Abstract
Background:
Obesity is a critical modifiable risk factor in cancer prevention, control, and survivorship. Comprehensive weight loss interventions (e.g. Diabetes Prevention Program (DPP)) have been recommended by governmental agencies to treat obesity. However, their high implementation costs limit their reach, especially in underserved African American (AA) communities. Community health workers (CHWs) or trusted community members can help increase access to obesity interventions in underserved regions facing provider shortages. CHW-led interventions have been shown to increase weight loss. However, in-person CHW training can be costly to deliver and often requires extensive travel to implement. Web-based trainings have become common to increase reach at reduced cost. However, the feasibility of an online CHW training to deliver the DPP in AAs is unknown.
Methods:
The feasibility of an online CHW training to deliver the DPP adapted for AAs was assessed. The online training was compared to an in-person DPP training with established effectiveness. CHW effectiveness and satisfaction were assessed at baseline and 6-weeks.
Results:
Nineteen participants (in-person n=10; online n=9) were recruited. At post-training, all scored higher than the 80% on a knowledge test required to deliver the intervention. All participants reported high levels of training satisfaction (88.9% of online participants and 90% of in-person participants rated the training as at least 6 on a 1–7 scale) and comfort to complete intervention tasks (78% of online participants and 60% of in-person participants scored at least 6 on a 1–7 scale). There were no significant differences in outcomes by arm.
Discussion:
An online CHW training to deliver the DPP adapted for AAs faith communities produced comparable effectiveness and satisfaction to an evidence-based in-person CHW training. Further research is needed to assess the cost-effectiveness of different CHW training modalities to reduce obesity.
Keywords: Community health workers, training, weight loss, rural, African American, faith
BACKGROUND
Excess body weight is a critical modifiable risk factor for numerous cancers1–3 and one of the top public health problems in the country.4–6 Adiposity is associated with increased cancer incidence, cancer mortality, and poorer prognosis at diagnosis1–3. Underserved groups, such as African American (AA) and rural residents bear a disproportionate burden6–8. A myriad of social factors, including racism, poverty, and lack of educational and economic opportunities9,10 have contributed to the disproportionate burden of obesity in rural AAs.
Behavioral weight loss interventions (e.g. Diabetes Prevention Program (DPP)) have been recommended by several governmental agencies11,12 to treat obesity and improve cancer risk, control, and survivorship.3. These intensive 6–12 month interventions have caused an average weight loss of 2.9 kg in AA adults13, reduce the risk of chronic diseases associated with obesity14, and have maintained weight loss for 48 months14. Despite the ability of the DPP and similar interventions to produce and sustain weight loss in AAs, health care provider shortages in underserved areas have resulted in access gaps. The high cost of implementing comprehensive behavioral weight loss interventions (e.g. delivery by health professionals, in-person intervention delivery) limits their reach, adoption, and sustainability15. This high cost is particularly prohibitive for DPP implementation among underserved communities15.
Strategies to reduce cost and maximize spread of the DPP have included training community health workers (CHWs). CHWs are community members who are not health professionals but have been trained to some extent to serve as a bridge between communities and health care services16. CHWs’ effectiveness in disease prevention and health promotion—including behaviors associated with weight loss and cancer17,18—has led to the World Health Organization’s promotion of integrating CHWs in health systems19. CHWs have been used to scale-up health interventions in underserved areas16,19,20, and several DPP-adapted interventions delivered by CHWs have reported significant weight loss among samples including AA13,21.
In-person training strategies of CHWs have been the norm19, but web-based trainings have become increasingly common to increase training reach—particularly in low-resource areas where face-to-face training is limited due to the considerable distance between training sites and CHWs, fewer number of trainers, and lower internet access19,20,22. One randomized controlled trial that tested a web-based training for CHWs to deliver a tobacco cessation intervention reported no differences in CHW outcomes (knowledge, self-efficacy, intervention delivery frequency) by training modality (in-person vs. web-based)23. In other studies, CHWs reported that learning computer skills was a training barrier and that web-based trainings did not facilitate the same level of interaction between CHWs and the project compared to in-person trainings19,24.
