SynthesisJournal of the American Medical Informatics Association : JAMIA2026
Does it save me money? The economic impact of mobile health interventions on medical expenditure of diabetic patients.
Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of behavior-related self-management assessment instruments for patients with diabetes.Frontiers in public health · 2026Pooled it
- Medium-term to long-term effect of digital self-management interventions for type 2 diabetes mellitus: protocol of a systematic review.BMJ open · 2026Article
- Effectiveness of Interventions to Improve Glycemic Control in US Asian and Pacific Islander Populations With Type 2 Diabetes: Systematic Review and Meta-Analysis.Asian/Pacific Island nursing journal · 2026Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study evaluates the impact of self-management and support of m-health applications on medication adherence (MA) and the corresponding long-term medical expenditures among patients with Type 2 Diabetes (T2D), using an analytic framework generalizable to other chronic conditions. MATERIALS AND
methodsA systematic review and meta-analysis of randomized controlled trials were conducted to estimate the synthesized effect of m-health interventions on MA. These results were integrated into a Markov state-transition model to simulate patient transitions among three adherence levels over a 10-year horizon. Medical expenditure data by adherence level were derived from the Medical Expenditure Panel Survey (MEPS). Monte Carlo simulation was applied to assess uncertainty and estimate individual- and population-level cost outcomes under baseline and intervention scenarios.
resultsThe meta-analysis showed a significant positive effect of m-health on MA (standardized mean difference = 0.21, 95% CI: 0.14-0.28). Patients in the intervention scenario experienced an average cost reduction of $4400 over 10 years. At the population level, a cohort of 10 000 patients using m-health tools would yield projected direct medical cost savings of $44 million. DISCUSSION: This study demonstrates the potential of m-health interventions to improve patient behavior and generate substantial long-term cost savings. By linking behavioral health data to downstream cost outcomes, the study adds to the growing evidence base for informatics-driven population health strategies.
conclusionOur study underscores the importance of integrating digital support tools into chronic disease care and informs policy decisions aimed at integrating health informatics innovations.
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Registered trials
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.