Evidence map›Paper›PMID 41361748›Full record

ArticleBMC health services research2025

Digital healthcare services in the context of age-friendly community initiatives in China: a realist evaluation.

Yefei Zhao, Guanglin Lu, Shuai Fang, Lingying Cai, Xiaolin He, Yan Liang

Abstract read
In one paragraph

Article in BMC health services research, 2025. 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

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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.

Yefei Zhao *School of Nursing, Fudan University, Shanghai, 200032, China.
Guanglin Lu *School of Nursing, Fudan University, Shanghai, 200032, China.
Shuai FangInstitute of Sociology, Shanghai Academy of Social Sciences, Shanghai, 200020, China.
Lingying CaiSchool of Nursing, Fudan University, Shanghai, 200032, China.
Xiaolin He *Department of Social Policy, Shanghai Administration Institute, Shanghai, 200233, China.
Yan Liang *School of Nursing, Fudan University, Shanghai, 200032, China. liangyan@fudan.edu.cn.

Funding

Fudan University School of Nursing Research Fund FNF202356National Natural Science Foundation of China 72304071Xi Yuan Program of Fudan University 23648
6 · The paper itself

Abstract

backgroundUnderstanding digital healthcare services in age-friendly community (AFC) initiatives and their implementation is crucial for developing evidence-based policies and practices. In this study, we aim to explore the question, "What is it about digital healthcare services that work, for whom, and under what circumstances?" in top-down AFC initiatives using Shanghai, China, as a representative case.

methodsWe employed a novel realist evaluation methodology and gathered insights from critical informants and users, including policymakers, community officers responsible for implementing AFC initiatives, and older adults.

resultsThe findings revealed six context-mechanism-outcome configurations. The government-led top-down AFC initiative, along with its related policies, serves as a critical context for supporting the provision of digital healthcare services and improving outcomes for older adults and their communities. A bottom-up approach values individual demand-oriented methods, providing digital healthcare services in AFC initiatives by considering older adults' health and social situation as a critical context, utilizing digital care services and support as resources, and enhancing user experience. A feasible path forward is to support healthcare professional-led collaboration in developing and implementing digital healthcare services, aligning bottom-up and top-down practices, and focusing on individual demand, social equity, privacy concerns, and data-driven feedback.

conclusionsTop-up support, active engagement of providers, and closer local monitoring of digital healthcare service implementation in AFC initiatives may encourage long-term effectiveness and sustainability.

Indexed as

Community Health ServicesHealth Services for the AgedTelemedicineAgedChinaHumansDigital careHome and community-basedOlder adultsPerson-centered careQualitative research

Identifiers

PMID41361748
PMCPMC12797359

What OpenQuestion holds

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LicenceCC BY
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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.