Development of a Web-Based Diabetes Prevention Program (DPP) for Chinese Americans: A Formative Evaluation Approach
Abstract
:1. Introduction
2. Methods
2.1. Theoretical Framework
2.2. Formative Evaluation Method
2.2.1. Literature Review
2.2.2. Focus Groups Discussion
2.2.3. Community Advisory Board Meeting
3. Results
3.1. Focus Group and CAB Meeting Finding
3.1.1. Web-Based Intervention Acceptability and Feasibility
3.1.2. Acceptability for Web-Based Self-Monitoring Tools
3.1.3. Web-Based Intervention Implementation and Modifications
3.2. The Use of Formative Evaluation in the Development of an Online DPP Curriculum for Chinese Americans
3.3. The Online DPP Curriculum
3.3.1. Self-Monitoring Tools
3.3.2. Social Support
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Centers for Disease Control and Prevention. National Diabetes Statistics Report 2020; Centers for Disease Control and Prevention, U.S. Dept of Health and Human Services: Atlanta, GA, USA, 2020.
- Thorpe, L.E.; Kanchi, R.; Chamany, S.; Rodriguez-Lopez, J.S.; Chernov, C.; Freeman, A.; Perlman, S.E. Change in Diabetes Prevalence and Control among New York City Adults: NYC Health and Nutrition Examination Surveys 2004–2014. J. Urban Health 2018, 95, 826–831. [Google Scholar] [CrossRef]
- Thorpe, L.E.; Upadhyay, U.D.; Chamany, S.; Garg, R.; Mandel-Ricci, J.; Kellerman, S.; Berger, D.K.; Frieden, T.R.; Gwynn, C. Prevalence and Control of Diabetes and Impaired Fasting Glucose in New York City. Diabetes Care 2009, 32, 57–62. [Google Scholar] [CrossRef] [Green Version]
- Araneta, M.R.G.; Kanaya, A.M.; Hsu, W.C.; Chang, H.K.; Grandinetti, A.; Boyko, E.J.; Hayashi, T.; Kahn, S.E.; Leonetti, D.L.; McNeely, M.J.; et al. Optimum BMI Cut Points to Screen Asian Americans for Type 2 Diabetes. Diabetes Care 2015, 38, 814–820. [Google Scholar] [CrossRef] [Green Version]
- Asian American Federation. Profile of New York City’s Chinese Americans; Asian American Federation: New York, NY, USA, 2019. [Google Scholar]
- Rajpathak, S.N.; Wylie-Rosett, J. High Prevalence of Diabetes and Impaired Fasting Glucose Among Chinese Immigrants in New York City. J. Immigr. Minor. Health 2011, 13, 181–183. [Google Scholar] [CrossRef] [Green Version]
- Diabetes Prevention Program Research Group. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet 2009, 374, 1677–1686. [Google Scholar] [CrossRef] [Green Version]
- Grock, S.; Ku, J.-H.; Kim, J.; Moin, T. A Review of Technology-Assisted Interventions for Diabetes Prevention. Curr. Diabetes Rep. 2017, 17, 107. [Google Scholar] [CrossRef]
- Ryan, C. Computer and Internet Use in the United States: 2016. 2018. Available online: www.census.gov/acs (accessed on 3 February 2020).
- Anderson, M. Mobile Technology and Home Broadband 2019. Pew Research Center. Available online: https://www.pewresearch.org/internet/2019/06/13/mobile-technology-and-home-broadband-2019/ (accessed on 16 April 2020).
