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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
J Racial Ethn Health Disparities. Author manuscript; available in PMC 2016 June 10.
Published in final edited form as:
J Racial Ethn Health Disparities. 2016 June; 3(2): 189–199.
Published online 2015 May 28. doi:  10.1007/s40615-015-0125-8
PMCID: PMC4902177
NIHMSID: NIHMS713350

Academic-Community Partnership to Develop a Patient-Centered Breast Cancer Risk Reduction Program for Latina Primary Care Patients

Abstract

This collaborative study sought to address Latina breast cancer (BC) disparities by increasing health literacy (HL) in a community health center situated on the US-Mexico border region of San Diego County. An academic-community partnership conducted formative research to develop a culturally tailored promotora-based intervention with 109 individuals. The Spanish language program, entitled Nuestra Cocina: Mesa Buena, Vida Sana (Our Kitchen: Good Table, Healthy Life), included six sessions targeting HL, women’s health, BC risk reduction, and patient-provider communication; sessions include cooking demonstrations of recipes with cancer-risk-reducing ingredients. A pilot study with 47 community health center Latina patients was conducted to examine the program’s acceptability, feasibility, and ability to impact knowledge and skills. Pre- and post-analyses demonstrated that participants improved their self-reported cancer screening, BC knowledge, daily fruit and vegetable intake, and ability to read a nutrition label (p<0.05). Results of the pilot study demonstrate the importance of utilizing patient-centered culturally appropriate noninvasive means to educate and empower Latina patients.

Keywords: Latinas, Breast cancer risk reduction, Formative research, Community health center, Patient-centered care, Women’s health, Community-based participatory research

Introduction

In 2009, cancer surpassed heart disease as the leading cause of death for Latinos, contrasting all other racial/ethnic groups [1]. Breast cancer (BC) is among the most commonly diagnosed cancers and among the top causes of mortality among Latinas in California and nationwide [15]. Cancer treatment is the second highest annual medical expenditure for US women (37.7 billion) [6], with estimated lifetime per-patient costs for BC treatment ranging from $20,000 to $100,000; costs increase with more advanced cancer stages [7, 8]. BC risks include age, behavioral (e.g., alcohol use, obesity, lack of physical activity), genetic and physiological factors (e.g., inherited risk and breast density), and environmental risks (e.g., radiation exposure, estrogen) [9]. Little to no community-based cancer control intervention research has been conducted on border Latino populations outside of Texas. Given the community composition (e.g., rural versus urban) and access to resource differences between Southern California and Southern Texas, there is a need to test and apply cancer control efforts in the California-Mexico border region.

Latinas are more likely to be diagnosed with late-stage cancers compared to non-Hispanic white women, resulting in more invasive treatments and lower survival rates in San Diego, California [3] and nationwide [10]. Regular use of BC screening is associated with early detection and decreased risk of developing invasive cancer [11] and a significantly increased rate of survival [1216]. Evidence-based primary care screening guidelines for BC vary; those most aligned with health insurance programs stem from the National Cancer Institute (NCI) and the Agency for Healthcare Research and Quality (AHRQ). NCI recommends that women 50 years and older receive mammograms every year [17], and AHRQ recommends mammography every 1 to 2 years, with or without clinical breast exam (CBE) [18]. Screening differs by ethnicity, education, income, acculturation, and geographic region [19]. Latinas have lower screening rates than other ethnicities nationwide [1, 20, 21] and in San Diego, California [22].

Health Literacy and Cancer Screening

Health literacy (HL) is one of the strongest predictors of BC screening among Latinas [23]. HL is the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions [24, 25]. HL is evolving to include components beyond reading ability, such as patient empowerment, self-navigation, and self-care ability [26]. National 2003 data showed that almost 90 % of adults surveyed did not have proficient HL (e.g., the ability to read a prescription label) and Latinos had the lowest scores of all ethnic groups [27]. Individuals with lower HL have poorer health outcomes [28]. Latinas in the USA have the lowest level of educational attainment and are the least likely to obtain a high school or bachelor’s degree [29, 30]. As such, HL is likely to be a major contributor of health disparities, particularly among Latinas of low educational attainment.

Inadequate HL is also linked to health risk behaviors [28, 31, 32], increased hospitalization rates and emergency care usage [33], and lower rates of preventive care use [33, 34]. Studies show that low HL relates to low preventive care knowledge [35] and causes barriers to accessing and using health information [36, 37]. Thus, HL has been recognized as a key factor in revitalizing the health-care system and promotion of the patient-centered medical home (PCMH). PCMH and HL overlap includes a deeper focus on the following: (1) improved patient-provider communication, (2) navigation and improved access, (3) multiple methods of communication, (4) shared decision making, and (5) self-care and patient empowerment [38]. HL interventions in clinical settings can increase comprehension, knowledge, and self-care abilities [39] and are effective at improving dietary behavior and knowledge [36, 40], although HL interventions focusing on BC risk reduction among Latinas are limited. BC screening is a modifiable behavior and, therefore, one of the most important intervention targets for BC risk reduction.

Promoting Screening Adherence Among Latinas

Facilitators of screening adherence among Latinas include individual (e.g., knowledge and insurance), system-level (e.g., proactive care coordination, electronic reminders, and case management), and provider-level factors (e.g., primary care physician referral) [10, 14, 19, 23, 4157]. Research shows that community- and clinic-based interventions are effective at increasing screening rates among Latinas [58]. Such strategies include group or individual education and clinician and system interventions, e.g., reminders, decision aides, increased access to services, physician recommendations, and patient navigation and case management [12, 15, 5861]. Such evidence-based strategies have been shown to improve screening rates from 10 to 20 % [58]. However, acculturation levels among Latinas may play a significant role in the relevance and effectiveness of these strategies. Latinas with low acculturation and limited English proficiency have greater difficulties communicating with and understanding providers [62, 63] and are less likely to use preventive services, such as cancer screening, or have health insurance [51, 53, 6469]. Studies show several Latina cultural perceptions, beliefs, and behaviors impede screening use, including fatalistic beliefs [7076] and misconceptions about cancer [21, 63, 7078], seeking health care only when sick, fear [53, 70, 7375, 77, 79, 80], denial that cancer can occur, other needs more pressing than preventive care, use other remedies rather than biomedical care [81, 82], low perceived cancer susceptibility [79], putting the health needs of the family before one’s own needs, lack of information [63], disbelief in the efficacy of early detection, unawareness of cancer risk [83], and embarrassment of exposing private body parts [63]. As such, there is a need for culturally appropriate interventions aimed to reduce Latina cancer disparities [84, 85], and studies show that educational programs that are personally relevant and tailored to cultural belief systems are more effective than those that are not [8688].

