Evidence map›Paper›PMID 29327366›Full record

ArticleThe International journal of health planning and management2018

Financing elderly people's long-term care needs: Evidence from China.

Fengyue Li, Junko Otani

Open access · hybridAbstract read
In one paragraph

Article in The International journal of health planning and management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
13.7field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. A Systematic Review of Literature on Caregiving Preparation of Adult Children.International journal of environmental research and public health · 2023
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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 at 2 institutions in 2 countries.

Fengyue LiCollege of Marine Culture and Law, Shanghai Ocean University, Shanghai, China.ORCID http://orcid.org/0000-0003-2421-1198
Junko OtaniGraduate School of Human Sciences, Osaka University, Osaka, Japan.
Osaka University of Human Sciences · JPShanghai Ocean University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Confronted by accelerated population aging, China is establishing a long-term care (LTC) system. This study discusses challenges and recommendations for financing China's LTC system. On the basis of the data on elderly people's self-care ability from the Chinese Longitudinal Healthy Longevity Survey, we calculate the size of the elderly population that need LTC for the period from 2015 to 2030 and analyse the increasing tendency of LTC expenses by considering the impact of price increase. We also analyse the local governments' financial capacity for LTC support by comparing the expense level to the fiscal revenue. The study found that aging will double the LTC expenses by 2030. Therefore, this study suggests the establishment of an LTC insurance system that allocates LTC expenses, which are currently borne by individuals and families, more fairly among the government, individuals, and families. Moreover, with the current LTC reforms, implemented primarily by local governments in China, we believe that the central government should bear some of the fiscal responsibility by conducting fiscal transfers to partially support undeveloped regions that are establishing an LTC system.

Indexed as

Financing, GovernmentHealth Services Needs and DemandAgedAged, 80 and overChinaHealth Care SurveysHumansInsurance, Long-Term CareLocal GovernmentLong-Term CareChinadisabilityfinancinglong-term carelong-term care insurance

Identifiers

PMID29327366
PMCPMC6032836
OpenAlexW2783207238

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.