Evidence map›Paper›PMID 42529360›Full record

ArticleFrontiers in public health2026

GPs' perceptions of digital technology for behavior change interventions for community-dwelling older adults: a cross-sectional study.

Yixuan Zeng, Shuai Fang, Yan Liang, Yan Hu

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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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

4 authors.

Yixuan ZengSchool of Public Health, Fudan University, Shanghai, China.
Shuai FangInstitute of Sociology, Shanghai Academy of Social Sciences, Shanghai, China.
Yan LiangSchool of Nursing, Fudan University, Shanghai, China.
Yan HuSchool of Nursing, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Digital technologies have shown great potential in supporting behavior change interventions for older adults. However, general practitioners' (GPs) perceptions regarding using digital technologies to implement behavior change techniques (BCTs) in primary care settings remain unclear, especially in China. This cross-sectional study explored GPs' perceptions of such digital support and concurrent associations between perceived necessity, self-reported competence, and perceived usefulness. Methods: A convenience sample of 540 GPs from three Shanghai districts completed an online survey between December 1, 2023 and December 10, 2023. Separate clustering-robust logistic regression models were fitted for each of 16 BCT groups (with sociodemographic and occupational variables as confounders); given only three district-level clusters, inferential results are interpreted as exploratory rather than definitive. Results: GPs generally recognized BCT necessity but reported relatively low competence. Perceived necessity and self-reported competence were positively associated with perceived usefulness across all 16 BCTs (all FDR-adjusted Discussion: This exploratory study provides initial insights into GPs' perceptions in selected Shanghai community health service settings, highlighting key cognitive associations and a necessity-competence discrepancy. Digital technologies may support BCT delivery, but findings are tentative due to study limitations including single-item dichotomous measures, few district-level clusters, and within-respondent dependence across 16 BCT judgments. Rigorous future research is needed to validate patterns and inform initiatives.

Indexed as

Attitude of Health PersonnelDigital TechnologyGeneral PractitionersHealth BehaviorAgedChinaCross-Sectional StudiesDigital HealthFemaleHumansIndependent LivingMaleMiddle AgedPrimary Health CareSurveys and Questionnairesbehaviorbehavioral sciencesgeneral practiceprimary health caretechnology

Identifiers

PMID42529360
PMCPMC13416695

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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.