To improve the use of BC screening outcomes among Latinas, there is growing evidence for promotora-based interventions [8991]. Promotores/as are lay health advisors that provide community health education and generally are culturally and linguistically aligned with the target population, of the same age, and have had personal or close experience with the disease (e.g., cancer) for which s/he is providing education. Promotores/as are formally trained to provide group or one-on-one education to build knowledge using local resources and services, aid with patient navigation, and increase health-care service access and utilization [9294]. Recent research shows that the integration of community health workers (i.e., promotoras) as part of the patient-care team can assist primary care settings to become more patient-centered [95].

Collaborative Study Development

This study was conceptually guided by community-based participatory research (CBPR) [96] and cultural tailoring approaches to health communication [8688]. Although research shows evidence that group education can motivate, inform, and empower women for positive behavioral change and to obtain screening [58], it is unclear whether these strategies can be generalized to Spanish-speaking Latinas. In order to develop and test the effectiveness of these strategies, an academic-community partnership was formed in which cancer coalition members were integral in informing study design and implementation. Development of these strategies followed CBPR principles to ensure relevance to the patient population. The primary purpose of this academic-community partnership study was to develop and test a health educational program delivered through a culturally tailored Spanish cooking class series delivered by a promotora, entitled the Nuestra Cocina: Mesa Buena, Vida Sana (Our Kitchen: Good Table, Healthy Life) program. Specifically, this study aimed to improve HL- and BC-related knowledge (e.g., cancer myths and understanding of risk), behavior (e.g., deprioritizing self and not making time for preventive care), and cultural beliefs (e.g., fatalistic cancer beliefs) that influence screening intention.

Methods

Participants

This study focuses on a patient population of Mexican-heritage Latina women attending San Ysidro Health Center, Inc. (SYHC), a federally qualified community health center in the Southern border region of San Diego, California, adjacent to Tijuana, Baja California Norte, Mexico. SYHC has over 10 clinic sites and over 90,000 registered patients, most of whom are Spanish-speaking Latinos. According to the 2010 US census, Latinos—the majority of whom are of Mexican heritage—comprise the second largest ethnic group in the USA, consisting of 37 % of Californians and about 30 % of San Diegans; yet more than 70 % of the South San Diego communities of San Ysidro, Chula Vista, and Imperial Beach are Latino [97]. Participants in this study included enrolled SYHC patients who were Spanish-speaking Mexican-born women. Participants (n=42) reported an average age of 51.9 (SD=7.5) and 46.4 % had less than a high school education. Most (73.2 %) reported having a household income of less than $20,000 per year and 19.5 % were currently employed. Several women (95.2 %) had a mammogram ever, yet 19 % had a colorectal cancer exam ever. Few (10 %) reported ever smoking cigarettes in the past, and 21.4 % reported currently having diabetes. Finally, many participants reported that a doctor had recommended a diet reduced in sodium (76.2 %) or reduced in fat and cholesterol (88.1 %) in the past (Table 1).

Table 1
Participant characteristics at baseline (n=42)

Data Collection

Recruitment was carried out in-person by trained research assistants in the SYHC clinic waiting rooms through verbal announcements, flyers, and informational booths in high traffic areas. Potential participants were invited to participate in a 6-week group cooking class education program that focused on women’s health. Eligibility criteria included SYHC Spanish-speaking Latina patients over the age of 40 years with some form of BC screening coverage (e.g., health insurance or Every Woman Counts), no personal history of BC, and no mammogram in the last year. A total of 81 women that stated interest in participating in the study were screened for eligibility, of which 73 were eligible, and 3 refused to participate due to the study intervention time requirements. All 73 eligible women received a follow-up phone call to further describe the study and participation requirements. Among the eligible women, 47 agreed to participate in one of three cohorts. Reasons for not participating included time conflicts, lack of available childcare, and lack of transportation to the class location. The total retention rate was 96 % (n=45), where 44 participants attended at least five of six classes to graduate the program, and 72 % (n=34) attended all six classes and received the full dose of the intervention. Two-month postintervention follow-up data is available on 42 women (89 %). During session 1, the promotora and research assistant consented participants and collected the baseline survey. Detailed field notes were documented by an RA trained in ethnography and a background in qualitative method data collection and analysis. Refreshments or light snacks were offered at each session and each participant was given a total of $50.00 to participate in the intervention and complete the baseline, immediate follow-up, and 2-month postintervention follow-up survey.

Nuestra Cocina: Cancer Risk Reduction Intervention Description

The program was developed using a CBPR approach with Latinas in Southern San Diego, California. Content was designed by using data from key informant interviews with 15 key cancer stakeholders with knowledge of the needs of the target community and by hosting focus groups with 45 Latina patients [7073, 98102]. This was coupled with information from evidence-based sources (e.g., the NCI, the American Cancer Society (ACS), and the American Institute for Cancer Research (AICR) [85, 103105]). The curriculum materials were then pretested with 46 women who were recruited using the same methods and eligibility criteria as the current feasibility study to assess the cultural and linguistic appropriateness, readability, and usability of materials for consumers with limited prior medical knowledge and low literacy [106, 107]. Suggested changes were incorporated in the final curriculum [108, 109].

The finalized 6-week Spanish language program, entitled “Nuestra Cocina: Mesa Buena, Vida Sana (Our Kitchen: Good Table, Healthy Life),” integrates SYHC’s cooking class education format with educational sessions. The program was culturally tailored to reflect cultural elements discovered in our formative research mentioned above, including deep structure elements such as Latino cultural values (e.g., personalismo, respeto, familismo, marianismo) and cultural beliefs (e.g., coraje and nervios) related to BC risk reduction strategies. In addition, surface structure included familiar pictures, group cooking, and traditional recipes delivered by a promotora [110]. The sessions consist of (1) women’s health and cancer basics, (2) HL and navigation of screening services, (3) dispelling BC myths, (4) communicating with providers, (5) risk reduction strategies, and (6) graduation and review. The curriculum is a mix of promotora-based group instruction; low literacy health education handouts; cooking demonstrations using healthy recipe and ingredients to reduce cancer risk stemming from the NCI, ACS, and AICR; role modeling; the Personal Health Journal to track preventive service visits; homework; take-home recipes; and follow-up calls. The curriculum was designed for delivery by promotoras (Table 2).

