Constructs from the Consolidated Framework for Implementation Research associated with church enrollment and intervention adoption in a national implementation study of a faith-based organizational change intervention.
Adoption
Churches
Evidence-based interventions
Faith-based
Implementation science
Nutrition
Organizational change
Physical activity
Public health
Research translation
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
04 Sep 2024
04 Sep 2024
Historique:
received:
02
02
2024
accepted:
19
08
2024
medline:
5
9
2024
pubmed:
5
9
2024
entrez:
4
9
2024
Statut:
epublish
Résumé
Organizational adoption is a key but understudied step in translating evidence-based interventions into practice. The purpose of this study was to report recruitment strategies and factors associated with church enrollment and intervention adoption in a national implementation study of the Faith, Activity, and Nutrition (FAN) program. We worked with partners using multiple strategies to disseminate intervention availability. Interested churches completed an online form. To enroll, the church coordinator (FAN coordinator) and pastor completed baseline surveys and then received intervention online training access. We compared enrolled vs. non-enrolled churches on how they heard about the study and church characteristics. We compared intervention-adopting vs. non-adopting churches on Consolidated Framework for Implementation Research (CFIR) constructs using Fisher's exact tests, χ We received 226 interest forms; 107 churches enrolled, and 85 churches adopted the intervention. Faith-based sources were the most, and paid media the least, effective in reaching churches, which were largely from the southeast with a Methodist or Baptist tradition (no differences by enrollment status). Enrolled churches were less likely to have 500 + worshipers and more likely to have attended a study information session than non-enrolled churches. Church (CFIR inner setting) and FAN coordinator characteristics, but not intervention characteristics, were related to intervention adoption. Partnerships, relationships, and "face time" are important for enrolling churches in evidence-based interventions. Church and church coordinator characteristics are related to intervention adoption. Further work on adoption conceptualization and operationalization is needed.
Sections du résumé
BACKGROUND
BACKGROUND
Organizational adoption is a key but understudied step in translating evidence-based interventions into practice. The purpose of this study was to report recruitment strategies and factors associated with church enrollment and intervention adoption in a national implementation study of the Faith, Activity, and Nutrition (FAN) program.
METHODS
METHODS
We worked with partners using multiple strategies to disseminate intervention availability. Interested churches completed an online form. To enroll, the church coordinator (FAN coordinator) and pastor completed baseline surveys and then received intervention online training access. We compared enrolled vs. non-enrolled churches on how they heard about the study and church characteristics. We compared intervention-adopting vs. non-adopting churches on Consolidated Framework for Implementation Research (CFIR) constructs using Fisher's exact tests, χ
RESULTS
RESULTS
We received 226 interest forms; 107 churches enrolled, and 85 churches adopted the intervention. Faith-based sources were the most, and paid media the least, effective in reaching churches, which were largely from the southeast with a Methodist or Baptist tradition (no differences by enrollment status). Enrolled churches were less likely to have 500 + worshipers and more likely to have attended a study information session than non-enrolled churches. Church (CFIR inner setting) and FAN coordinator characteristics, but not intervention characteristics, were related to intervention adoption.
CONCLUSION
CONCLUSIONS
Partnerships, relationships, and "face time" are important for enrolling churches in evidence-based interventions. Church and church coordinator characteristics are related to intervention adoption. Further work on adoption conceptualization and operationalization is needed.
Identifiants
pubmed: 39232686
doi: 10.1186/s12889-024-19832-9
pii: 10.1186/s12889-024-19832-9
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2401Subventions
Organisme : CDC HHS
ID : U48DP006401
Pays : United States
Informations de copyright
© 2024. The Author(s).
Références
Mazzucca S, Arredondo EM, Hoelscher DM, et al. Expanding implementation research to prevent chronic diseases in community settings. Annu Rev Public Health. 2021;42:135–58.
pubmed: 33467924
pmcid: 9152846
doi: 10.1146/annurev-publhealth-090419-102547
Wilson KM, Brady TJ, Lesesne C, et al. An organizing framework for translation in public health: the knowledge to Action Framework. Prev Chronic Dis. 2011;8(2):A46.
pubmed: 21324260
pmcid: 3073439
Proctor E, Silmere H, Raghavan R, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. 2011;38(2):65–76.
pubmed: 20957426
doi: 10.1007/s10488-010-0319-7
RE-AIM. Improving Public Health Relevance and Population Health Impact. 2024. https://re-aim.org/ . Accessed July 17 2024.