Purpose
Prior studies have not tested the feasibility of an online training to equip CHWs to deliver the DPP adapted for rural AAs. Thus the study tested the feasibility of an online training designed to enable CHWs to deliver the DPP for those who bear a disproportionate obesity burden—rural AA adults. The feasibility of the online CHW training was compared to an in-person CHW DPP weight loss training with established effectiveness25. The study’s central hypothesis was that compared to an in-person training, an online training of CHWs would result in equivalent effectiveness (user’s accurate and comprehensive completion of tasks) and satisfaction (user’s comfort and acceptance). The online training was also hypothesized to be attractive (e.g. capture users attention) to users.
METHODS
Setting and Partnerships
The study took place in the Arkansas Delta, a predominately rural region bordering the Mississippi River in eight states26. An estimated 16–22% of households in the Delta have incomes below the federal poverty level27. It is well established that rates of chronic disease are higher in the Delta than the rest of the nation, with Delta counties having higher rates of obesity compared to non-Delta counties28.
The study built on a 14-year collaboration between Dr. Yeary and a Community Advisory Board known as the Faith Task Force, which has received federal funding for behavioral change interventions for over a decade21,25. One of the projects the Faith Task Force led was The WORD (Wholeness, Oneness, Righteousness, Deliverance), a 5-year cluster-randomized effectiveness trial of the DPP translated for rural AA adults of faith. The WORD’s effectiveness was tested among 440 AA participants nested in 31 black churches. Trained CHWs (n=61) delivered the group-based intervention, which consisted of 16 core lessons and 12 maintenance lessons. The WORD produced significant weight loss from baseline to 6-month follow-up in participants [−2.47% (−3.13%, −1.80%); 21.8% losing at least 5% (clinically significant weight loss)] that is comparable to the weight loss produced in AAs by other DPP adaptations13. The in-person training of CHWs for The WORD was used in the current study as the comparison to the online CHW training. CHWs for The WORD’s effectiveness trial reported high levels of training satisfaction (6.68 (range of 1=low, 7=high)) and self-efficacy (6.35 (range of 1=low, 7=high)) to deliver program components, in addition to program fidelity (average composite fidelity scores was 25 (range of 6=low, 30=high).
Recruitment
The team’s preexisting networks throughout the Arkansas Delta region were engaged to recruit 20 participants. Eligibility criteria included: 1) aged 18 and older; 2) AA; and 3) no previous CHW training. The team recruited participants using personal contacts, flyers, and announcements to community organizations. Computer-based, rolling randomization was used to assign participants to the in-person or on-line training.
Training
Participants in both arms were trained within a 6-week timeframe. Each participant who completed the training received a total of $200. All participants were assessed at baseline and 6-weeks (post-training) and received compensation (baseline=$10, follow-up=$20).
In-person Training
Participants randomized to the in-person training received the training from The WORD (Table 1). The WORD’s training of CHWs is entirely in-person and consists of 7 sessions (15–18 hours total) delivered over 4–6 weeks25.
Table 1.
Trainee demographic characteristics (n=19)
| Percentage (n) | |
|---|---|
| Female | 89% (17) |
| Age (years) (mean, SD) | 57.2 (9.2) |
| African American | 100% (19) |
| Hispanic or Latino (yes) | 0% (0) |
| Other | 15.8% (3) |
| High school or more | 63.2% (12) |
| $25,000-or more | 52.6% (10) |
| Other | 52.6% (10) |
| Other | 36.8 (7) |
| Household size (mean, SD) | 2.1 (0.85) |
The training was delivered by a Master Trainer certified by the Centers of Disease Control (CDC) to train others to deliver the DPP. The Master Trainer used a training-of-trainers model that incorporated didactic education, experiential learning, trainee practice, and written and verbal feedback to train CHWs to facilitate the intervention. The training builds knowledge about obesity and health, obesity-related health behaviors, and behavioral strategies through experiential learning. The training also includes a description of the CHW and social support and network models, in addition to skills in group facilitation, leadership, communication, and behavior change promotion. Mastering of training content is confirmed through CHWs scoring 80% or higher on quizzes and demonstrating appropriate lesson delivery to the Master Trainer.
