Process evaluation of Dulce Digital-Me: an adaptive mobile health (mHealth) intervention for underserved Hispanics with diabetes.

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.

Type 2 diabetes disproportionately impacts ethnic minorities, including Hispanic individuals; however, these populations are often underrepresented in clinical research, especially in studies using digital technologies. The Dulce Digital-Me study was developed to provide diabetes self-management education and support using mobile health technologies with the goal of improving clinical outcomes by reducing barriers to accessing support. This analysis revealed that the Dulce Digital-Me study was successful at reaching the target population and engaging them with the intervention, while also delivering the study intervention with high fidelity. This process evaluation provides critical context for understanding the study's clinical outcomes and the potential for further dissemination.

eHealth weight loss interventions for adults with low income: A systematic review.

OBJECTIVE: There is a tremendous opportunity for electronic health services (eHealth) to reach adults with low income who want to participate in weight loss interventions, but face barriers in access. This review (a) synthesizes and presents results from all studies evaluating the effectiveness of eHealth weight loss interventions for adults with low income and (b) describes the strategies used to tailor them to these groups. METHOD: Electronic databases were searched for studies examining the effectiveness of eHealth weight loss interventions designed for adults with low income and screened for eligibility by two independent reviewers. All experimental study designs were included. Data were extracted, results were qualitatively synthesized, and studies were assessed for quality. RESULTS: Nine studies met the inclusion criteria (N = 1,606 total participants). Four studies reported significant reductions in weight of small to moderate magnitude among participants in eHealth interventions (M weight loss = -2.2 kg; SD = 1.6). Many studies did not describe how they tailored the intervention for adults with low income; however, studies that achieved significant results tended to use more tailoring strategies. Most studies reported high retention rates. Three studies were rated as strong quality, four as moderate, and two as weak. CONCLUSIONS: Evidence is limited that eHealth weight loss interventions for this population are effective in achieving clinically and statistically significant weight reductions. While interventions that used more tailoring strategies tended to be more effective, studies that use the rigorous methodology and describe interventions in more depth could better elucidate whether eHealth interventions are an effective approach in this population. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Effect of Cognitive Behavioral Therapy for Insomnia (CBT-I) on Cardiometabolic Health Biomarkers: A Systematic Review of Randomized Controlled Trials.

OBJECTIVES: To assess the effectiveness of Cognitive Behavioral Therapy for Insomnia (CBT-I) on cardiometabolic health biomarkers. METHOD: Cochrane CENTRAL, Embase, Medline, and PsycINFO were searched, and records were screened by two independent reviewers. Inclusion criteria were adult population, delivery of CBT-I, randomized controlled trial design, ≥1 cardiometabolic health outcome, and peer-review. Hedge's g effect sizes were calculated, and the quality of the evidence was appraised using the Cochrane Risk of Bias 2 tool. RESULTS: After screening 1649 records, 15 studies were included (total N = 2067). Inflammatory markers (CRP, IL-6, TNF-α), blood pressure (SBP, DBP), and glycemic regulation (HbA1c) were most frequently reported (in ≥3 studies each). HbA1c and CRP were reduced in the CBT-I group compared to the control group (in 3 studies each). Effects varied or were null for IL-6, TNF-α, SBP, and DBP. Six studies were judged as low, four as moderate, and five as high risk of bias. CONCLUSION: CBT-I was most consistently associated with improved HbA1c and CRP, which are relatively temporally stable, suggesting influences on enduring habits rather than short-term behavior changes. High risk of bias limits the interpretation of findings. Methodologically adequate studies are needed to better understand cardiometabolic effects of CBT-I.