ArticleBMJ open2019
Impact of mobile health applications on self-management in patients with type 2 diabetes mellitus: protocol of a systematic review.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
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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.
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.
Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Technological functionality and system architecture of mobile health interventions for diabetes management: a systematic review and meta-analysis of randomized controlled trials.Frontiers in public health · 2025Pooled it
- Mobile Apps for Common Noncommunicable Disease Management: Systematic Search in App Stores and Evaluation Using the Mobile App Rating Scale.JMIR mHealth and uHealth · 2024Pooled it
- Impact and efficacy of mobile health intervention in the management of diabetes and hypertension: a systematic review and meta-analysis.BMJ open diabetes research & care · 2020Pooled it
- A Mobile App for Diabetes Management: Impact on Self-Efficacy Among Patients with Type 2 Diabetes at a Community Hospital.Medical science monitor : international medical journal of experimental and clinical research · 2020Trial
- AsistIAM: Innovating the Acute Coronary Syndrome Approach in Primary Care Settings.Clinical cardiology · 2026Article
- Effects of a Transtheoretical Model-Based mHealth Intervention on Transition Readiness in Adolescents With Epilepsy: Quasi-Experimental Study.JMIR mHealth and uHealth · 2025Article
- Trust in Medical AI: The Case of mHealth Diabetes Apps.Journal of evaluation in clinical practice · 2025Article
- Understanding the Unmet Needs of People Living with Type 2 Diabetes in Self-Managing Their Condition.Nutrients · 2025Article
- Article
- Effectiveness of Mobile App Interventions to Improve Periodontal Health: Protocol for a Systematic Review and Meta-Analysis.JMIR research protocols · 2024Article
- The Relationship Between Insufficient Vision and Technology Access and Use Among Hospitalized Adults at an Urban Academic Hospital: Observational Study.JMIR formative research · 2023Article
- The Impact of Mobile Health Use on the Self-care of Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2022Article
- Regulatory standards and guidance for the use of health applications for self-management in Africa: scoping review protocol.BMJ open · 2022Article
- Article
- Implementation of a Home-Based mHealth App Intervention Program With Human Mediation for Swallowing Tongue Pressure Strengthening Exercises in Older Adults: Longitudinal Observational Study.JMIR mHealth and uHealth · 2020Observational
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe emergence of mobile health (mHealth) solutions, particularly mHealth applications (apps), has shown promise in self-management of chronic diseases including type 2 diabetes mellitus (T2DM). While majority of the previous systematic reviews have focused on the effectiveness of mHealth apps in improving treatment outcomes in patients with T2DM, there is a need to also understand how mHealth apps influence self-management of T2DM. This is crucial to ensure improvement in the design and use of mHealth apps for T2DM. This protocol describes how a systematic review will be conducted to determine in which way(s) mHealth apps might impact on self-management of T2DM.
methodsThe following electronic databases will be searched from inception to April 2019: PubMed, MEDLINE, EMBASE, Global Health, PsycINFO, CINAHL, The Cochrane Central Register of Controlled Trials, Scopus, Web of Science, ProQuest Dissertations & Theses Global, Health Management Information Consortium database, Google Scholar and ClinicalTrials.gov. The Cochrane risk of bias tool will be used to assess methodological quality. The primary outcome measures to be assessed will be 'change in blood glucose'. The secondary outcomes measures will be 'changes in cardiovascular risk markers' (including blood pressure, body mass index and blood lipids), and self-management practices. Others will include: health-related quality of life, economic data, social support, harms (eg, death or complications leading to hospital admissions or emergency unit attendances), death from any cause, anxiety or depression and adverse events (eg, hypoglycaemic episodes). ETHICS AND DISSEMINATION: This study will not involve the collection of primary data and will not require ethical approval. The review will be published in a peer-reviewed journal and a one-page summary of the findings will be shared with relevant organisations. Presentation of findings will be made at appropriate conferences. TRIAL REGISTRATION NUMBER: CRD42017071106.
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