Online CHW DPP Training
Previous work in the use of technology in weight change from the literature29 and the team’s expertise in behavior change using e-learning tools29 was used to adapt The WORD’s in-person training to an online training. The online training consists of 9 training sessions, with the first and last training session delivered by The Master Trainer in person. The first in-person training session consists of an overview of the online training platform, any needed instruction in basic computer skills to access and complete the training (e.g. uploading files), and a summary of trainings topics. After receiving the in-person introduction to the training, CHWs receive a weblink via email to the interactive online training delivered through Coursesites. To mirror the in-person training content, the online training consists of 7 sessions. Each session includes animated slide presentations30, videos by investigators to explain concepts (total duration of all videos: 2 hours and 23-minutes total), assignments, and quizzes to verify mastery of module concepts. The CHWs were directed to complete the sessions in sequential order and were required to score at least an 80% on quizzes to advance to subsequent modules. CHWs were asked to complete the online training in 4 weeks. The final in-person training session was then delivered by the Master Trainer at least 2 weeks within online training completion, whereby CHWs practiced delivering intervention lessons. The final in-person training session was delivered either in group or individual formats.
Assessment
In addition to participant characteristics, the following attributes of usability were assessed: effectiveness (user’s accurate and comprehensive completion of tasks), satisfaction (user’s comfort and acceptance), and attractiveness of online platform only (attracting the user’s attention)31. The Master Trainer administered all assessments. To minimize any pressure participants may have felt to assess the training positively, the Master Trainer left the room when participants completed the anonymous assessments and placed assessments in an envelope. All measurements were assessed at baseline and 6-weeks follow-up unless otherwise stated.
Participant characteristics
Demographics of gender, age, race/ethnicity, education, marital status, employment, income, household size, and health insurance were assessed through self-report at baseline only. Computer self-efficacy was assessed by a 14-item scale32. Respondents selected the level of confidence they felt completing computer-related tasks (e.g. copying a file, using a printer). Likert responses ranged from 1=Very little confidence, to 5=Quite a lot of confidence. The 14 items were summed to create a total computer confidence score for each respondent, ranging from 14 (low) to 70 (high).
Effectiveness
Content knowledge needed for CHWs to deliver the intervention was assessed using a 21-item quiz previously used in The WORD studies21,25. The multiple choice quiz assesses knowledge regarding the intervention’s goals (i.e. weight loss, healthy eating, physical activity), rationale of the goals, leading groups, self-monitoring, and safety. Participants were required to score at least an 80% on the quiz to complete the training.
Satisfaction
Multiple domains of training satisfaction were assessed. Participants in both arms were asked about their comfort in delivering intervention components through indicating their level of comfort in completing 11 intervention delivery tasks (e.g. delivering the lessons, giving feedback to track books, checking in and weighing group members, etc.). Likert responses ranged from 1=Not at all comfortable, to 7=Very comfortable. Participants were also asked how comfortable they felt overall with their role as a CHW.
Participants were also asked about their overall opinion of the training through a single item, with Likert responses ranging from 1=Not very well at all, to 7=Very well. Training length was assessed by asking participants whether they thought the training should have been longer, shorter, or the same. Time spent in training was also captured by the Master Trainer (in-person arm) or computer platform (on-line arm). All trainees rank ordered training aspects. Those in the in-person arm rank ordered their training aspects (i.e. presentations, keeping track, delivering program lesson, demonstrations, interactions with trainer, interacting with other trainees) from 1=6, with 1=Liked that part of the training the best, to 6=Liked that part of the training the least. Participants in the online training arm were asked to rank order aspects of their training (i.e. videos, tests, in-person training) from 1 to 3, with 1=Liking it the least, and 3=Liking it the best.
In the in-person arm, participants were asked the degree they were satisfied with materials received at training and with their Master Trainer, with Likert responses ranging from 1=Not at all satisfied, to 4=Very Satisfied. In the online arm, participants were also asked their degree of satisfaction with specific online training components, including the training videos, tests, in-person sessions, and the online training platform. Likert responses ranged from 1=Not at all satisfied, to 4=Very satisfied.
In the online arm only, ease of moving through the online training was assessed by a single item that asked participants how difficult it was to move through the training, with Likert responses ranging from 1=Not difficult at all to 4=Very difficult.
