%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 27
%N 
%P e63209
%T Assessing the Effectiveness of Digital Health Behavior Strategies on Type 2 Diabetes Management: Systematic Review and Network Meta-Analysis
%A Li,Min
%A Liu,Shiyu
%A Yu,Binyang
%A Li,Ning
%A Lyu,Aili
%A Yang,Haiyan
%A He,Haiyan
%A Zhang,Na
%A Ma,Jingru
%A Sun,Meichen
%A Du,Hong
%A Gao,Rui
%+ School of Nursing, Health Science Center, Xi 'an Jiaotong University, 74 Yanta West Road, Xi 'an, 710061, China, 86 18966606582, gaorui@xjtu.edu.cn
%K T2DM
%K type 2 diabetes mellitus
%K digital health interventions
%K behavior strategy
%K strategy combinations
%K effectiveness
%K network meta-analysis
%D 2025
%7 14.2.2025
%9 Review
%J J Med Internet Res
%G English
%X Background: Various mobile technologies and digital health interventions (DHIs) have been developed for type 2 diabetes mellitus (T2DM) management. Strategies are crucial for ensuring the effectiveness of DHIs. However, there is currently a lack of categorization and summarization of the strategies used in DHIs for T2DM. Objective: This study aims to (1) identify and categorize the strategies used in DHIs for T2DM management; (2) assess the effectiveness of these DHI strategies; and (3) compare and rank the efficacy of different strategy combinations on glycated hemoglobin A1c (HbA1c) levels, fasting blood glucose (FBG) levels, BMI, and weight loss. Methods: Relevant randomized controlled trials (RCTs) were extracted from PubMed, Web of Science, and Scopus databases. Three rounds of screening and selection were conducted. The strategies were identified and categorized based on the principles of behavior change techniques and behavior strategies. The synthesis framework for the assessment of health IT was used to structure the evaluation of the DHI strategies qualitatively. A network meta-analysis was performed to compare the efficacy of different strategy combinations. The data quality was assessed using the Cochrane Risk of Bias tool. Results: A total of 52 RCTs were included, identifying 63 strategies categorized into 19 strategy themes. The most commonly used strategies were guide, monitor, management, and engagement. Most studies reported positive or mixed outcomes for most indicators based on the synthesis framework for the assessment of health IT. Research involving a medium or high number of strategies was found to be more effective than research involving a low number of strategies. Of 52 RCTs, 27 (52%) were included in the network meta-analysis. The strategy combination of communication, engagement, guide, and management was most effective in reducing HbA1c levels (mean difference [MD] –1.04, 95% CI –1.55 to –0.54), while the strategy combination of guide, management, and monitor was effective in reducing FBG levels (MD –0.96, 95% CI –1.86 to –0.06). The strategy combination of communication, engagement, goal setting, management, and support was most effective for BMI (MD –2.30, 95% CI –3.16 to –1.44) and weight management (MD –6.50, 95% CI –8.82 to –4.18). Conclusions: Several DHI strategy combinations were effective in reducing HbA1c levels, FBG levels, BMI, and weight in T2DM management. Health care professionals should be encouraged to apply these promising strategy combinations in DHIs during clinical care. Future research should further explore and optimize the design and implementation of strategies. Trial Registration: PROSPERO CRD42024544629; https://tinyurl.com/3zp2znxt 
%R 10.2196/63209
%U https://www.jmir.org/2025/1/e63209
%U https://doi.org/10.2196/63209