Evidence mapPaperPMID 40527504Full record

SynthesisJournal of medical Internet research2025

Evaluating Effectiveness of mHealth Apps for Older Adults With Diabetes: Meta-Analysis of Randomized Controlled Trials.

Renato Ferreira Leitao Azevedo, Michael Varzino, Erika Steinman, Wendy A Rogers

Abstract readMeta-Analysis
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
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

7 citing papers in PubMed.

  1. Article
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  3. Review
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  6. Review
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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

4 authors.

Renato Ferreira Leitao AzevedoInstitute of Gerontology, College of Public Health, University of Georgia, Athens, GA, United States.ORCID https://orcid.org/0000-0002-4213-7967
Michael VarzinoCollege of Applied Health Sciences, University of Illinois Urbana-Champaign, Champaign, IL, United States.ORCID https://orcid.org/0009-0002-1996-7820
Erika SteinmanCollege of Applied Health Sciences, University of Illinois Urbana-Champaign, Champaign, IL, United States.ORCID https://orcid.org/0009-0005-2323-3178
Wendy A RogersCollege of Applied Health Sciences, University of Illinois Urbana-Champaign, Champaign, IL, United States.ORCID https://orcid.org/0000-0002-0787-2130

Funding

Project 3: Technology Tools for Cognitive Support for Health Management Activities for Aging Adults with and without Mild Cognitive ImpairmentP01AG073090 · WEILL MEDICAL COLL OF CORNELL UNIV · 2025 to 2025
$2.8M
NIA NIH HHS P01 AG073090
6 · The paper itself

Abstract

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 (HbA

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 HbA

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.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2Mobile ApplicationsTelemedicineAgedBlood GlucoseGlycated HemoglobinHumansMaleMiddle AgedRandomized Controlled Trials as TopicBlood GlucoseGlycated Hemoglobinblood glucosediabeteseffectivenessgeriatricgerontechnologyglycemic controlinterventionmanagementmeta-analysismHealth appsmobile phoneolder adultsrandomized controlled trialRCT

Identifiers

PMID40527504
PMCPMC12214694

What Socratic 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 Socratic graph.