its self-administration on an iPad.
METHODS:
Five hundred and twenty-five patients (54.5% female; 92.8% African American) aged 12 to 17 completed the Brief Screener for Tobacco, Alcohol, and other Drugs (BSTAD) via interviewer-administration or self-administration using an iPad. Diagnostic and Statistical Manual, Fifth Edition substance use disorders (SUDs) were identified using a modified Composite International Diagnostic Interview-2 Substance Abuse Module. Receiver operating characteristic curves, sensitivities, and specificities were obtained to determine optimal cut points on the BSTAD in relation to SUDs.
RESULTS:
One hundred fifty-nine (30.3%) adolescents reported past-year use of ≥1 substances on the BSTAD: 113 (21.5%) used alcohol, 84 (16.0%) used marijuana, and 50 (9.5%) used tobacco. Optimal cut points for past-year frequency of use items on the BSTAD to identify SUDs were ≥6 days of tobacco use (sensitivity = 0.95; specificity = 0.97); ≥2 days of alcohol use (sensitivity = 0.96; specificity = 0.85); and ≥2 days of marijuana use (sensitivity = 0.80; specificity = 0.93). iPad self-administration was preferred over interviewer administration (z = 5.8; P < .001).
CONCLUSIONS:
The BSTAD is a promising screening tool for identifying problematic tobacco, alcohol, and marijuana use in pediatric settings. Even low frequency of substance use among adolescents may indicate need for intervention.
doi:10.1542/peds.2013-2346
PMCID: PMC4006430  PMID: 24753528
adolescent; substance use; substance abuse screen; DSM-5; substance use disorder
25.  Interim vs. Standard Methadone Treatment: A Benefit-Cost Analysis 
A benefit-cost analysis was conducted as part of a clinical trial in which newly-admitted methadone patients were randomly assigned to interim methadone (IM; methadone without counseling) for the first 4 months of 12 months of methadone treatment or 12 months of methadone with one of two counseling conditions. Health, residential drug treatment, criminal justice costs, and income data in 2010 dollars were obtained at treatment entry, and 4- and 12-month follow-up from 200 participants and program costs were obtained. The net benefits of treatment were greater for the IM condition but controlling for the baseline variables noted above, the difference between conditions in net monetary benefits was not significant. For the combined sample, there was a pre- to post-treatment net benefit of $1,470 (95% CI: −$625; $3584) and a benefit-cost ratio of 1.5 (95% CI: 0.8, 2.3), but using our conservative approach to calculating benefits, these values were not significant.
doi:10.1016/j.jsat.2013.10.003
PMCID: PMC3947051  PMID: 24239030
benefit-cost; methadone treatment; interim methadone

Results 1-25 (41)