- Joiner, K.L.; Nam, S.; Whittemore, R. Lifestyle interventions based on the diabetes prevention program delivered via eHealth: A systematic review and meta-analysis. Prev. Med. 2017, 100, 194–207. [Google Scholar] [CrossRef]
- Arens, J.H.; Hauth, W.; Weissmann, J. Novel App- and Web-Supported Diabetes Prevention Program to Promote Weight Reduction, Physical Activity, and a Healthier Lifestyle: Observation of the Clinical Application. J. Diabetes Sci. Technol. 2018, 12, 831–838. [Google Scholar] [CrossRef] [Green Version]
- Block, G.; Azar, K.M.; Romanelli, R.J.; Block, T.J.; Hopkins, D.; Carpenter, H.A.; Dolginsky, M.S.; Hudes, M.L.; Palaniappan, L.P.; Block, C.H. Diabetes Prevention and Weight Loss with a Fully Automated Behavioral Intervention by Email, Web, and Mobile Phone: A Randomized Controlled Trial Among Persons with Prediabetes. J. Med. Internet Res. 2015, 17, e240. [Google Scholar] [CrossRef]
- Moin, T.; Damschroder, L.J.; AuYoung, M.; Maciejewski, M.L.; Havens, K.; Ertl, K.; Vasti, E.; Weinreb, J.E.; Steinle, N.I.; Billington, C.J.; et al. Results From a Trial of an Online Diabetes Prevention Program Intervention. Am. J. Prev. Med. 2018, 55, 583–591. [Google Scholar] [CrossRef]
- CDC. About the National Diabetes Prevention Program. Centers for Disease Control and Prevention. Available online: https://www.cdc.gov/diabetes/prevention/about.htm (accessed on 7 June 2019).
- Yeh, M.-C.; Heo, M.; Suchday, S.; Wong, A.; Poon, E.; Liu, G.; Wylie-Rosett, J. Translation of the Diabetes Prevention Program for diabetes risk reduction in Chinese immigrants in New York City. Diabet. Med. 2016, 33, 547–551. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cole, R.E.; Horacek, T. Applying Precede-Proceed to Develop an Intuitive Eating Nondieting Approach to Weight Management Pilot Program. J. Nutr. Educ. Behav. 2009, 41, 120–126. [Google Scholar] [CrossRef] [PubMed]
- Whittemore, R.; Melkus, G.D.; Grey, M. Applying the Social Ecological Theory to Type 2 Diabetes Prevention and Management. J. Community Health Nurs. 2004, 21, 87–99. [Google Scholar] [CrossRef]
- Ramos, M.A.; Robinson, M.; Seifer, S.; Robinson, R.M. Community-based participatory research from the margin to the mainstream: Are researchers prepared? Circulation 2009, 119, 2633–2642. [Google Scholar] [CrossRef] [Green Version]
- Israel, B.A.; Eng, E.; Schulz, A.J.; Parker, E.A. Methods for Community-Based Participatory Research for Health, 2nd ed.; Jossey-Bass: San Francisico, CA, USA, 2013. [Google Scholar]
- Bartholomew, L.K.; Parcel, G.S.; Kok, G.; Gottlieb, N.H. Planning Health Promotion Programs: An Intervention Mapping Approach, 2nd ed.; Jossey-Bass: San Francisico, CA, USA, 2011. [Google Scholar]
- Carter, N.; Bryant-Lukosius, D.; DiCenso, A.; Blythe, J.; Neville, A.J. The Use of Triangulation in Qualitative Research. Oncol. Nurs. Forum 2014, 41, 545–547. [Google Scholar] [CrossRef]
- Braun, V.; Clarke, V. Using thematic analysis in psychology. Qual. Res. Psychol. 2006, 3, 77–101. [Google Scholar] [CrossRef] [Green Version]
- Friese, S. Qualitative Data Analysis with ATLAS.Ti, third edition. ATLAS.ti -The Qualitative Data Analysis & Research Software. 12 May 2022. Available online: https://atlasti.com/s-friese-qualitative-data-analysis-with-atlas-ti/ (accessed on 30 October 2021).