Table 2
NuestraCocina—overview

Measures

A series of Spanish language self-administered pencil and paper surveys was administered to participants. Surveys were translated to Spanish by several members of the research team whose primary language was Spanish using standard back translation techniques [111]. Surveys took 15–20 min to complete and were tested during our pilot study for readability and comprehensibility. To assess the study impact on screening intentions and related factors, the following measures were included: demographics, health history, cultural and psychosocial factors with BC relevance, HL, screening intentions, and BC/CRC screening.

Demographics and Health History

Participants completed standard items to assess their age, socioeconomic status (SES) (e.g., education, household income, occupation), marital status, nativity, ethnicity, time spent in the USA, and generation. In addition, participants completed measures of access to care, history of cancer, and smoking history.

BC Screening and Screening Intentions

Two questions related to ever having had a mammogram or colon cancer screening (yes/no) were derived from the CDC’s Behavioral Risk Factor Surveillance Survey (BRFSS) (http://www.cdc.gov/brfss/). BC screening intention “How often do you plan in getting a mammogram in the future?” (annually, every 2 years, every 5 years) was assessed by modifying an existing question from the 2003 NCI Health Information National Trends Survey (HINTS) (http://hints.cancer.gov).

Health Literacy Screeners

Three items from the Chew Health Literacy Screener were included to assess confidence in filling out medical forms, asking for help in reading clinic materials, and interpreting written medications [112, 113]. The 3-item scale was summed and a mean score was used for analysis with higher scores indicating greater health literacy; this 3-item scale had a moderate reliability in Spanish (α=0.40). In addition, the Newest Vital Sign (NVS) developed by Weiss and colleagues was used. The NVS utilizes a standard nutritional label to assess numeracy and basic computational skills necessary for health [114]. One item from the NVS was used for analysis purposes, which read, “if you were to eat the whole amount of ice cream, how many calories would you consume?” Answers were recoded as “correct (1000 cal)=1 and incorrect (any other answer)=0.”

BC Knowledge

Questions assessing knowledge of BC screening, prevention, and risk reduction were derived from two items from the Bird and colleagues’ 5-item BC Knowledge Scale [115] and three questions assessing knowledge of risks were added. Sample items include “A woman can have BC without symptoms or without feeling ill [115]” and “If a woman has a breast tumor, it is always malignant.” These items were summed and sum score that ranged from 0 to 5 was created, with higher scores indicating greater BC knowledge; this 5-item scale had a good reliability in Spanish (α=0.70).

BC Cultural Beliefs

Items were developed based on cultural-based BC beliefs that emerged in formative research. The three items assessed beliefs related to the cause of spread of BC, including Bwhen a woman has strong anger (coraje), it causes cancer”; “BC can spread to other parts of the body during a biopsy or surgery”; and “having a lot of stress or anxiety causes cancer.” The three items were summed to create a mean score that ranged from 0 to 3, with higher scores indicating greater endorsement of BC cultural beliefs; this 5-item scale had a moderate reliability in Spanish (α=0.47).

Diet

Two questions related to daily fruit and vegetable intake that stem from the CDC BRFSS were included to assess dietary behavioral change as a result of the program. Participants were asked how often they ate more than one fruit and how often they ate more than one vegetable per day, with a response format that ranged from “never” to “always.”

Process Evaluation Measures

Following the RE-AIM framework [116118], a quasi-experimental process evaluation of the program was conducted using materials adapted from an evidence-based promotora-delivered curriculum (e.g., Project DULCE) at SYHC [119]. Measures included intervention fidelity, tracking of recruitment and retention, dosage delivered and received through independent observations of the degree to which scripted content was covered, participant satisfaction, structured observations, and promotora perceptions on areas for improvement [120122].

Data Analysis

To assess the impact of the intervention on HL and related knowledge, behavior, and cultural beliefs, outcomes were analyzed from preintervention to 2-month postintervention using t tests and chi-square tests [123, 124] in SPSS version 22.0. Where appropriate, overall continuous sum scores were created for scales for each of the measurement time points (i.e., baseline and 2-month postintervention follow-up). In reality, 47 Latina adults participated at baseline, and 42 (89 %) at 2-month follow-up. Data presented here are on the 42 participants with complete data at both measurement time points.

To assess the quality of the intervention, all process evaluation data (including the promotora, participant, and observer rating sheets) was summarized to determine attendance, dosage, and fidelity. These open-ended questions were administered at the end of each session and assessed perceived relevance, self-efficacy, acceptability, and overall satisfaction for each session topic and related nutritional recipe. In addition, the promotora and assistants completed session assessments and evaluation forms upon the completion of each session. Open-ended responses and satisfaction data were analyzed to determine salient themes within and across cohorts. Themes that reflect the most common feedback are reported here.

Results

Impact Evaluation Results

Study outcomes evaluating the interventions’ impact on participant knowledge, attitudes, and behavior to promote screening intention were assessed. Results demonstrated that women increased their cancer knowledge, nutrition-related behavior and skills, and self-reported cancer screening from pre- to postintervention assessment. Participant BC knowledge increased from baseline (Mpre=2.64) to postintervention assessment (Mpost=3.02) (p≤0.05). Participants were more likely to have a mammogram or colorectal cancer exam ever at postintervention assessment (p≤0.05). Women reported eating more fruits and vegetables and were more likely to be able to correctly read a nutrition label, a computational health literacy skill, at posttest (p≤0.05). Participants had no significant change in measures of BC cultural beliefs, health literacy, and screening intentions (Table 3).

Table 3
Change in cancer-related knowledge and behaviors

Process Evaluation Results

First, results from participants show that the program was well-received, with Session 4: improving communication with healthcare providers and patient rights rated as the most popular session. Overall, participants reported that the cooking classes and recipe components of the series were the most appealing (Table 4). Participants also highlighted that the sessions provided an “open and safe place just for women” which encouraged the discussion of culturally sensitive topics related to women’s health, including demystifying cultural beliefs related to breast health. Second, the promotora completed a form following each session to evaluate the session the participants’ general interest and other relevant feedback. She recommended introducing more new “unfamiliar” vegetables into the recipes since the women were open to “try new ingredients.” The promotora underscored anecdotal feedback from women who stated that they “felt more empowered” to prioritize and take control of their health and “more confident” to discuss and clarify health topics with their health providers. In addition, women also reported that the program made them “feel special” and included a discussion of the cultural and normative issues that frequently influenced their self-care. Finally, each session was observed for fidelity of intervention delivery. Dosage ratings for the sessions ranged between 90 and 98 % demonstrating that the majority of the scripted content was covered. The observer did not identify any concerns. The feasibility, relevance, and overall acceptability of this culturally tailored intervention study demonstrate its suitability for a clinic setting. Furthermore, the study carefully considered factors such as the location, session times, and session duration to best suit the needs of the women in the study. In this way, frequently reported barriers to attendance such as work and family responsibilities were minimized, resulting in high attendance and successful program completion.

