Evidence map›Paper›PMID 41877026›Full record

ArticleBMC geriatrics2026

A dual-capability digital portrait framework for identifying community age-friendly service needs.

Jie Xue, Wei Guo, Guosheng Wang

Abstract read
In one paragraph

Article in BMC geriatrics, 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

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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

3 authors.

Jie XueAcademy of Arts & Design, Tsinghua University, Beijing, 100084, China.
Wei GuoAcademy of Arts & Design, Tsinghua University, Beijing, 100084, China.
Guosheng WangAcademy of Arts & Design, Tsinghua University, Beijing, 100084, China. 19506132096@163.com.

Funding

National Key Research and Development Program 2022YFF0607003
6 · The paper itself

Abstract

backgroundIt is essential to enhance the effectiveness of elderly care systems by accurately identifying community age-friendly service needs. Existing need assessment approaches often rely on self-reported demands or single-dimensional capability assessments, which may fail to capture the complex interaction between older adults’ functional status and their caregiving environments.

methodsThis study proposes a methodological framework for identifying community age-friendly service needs based on dual digital capability portraits. The framework integrates two analytical dimensions: individual functional capability and family caregiving capability. Firstly, a dual capability assessment framework was developed to capture the multidimensional characteristics of older adults and their household caregiving environments. Secondly, the assessment results were transformed into structured digital capability portraits to enable the standardized representation of capability information. Thirdly, capability–service need mapping matrices were constructed to establish explicit rule-based relationships between capability states and corresponding service needs. Based on these components, a hybrid decision-support approach combining rule-based reasoning and collaborative filtering was designed to generate prioritized service recommendations. A mobile application was developed to demonstrate the operational feasibility of the proposed method using a pilot sample of community-dwelling older adults.

resultsThe framework facilitates the systematic translation of capability assessment outcomes into structured identification of service needs. The pilot application demonstrates how digital capability portraits can be operationalized to produce personalized service recommendations within community care settings.

conclusionsThis study presents a methodological framework for identifying community age-friendly service needs through dual digital capability portraits and structured capability–service mapping.

Indexed as

Health Services for the AgedIndependent LivingMobile ApplicationsNeeds AssessmentAgedAged, 80 and overAging in PlaceFemaleHumansCapability assessmentCommunity elderly careDecision supportDigital capability portraitService need identification

Identifiers

PMID41877026
PMCPMC13137549

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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.