Cassar S, Salmon J, Timperio A, et al. Adoption, implementation and sustainability of school-based physical activity and sedentary behaviour interventions in real-world settings: a systematic review. Int J Behav Nutr Phys Act. 2019;16(1):120.
pubmed: 31791341
pmcid: 6889569
doi: 10.1186/s12966-019-0876-4
Dunn CG, Wilcox S, Saunders RP, et al. Healthy eating and physical activity interventions in faith-based settings: a systematic review using the Reach, Effectiveness/Efficacy, adoption, implementation, maintenance framework. Am J Prev Med. 2021;60(1):127–35.
pubmed: 33341177
doi: 10.1016/j.amepre.2020.05.014
Bhuiyan N, Singh P, Harden SM, et al. Rural physical activity interventions in the United States: a systematic review and RE-AIM evaluation. Int J Behav Nutr Phys Act. 2019;16(1):140.
pubmed: 31882013
pmcid: 6935185
doi: 10.1186/s12966-019-0903-5
Blackman KC, Zoellner J, Berrey LM, et al. Assessing the internal and external validity of mobile health physical activity promotion interventions: a systematic literature review using the RE-AIM framework. J Med Internet Res. 2013;15(10):e224.
pubmed: 24095951
pmcid: 3806547
doi: 10.2196/jmir.2745
Choma EA, Treat-Jacobson DJ, Keller-Ross ML, et al. Using the RE-AIM framework to evaluate physical activity-based fall prevention interventions in older adults with chronic conditions: a systematic review. Transl Behav Med. 2023;13(1):42–52.
pubmed: 36394349
doi: 10.1093/tbm/ibac072
Campbell MK, Hudson MA, Resnicow K, et al. Church-based health promotion interventions: evidence and lessons learned. Annu Rev Public Health. 2007;28:213–34.
pubmed: 17155879
doi: 10.1146/annurev.publhealth.28.021406.144016
Pew Research Center. Faith among Black Americans. 2021. https://www.pewresearch.org/religion/2021/02/16/faith-among-black-americans/ . Accessed June 25 2024.
Pew Research Center. About three-in-ten U.S. adults are now religiously unaffiliated. 2021. https://www.pewresearch.org/religion/2021/12/14/about-three-in-ten-u-s-adults-are-now-religiously-unaffiliated/ . Accessed May 14 2023.
Damschroder LJ, Aron DC, Keith RE, et al. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4:50.
pubmed: 19664226
pmcid: 2736161
doi: 10.1186/1748-5908-4-50
Damschroder LJ, Reardon CM, Widerquist MAO, et al. The updated Consolidated Framework for Implementation Research based on user feedback. Implement Sci. 2022;17(1):75.
pubmed: 36309746
pmcid: 9617234
doi: 10.1186/s13012-022-01245-0
Wilcox S, Laken M, Parrott AW, et al. The faith, activity, and Nutrition (FAN) program: design of a participatory research intervention to increase physical activity and improve dietary habits in African American churches. Contemp Clin Trials. 2010;31(4):323–35.
pubmed: 20359549
pmcid: 2899891
doi: 10.1016/j.cct.2010.03.011
Cohen DA, Scribner RA, Farley TA. A structural model of health behavior: a pragmatic approach to explain and influence health behaviors at the population level. Prev Med. 2000;30(2):146–54.
pubmed: 10656842
doi: 10.1006/pmed.1999.0609
Saunders RP, Wilcox S, Baruth M, et al. Process evaluation methods, implementation fidelity results and relationship to physical activity and healthy eating in the faith, activity, and Nutrition (FAN) study. Eval Program Plann. 2014;43:93–102.
pubmed: 24394548
doi: 10.1016/j.evalprogplan.2013.11.003
Wilcox S, Parrott A, Baruth M, et al. The faith, activity, and Nutrition program: a randomized controlled trial in African-American churches. Am J Prev Med. 2013;44(2):122–31.
pubmed: 23332327
doi: 10.1016/j.amepre.2012.09.062
Wilcox S, Saunders RP, Kaczynski AT, et al. Faith, activity, and Nutrition randomized dissemination and implementation study: countywide adoption, reach, and effectiveness. Am J Prev Med. 2018;54(6):776–85.
pubmed: 29656913
pmcid: 6203293
doi: 10.1016/j.amepre.2018.02.018
Wilcox S, Jake-Schoffman DE, Saunders RP, et al. Predictors of implementation in the faith, activity, and Nutrition dissemination and implementation study: application of the Consolidated Framework for Implementation Research (CFIR) in a statewide initiative. Transl Behav Med. 2021;11(2):419–29.
pubmed: 32221601
doi: 10.1093/tbm/ibaa025
National Cancer Institute. Evidence-Based Cancer Control Programs (EBCCP), The Faith, Activity, and Nutrition (FAN) Program. https://ebccp.cancercontrol.cancer.gov/programDetails.do?programId=10977999 . Accessed June 25 2024.