Table 4
Key process evaluation results

Discussion

This academic-community partnership study was built upon several years of prior collaborative efforts, was mutually beneficial, and had a balance of scientific and community-oriented contributions. This research study supports previous research [125] and the importance of academic-community partnerships in the successful delivery of community-based cancer control programs that reach and impact Latina women. Results demonstrated that recruitment, intervention, and assessment methods were feasible and accepted by the target community. High attendance and participation in the sessions, as well as high retention rates, support the feasibility and acceptability of the promotora-led intervention in this community.

Results showed that there were improvements in cancer knowledge and nutrition-related behaviors and no change in HL, which has implications for HL research. Measures of HL in previous studies vary and can include various components such as health-related reading level, numeracy, and health-related knowledge. The current study conceptualized HL as specific to BC risk reduction and utilized brief measures that could be administered in a clinic setting. Future studies are needed to validate such multidimensional measures of HL.

This pilot intervention study had several limitations. Selection bias may have influenced recruitment because patients who were in obvious distress or pain were not approached. The relatively low sample size may have limited the power to detect other or more notable statistically significant differences. This study was based at a community health center serving a patient population of predominantly low-income Spanish-speaking Mexican origin individuals, limiting the generalizability of findings to other Latino and non-Latino cultural groups. In addition, since all participants were active patients within a primary care setting and had some form of BC screening coverage (i.e., health insurance or the California Every Women Counts program for the uninsured), results may vary in comparison to populations that lack access to these services. The Spanish breast cancer risk knowledge and cultural belief scales that were derived from focus groups and the researchers’ previous experience had low reliability and, thus, have not yet been validated, limiting their widespread utilization. In addition, at the time of study recruitment and implementation, the clinic had not fully implemented its electronic health record (EHR) system; thus, this study relied on self-report cancer screening behaviors. However, Nuestra Cocina findings have the potential to be applied to other national federally qualified CHC settings (that serve over 20 million patients annually) but limited validity to organizations that target middle and upper class populations.

Conclusion

This academic-community partnership developed and tested the Nuestra Cocina program, an innovative group health education cancer literacy intervention that aimed to be appropriate for the population and community setting. Nuestra Cocina addresses features of the Affordable Care Act as it relates to primary care settings and the patient-centered medical home, including promotion of meeting clinical preventive service guidelines, patient empowerment, improving patient-provider communication, promoting Healthcare Effectiveness Data and Information Set (HEDIS) indicators, and meaningful use of EHR. Results demonstrate the importance of utilizing patient-centered culturally appropriate noninvasive means, such as cooking classes, to educate and empower Latina patients for behavioral change.

Acknowledgments

This research was made possible by the California Breast Cancer Research Program (18AB-1100), the National Cancer Institute’s Center to Reduce Cancer Health Disparities (U01 CA114657-05 and U54 CA153511), and the National Institute for Minority Health and Health Disparities (R25MD006853-01). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH or CBCRP. The authors thank the San Diego Cancer Care Access Partnership (C-CAP) Coalition. Special thanks go to patients at San Ysidro Health Center, Inc. who made this research possible.

Footnotes

Conflict of Interest All authors declare that they have no conflicts of interest.

Ethical Standards Statement This research study involved human subjects and was approved by the San Diego State University and San Ysidro Health Center, Inc. institutional review boards. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000 (5). Informed consent was obtained from all participants for being included in the study.