Attractiveness
Visual appeal of the online training was assessed in online arm participants only and included four questions assessing the degree to which different training components (i.e. videos, tests, in-person session, overall training platform) captured the user’s attention33. Likert responses ranged from 1=Did not capture my attention at all to 4=Captured my attention a lot.
RESULTS
Participant Characteristics
Demographics are reported in Table 1. All participants were AA and majority female (89%), with an average age of 57.2 (SD=9.2) years. Most trainees were married (84.2%); more than half were employed (63.2%), had at least a high school education (63.2%), and an income greater than $25,000 (52.6%).
On average, CHWs in the in-person training reported an average total computer efficacy score of 42.6 (SD=18.3) out of 70 at baseline and an average score of 54.5 (SD=18.1) during follow-up (i.e., average change score of 11.9). The online trainees reported an average total computer efficacy score of 56.2 (SD=13.1) at baseline and an average score of 59.0 (SD=8.2) during follow-up. This produced an average change score of 2.8 among the online trainees. There were no statistical differences in the average change scores of computer efficacy by treatment arm (p =0.249).
Effectiveness
Regarding content knowledge, CHWs at baseline who completed the in-person training (n=10) scored an average of 12.0 (SD=2.3) questions correctly (out of 21) on The WORD’s CHW training quiz (57%; not meeting the passable score of at least 80%). At follow-up, CHWs in the in-person training arm scored an average of 18.9 (SD=1.9) questions correctly (90%), a significant within arm increase (p=0.002).
CHWs in the online training arm (n=9) scored an average of 11.0 (SD=2.1) questions correctly out of 21 at baseline (52%); at follow-up CHWs scored an average of 17.0 (SD=3.2) questions (81%). The within-arm change from baseline to follow-up was statistically significant (p=0.004). There were no statistical differences between arms in content knowledge at baseline or follow-up.
Satisfaction
Comfort completing intervention tasks is reported in Table 2. A total of 60% of CHWs in the in-person arm reported a high level of comfort (6 or 7) overall in delivering the DPP and its specific components. Nearly all reported high levels of comfort (6 or 7) checking in intervention participants (WORD group members), identifying moderate physical activity, and in graphing body weight. About one third reported moderate levels comfort (4 or 5) recruiting participants, providing self-monitoring feedback, leading physical activity, completing records, and helping discouraged participants.
Table 2.
Trainee comfort in completing intervention delivery components by training modality (1=not at all comfortable, 7=very comfortable) (n=19)
| In-person (n=10) % (N) |
Online (n=9) % (N) |
|
|---|---|---|
| Comfort Overall | ||
| 3 or less | 10% (1) | 0 |
| 4 or 5 | 30% (3) | 22.2% (2) |
| 6 or more | 60% (6) | 77.8% (7) |
| Recruiting participants | ||
| 3 or less | 10% (1) | 0 |
| 4 or 5 | 30% (3) | 33.3% (3) |
| 6 or more | 60% (6) | 66.6% (6) |
| Delivering The WORD program lessons | ||
| 3 or less | 10% (1) | 0 |
| 4 or 5 | 20% (2) | 44.4% (4) |
| 6 or more | 70% (7) | 55.5% (5) |
| Giving feedback on group members’ WORD Track Books | ||
| 3 or less | 10% (1) | 0 |
| 4 or 5 | 30% (3) | 55.5% (5) |
| 6 or more | 60% (6) | 44.4% (4) |
| Checking in your WORD group members | ||
| 3 or less | 10% (1) | 0 |
| 4 or 5 | 0 | 22.2% (2) |
| 6 or more | 90% (9) | 77.7% (7) |
| Figuring out what counts as moderate physical activity | ||
| 3 or less | 0 | 0 |
| 4 or 5 | 20% (2) | 11.1% (1) |
| 6 or more | 80% (8) | 88.8% (8) |
| Helping group members graph weight | ||
| 3 or less | 10% (1) | 0 |
| 4 or 5 | 10% (1) | 33.3% (3) |
| 6 or more | 80% (8) | 66.6% (6) |
| Encouraging discussion between your WORD group members | ||
| 3 or less | 10% (1) | 0 |
| 4 or 5 | 20% (2) | 22.2% (2) |
| 6 or more | 70% (7) | 77.7% (7) |
| Leading physical movement | ||
| 3 or less | 0 | 0 |
| 4 or 5 | 30% (3) | 33.3% (3) |
| 6 or more | 70% (7) | 66.6% (6) |
| Completing records on a regular basis (WORD Leader Logs) | ||
| 3 or less | 0 | 0 |
| 4 or 5 | 40% (4) | 33.3% (3) |
| 6 or more | 60% (6) | 66.6% (6) |
| Helping discouraged WORD group members stick with the program | ||
| 3 or less | 10% (1) | 0 |
| 4 or 5 | 30% (3) | 11.1% (1) |
| 6 or more | 60% (6) | 88.9% (8) |
The majority of CHWs in the online arm reported high levels of comfort (6 or 7) overall and in all intervention delivery components except delivery of lessons and providing self-monitoring feedback, where about half of CHWs reported high comfort levels. Nearly all CHWs reported high levels of comfort (6 or 7) ascertaining moderate physical activity and the ability to encourage discouraged group members to stick with the program. About a third reported moderate levels of comfort (4 or 5) recruiting participants, helping group members graph weight, leading physical activity, and completing CHW logs. There were no statistical differences by overall and task-specific comfort by arm.
