Evidence map›Paper›PMID 42548571›Full record

ArticleFrontiers in public health2026

Building age-friendly communities through resource allocation and governance innovation under urban-rural integration: evidence from Sichuan, China.

Jia Ren, Xiao Wang

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.

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.

Jia RenSchool of Digital Economics & Management, Mianyang Teachers' College, Mianyang, Sichuan, China.
Xiao WangSchool of Digital Economics & Management, Mianyang Teachers' College, Mianyang, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amid rapid population aging and persistent urban-rural disparities, age-friendly communities (AFCs) have become an important vehicle for strengthening community-level capacity to care for older adults and promoting urban-rural integration. Using Sichuan Province in western China as a case study, this paper examines three contrasting community types: an urban core community, an urban-rural fringe community, and a rural community. Drawing on policy document analysis, field observations, community operational materials, and 55 semi-structured interview notes from three anonymized case communities, this study investigates how resource allocation, governance arrangements, and smart technology shape AFC development under conditions of urban-rural integration. The findings suggest that AFC development in the three cases was shaped by the interacting influences of resource allocation, governance innovation, and technological embedding. More effective resource allocation was associated with greater accessibility and responsiveness of services for older adults, while collaborative and adaptive governance innovation appeared to support service continuity and organizational resilience. Smart technology was more likely to contribute to service efficiency when it was embedded in local governance networks and accompanied by measures supporting digital inclusion. The cross-case comparison points to three context-dependent development pathways across urban, urban-rural fringe, and rural communities. Overall, the evidence suggests that AFC development may be understood as a systemic and context-sensitive process requiring differentiated community strategies to improve the equity of services for older adults and support urban-rural integration in western China.

Indexed as

Resource AllocationRural PopulationUrban PopulationAgedChinaHumansage-friendly communitiesdigital inclusiongovernance innovationresource allocationurban–rural integration

Identifiers

PMID42548571
PMCPMC13429415

What OpenQuestion holds

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LicenceCC BY
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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.