Comorbid symptoms such as post-traumatic stress and pain are common barriers to optimal self-management among veterans with type 2 diabetes. Additionally, self-management behaviors occur in the context of veterans daily routines and social environments. This study evaluated the feasibility and acceptability of ecological momentary assessment (EMA) among veterans with type 2 diabetes. Ten veterans with type 2 diabetes were asked to respond to random EMA surveys during preprogrammed intervals five times per day for 14 days. EMA surveys were delivered via a mobile application and assessed momentary physical location, activities, social interactions, mood, stress, and pain. The last survey of each day included additional items about daily post-traumatic stress symptoms, diabetes distress, social support, physical activity, self-management behaviors, and functioning. Participants completed interviews assessing their experience in the study and barriers to responding and indicated their likelihood of participating in similar studies. The mean survey response rate was 96%, providing 675 observations. The majority of participants completed the five momentary surveys in <1 minute and the daily EMA surveys in <5 minutes. Results revealed substantial individual day-to-day variability across symptoms and self-management behaviors that is not captured by aggregated means across all participants. Participants generally reported enjoying responding to surveys and experiencing few barriers. Nine of 10 participants reported being extremely likely to participate in a similar study. These pilot data suggest that intensive EMA designs are feasible and acceptable for veterans with type 2 diabetes and can inform the design of future larger studies.

Type 2 diabetes disproportionately impacts ethnic minorities and individuals from low socioeconomic status. Diabetes self-management education and support has been shown to improve clinical outcomes in these populations, and mobile health (mHealth) interventions can reduce barriers to access. Dulce Digital-Me (DD-Me) was developed to integrate adaptive mHealth technologies to enhance self-management and reduce disparities in the high-risk, underserved Hispanic population. The objective of the present study was to evaluate reach, adoption, and implementation of an mHealth diabetes self-management education and support intervention in this underrepresented population. The present analysis is a multimethod process evaluation using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. The study was effective in reaching a sample that was representative of the intended population; only modest but significant differences were observed in sex and age. The DD-Me health coach (HC) cited several important facilitators of intervention adoption, including outreach frequency and personalization, and the automated HC report. Implementation fidelity was high, with participants receiving >90% of intended interventions. Participants who received DD-Me with support from a HC were most engaged, suggesting utility and acceptability of integrating HCs with mHealth interventions. Perceptions of implementation among study participants were positive and consistent across study arms. This evaluation revealed the target population was successfully reached and engaged in the digital health interventions, which was implemented with high fidelity. Further studies should evaluate the efficacy and maintenance of the study following the RE-AIM model to determine whether this intervention warrants expansion to additional settings and populations.