Nine out of ten participants in the in-person training arm rated the overall training the maximum score of 7. One rated the training a 5. In the online training arm, a total of six out of nine rated the overall training the maximum score of 7. Two trainees rated the training a 6, with one trainee rating the training a 5. There were no statistical differences in overall training satisfaction by arm.
On average, in-person CHWs spent 10 hours to complete the training (time spent). A total of six participants thought the training length should remain the same. A total of three trainees reported that the training length should be longer. On average, CHWs in the online training arm completed the entire course in 6.5 hours (SD=3.3), opened the course 168 times (SD=74), opened the resources folder 1.3 times (SD=1.9), and took the tests an average 2.1 times (SD=2.7) for each module before moving to the next section. The majority (n=7) reported that the training length should remain the same.
In rank ordering training aspects, in-person arm trainees gave the highest ranking to interactions with their trainer (n=4), followed by interaction with other CHWs (n=3), presentations (n=3), practice keeping track (n=2), practice delivering lessons (n=1), and demonstrations (n=1). In the online arm, four trainees ranked the in-person sessions as the aspect of the training they liked the most, followed by the tests (n=3) and videos (n=1).
The majority of trainees (9 out of 10) in the in-person arm reported a high degree of satisfaction with both the trainer and the materials: A total of 9 out of 10 were very satisfied with their trainer, and 8 out of 10 were very satisfied with the materials. The degree of satisfaction with various online training components is reported in Table 4, in addition to trainee’s perceived ease of movement through the online training. The majority of CHWs in the online arm reported being either somewhat satisfied (n=4) or very satisfied (n=4) with the videos, tests, in-person sessions, and training platform. Regarding the ease of movement through the online training, the majority (n=6) reported the training was a little difficult to move through. Three reported it was not at all difficult.
Attractiveness
Visual appeal of various online training components is reported in Table 3. More than half (n=5) of the CHWs in the online arm reported that the videos captured their attention a lot while the remainder (n=4) reported they captured their attention somewhat. Six out of nine trainees reported that the tests captured their attention a lot and the other three trainees reported that the tests captured their attention somewhat. Five online trainees reported that the in-person sessions captured their attention somewhat while the other four reported that the in-persons sessions captured their attention a lot. Overall online CHWs reported that the online platform captured their attention, with the majority (n=7) reporting the platform captured their attention a lot, and the others (n=3) reporting it captured their attention somewhat.
Table 3.