References

1. American Cancer Society (ACS) Cancer facts & figures for Hispanics/Latinos 2012–2014. American Cancer Society; Atlanta: 2012.
2. American Cancer Society (ACS) California cancer facts & figures, 2008. 2008 [cited 2008 February 14]; Available from: http://www.ccrcal.org/PDF/ACS2008.pdf.
3. California Cancer Registry Public use data set: California cancer incidence and mortality rates plus interactive maps. 2008 [retrieved 2008 August 1]; Available from: http://www.ccrcal.org/dataquery.html.
4. American Cancer Society Cancer facts & figures. 2014 Available from: http://www.cancer.org/acs/groups/content/@research/documents/webcontent/acspc-042151.pdf.
5. American Cancer Society (ACS) Colorectal cancer facts & figures, 2014–2016. 2014 [Retrieved 2008 February 1]; Available from: http://www.cancer.org/acs/groups/content/documents/document/acspc-042280.pdf.
6. Soni A. Top 10 most costly conditions among men and women, 2008: estimates for the U.S. civilian noninstitutionalized adult population, age 18 and older. 2011 Statistical Brief #331. Agency for Healthcare Research and Quality, Rockville, MD. http://www.meps.ahrq.gov/mepsweb/data_files/publications/st331/stat331.pdf.
7. Yabroff KR, Warren JL, Banthin J, Schrag D, Mariotto A, Lawrence W, et al. Comparison of approaches for estimating prevalence costs of care for cancer patients: what is the impact of data source? Med Care. 2009;47(7 Suppl 1):S64–9. doi: 10.1097/MLR.0b013e3181a23e25. [PMC free article] [PubMed]
8. Campbell JD, Ramsey SD. The costs of treating breast cancer in the US: a synthesis of published evidence. [Meta-AnalysisResearch Support, Non-U.S. Gov'tReview] Pharmacoeconomics. 2009;27(3):199–209. [PubMed]
9. National Cancer Institute Breast cancer prevention (PDQ®) 2013a Available from: http://www.cancer.gov/cancertopics/pdq/prevention/breast/Patient/page3.
10. Zambrana RE, Breen N, Fox SA, Gutierrez-Mohamed ML. Use of cancer screening practices by Hispanic women: analyses by sub-group. Prev Med. 1999;29:466–77. 6 Pt 1. [PubMed]
11. National Cancer Institute Breast cancer prevention (PDQ®) 2007 [Retrieved 2007 December 7]; Available from: http://www.cancer.gov/cancertopics/pdq/prevention/breast/Patient/.
12. Elmore JG, Armstrong K, Lehman CD, Fletcher SW. Screening for breast cancer. JAMA. 2005;293(10):1245–56. [PMC free article] [PubMed]
13. Elmore JG, Reisch LM, Barton MB, Barlow WE, Rolnick S, Harris EL, et al. Efficacy of breast cancer screening in the community according to risk level. J Natl Cancer Inst. 2005;97(14):1035–43. [PubMed]
14. Wells KJ, Roetzheim RG. Health disparities in receipt of screening mammography in Latinas: a critical review of recent literature. Cancer Control. 2007;14(4):369–79. [PubMed]
15. Vernon SW, McQueen A, Tiro JA, del Junco DJ. Interventions to promote repeat breast cancer screening with mammography: a systematic review and meta-analysis. [Meta-Analysis ResearchSupport, N.I.H., Extramural Research Support, Non-U.S. Gov't Review] J Natl Cancer Inst. 2010;102(14):1023–39. [PMC free article] [PubMed]
16. Mandelblatt JS, Cronin KA, Bailey S, Berry DA, de Koning HJ, Draisma G, et al. Effects of mammography screening under different screening schedules: model estimates of potential benefits and harms. [Research Support, N.I.H., ExtramuralResearch Support, U.S. Gov't,P.H.S.] Ann Intern Med. 2009;151(10):738–47. [PMC free article] [PubMed]
17. National Cancer Institute National Cancer Institute factsheet: mammograms. 2013b Available from: http://www.cancer.gov/cancertopics/factsheet/detection/mammograms#r1. Retrieved July 15, 2013.
18. Agency for Healthcare Research and Quality (AHRQ) Appendix F: screening for breast cancer, guide to clinical preventive services, 2012, Clinical Summary of 2002 U.S. Preventive Services Task Force Recommendation. 2012 [cited 2013 July 15]; Available from: http://www.ahrq.gov/professionals/clinicians-providers/guidelines-recommendations/guide/appendix-f.html.
19. Rodriguez MA, Ward LM, Perez-Stable EJ. Breast and cervical cancer screening: impact of health insurance status, ethnicity, and nativity of Latinas. Ann Fam Med. 2005;3(3):235–41. [PubMed]
20. Frazier EL, Jiles RB, Mayberry R. Use of screening mammography and clinical breast examinations among black, Hispanic, and white women. Prev Med. 1996;25(2):118–25. [PubMed]
21. Hubbell FA, Chavez LR, Mishra SI, Valdez RB. Differing beliefs about breast cancer among Latinas and Anglo women. West J Med. 1996;164(5):405–9. [PMC free article] [PubMed]
22. Susan G. Komen for the Cure San Diego Affiliate, Community Profile Report, 2011: 4699 Murphy Canyon Road, Suite #207, San Diego, CA 92123.
23. Castaneda SF, Malcarne VL, Foster-Fishman PG, Davidson WS, Mumman MK, Riley N, Sadler GR. Health care access and breast cancer screening among Latinas along the California-Mexican border. J Immigr Minor Health. 2013 doi: 10.1007/s10903-013-9938-x. [PMC free article] [PubMed]
24. Selden CR, Zorn M, Ratzan S, Parker RM. Health literacy. Current bibliographies in medicine. No 2000-1. Bethesda, MD: National Library of Medicine 2000 [Retrieved 2008 May 21]; Available from: http://www.nlm.nih.gov/archive//20061214/pubs/cbm/hliteracy.html.
25. Norris SL, Nichols PJ, Caspersen CJ, Glasgow RE, Engelgau MM, Jack L, et al. The effectiveness of disease and case management for people with diabetes. A systematic review. Am J Prev Med. 2002;22(4 Suppl):15–38. [PubMed]
26. Osborne RH, Batterham RW, Elsworth GR, Hawkins M, Buchbinder R. The grounded psychometric development and initial validation of the Health Literacy Questionnaire (HLQ) BMC Public Health. 2013;13(1):1–17. [PMC free article] [PubMed]
27. Kutner M, Greenberg E, Jin Y, Paulsen C. The health literacy of America’s adults: results from the 2003 National Assessment of Adult Literacy (NCES 2006-483) U.S. Department of Education. Washington, DC: National Center for Education Statistics. 2006 [Retrieved 2008 May 20]; Available from: http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2006483.
28. Dewalt DA, Berkman ND, Sheridan S, Lohr KN, Pignone MP. Literacy and health outcomes: a systematic review of the literature. J Gen Intern Med. 2004;19(12):1228–39. [PMC free article] [PubMed]