Wilcox S, Saunders RP, Stucker J, et al. A process for converting an in-person training to increase church capacity to implement physical activity and healthy eating practices and policies to an online format. Transl Behav Med. 2023;13(4):226–35.
pubmed: 36688468
pmcid: 10105879
doi: 10.1093/tbm/ibac102
Polson EC, Dougherty KD. Worshiping across the color line: the influence of congregational composition on whites’ friendship networks and racial attitudes. Sociol Race Ethn. 2019;5(1):100–14.
doi: 10.1177/2332649218757804
Hutto B, Saunders RP, Wilcox S, et al. Pathways of influences leading to adoption of the faith, Activity and Nutrition (FAN) program in a statewide initiative. Eval Program Plann. 2021;87:101941.
pubmed: 33773182
doi: 10.1016/j.evalprogplan.2021.101941
RE-AIM, Improving Public Health Relevance and Population Health Impact. Accessed October 5 2023.
Wisdom JP, Chor KH, Hoagwood KE, et al. Innovation adoption: a review of theories and constructs. Adm Policy Ment Health. 2014;41(4):480–502.
pubmed: 23549911
pmcid: 3894251
doi: 10.1007/s10488-013-0486-4
Frambach RT, Schillewaert N. Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research. J Bus Res. 2002;55(2):163–76.
doi: 10.1016/S0148-2963(00)00152-1
Cohen J. A power primer. Psychol Bull. 1992;112(1):155–9.
pubmed: 19565683
doi: 10.1037/0033-2909.112.1.155
Allen JD, Towne SD Jr., Maxwell AE, et al. Meausures of organizational characteristics associated with adoption and/or implementation of innovations: a systematic review. BMC Health Serv Res. 2017;17(1):591.
pubmed: 28835273
pmcid: 5569532
doi: 10.1186/s12913-017-2459-x
McGoey T, Root Z, Bruner MW, et al. Evaluation of physical activity interventions in youth via the Reach, Efficacy/Effectiveness, adoption, implementation, and maintenance (RE-AIM) framework: a systematic review of randomised and non-randomised trials. Prev Med. 2015;76:58–67.
pubmed: 25900802
doi: 10.1016/j.ypmed.2015.04.006
McGoey T, Root Z, Bruner MW, et al. Evaluation of physical activity interventions in children via the reach, efficacy/effectiveness, adoption, implementation, and maintenance (RE-AIM) framework: a systematic review of randomized and non-randomized trials. Prev Med. 2016;82:8–19.
pubmed: 26582207
doi: 10.1016/j.ypmed.2015.11.004
MacDonald B, Janssen X, Kirk A et al. An integrative, Systematic Review Exploring the Research, effectiveness, adoption, implementation, and maintenance of interventions to reduce sedentary Behaviour in Office workers. Int J Environ Res Public Health. 2018;15(12).
Rong T, Ristevski E, Carroll M. Exploring community engagement in place-based approaches in areas of poor health and disadvantage: a scoping review. Health Place. 2023;81:103026.
pubmed: 37084705
doi: 10.1016/j.healthplace.2023.103026
Honeycutt S, Carvalho M, Glanz K, et al. Research to reality: a process evaluation of a mini-grants program to disseminate evidence-based nutrition programs to rural churches and worksites. J Public Health Manag Pract. 2012;18(5):431–9. https://doi.org/10.1097/PHH.0b013e31822d4c69 .
doi: 10.1097/PHH.0b013e31822d4c69
pubmed: 22836534
Brewer LC, Williams DR. We’ve come this far by faith: the role of the black church in public health. Am J Public Health. 2019;109(3):385–6.
pubmed: 30726121
pmcid: 6366503
doi: 10.2105/AJPH.2018.304939
Bopp M, Wilcox S, Laken M, et al. Using the RE-AIM framework to evaluate a physical activity intervention in churches. Prev Chronic Dis. 2007;4(4):A87.
pubmed: 17875262
pmcid: 2099285
Jones DL, Selfe TK, Wen S, et al. Implementation of an Evidence-Based, Tai Ji Quan Fall Prevention Program in Rural West Virginia churches: a RE-AIM evaluation. J Aging Phys Act. 2023;31(1):33–47.
pubmed: 35690393
doi: 10.1123/japa.2021-0274
Santos SL, Tagai EK, Scheirer MA, et al. Adoption, reach, and implementation of a cancer education intervention in African American churches. Implement Sci. 2017;12(1):36.
pubmed: 28292299
pmcid: 5351199
doi: 10.1186/s13012-017-0566-z
Yeary KHK, Moore PC, Gauss CH, et al. Reach and Adoption of a Randomized Weight loss maintenance trial in rural African americans of faith: the WORD (wholeness, oneness, righteousness, Deliverance). Am J Health Promot. 2019;33(4):549–57.
pubmed: 30309257
doi: 10.1177/0890117118805065
Allen JD, Shelton RC, Kephart L, et al. Examining the external validity of the CRUZA study, a randomized trial to promote implementation of evidence-based cancer control programs by faith-based organizations. Transl Behav Med. 2020;10(1):213–22.