Trainee satisfaction, appeal, and ease of the online training (n=9)
| Satisfaction with training videos | % (N) |
|---|---|
| Not at all satisfied | 0 |
| A little satisfied | 111 (1) |
| Somewhat satisfied | 44.4 (4) |
| Very Satisfied | 44.4 (4) |
| Satisfaction with training tests | |
| Not at all satisfied | 0 |
| A little satisfied | 11.11 (1) |
| Somewhat satisfied | 44.4 (4) |
| Very Satisfied | 44.4 (4) |
| Satisfaction with training in-person sessions | |
| Not at all satisfied | 0 |
| A little satisfied | 111 (1) |
| Somewhat satisfied | 44.4 (4) |
| Very Satisfied | 44.4 (4) |
| Satisfaction with online platform | |
| Not at all satisfied | 0 |
| A little satisfied | 111 (1) |
| Somewhat satisfied | 44.4 (4) |
| Very Satisfied | 44.4 (4) |
| To what extent did the training videos capture your attention | |
| Did not capture my attention at all | 0 |
| Captured my attention a little | 0 |
| Captured my attention somewhat | 44.4 (4) |
| Captured my attention a lot | 55.6 (5) |
| To what extent did the tests capture your attention | |
| Did not capture my attention at all | 0 |
| Captured my attention a little | 0 |
| Captured my attention somewhat | 33.3 (3) |
| Captured my attention a lot | 66.7 (6) |
| To what extent did the in-person sessions capture your attention | |
| Did not capture my attention at all | 0 |
| Captured my attention a little | 0 |
| Captured my attention somewhat | 55.6 (5) |
| Captured my attention a lot | 44.4 (4) |
| To what extent did the overall training platform capture your attention | |
| Did not capture my attention at all | 0 |
| Captured my attention a little | 0 |
| Captured my attention somewhat | 33.3 (2) |
| Captured my attention a lot | 77.8 (7) |
| How difficult was it to move through the online training | |
| Not at all difficult | 33.3 (3) |
| A little difficult | 66.7 (6) |
| Somewhat difficult | 0 |
| Very difficult | 0 |
DISCUSSION
The effectiveness and satisfaction of an online-training for CHWs to deliver an evidence-based adaptation of the DPP for rural AAs of faith was compared to an in-person CHW training with established effectiveness. There were no statistical differences in content knowledge, comfort completing intervention tasks, and training satisfaction by training arm. CHWs in the online training arm also reported high levels of attractiveness of the training platform. An online-version of a CHW training to deliver the DPP adapted for rural, underserved communities may be a feasible and more scalable alternative to traditional in-person CHW training approaches.
In a recent review of CHW-led DPP interventions, Hill et al.34 report that online CHW trainings do not presently exist, and conclude that more specific information regarding what CHW trainings need to entail to maximize outcomes is needed. Several online CHW trainings targeting behaviors other than the DPP have reported user feasibility and satisfaction in the areas of cancer prevention35, mental health36, cardiovascular disease management24, and smoking23. To the authors’ knowledge, comparing an online vs. in-person CHW training with subsequent intervention delivery to compare behavioral outcomes has not been done. This study adds to the current literature of CHW training by providing evidence for the feasibility of an online CHW training to deliver a comprehensive evidence-based weight loss intervention.
Limitations
Limitations of the study include the study’s small sample size, which may have precluded the power to detect significant differences. Future, larger scale studies would be needed to test the online training’s effectiveness in causing weight loss and related outcomes in the context of DPP delivery. Comparing the cost-effectiveness of both training methods (online vs. in-person) would also advance the literature.
Implications for practice and research
Currently, dissemination of the DPP is a national priority as the U.S. Centers of Medicare and Medicaid Services (CMS) provides reimbursement to participants enrolled in Centers for Disease Control (CDC) certified sites to deliver the DPP37. Currently, nearly 1700 sites across the U.S. offer the DPP, including state departments of health38. Typically sites partner with or include healthcare systems and providers in CDC-certified hospitals and clinics; however, some sites39 have expressed concern that these healthcare-based programs are not reaching groups at highest risk for obesity (e.g. rural AAs). Integrating CHWs to reach those who do not have ready access to the healthcare system has the potential to facilitate broader scale-up of the DPP, particularly in areas with limited resources. CHWs have already successfully filled gaps between evidence and practice in numerous areas and have the potential to sustain interventions in underserved communities17,18. Already successfully proven to cause weight loss at the participant level40, online approaches to train CHWs have the potential to increase reach, adoption, and sustainability of weight loss interventions like the DPP15, and mitigate evidence-based interventions’ high cost to promote health among those who need it the most.
Acknowledgements:
The study was funded by University of Arkansas for Medical Sciences and University of Tennessee Health Science Center CORNET Awards in Cancer. The authors also thank Jerome Turner, M.Div. and the Faith Task Force for their invaluable work and feedback.