- Dodgson, J.E. Reflexivity in Qualitative Research. J. Hum. Lact. 2019, 35, 220–222. [Google Scholar] [CrossRef]
- Choi, T.S.T.; Walker, K.Z.; Palermo, C. Culturally Tailored Diabetes Education for Chinese Patients: A Qualitative Case Study. J. Transcult. Nurs. 2017, 28, 315–323. [Google Scholar] [CrossRef]
- Yeh, M.-C.; Lau, W.; Chen, S.; Wong, A.; Tung, H.-J.; Ma, G.X.; Wylie-Rosett, J. Adaptation of diabetes prevention program for Chinese Americans—A qualitative study. BMC Public Health 2022, 22, 1325. [Google Scholar] [CrossRef]
- The Diabetes Prevention Program. Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1351026/pdf/NIHMS5227.pdf (accessed on 15 June 2019).
- Glanz, K.; Bishop, D.B. The Role of Behavioral Science Theory in Development and Implementation of Public Health Interventions. Annu. Rev. Public Health 2010, 31, 399–418. [Google Scholar] [CrossRef]
- Marrero, D.G.; Ackermann, R.T. Providing Long-Term Support for Lifestyle Changes: A Key to Success in Diabetes Prevention. Diabetes Spectr. 2007, 20, 205–209. [Google Scholar] [CrossRef] [Green Version]
- Katula, J.A.; Vitolins, M.Z.; Morgan, T.M.; Lawlor, M.S.; Blackwell, C.S.; Isom, S.P.; Pedley, C.F.; Goff, D.C. The Healthy Living Partnerships to Prevent Diabetes Study: 2-Year Outcomes of a Randomized Controlled Trial. Am. J. Prev. Med. 2013, 44, S324–S332. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Williams, L.B.; Sattin, R.W.; Dias, J.; Garvin, J.T.; Marion, L.; Joshua, T.; Kriska, A.; Kramer, M.K.; Echouffo-Tcheugui, J.B.; Freeman, A.; et al. Design of a cluster-randomized controlled trial of a diabetes prevention program within African–American churches: The Fit Body and Soul study. Contemp. Clin. Trials 2013, 34, 336–347. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- West, D.S.; Bursac, Z.; Cornell, C.E.; Felix, H.C.; Fausett, J.K.; Krukowski, R.A.; Lensing, S.; Love, S.J.; Prewitt, T.E.; Beck, C. Lay health educators translating an evidence-based weight loss intervention to obese older adults in rural senior centers. Am. J. Prev. Med. 2011, 41, 385–391. [Google Scholar] [CrossRef]
- Ackermann, R.T.; Finch, E.A.; Caffrey, H.M.; Lipscomb, E.R.; Hays, L.M.; Saha, C. Long-term effects of a community-based lifestyle intervention to prevent type 2 diabetes: The DEPLOY extension pilot study. Chronic Illn. 2011, 7, 279–290. [Google Scholar] [CrossRef]
- Whittemore, R.; Melkus, G.; Wagner, J.; Dziura, J.; Northrup, V.; Grey, M. Translating the Diabetes Prevention Program to Primary Care: A pilot study. Nurs. Res. 2009, 58, 2–12. [Google Scholar] [CrossRef] [Green Version]
- McTigue, K.M.; Conroy, M.B.; Hess, R.; Bryce, C.L.; Fiorillo, A.B.; Fischer, G.S.; Milas, N.C.; Simkin-Silverman, L.R. Using the Internet to Translate an Evidence-Based Lifestyle Intervention into Practice. Telemed. e-Health 2009, 15, 851–858. [Google Scholar] [CrossRef]
- Lim, S.L.; Ong, K.W.; Johal, J.; Han, C.Y.; Yap, Q.V.; Chan, Y.H.; Zhang, Z.P.; Chandra, C.C.; Thiagarajah, A.G.; Khoo, C.M. A Smartphone App-Based Lifestyle Change Program for Prediabetes (D’LITE Study) in a Multiethnic Asian Population: A Randomized Controlled Trial. Front. Nutr. 2022, 8, 780567. [Google Scholar] [CrossRef]
- Farmer, T.; Robinson, K.; Elliott, S.J.; Eyles, J.; Farmer, T.; Robinson, K.; Elliott, S.J.; Eyles, J. Developing and Implementing a Triangulation Protocol for Qualitative Health Research. Qual. Health Res. 2006, 16, 377–394. [Google Scholar] [CrossRef]
