Evidence map›Paper›PMID 36502859›Full record

ArticleJournal of the American Medical Directors Association2023

Projecting Long-Term Care Costs for Home and Community-Based Services in China from 2005 to 2050.

Haiyu Jin, Yanfang Su, Yongjing Ping, Sarah Pickersgill, Xi Chen, Xiaoting Liu, David Watkins, Yan Li, Hua Liu, Chenkai Wu

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

10 authors.

Haiyu JinGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; Department of Gerontology, University of Southampton, Southampton, United Kingdom.
Yanfang SuDepartment of Global Health, School of Public Health, University of Washington, Seattle, WA, USA.
Yongjing PingGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China.
Sarah PickersgillDepartment of Global Health, School of Public Health, University of Washington, Seattle, WA, USA.
Xi ChenYale School of Public Health, Yale University, New Haven, CT, USA; Department of Economics, Yale University, New Haven, CT, USA.
Xiaoting LiuDepartment of Social Security & Risk Management, School of Public Affairs, Zhejiang University, Hangzhou, Zhejiang, China.
David WatkinsDepartment of Global Health, School of Public Health, University of Washington, Seattle, WA, USA.
Yan LiDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Hua LiuDepartment of Neurosurgery, The Affiliated Kunshan Hospital of Jiangsu University, Suzhou, Jiangsu, China.
Chenkai WuGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China. Electronic address: chenkai.wu@dukekunshan.edu.cn.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
A Life Course Approach to Understanding Racial and Ethnic Disparities in Alzheimer's Disease and Related Dementias and Health CareR01AG077529 · NIA · YALE UNIVERSITY · PI Xi Chen · 2022 to 2026
$3.6M
Social Pension, Health, and Healthy AgingK01AG053408 · NIA · YALE UNIVERSITY · PI CHEN, XI · 2018 to 2021
$514k
NIA NIH HHS K01 AG053408NIA NIH HHS P30 AG021342NIA NIH HHS R01 AG077529
6 · The paper itself

Abstract

objectivesThe aim of this study was to estimate and project the trend in long-term care (LTC) costs for home and community-based services as a percentage of gross domestic product in China between 2005 and 2050.

designLongitudinal. SETTING AND

participantsWe used 61,249 observations from 37,702 adults age ≥65 years from waves 2005, 2008, 2011, 2014, and 2018 of the Chinese Longitudinal Healthy Longevity Surveys.

methodsLTC costs for home and community-based services consisted of the monetary value of time spent on LTC and the direct LTC cost. We used the age-sex-residence-specific weights provided by the Chinese Longitudinal Healthy Longevity Surveys to estimate the LTC costs from 2005 to 2018. We used a component-based model to project LTC costs, in which the 2-part model was used to estimate the average LTC costs and the multi-state Markov model approach was used to project the future population by age, sex, and disability state.

resultsThe percentage of older adults with disabilities was projected to increase from 6.1% in 2005 to 7.5% in 2020 and 9.6% in 2050. The total LTC cost for home and community-based services were projected to increase from 0.3% of gross domestic product in 2005 to 0.7% in 2020 and to 6.4% in 2050. CONCLUSIONS AND IMPLICATIONS: Policymakers in China should take urgent actions to delay the onset of disabilities among older adults, which would curb the increasing LTC costs and maintain the sustainability of the LTC policies.

Indexed as

Home Care ServicesPersons with DisabilitiesAgedChinaCommunity Health ServicesHealth StatusHumansLong-Term CareCLHLSdisability rateLong-term care policyMarkov modeltwo-part model

Identifiers

PMID36502859
PMCPMC10134410

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.