Footnotes
Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of a an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.
REFERENCES
- 1.Kyrgiou M, Kalliala I, Markozannes G, et al. Adiposity and cancer at major anatomical sites: umbrella review of the literature. Bmj. 2017;356:j477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Iyengar NM, Hudis CA, Dannenberg AJ. Obesity and cancer: local and systemic mechanisms. Annu Rev Med. 2015;66:297–309. [DOI] [PubMed] [Google Scholar]
- 3.Goodwin PJ, Stambolic V. Impact of the obesity epidemic on cancer. Annu Rev Med. 2015;66:281–296. [DOI] [PubMed] [Google Scholar]
- 4.Zylke JW, Bauchner H. The Unrelenting Challenge of Obesity. Jama. 2016;315(21):2277–2278. [DOI] [PubMed] [Google Scholar]
- 5.Williams EP, Mesidor M, Winters K, Dubbert PM, Wyatt SB. Overweight and Obesity: Prevalence, Consequences, and Causes of a Growing Public Health Problem. Curr Obes Rep. 2015;4(3):363–370. [DOI] [PubMed] [Google Scholar]
- 6.Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. Jama. 2016;315(21):2284–2291. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hales CM, Fryar CD, Carroll MD, Freedman DS, Aoki Y, Ogden CL. Differences in Obesity Prevalence by Demographic Characteristics and Urbanization Level Among Adults in the United States, 2013–2016. Jama. 2018;319(23):2419–2429. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lundeen EA, Park S, Pan L, O’Toole T, Matthews K, Blanck HM. Obesity Prevalence Among Adults Living in Metropolitan and Nonmetropolitan Counties — United States, 2016. MMWR Morb Mortal Wkly Rep. 2018;67:653–658. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Service USDoAER. Rural Poverty and Well-Being: Geography of Poverty. 2013–2014.
- 10.Harris RP, Worthen D. African Americans in Rural America. Challenges for rural America in the twenty-first century. 2003:32–42. [Google Scholar]
- 11.Panel TOSaACoCAHATFoPGBoasrftTOE. Executive summary: Guidelines (2013) for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Obesity Society Obesity (Silver Spring). 2014;22(Suppl 2):S5–39. [DOI] [PubMed] [Google Scholar]
- 12.Leblanc ES, O’Connor E, Whitlock EP, Patnode CD, Kapka T. Effectiveness of primary care-relevant treatments for obesity in adults: a systematic evidence review for the U.S. Preventive Services Task Force. Ann Intern Med. 2011;155(7):434–447. [DOI] [PubMed] [Google Scholar]
- 13.Samuel-Hodge CD, Johnson CM, Braxton DF, Lackey M. Effectiveness of Diabetes Prevention Program translations among African Americans. Obes Rev. 2014;15 Suppl 4:107–124. [DOI] [PubMed] [Google Scholar]
- 14.Wing RR. Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: four-year results of the Look AHEAD trial. Arch Intern Med. 2010;170(17):1566–1575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Wing RR, Crane MM, Thomas JG, Kumar R, Weinberg B. Improving weight loss outcomes of community interventions by incorporating behavioral strategies. Am J Public Health. 2010;100(12):2513–2519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Cometto G, Ford N, Pfaffman-Zambruni J, et al. Health policy and system support to optimise community health worker programmes: an abridged WHO guideline. Lancet Glob Health. 2018;6(12):e1397–e1404. [DOI] [PubMed] [Google Scholar]
- 17.Kim K, Choi JS, Choi E, et al. Effects of Community-Based Health Worker Interventions to Improve Chronic Disease Management and Care Among Vulnerable Populations: A Systematic Review. Am J Public Health. 2016;106(4):e3–e28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ayala GX, Vaz L, Earp JA, Elder JP, Cherrington A. Outcome effectiveness of the lay health advisor model among Latinos in the United States: an examination by role. Health Educ Res. 2010;25(5):815–840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.(WHO) WHO. WHO guideline on health policy and system support to optimize community health worker programmes. Geneva: World Health Organization. 2018. [PubMed] [Google Scholar]