- Bentley, M.E.; Johnson, S.L.; Wasser, H.; Creed-Kanashiro, H.; Shroff, M.; Rao, S.F.; Cunningham, M. Formative research methods for designing culturally appropriate, integrated child nutrition and development interventions: An overview. Ann. N. Y. Acad. Sci. 2014, 1308, 54–67. [Google Scholar] [CrossRef]
- Fontil, V.; McDermott, K.; Tieu, L.; Rios, C.; Gibson, E.; Sweet, C.C.; Payne, M.; Lyles, C.R. Adaptation and Feasibility Study of a Digital Health Program to Prevent Diabetes among Low-Income Patients: Results from a Partnership between a Digital Health Company and an Academic Research Team. J. Diabetes Res. 2016, 2016, 8472391. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- DeJoy, D.M.; Padilla, H.M.; Wilson, M.G.; Vandenberg, R.; Davis, M.A. Worksite Translation of the Diabetes Prevention Program: Formative research and pilot study results from fuel your life. Health Promot. Pract. 2013, 14, 506–513. [Google Scholar] [CrossRef]
- Chen, J.; Lieffers, J.; Bauman, A.; Hanning, R.; Allman-Farinelli, M. The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: A three country study. J. Hum. Nutr. Diet. 2017, 30, 439–452. [Google Scholar] [CrossRef]
- Jospe, M.R.; Fairbairn, K.A.; Green, P.; Perry, T.L. Diet App Use by Sports Dietitians: A Survey in Five Countries. JMIR mHealth uHealth 2015, 3, e7. [Google Scholar] [CrossRef] [PubMed]
- Regmi, P.R.; Waithaka, E.; Paudyal, A.; Simkhada, P.; Van Teijlingen, E. Guide to the design and application of online questionnaire surveys. Nepal J. Epidemiol. 2016, 6, 640–644. [Google Scholar] [CrossRef]
- Pedersen, E.R.; Kurz, J. Using Facebook for health-related research study recruitment and program delivery. Curr. Opin. Psychol. 2016, 9, 38–43. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Batterham, P.J. Recruitment of mental health survey participants using Internet advertising: Content, characteristics and cost effectiveness. Int. J. Methods Psychiatr. Res. 2014, 23, 184–191. [Google Scholar] [CrossRef] [PubMed]
- Watterson, J.L.; Rodriguez, H.P.; Shortell, S.M.; Aguilera, A. Improved Diabetes Care Management Through a Text-Message Intervention for Low-Income Patients: Mixed-Methods Pilot Study. JMIR Diabetes 2018, 3, e15. [Google Scholar] [CrossRef] [Green Version]
- Pal, K.; Eastwood, S.; Michie, S.; Farmer, A.J.; Barnard, M.L.; Peacock, R.; Wood, B.; Inniss, J.D.; Murray, E. Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus. Cochrane Database Syst. Rev. 2013, 2013, CD008776. [Google Scholar] [CrossRef]
- Rotheram-Borus, M.J.; Tomlinson, M.; Gwegwe, M.; Comulada, W.S.; Kaufmann, P.N.; Keim, M. Diabetes Buddies: Peer support through a mobile phone buddy system. Diabetes Educ. 2012, 38, 357–365. [Google Scholar] [CrossRef]
- Illner, A.-K.; Freisling, H.; Boeing, H.; Huybrechts, I.; Crispim, S.; Slimani, N. Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology. Int. J. Epidemiol. 2012, 41, 1187–1203. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wang, D.-H.; Kogashiwa, M.; Kira, S. Development of a New Instrument for Evaluating Individuals’ Dietary Intakes. J. Am. Diet. Assoc. 2006, 106, 1588–1593. [Google Scholar] [CrossRef] [PubMed]
- Hutchesson, M.; Truby, H.; Callister, R.; Morgan, P.; Davies, P.S.W.; Collins, C.E. Can a web-based food record accurately assess energy intake in overweight and obese women? A pilot study. J. Hum. Nutr. Diet. 2013, 26, 140–144. [Google Scholar] [CrossRef] [PubMed]