29. DeNavas-Walt C, Proctor BD, Lee CH. Income, poverty, and health insurance coverage in the United States: 2004. Current Population Reports, P60-229, U. S. Governmental Printing Office, Washington, D. C. 2005 [Retrieved 2008 January 16]; Available from: http://www.census.gov/prod/2005pubs/p60-229.pdf.
30. National Center for Educational Statistics (NCES) Status and trends in the education of racial and ethnic minorities. 2007 NCES 2007-039. Available from: http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2007039.
31. Berkman ND, Dewalt DA, Pignone MP, Sheridan SL, Lohr KN, Lux L, et al. Literacy and health outcomes. Evid Rep Technol Assess (Summ) 2004;(87):1–8. [PubMed]
32. Dewalt DA, Pignone MP. The role of literacy in health and health care. Am Fam Physician. 2005;72(3):387–8. [PubMed]
33. Baker DW, Parker RM, Williams MV, Clark WS, Nurss J. The relationship of patient reading ability to self-reported health and use of health services. Am J Public Health. 1997;87(6):1027–30. [PubMed]
34. Scott TL, Gazmararian JA, Williams MV, Baker DW. Health literacy and preventive health use among Medicare enrollees in a managed care organization. Med Care. 2005;40(5):395–404. [PubMed]
35. Davis TC, Arnold C, Berkel HJ, Nandy I, Jackson RH, Glass J. Knowledge and attitude on screening mammography among low-literate, low-income women. Cancer. 1996;78(9):1912–20. [PubMed]
36. Pignone M, DeWalt DA, Sheridan S, Berkman N, Lohr KN. Interventions to improve health outcomes for patients with low literacy. A systematic review. J Gen Intern Med. 2005;20(2):185–92. [PMC free article] [PubMed]
37. Williams MV, Baker DW, Parker RM, Nurss JR. Relationship of functional health literacy to patients’ knowledge of their chronic disease. A study of patients with hypertension and diabetes. Arch Intern Med. 1998;158(2):166–72. [PubMed]
38. Ridpath JR, Larson EB, Greene SM. Can integrating health literacy into the patient-centered medical home help us weather the perfect storm? J Gen Intern Med. 2012;27(5):588–94. [PMC free article] [PubMed]
39. Sheridan SL, Halpern DJ, Viera AJ, Berkman ND, Donahue KE, Crotty K. Interventions for individuals with low health literacy: a systematic review. J Health Commun. 2011;16(Suppl 3):30–54. [PubMed]
40. Schaefer CT. Integrated review of health literacy interventions. Orthop Nurs. 2008;27(5):302–17. [PubMed]
41. Breen N, Rao SR, Meissner HI. Immigration, health care access, and recent cancer tests among Mexican-Americans in California. J Immigr Minor Health. 2010;12(4):433–44. [PubMed]
42. Carrasquillo O, Pati S. The role of health insurance on Pap smear and mammography utilization by immigrants living in the United States. Prev Med. 2004;39(5):943–50. [PubMed]
43. Castaneda SF, Rosenbaum RP, Gonzalez P, Holscher JT. Breast and cervical cancer screening among rural midwestern Latina migrant and seasonal farmworkers. J Prim Care Community Health. 2012;3(2):104–10. [PMC free article] [PubMed]
44. Garbers S, Jessop DJ, Foti H, Uribelarrea M, Chiasson MA. Barriers to breast cancer screening for low-income Mexican and Dominican women in New York City. J Urban Health. 2003;80(1):81–91. [PMC free article] [PubMed]
45. Gaylord-Harden NK, Gipson P, Mance G, Grant KE. Coping patterns of African American adolescents: a confirmatory factor analysis and cluster analysis of the Children’s Coping Strategies Checklist. Psychol Assess. 2008;20(1):10–22. [PubMed]
46. Gelberg L, Andersen RM, Leake BD. The behavioral model for vulnerable populations: application to medical care use and outcomes for homeless people. Health Serv Res. 2000;34(6):1273–302. [PMC free article] [PubMed]
47. Gonzalez P, Castaneda SF, Mills PJ, Talavera GA, Elder JP, Gallo LC. Determinants of breast, cervical and colorectal cancer screening adherence in Mexican-American women. J Community Health. 2012;37(2):421–33. [PMC free article] [PubMed]
48. Mandelblatt JS, Gold K, O’Malley AS, Taylor K, Cagney K, Hopkins JS, Kerner J. Breast and cervix cancer screening among multiethnic women: role of age, health, and source of care. Prev Med. 1999;28(4):418–25. [PubMed]
49. Miranda PY, Tarraf W, Gonzalez P, Johnson-Jennings M, Gonzalez HM. Breast cancer screening trends in the United States and ethnicity. Cancer Epidemiol Biomarkers Prev. 2012;21(2):351–7. [PMC free article] [PubMed]
50. Nuno T, Castle PE, Harris R, Estrada A, Garcia F, Yuma Project Technical T Breast and cervical cancer screening utilization among Hispanic women living near the United States-Mexico border. J Womens Health (Larchmt) 2011;20(5):685–93. [PubMed]
51. O’Malley AS, Kerner J, Johnson AE, Mandelblatt J. Acculturation and breast cancer screening among Hispanic women in New York City. Am J Public Health. 1999;89(2):219–27. [PubMed]
52. Ortega AN, Fang H, Perez VH, Rizzo JA, Carter-Pokras O, Wallace SP, Gelberg L. Health care access, use of services, and experiences among undocumented Mexicans and other Latinos. Arch Intern Med. 2007;167(21):2354–60. [PubMed]
53. Otero-Sabogal R, Stewart S, Sabogal F, Brown BA, Perez-Stable EJ. Access and attitudinal factors related to breast and cervical cancer rescreening: why are Latinas still underscreened? Health Educ Behav. 2003;30(3):337–59. [PubMed]
54. Ramirez AG, Suarez L, Laufman L, Barroso C, Chalela P. Hispanic women’s breast and cervical cancer knowledge, attitudes, and screening behaviors. Am J Health Promot. 2000;14(5):292–300. [PubMed]
55. Sambamoorthi U, McAlpine DD. Racial, ethnic, socioeconomic, and access disparities in the use of preventive services among women. Prev Med. 2003;37(5):475–84. [PubMed]
56. Suarez L, Ramirez AG, Villarreal R, Marti J, McAlister A, Talavera GA, et al. Social networks and cancer screening in four U.S. Hispanic groups. Am J Prev Med. 2000;19(1):47–52. [PubMed]
57. Valdez A, Banerjee K, Ackerson L, Fernandez M, Otero-Sabogal R, Somkin CP. Correlates of breast cancer screening among low-income, low-education Latinas. Prev Med. 2001;33(5):495–502. [PubMed]
58. Sabatino SA, Lawrence B, Elder R, Mercer SL, Wilson KM, DeVinney B, et al. Effectiveness of interventions to increase screening for breast, cervical, and colorectal cancers: nine updated systematic reviews for the guide to community preventive services. Am J Prev Med. 2012;43(1):97–118. [PubMed]