- 20.Winters N, Langer L, Geniets A. Scoping review assessing the evidence used to support the adoption of mobile health (mHealth) technologies for the education and training of community health workers (CHWs) in low-income and middle-income countries. BMJ Open. 2018;8(7):e019827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yeary KHK, Cornell CE, Turner J, et al. Feasibility test of an evidence-based weight loss intervention translated for a faith-based, rural, African American population. Preventing Chronic Disease. 2011;8(6):1–12. [PMC free article] [PubMed] [Google Scholar]
- 22.O’Brien MJ, Squires AP, Bixby RA, Larson SC. Role development of community health workers: an examination of selection and training processes in the intervention literature. Am J Prev Med. 2009;37(6 Suppl 1):S262–269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Muramoto ML, Hall JR, Nichter M, et al. Activating lay health influencers to promote tobacco cessation. Am J Health Behav. 2014;38(3):392–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Abdel-All M, Putica B, Praveen D, Abimbola S, Joshi R. Effectiveness of community health worker training programmes for cardiovascular disease management in low-income and middle-income countries: a systematic review. BMJ Open. 2017;7(11):e015529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Yeary KH, Cornell CE, Prewitt E, et al. The WORD (Wholeness, Oneness, Righteousness, Deliverance): design of a randomized controlled trial testing the effectiveness of an evidence-based weight loss and maintenance intervention translated for a faith-based, rural, African American population using a community-based participatory approach. Contemp Clin Trials. 2015;40:63–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.McCloskey AH, Woolwich J, Holahan D. Reforming the Health Care System: State Profiles 1995. In. Washington, DC: American Association of Retired Persons; 1995:20–104. [Google Scholar]
- 27.Pamuk E, Maduc D, Heck H, Reuben C, Lochner K. Socioeconomic status and health chartbook. Health, United States. In. Hyattsville, MD: National Center for Health Statistics; 1998. [Google Scholar]
- 28.Winters S, Magalhaes L, Kinsella EA. Interprofessional collaboration in mental health crisis response systems: a scoping review. Disabil Rehabil. 2015;37(23):2212–2224. [DOI] [PubMed] [Google Scholar]
- 29.Babenko-Mould Y, Andrusyszyn MA, Goldenberg D. Effects of computer-based clinical conferencing on nursing students’ self-efficacy. J Nurs Educ. 2004;43(4):149–155. [DOI] [PubMed] [Google Scholar]
- 30.P. L Create Awesome Videos & Presentations. 2012–2018.
- 31.Van Nuland SE, Eagleson R, Rogers KA. Educational software usability: Artifact or Design? Anat Sci Educ. 2017;10(2):190–199. [DOI] [PubMed] [Google Scholar]
- 32.Khorrami-Arani O Researching computer self-efficacy. International Educational Journal. 2001;2(4):17–25. [Google Scholar]
- 33.Chu A, Huber J, Mastel-Smith B, Cesario S. “Partnering with Seniors for Better Health”: computer use and Internet health information retrieval among older adults in a low socioeconomic community. J Med Libr Assoc. 2009;97(1):12–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Hill J, Peer N, Oldenburg B, Kengne AP. Roles, responsibilities and characteristics of lay community health workers involved in diabetes prevention programmes: A systematic review. PLoS One. 2017;12(12):e0189069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Cueva K, Revels L, Cueva M, et al. Culturally-Relevant Online Cancer Education Modules Empower Alaska’s Community Health Aides/Practitioners to Disseminate Cancer Information and Reduce Cancer Risk. J Cancer Educ. 2018;33(5):1102–1109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Gayed A, LaMontagne AD, Milner A, et al. A New Online Mental Health Training Program for Workplace Managers: Pre-Post Pilot Study Assessing Feasibility, Usability, and Possible Effectiveness. JMIR Ment Health. 2018;5(3):e10517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.https://www.cdc.gov/diabetes/prevention/lifestyleprogram/2017. PCRfCr.
- 38.CfDCa P. Registry of recognized organizations. In. https://nccd.cdc.gov/DDT_DPRP/Registry.aspx2017.
- 39.Health ADo. Personal communication. In: https://www.healthy.arkansas.gov/; 2019.
- 40.Tate DF, Wing RR, Winett RA. Using Internet technology to deliver a behavioral weight loss program. Jama. 2001;285(9):1172–1177. [DOI] [PubMed] [Google Scholar]