pubmed: 30496532
doi: 10.1093/tbm/iby099
Allicock M, Johnson LS, Leone L, et al. Promoting fruit and vegetable consumption among members of black churches, Michigan and North Carolina, 2008–2010. Prev Chronic Dis. 2013;10:E33.
pubmed: 23489638
pmcid: 3600872
doi: 10.5888/pcd10.120161
Leyva B, Allen JD, Ospino H, et al. Enhancing capacity among faith-based organizations to implement evidence-based cancer control programs: a community-engaged approach. Transl Behav Med. 2017;7(3):517–28.
pubmed: 28733726
pmcid: 5645291
doi: 10.1007/s13142-017-0513-1
Bernhart JA, Dunn CG, Wilcox S, et al. Church leaders’ barriers and facilitators before and after implementing a physical activity and nutrition intervention. Health Educ Res. 2019;34(2):188–99.
pubmed: 30601982
doi: 10.1093/her/cyy051
Baruth M, Wilcox S, Laken M, et al. Implementation of a faith-based physical activity intervention: insights from church health directors. J Community Health. 2008;33(5):304–12.
pubmed: 18473154
doi: 10.1007/s10900-008-9098-4
Bopp M, Webb B. Health Promotion in megachurches: an untapped resource with Megareach? Health Promot Pract. 2012;13(5):679–86.
pubmed: 22491133
doi: 10.1177/1524839911433466
Springer MV, Conley KM, Sanchez BN, et al. Process evaluation of a faith-based multicomponent behavioral intervention to reduce stroke risk in Mexican americans in a Catholic Church setting: the SHARE (Stroke Health and Risk Education) Project. J Relig Health. 2021;60(6):3915–30.
pubmed: 33687633
pmcid: 9088157
doi: 10.1007/s10943-021-01216-7
Wilcox S, Day KR, Saunders RP, et al. The faith, activity, and Nutrition (FAN) dissemination and implementation study: changes in and maintenance of organizational practices over 24 months in a statewide initiative. Int J Behav Nutr Phys Act. 2022;19(1):23.
pubmed: 35236373
pmcid: 8889739
doi: 10.1186/s12966-022-01253-9
Anshel M, Smith M. The role of religious leaders in promoting healthy habits in Religious Institutions. J Relig Health. 2013:1–14.
Levin J. Engaging the faith community for public health advocacy: an agenda for the Surgeon General. J Relig Health. 2013;52(2):368–85.
pubmed: 23519766
doi: 10.1007/s10943-013-9699-9
Levin J. Faith-based partnerships for population health: challenges, initiatives, and prospects. Public Health Rep. 2014;129(2):127–31.
pubmed: 24587546
pmcid: 3904891
doi: 10.1177/003335491412900205
Winett RA, Anderson ES, Wojcik JR, et al. Guide to health: nutrition and physical activity outcomes of a group-randomized trial of an internet-based intervention in churches. Ann Behav Med. 2007;33(3):251–61.
pubmed: 17600452
doi: 10.1007/BF02879907
Cook JM, O’Donnell C, Dinnen S, et al. Measurement of a model of implementation for health care: toward a testable theory. Implement Sci. 2012;7:59.
pubmed: 22759451
pmcid: 3541168
doi: 10.1186/1748-5908-7-59
Helfrich CD, Li YF, Sharp ND, et al. Organizational readiness to change assessment (ORCA): development of an instrument based on the Promoting Action on Research in Health Services (PARIHS) framework. Implement Sci. 2009;4:38.
pubmed: 19594942
pmcid: 2716295
doi: 10.1186/1748-5908-4-38
Patterson MG, West MA, Shackleton VJ, et al. Validating the organizational climate measure: links to managerial practices, productivity and innovation. J Organ Behav. 2005;26:379–408.
doi: 10.1002/job.312
Holt DT, Armenakis AA, Feild HS, et al. Readiness for organizational change: the systematic development of a scale. J Appl Behav Sci. 2007;43(2):232–55.
doi: 10.1177/0021886306295295
Thaker S, Steckler A, Sanchez V, et al. Program characteristics and organizational factors affecting the implementation of a school-based indicated prevention program. Health Educ Res. 2008;23(2):238–48.
pubmed: 17639122
doi: 10.1093/her/cym025
Fernandez ME, Walker TJ, Weiner BJ, et al. Developing measures to assess constructs from the Inner setting domain of the Consolidated Framework for Implementation Research. Implement Sci. 2018;13(1):52.
pubmed: 29587804
pmcid: 5870186
doi: 10.1186/s13012-018-0736-7
Centers for Disease Control and Prevention. Behavioral Risk Factor Surveillance System Survey Questionnaires. Atlanta, GA. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention. 2009. http://www.cdc.gov/brfss/questionnaires.htm . Accessed August 13 2019.