Evidence map›Paper›PMID 42682667›Full record

ArticleDigital health

"Coach in your pocket": Men's digital self-management of type 2 diabetes.

Ledric D Sherman, Kaileigh Carter

Abstract read
In one paragraph

Article in Digital health. 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

2 authors.

Ledric D ShermanDepartment of Health Behavior, School of Public Health, Texas A&M University, College Station, TX, USA.ORCID https://orcid.org/0000-0003-0858-9967
Kaileigh CarterDepartment of Health Behavior, School of Public Health, Texas A&M University, College Station, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore how adult men use digital technologies to support type 2 diabetes self-management and examine the perceived benefits, challenges, and meanings associated with technology use in everyday life. Methods: A qualitative study was conducted with 41 adult men with type 2 diabetes recruited between September 2025 and May 2026 through Prolific, community-based outreach, social media, and participant referrals. Semi-structured interviews were conducted virtually via Zoom, lasted approximately 25-75 minutes, and were professionally transcribed. Both authors analyzed transcripts using an inductive thematic approach in MAXQDA. Data saturation was observed at approximately interviews 36-38, with the remaining scheduled interviews supporting the adequacy of the dataset. Results: Six interrelated themes characterized participants' experiences: real-time monitoring and awareness; technology as a reminder and organizational tool; learning and self-education; communication with healthcare providers; motivation and accountability; and barriers and frustrations with technology use. Across themes, participants described digital tools as helping them act independently on health information, maintain routines, make diabetes visible and actionable, and approach clinical encounters with organized personal data. Cost, usability, and trust in device accuracy remained important constraints. Conclusions: Digital technologies were embedded in participants' everyday diabetes self-management and often supported autonomy, practical problem-solving, accountability, and communication. Digital interventions for men with type 2 diabetes may be most useful when they provide actionable feedback, support self-directed management, integrate with clinical care, and minimize cost and usability burdens.

Indexed as

digital healthmen’s healthmobile healthqualitative researchself-managementtype 2 diabetes

Identifiers

PMID42682667
PMCPMC13530507

What OpenQuestion holds

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Registered trials

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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.