Evidence map›Paper›PMID 42821868›Full record

SynthesisJMIR mHealth and uHealth2026

Reporting Gaps in mHealth Intervention Studies for Adults With Diabetes: Systematic Review.

Xin Yue, Jiacheng Shen, Junke Peng, Xiaoting Huang, Mingyue Hu, Xing Hu

Abstract readSystematic ReviewReview
In one paragraph

Synthesis in JMIR mHealth and uHealth, 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.

Xin YueXiangya School of Nursing, Central South University, Changsha, Hunan, China.ORCID http://orcid.org/0009-0006-9878-3067
Jiacheng ShenXiangya School of Nursing, Central South University, Changsha, Hunan, China.ORCID http://orcid.org/0009-0003-4659-3446
Junke PengXiangya School of Nursing, Central South University, Changsha, Hunan, China.ORCID http://orcid.org/0009-0007-2570-1232
Xiaoting HuangCentral South University, Changsha, Hunan, China.ORCID http://orcid.org//0000-0002-5479-7014
Mingyue HuCentral South University, Changsha, Hunan, China.ORCID http://orcid.org/0000-0002-5891-6703
Xing HuSanzhen Rehabilitation Hospital, 448 Fenglin 3rd Road, Yuelu District, Changsha, Hunan, China, 86 13975860366.ORCID http://orcid.org/0009-0006-6213-2000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes self-management education and support requires scalable digital solutions, making mobile health (mHealth) interventions increasingly vital. Despite their proven clinical efficacy, the real-world translation and scalability of these interventions are severely hindered by fragmented and opaque reporting. To address this methodological gap, the World Health Organization developed the mHealth evidence reporting and assessment (mERA) checklist to standardize reporting transparency. Objective: This study aimed to systematically evaluate the reporting completeness of published randomized controlled trials (RCTs) on mHealth interventions for adult diabetes using the mERA checklist; identify critical reporting gaps; analyze how these deficiencies undermine feasibility, scalability, and sustainability; and propose targeted strategies for future optimization. Methods: A PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses)-compliant systematic review was conducted. Five major databases (PubMed, Embase, Web of Science, MEDLINE, and the Cochrane Library) were systematically searched for relevant RCTs published from inception to July 2026. Data extraction and reporting completeness assessments were conducted using the 16-item mERA core checklist. Nonparametric and categorical analyses were used to evaluate factors associated with reporting completeness. Results: A total of 144 RCTs conducted across 49 countries were included in the final analysis. The mean overall mERA reporting score was 6.74 out of 16 (SD 2.71). While basic characteristics such as intervention delivery (n=128, 88.9%) and technology platform (n=117, 81.3%) were well reported, critical system-level domains were largely omitted. Specifically, interoperability (n=12, 8.3%), data security (n=28, 19.4%), compliance with guidelines (n=41, 28.5%), and intervention fidelity (n=53, 36.8%) were severely underreported. Additionally, reporting completeness was significantly higher in studies published between 2016 and 2026 ( Conclusions: Empirical research on mHealth interventions for adult diabetes exhibits systemic structural flaws in reporting, particularly concerning system integration, data security, and regulatory compliance. These omissions significantly undermine the transparency, reproducibility, and real-world scalability of digital diabetes care solutions. Future trials must rigorously adopt standardized reporting frameworks such as the mERA checklist to bridge the gap between clinical efficacy and large-scale public health policy translation.

Indexed as

Diabetes MellitusResearch DesignTelemedicineAdultChecklistDigital HealthEvidence GapsHumansRandomized Controlled Trials as TopicdiabetesmHealthmobile appmobile healthreporting guidelinessystematic review

Identifiers

PMID42821868
PMCPMC13630283

What Socratic holds

Textmetadata
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.