- Doulah, A.; Mccrory, M.A.; Higgins, J.A.; Sazonov, E. A Systematic Review of Technology-Driven Methodologies for Estimation of Energy Intake. IEEE Access 2019, 7, 49653–49668. [Google Scholar] [CrossRef] [PubMed]
- Boushey, C.J.; Spoden, M.; Zhu, F.M.; Delp, E.J.; Kerr, D.A. New Mobile Methods for Dietary Assessment: Review of Image-Assisted and Image-Based Dietary Assessment Methods. Proc. Nutr. Soc. 2017, 76, 283–294. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Vandelanotte, C.; Müller, A.M.; Short, C.E.; Hingle, M.; Nathan, N.; Williams, S.L.; Lopez, M.L.; Parekh, S.; Maher, C.A. Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors. J. Nutr. Educ. Behav. 2016, 48, 219–228.e1. [Google Scholar] [CrossRef]
- Vastine, A.; Gittelsohn, J.; Ethelbah, B.; Anliker, J.; Caballero, B. Formative Research and Stakeholder Participation in Intervention Development. Am. J. Health Behav. 2005, 29, 57–69. [Google Scholar] [CrossRef]
- Sussman, A.L.; Davis, S.M. Integrating Formative Assessment and Participatory Research: Building healthier communities in the CHILE Project. Am. J. Health Educ. 2010, 41, 244–249. [Google Scholar] [CrossRef] [Green Version]
- Grier, S.; Bryant, C.A. Social Marketing in Public health. Annu. Rev. Public Health 2005, 26, 319–339. [Google Scholar] [CrossRef]
Key Themes | Sub-Themes |
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Barriers to behavioral changes |
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Feedback on curriculum content and suggestions |
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Web-based intervention acceptability |
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Web-based intervention feasibility |
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Web-based intervention implementation and modifications |
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Yeh, M.-C.; Lau, W.; Gong, Z.; Horlyck-Romanovsky, M.; Tung, H.-J.; Zhu, L.; Ma, G.X.; Wylie-Rosett, J. Development of a Web-Based Diabetes Prevention Program (DPP) for Chinese Americans: A Formative Evaluation Approach. Int. J. Environ. Res. Public Health 2023, 20, 599. https://doi.org/10.3390/ijerph20010599
Yeh M-C, Lau W, Gong Z, Horlyck-Romanovsky M, Tung H-J, Zhu L, Ma GX, Wylie-Rosett J. Development of a Web-Based Diabetes Prevention Program (DPP) for Chinese Americans: A Formative Evaluation Approach. International Journal of Environmental Research and Public Health. 2023; 20(1):599. https://doi.org/10.3390/ijerph20010599
Chicago/Turabian StyleYeh, Ming-Chin, Wincy Lau, Zoey Gong, Margrethe Horlyck-Romanovsky, Ho-Jui Tung, Lin Zhu, Grace X. Ma, and Judith Wylie-Rosett. 2023. "Development of a Web-Based Diabetes Prevention Program (DPP) for Chinese Americans: A Formative Evaluation Approach" International Journal of Environmental Research and Public Health 20, no. 1: 599. https://doi.org/10.3390/ijerph20010599
APA StyleYeh, M.-C., Lau, W., Gong, Z., Horlyck-Romanovsky, M., Tung, H.-J., Zhu, L., Ma, G. X., & Wylie-Rosett, J. (2023). Development of a Web-Based Diabetes Prevention Program (DPP) for Chinese Americans: A Formative Evaluation Approach. International Journal of Environmental Research and Public Health, 20(1), 599. https://doi.org/10.3390/ijerph20010599