Evidence map›Paper›PMID 39570825›Full record

ArticlePloS one2024

Evaluating the impact of a pilot programme for home- and community-based services on long-term care needs among older adults in China.

Ruru Ping, Bo Hu, Takashi Oshio

Abstract read
In one paragraph

Article in PloS one, 2024. 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

3 authors.

Ruru PingHitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan.ORCID 0000-0001-7946-7866
Bo HuCare Policy and Evaluation Centre, Department of Health Policy, London School of Economics and Political Sciences, London, United Kingdom.
Takashi OshioInstitute of Economic Research, Hitotsubashi University, Tokyo, Japan.ORCID 0000-0001-8142-5585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is facing escalating demand for long-term care (LTC), prompting the central government to launch a 5-year pilot programme to strengthen home- and community-based services (HCBS) from 2016 to 2020. However, the effects of this pilot programme on LTC needs remain unknown. This study aimed to evaluate the programme's impact on LTC needs of older adults. Using panel data from the China Health and Retirement Longitudinal Study (N = 3,327), we evaluated the effects of the programme using a combined approach of propensity score matching and difference-in-differences. We found that the implementation of the HCBS programme reduced the number of unmet needs for assistance with instrumental activities of daily living (IADL) and delayed the progression of IADL limitations among older adults. However, no significant impact was found on the number of unmet needs for assistance with activities of daily living (ADL) or the progression of ADL limitations. Heterogeneity analysis showed that the effects of the HCBS programme on ADL and IADL limitations were weaker among those living in the Eastern region, and the effects on ADL limitations were stronger among those living with other people in the same household. Our findings suggest that implementing the HCBS programme can effectively address unmet care needs and delay the decline in functional capability among older adults. However, special attention should be paid to older adults living alone to mitigate the inequalities in functional limitations.

Indexed as

Activities of Daily LivingCommunity Health ServicesHome Care ServicesLong-Term CareAgedAged, 80 and overChinaFemaleHealth Services Needs and DemandHumansLongitudinal StudiesMaleMiddle AgedPilot ProjectsProgram Evaluation

Identifiers

PMID39570825
PMCPMC11581224

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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.