Evidence map›Paper›PMID 34683026›Full record

ArticleHealthcare (Basel, Switzerland)2021

Decoupling of Elderly Healthcare Demand and Expenditure in China.

Shangguang Yang, Danyang Wang, Wenhui Li, Chunlan Wang, Xi Yang, Kevin Lo

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  7. The Unmet Medical Demand among China's Urban Residents.International journal of environmental research and public health · 2021
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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

6 authors.

Shangguang YangEconomic Development Institute, East China University of Science and Technology, Shanghai 200237, China.
Danyang WangSchool of Business, East China University of Science and Technology, Shanghai 200237, China.ORCID 0000-0003-0897-1314
Wenhui LiSchool of Business, East China University of Science and Technology, Shanghai 200237, China.
Chunlan WangChinese Modern City Research Center, School of Social Development, East China Normal University, Shanghai 200062, China.
Xi YangDavid C. Lam Institute for East-West Studies, Hong Kong Baptist University, Hong Kong 999077, China.ORCID 0000-0002-3374-0174
Kevin LoDepartment of Geography, Hong Kong Baptist University, Hong Kong 999077, China.ORCID 0000-0001-7721-4726

Funding

National Natural Science Foundation of China 71874054Shanghai Municipal Education Commission 2017-01-07- 00-02-E00008Shanghai Soft Science Foundation 19692109100
6 · The paper itself

Abstract

This study examined the changing trajectory and factors that influenced the health and medical expenditure of the Chinese elderly population over the past two decades. Based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) from 1998 to 2018, inferential and multiple linear regression models were constructed. The key finding is that China has experienced a decoupling of healthcare demand (HCD) and healthcare expenditure (HCE) since around 2014, when HCE began to decline despite the fact that HCD continued to rise. This is a promising sign, suggesting that the government's health insurance policy is working. Furthermore, participating in health insurance schemes can significantly reduce the elderly's HCD and HCE, demonstrating that health insurance can effectively affect the elderly's decision to seek medical treatment and improve their health condition. We also found that age, region, basic old-age insurance, and care by the government and institutions were significant factors that influenced the healthcare demand and expenditure of the elderly population.

Indexed as

Chinahealthcare demandhealthcare expenditurepopulation aging

Identifiers

PMID34683026
PMCPMC8544591

What OpenQuestion holds

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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.