Evidence map›Paper›PMID 36114475›Full record

ArticleBMC geriatrics2022

Factors that dynamically affect provincial incidences of catastrophic health expenditure among middle-aged and elderly Chinese population-transition of disease financial risk protection from global to local.

Xiyu Zhang, Wenqing Miao, Bing Wu, Yongqiang Lai, Mingli Jiao, Qi Xia, Chenxi Zhang, Wanxin Tian, Zhe Song, Linghan Shan and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

17 authors at 3 institutions in 1 country.

Xiyu Zhang *Research Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Wenqing Miao *Research Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Bing WuResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Yongqiang LaiResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Mingli Jiao *Research Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Qi XiaResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Chenxi ZhangResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Wanxin TianResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Zhe SongThe second affiliated hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Linghan ShanSchool of Public Health, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Lingqin HuThe forth affiliated hospital of Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China.
Xinhao HanDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China.
Hui YinSchool of Public Health, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Xiaonan ChengThe second affiliated hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Ye LiResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China. liye8459@163.com.ORCID 0000-0001-8492-1808
Baoguo ShiDepartment of Economics, School of Economics, Minzu University of China, Beijing, 100081, China. bgshi2008@hotmail.com.ORCID 0000-0001-8073-0502
Qunhong WuSchool of Public Health, Harbin Medical University, Harbin, 150086, Heilongjiang, China. wuqunhong@163.com.ORCID 0000-0002-2873-5266
Harbin Medical University · CNFirst Affiliated Hospital of Heilongjiang University of Chinese Medicine · CNMinzu University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe high incidence of catastrophic health expenditure (ICHE) among middle-aged and elderly population is a major deterrent for reducing the financial risk of disease. Current research is predominantly based on the assumption of spatial homogeneity of nationwide population characteristics, ignoring the differences in regional characteristics. Thus, our study aimed to explore the impact of various influencing factors on the ICHE from a spatiotemporal perspective.

methodsWe used data from the China Health and Retirement Longitudinal Study (waves 1 to 4), to conduct a retrospective cohort study across 28 provinces, from 2011 to 2018. We measured regional incidences of catastrophic health expenditure using methods recommended by the World Health Organization. Ordinary least squares (OLS) and geographical and temporal weighted regression (GTWR) were used as the global and local estimation models, respectively. The Fortheringham method was used to test the spatiotemporal non-stationarity.

resultsNational ICHE showed a gradual increase from 2011 to 2015, but suddenly decreased from 2015 to 2018, also showing the spatial heterogeneity. And the southwest area and Hebei showed persistently high ICHE (Qinghai even reached the highest value of 27.5% in 2015). Out-of-pocket payment, gross domestic product, PM

conclusionIn this longitudinal study, we found spatiotemporal non-stationarity among the variable relationships, supporting regional governments' adoption of regional-target policies. First, after the completion of universal health insurance coverage, the spatiotemporal non-stationarity of the prevalence of non-communicable diseases and disability and ageing should be the focus of the next phase of health insurance design, where improvements to compensation coverage and benefit packages are possible policy instruments. Second, the governance and causes of catastrophic health expenditure need to be laid out from a macro perspective rather than only from the individual/household perspective, especially for the potential impact of economic development, air pollution and nursing resources.

Indexed as

Health ExpendituresNoncommunicable DiseasesAgedChinaHumansIncidenceLongitudinal StudiesMiddle AgedParticulate MatterRetrospective StudiesParticulate MatterCatastrophic health expenditureFinancial risk of diseaseHealth insuranceRegional policySpatiotemporal non-stationarity

Identifiers

PMID36114475
PMCPMC9479304
OpenAlexW4296045105

What OpenQuestion holds

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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.