Development of a Web-Based Diabetes Prevention Program (DPP) for Chinese Americans: A Formative Evaluation Approach.
Ming-Chin YehWincy LauZoey GongMargrethe F Horlyck-RomanovskyHo-Jui TungLin ZhuGrace X MaJudith Wylie-RosettPublished in: International journal of environmental research and public health (2022)
Increasing evidence demonstrates that an online Diabetes Prevention Program (DPP) can delay the onset of type 2 diabetes. However, little has been done for Chinese Americans. This study, using Community-Based Participatory Research and Intervention Mapping approaches, describes a formative research process in the development of a culturally and linguistically tailored online DPP program among Chinese Americans with prediabetes living in New York City. Using a triangulation approach, data were collected to inform the development of an online DPP curriculum through (1) a literature review, (2) three focus groups (n = 24), and (3) a community advisory board meeting among 10 key informants knowledgeable in community needs, diabetes care, and lifestyle interventions. Participants indicated online DPPs would be very useful and easily accessible. However, key barriers including low computer skills/literacy and technology self-efficacy were identified. In addition, taking meal photos and tracking pedometer steps daily were found to be acceptable self-motoring tools for sustaining a healthy lifestyle. Furthermore, the integration of features such as text message reminders and the creation of social support groups into the online DPP curriculum was proposed to minimize attrition. This theory-based formative research to develop a culturally and linguistically appropriate web-based DPP curriculum was well-received by Chinese Americans and warrants testing in future intervention studies.
Keyphrases
- quality improvement
- social support
- health information
- cardiovascular disease
- physical activity
- type diabetes
- randomized controlled trial
- social media
- medical students
- depressive symptoms
- healthcare
- mental health
- metabolic syndrome
- medical education
- weight loss
- high resolution
- emergency medicine
- current status
- machine learning
- adipose tissue
- mass spectrometry
- high density