Evidence map›Paper›PMID 42224653›Full record

ArticleJMIR diabetes2026

Personalized Digital Health Solutions to Increasing Diabetes-Related Knowledge and Behavioral Outcomes: Results From a Randomized Controlled Trial.

Marcia Ory, Christi H Esquivel, Gang Han, Samuel D Castiglione Towne, SangNam Ahn, Matthew Lee Smith

Abstract read
In one paragraph

Article in JMIR diabetes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Marcia Ory *Center for Community Health and Aging, School of Public Health, Texas A&M University, 212 Adriance Lab Rd, College Station, TX, 77843, United States, 1 9798201498.ORCID 0000-0001-8036-2383
Christi H Esquivel *Center for Community Health and Aging, School of Public Health, Texas A&M University, 212 Adriance Lab Rd, College Station, TX, 77843, United States, 1 9798201498.ORCID 0000-0002-5635-9990
Gang HanCenter for Community Health and Aging, School of Public Health, Texas A&M University, 212 Adriance Lab Rd, College Station, TX, 77843, United States, 1 9798201498.ORCID 0000-0002-5781-5169
Samuel D Castiglione TowneCenter for Community Health and Aging, School of Public Health, Texas A&M University, 212 Adriance Lab Rd, College Station, TX, 77843, United States, 1 9798201498.ORCID 0000-0002-7310-5837
SangNam AhnCenter for Community Health and Aging, School of Public Health, Texas A&M University, 212 Adriance Lab Rd, College Station, TX, 77843, United States, 1 9798201498.ORCID 0000-0002-5690-7627
Matthew Lee SmithCenter for Community Health and Aging, School of Public Health, Texas A&M University, 212 Adriance Lab Rd, College Station, TX, 77843, United States, 1 9798201498.ORCID 0000-0002-8232-9285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of diabetes in the United States necessitates investigations into how to better enable adults with type 2 diabetes mellitus (T2DM) to manage their health using easy-to-access and personally adaptable technologies. The ubiquity of digital content further justifies the need to consider the impact of different digital intervention modalities in diabetes self-care activities. Objective: This study aimed to compare the impact of 2 digital diabetes self-care education programs delivered separately and in combination to adults with T2DM across various settings in Texas. Methods: We conducted a randomized controlled trial in Texas with 188 adults with T2DM to assess whether 2 different interventions alone (Virtual Making Moves with Diabetes or Technology-Based Education and Support) or in combination (Virtual Making Moves with Diabetes followed by Technology-Based Education and Support) improved multiple outcomes associated with diabetes self-management. We used several estimation techniques, including generalized estimating equations, to account for multiple factors simultaneously. Results: All 3 digital intervention modalities led to statistically significant improvements in diabetes-related confidence, distress, and self-care behaviors, with significance from baseline through 6 months and supported by moderate to strong effect sizes (Cohen d) ranging from 0.446 to 0.827 at 3-month follow-up versus baseline and from 0.538 to 0.888 at 6-month follow-up versus baseline. No statistically significant superiority was observed among the intervention modalities. Higher self-care behaviors were significantly associated with higher baseline confidence and lower distress. Those in the most disadvantaged positions (less education, less financial stability, and no health insurance) showed significantly larger improvement in self-care behaviors. Conclusions: Given the benefits associated with this study's interventions, we suggest future work to further develop digital content that can be tailored to individuals with T2DM to help them manage their chronic conditions in a cost-effective manner.

Indexed as

diabetes confidencediabetes distressdiabetes knowledgediabetes self-care behaviorsdiabetes self-management education and supportdigital healthrandomized clinical trial

Identifiers

PMID42224653
PMCPMC13225500

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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.