59. Phillips CE, Rothstein JD, Beaver K, Sherman BJ, Freund KM, Battaglia TA. Patient navigation to increase mammography screening among inner city women. J Gen Intern Med. 2011;26(2):123–9. [PMC free article] [PubMed]
60. Ramirez AG, Perez-Stable EJ, Talavera GA, Penedo FJ, Carrillo JE, Fernandez ME, et al. Time to definitive diagnosis of breast cancer in Latina and non-Hispanic white women: the six cities study. Springerplus. 2013;2(1):84. [PMC free article] [PubMed]
61. Corcoran J, Dattalo P, Crowley M. Interventions to increase mammography rates among U.S. Latinas: a systematic review. J Womens Health (Larchmt) 2010;19(7):1281–8. [PubMed]
62. Doty MM. Hispanic patients’ double burden: lack of health insurance and limited English. The Commonwealth Fund. 2003 Retrieved from http://www.commonwealthfund.org/usr_doc/doty_hispanicdoubleburden_592.pdf?section=4039.
63. Salazar MK. Hispanic women’s beliefs about breast cancer and mammography. Cancer Nurs. 1996;19(6):437–46. [PubMed]
64. Brach C, Chevarley FM. Demographics and health care access and utilization of limited-English-proficient and English-proficient Hispanics. Research Findings No. 28. Agency for Healthcare Research and Quality, 2008. Rockville, MD. Retrieved from http://www.meps.ahrq.gov/papers/rf28/rf28.pdf.
65. Derose KP, Baker DW. Limited English proficiency and Latinos’ use of physician services. Med Care Res Rev. 2000;57(1):76–91. [PubMed]
66. Hu DJ, Covell RM. Health care usage by Hispanic outpatients as function of primary language. West J Med. 1986;144(4):490–3. [PMC free article] [PubMed]
67. Stein JA, Fox SA. Language preference as an indicator of mammography use among Hispanic women. J Natl Cancer Inst. 1990;82(21):1715–6. [PubMed]
68. Gorin SS, Heck JE. Cancer screening among Latino subgroups in the United States. Prev Med. 2005;40(5):515–26. [PubMed]
69. Suarez L, Pulley L. Comparing acculturation scales and their relationship to cancer screening among older Mexican-American women. J Natl Cancer Inst Monogr. 1995;18:41–7. [PubMed]
70. Borrayo EA, Gonzalez P, Swaim R, Marcus A, Flores E, Espinoza P. The Latina breast cancer screening sacle: beliefs about breast cancer and breast cancer screening. J Health Psychol. 2009;14(7):944–55. [PubMed]
71. Borrayo EA, Jenkins SR. Feeling healthy: so why should Mexican-descent women screen for breast cancer? Qual Health Res. 2001a;11(6):812–23. [PubMed]
72. Borrayo EA, Jenkins SR. Feeling indecent: breast cancer screening resistance of Mexican descent women. J Health Psychol. 2001b;6:537–50. [PubMed]
73. Chavez LR, Hubbell FA, McMullin JM, Martinez RG, Mishra SI. Structure and meaning in models of breast and cervical cancer risk factors: a comparison of perceptions among Latinas, Anglo women, and physicians. Med Anthropol Q. 1995a;9(1):40–74. [PubMed]
74. Chavez LR, Hubbell FA, McMullin JM, Martinez RG, Mishra SI. Understanding knowledge and attitudes about breast cancer. A cultural analysis Arch Fam Med. 1995;4(2):145–52. [PubMed]
75. Chavez LR, Hubbell FA, Mishra SI, Valdez RB. The influence of fatalism on self-reported use of Papanicolaou smears. Am J Prev Med. 1997;13(6):418–24. [PubMed]
76. Florez KR, Aguirre AN, Viladrich A, Cespedes A, De La Cruz AA, Abraido-Lanza AF. Fatalism or destiny? A qualitative study and interpretative framework on Dominican women’s breast cancer beliefs. J Immigr Minor Health. 2008 [PMC free article] [PubMed]
77. Perez-Stable EJ, Sabogal F, Otero-Sabogal R, Hiatt RA, McPhee SJ. Misconceptions about cancer among Latinos and Anglos. JAMA. 1992;268(22):3219–23. [PubMed]
78. Schettino MR, Hernandez-Valero MA, Moguel R, Hajek RA, Jones LA. Assessing breast cancer knowledge, beliefs, and misconceptions among Latinas in Houston. Texas J Cancer Educ. 2006;21(1 Suppl):S42–6. [PubMed]
79. Austin LT, Ahmad F, McNally MJ, Stewart DE. Breast and cervi-cal cancer screening in Hispanic women: a literature review using the health belief model. Womens Health Issues. 2002;12(3):122–8. [PubMed]
80. Hubbell FA, Mishra SI, Chavez LR, Valdez RB. The influence of knowledge and attitudes about breast cancer on mammography use among Latinas and Anglo women. J Gen Intern Med. 1997;12(8):505–8. [PMC free article] [PubMed]
81. Garces IC, Scarinci IC, Harrison L. An examination of sociocultural factors associated with health and health care seeking among Latina immigrants. J Immigr Minor Health. 2006;8(4):377–85. [PubMed]
82. Natale-Pereira A, Marks J, Vega M, Mouzon D, Hudson SV, Salas-Lopez D. Barriers and facilitators for colorectal cancer screening practices in the Latino community: perspectives from community leaders. Cancer Control. 2008;15(2):157–65. [PubMed]
83. Suarez L, Roche RA, Nichols D, Simpson DM. Knowledge, behavior, and fears concerning breast and cervical cancer among older low-income Mexican-American women. Am J Prev Med. 1997;13(2):137–42. [PubMed]
84. Balcazar H, Castro FG, Krull JL. Cancer risk reduction in Mexican American women: the role of acculturation, education, and health risk factors. Health Educ Q. 1995;22(1):61–84. [PubMed]
85. Erwin DO, Trevino M, Saad-Harfouche FG, Rodriguez EM, Gage E, Jandorf L. Contextualizing diversity and culture within cancer control interventions for Latinas: changing interventions, not cultures. Soc Sci Med. 2010;71(4):693–701. [PubMed]
86. Schmid KL, Rivers SE, Latimer AE, Salovey P. Targeting or tailoring? Mark Health Serv. 2008;28(1):32–7. [PMC free article] [PubMed]
87. Kreuter MW, Wray RJ. Tailored and targeted health communication: strategies for enhancing information relevance. Am J Health Behav. 2003;27(Suppl 3):S227–32. [PubMed]
88. Kreuter MW, Lukwago SN, Bucholtz RD, Clark EM, Sanders-Thompson V. Achieving cultural appropriateness in health promotion programs: targeted and tailored approaches. Health Educ Behav. 2003;30(2):133–46. [PubMed]
89. Navarro AM, Senn KL, McNicholas LJ, Kaplan RM, Roppe B, Campo MC. Por La Vida model intervention enhances use of cancer screening tests among Latinas. Am J Prev Med. 1998;15(1):32–41. [PubMed]
90. Nuno T, Martinez ME, Harris R, Garcia F. A Promotora-administered group education intervention to promote breast and cervical cancer screening in a rural community along the U.S.-Mexico border: a randomized controlled trial. Cancer Causes Control. 2011;22(3):367–74. [PubMed]
