Evaluating Effectiveness of mHealth Apps for Older Adults With Diabetes: Meta-Analysis of Randomized Controlled Trials
BackgroundThe global population is aging rapidly, with projections indicating a doubling of older adults by 2050. Among the chronic conditions affecting this demographic, diabetes stands out due to its prevalence and impact on health. Mobile health (mHealth) app interventions...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-06-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2025/1/e65855 |
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| Summary: | BackgroundThe global population is aging rapidly, with projections indicating a doubling of older adults by 2050. Among the chronic conditions affecting this demographic, diabetes stands out due to its prevalence and impact on health. Mobile health (mHealth) app interventions show promise in improving health outcomes, leveraging the widespread adoption of smartphones among older adults.
ObjectiveThis meta-analysis aimed to evaluate the effectiveness of mHealth apps specifically tested for older adults with type 1 or type 2 diabetes. It addresses the gap in existing literature by focusing on this age group, aiming to provide insights into the benefits and challenges of these technologies.
MethodsA meta-analysis of randomized controlled trials (RCTs) was conducted across major databases using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines to examine the effectiveness of mHealth apps for improving older adults’ diabetes outcomes. Primary outcomes included changes in glycated hemoglobin (HbA1c), fasting blood glucose, and medication adherence levels. We retrieved 4247 papers, of which 257 were moved to full review, and 7 were identified following our criteria. Papers were excluded if the study was not an RCT, did not examine the effect of mHealth apps, or was not conducted with older adults. We provide a mixed methods perspective, pairing the effect sizes in the literature with a review of features included in these apps, allowing for a more comprehensive comparison and reference for future RCT interventions with similar technologies designed for older adults.
ResultsOverall, our results indicated that mHealth app interventions can be effective for managing blood glucose in older adult populations. The 7 RCTs that met the inclusion criteria involved a total of 490 participants. The meta-analysis revealed a significant reduction in HbA1c levels (Hedges g –0.40, 95% CI –0.75 to –0.06) among older adults using mHealth apps. Limited data on fasting blood glucose and medication adherence showed positive trends, echoing the main HbA1c findings.
ConclusionsmHealth apps demonstrated effectiveness in improving glycemic control among older adults with diabetes, highlighting their potential as tools for health management in this demographic. Our effect sizes were comparable with other meta-analyses conducted across different aging groups, suggesting that diabetes mHealth apps can be as effective for older adults compared to younger cohorts. Some data suggests that the effectiveness of mHealth apps might decrease over trial time. These findings underscore the need for further research to refine these interventions and optimize their impact on older adults’ health outcomes. We evaluated each RCT intervention and identified app components that could relate to the app’s effectiveness to guide the design of future diabetes management RCTs and mHealth tools for older adults.
Trial RegistrationOpen Science Framework 10.17605/OSF.IO/AWVCX; https://osf.io/awvcx |
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| ISSN: | 1438-8871 |