Parallel trend checks (without matching).

<div><p>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 (<i>N</i> = 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.</p></div>

Publication Details

Journal
Figshare
Published
2024-11-21
DOI
https://doi.org/10.1371/journal.pone.0311616.s008
Primary Topic
Intergenerational Family Dynamics and Caregiving
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parallel trend checks (without matching).

Figshare
Intergenerational Family Dynamics and Caregiving
article

Parallel trend checks (without matching).

article en

Abstract

<div><p>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 (<i>N</i> = 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.</p></div>

Figshare
Openalex Percentile: Top 39%
Intergenerational Family Dynamics and Caregiving
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.