91. Martinez-Donate AP. Using lay health advisors to promote breast and cervical cancer screening among Latinas: a review. WMJ. 2009;108(5):259–62. [PubMed]
92. Albarran CR, Heilemann MV, Koniak-Griffin D. Promotoras as facilitators of change: Latinas’ perspectives after participating in a lifestyle behaviour intervention program. J Adv Nurs. 2014 doi: 10.1111/jan.12383. [PMC free article] [PubMed]
93. Johnson CM, Sharkey JR, Dean WR, St John JA, Castillo M. Promotoras as research partners to engage health disparity communities. J Acad Nutr Diet. 2013;113(5):638–42. [PMC free article] [PubMed]
94. Stacciarini JM, Rosa A, Ortiz M, Munari DB, Uicab G, Balam M. Promotoras in mental health: a review of English, Spanish, and Portuguese literature. Fam Community Health. 2012;35(2):92–102. [PubMed]
95. Findley S, Matos S, Hicks A, Chang J, Reich D. Community health worker integration into the health care team accomplishes the triple aim in a patient-centered medical home: a Bronx tale. J Ambul Care Manag. 2014;37(1):82–91. [PubMed]
96. Minkler M, Wallerstein N. Introduction to community-based participatory research. In: Minkler M, Wallerstein N, editors. Community-based participatory research for health. Jossey-Boss; San Francisco: 2003. pp. 3–27.
97. U.S. Census Bureau The Hispanic population: 2010, 2010 census briefs. 2013 [cited 2013 November 20]; Available from: http://www.census.gov/prod/cen2010/briefs/c2010br-04.pdf.
98. Bandura A. Social foundations of thought and action. Prentice Hall; Englewood Cliffs: 1986.
99. Guba EG, Lincoln YS. Fourth generation evaluation. Sage; Newbury Park: 1989.
100. Miles MB, Huberman AM. Qualitative data analysis: an expanded source book. Sage; Thousand Oaks: 1994.
101. Patton MQ. Qualitative evaluation and research methods. 3rd Sage; Newbury Park: 2002.
102. Poss JE. Developing an instrument to study the tuberculosis screening behaviors of Mexican migrant farmworkers. J Transcult Nurs. 1999;10(4):306–19. [PubMed]
103. Airhihenbuwa CO, Webster JD. Culture and African contexts of HIV/AIDS prevention, care and support. SAHARA J. 2004;1(1):4–13. [PubMed]
104. Hubbell FA, Chavez LR, Mishra SI, Magana JR, Burciaga Valdez R. From ethnography to intervention: developing a breast cancer control program for Latinas. J Natl Cancer Inst Monogr. 1995;18:109–15. [PubMed]
105. National Institute for Literacy Research-based health literacy materials and instruction guide: beginning ABE and ESL levels. 2012 [Retrieved 2012 Ju ne 30]; Available from: http://healthliteracynetwork.org/materials.
106. Helitzer D, Hollis C, Cotner J, Oestreicher N. Health literacy demands of written health information materials: an assessment of cervical cancer prevention materials. Cancer Control. 2009;16(1):70–8. [PubMed]
107. Hill-Briggs F, Smith AS. Evaluation of diabetes and cardiovascular disease print patient education materials for use with low-health literate populations. Diabetes Care. 2008;31(4):667–71. [PubMed]
108. Castañeda SF, Xiong Y, Gallo LC, Yepes-Rios M, Ji M, Talavera AC, et al. Colorectal cancer educational intervention targeting Latino patients attending a community health center. J Primary Care Commun Health. 2012;3(3):164–9. [PMC free article] [PubMed]
109. Sadler GR, Gonzalez J, Mumman M, Cullen L, Lahousse SF, Malcarne V, et al. Adapting a program to inform African American and Hispanic American women about cancer clinical trials. J Cancer Educ. 2010;25(2):142–5. [PMC free article] [PubMed]
110. Resnicow K, Baranowski T, Ahluwalia JS, Braithwaite RL. Cultural sensitivity in public health: defined and demystified. Ethn Dis. 1999;9(1):10–21. [PubMed]
111. Marin G, Marin BV. Research with Hispanic populations. Sage; Newbury Park: 1991.
112. Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004;36(8):588–94. [PubMed]
113. Castaneda SF, Holscher J, Mumman MK, Salgado H, Keir KB, Foster-Fishman PG, Talavera GA. Dimensions of community and organizational readiness for change. Prog Community Health Partnersh. 2012;6(2):219–26. [PMC free article] [PubMed]
114. Weiss BD, Mays MZ, Martz W, Castro KM, DeWalt DA, Pignone MP, et al. Quick assessment of literacy in primary care: the newest vital sign. Ann Fam Med. 2005;3(6):514–22. [PubMed]
115. Bird Y, Moraros J, Banegas MP, King S, Prapasiri S, Thompson B. Breast cancer knowledge and early detection among Hispanic women with a family history of breast cancer along the U.S.-Mexico border. J Health Care Poor Underserved. 2010;21(2):475–88. [PMC free article] [PubMed]
116. Glasgow RE, McKay HG, Piette JD, Reynolds KD. The RE-AIM framework for evaluating interventions: what can it tell us about approaches to chronic illness management? Patient Educ Couns. 2001;44(2):119–27. [PubMed]
117. Glasgow RE, Nelson CC, Strycker LA, King DK. Using RE-AIM metrics to evaluate diabetes self-management support interventions. Am J Prev Med. 2006;30(1):67–73. [PubMed]
118. Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM frame-work. Am J Public Health. 1999;89(9):1322–7. [PubMed]
119. Philis-Tsimikas A, Fortmann A, Lleva-Ocana L, Walker C, Gallo LC. Peer-led diabetes education programs in high-risk Mexican Americans improve glycemic control compared with standard approaches: a project Dulce promotora randomized trial. Diabetes Care. 2011;34(9):1926–31. [PMC free article] [PubMed]
120. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M, Medical Research Council G Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008;337:a1655. [PubMed]
121. Saunders RP, Evans MH, Joshi P. Developing a process-evaluation plan for assessing health promotion program implementation: a how-to guide. Health Promot Pract. 2005;6(2):134–47. [PubMed]
122. Steckler A, Linnan L. Process evaluation for public health interventions and research. Jossey-Bass; San Francisco: 2002.
123. Cohen J, Cohen P, West S, Aiken L. Applied multiple regression/correlation analysis for the behavioral sciences. 3rd Lawrence Erlbaum Associates; Hillsdale: 2003.
124. Kleinbaum DG, Kupper LL, Nizam A, Muller KE. Applied regression analysis and multivariable methods. 4th Duxbury; Pacific Grove: 2007.
125. Fernandez ME, Savas LS, Lipizzi E, Smith JS, Vernon SW. Cervical cancer control for Hispanic women in Texas: strategies from research and practice. Gynecol Oncol. 2014;132(Suppl 1):S26–32. [PMC free article] [PubMed]