Evidence map›Paper›PMID 39951722›Full record

SynthesisJournal of medical Internet research2025

Assessing the Effectiveness of Digital Health Behavior Strategies on Type 2 Diabetes Management: Systematic Review and Network Meta-Analysis.

Min Li, Shiyu Liu, Binyang Yu, Ning Li, Aili Lyu, Haiyan Yang, Haiyan He, Na Zhang, Jingru Ma, Meichen Sun and 2 more

Abstract readNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Min LiSchool of Nursing, Health Science Center, Xi 'an Jiaotong University, Xi 'an, China.ORCID 0009-0004-3466-6377
Shiyu LiuSchool of Public Health, Xi'an Jiaotong University, Xi 'an, China.ORCID 0000-0002-9952-0617
Binyang YuGraduate School, Beijing University of Chinese Medicine, Beijing, China.ORCID 0009-0009-9210-9452
Ning LiSchool of Nursing, Health Science Center, Xi 'an Jiaotong University, Xi 'an, China.ORCID 0009-0003-7301-1501
Aili LyuSchool of Nursing, Health Science Center, Xi 'an Jiaotong University, Xi 'an, China.ORCID 0000-0002-2378-005X
Haiyan YangSchool of Nursing, Health Science Center, Xi 'an Jiaotong University, Xi 'an, China.ORCID 0009-0000-4378-0711
Haiyan HeSchool of Nursing, Health Science Center, Xi 'an Jiaotong University, Xi 'an, China.ORCID 0009-0003-7769-5349
Na ZhangSchool of Nursing, Health Science Center, Xi 'an Jiaotong University, Xi 'an, China.ORCID 0009-0005-1018-7694
Jingru MaSchool of Public Health, Xi'an Jiaotong University, Xi 'an, China.ORCID 0009-0006-6218-7968
Meichen SunSchool of Public Health, Xi'an Jiaotong University, Xi 'an, China.ORCID 0009-0007-9545-1582
Hong DuSchool of Public Health, Xi'an Jiaotong University, Xi 'an, China.ORCID 0009-0001-0676-4322
Rui GaoSchool of Nursing, Health Science Center, Xi 'an Jiaotong University, Xi 'an, China.ORCID 0000-0002-6702-9567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVarious 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.

objectiveThis 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 A

methodsRelevant 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.

resultsA 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 HbA

conclusionsSeveral DHI strategy combinations were effective in reducing HbA

trial registrationPROSPERO CRD42024544629; https://tinyurl.com/3zp2znxt.

Indexed as

Diabetes Mellitus, Type 2Health BehaviorBlood GlucoseGlycated HemoglobinHumansRandomized Controlled Trials as TopicTelemedicineBlood GlucoseGlycated Hemoglobinbehavior strategydigital health interventionseffectivenessnetwork meta-analysisstrategy combinationsT2DMtype 2 diabetes mellitus

Identifiers

PMID39951722
PMCPMC11888087

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.