Evidence map›Paper›PMID 31842861›Full record

ArticleBMC health services research2019

Inequity in healthcare needs, health service use and financial burden of medical expenditures in China: results from a consecutive household monitoring study in Jiangsu Province.

Weixi Jiang, Xiaolin Xu, Shenglan Tang, Ling Xu, Yaoguang Zhang, Chris Elbers, Frank Cobelens, Lijing Yan

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

8 authors at 7 institutions in 4 countries.

Weixi JiangGlobal Health Research Center, Duke Kunshan University, Kunshan, 215316, China.
Xiaolin XuSchool of Public Health, The University of Queensland, Brisbane, 4006, Australia.
Shenglan TangDuke Global Health Institute, Duke University, Durham, NC, 27710, USA.
Ling XuHealth human Resources Development Center, National Health Commission, Beijing, 100810, China.
Yaoguang ZhangCenter for Health Statistics and Information, National Health Commission, Beijing, 100810, China.
Chris ElbersSchool of Business and Economics, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, Netherlands.
Frank CobelensDepartment of Global Health and Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centers, 1105 BP, Amsterdam, Netherlands.
Lijing YanGlobal Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, China. lijing.yan@dukekunshan.edu.cn.ORCID http://orcid.org/0000-0002-3029-0462
Duke Kunshan University · CNAmsterdam Institute for Global Health and Development · NLDuke University · USNational Development and Reform Commission · CNNational Health and Family Planning Commission · CNThe University of Queensland · AUVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough public medical insurance covers over 95% of the population in China, disparities in health service use and out-of-pocket (OOP) health expenditure across income groups are still widely observed. This study aims to investigate the socio-economic disparities in perceived healthcare needs, informal care, formal care and payment for healthcare and explore their equity implication.

methodsWe assessed healthcare needs, service use and payment in 400 households in rural and urban areas in Jiangsu, China, and included only the adult sample (N = 925). One baseline survey and 10 follow-up surveys were conducted during the 7-month monitoring period, and the Affordability Ladder Program (ALP) framework was adopted for data analysis. Negative binomial/zero-inflated negative binomial and logit regression models were used to explore factors associated with perceived needs of care and with the use of self-treatment, outpatient and inpatient care respectively. Two-part model and logit regression modeling were conducted to explore factors associated with OOP health expenditure and with the likelihood of incurring catastrophic health expenditure (CHE).

resultsAfter adjusting for covariates, rural residence was significantly associated with more perceived healthcare needs, more self-treatment, higher probability of using outpatient and inpatient service, more OOP health expenditure and higher likelihood of incurring catastrophic expenditure (P < 0.05). Compared to the Urban Employee Basic Medical Insurance (UEBMI), enrollment in the New Rural Cooperative Medical Scheme (NRCMS) or in the Urban Resident Basic Medical Insurance (URBMI) was correlated with lower probability of ever using outpatient services, but with more outpatient visits when people were at risk of using outpatient service (P < 0.05). NRCMS/URBMI enrollment was also associated with higher likelihood of incurring CHE compared to UEBMI enrollment (OR = 2.02, P < 0.05); in stratified analysis of the rural and urban sample this effect was only significant for the rural population.

conclusionsThe rural population in Jiangsu perceived more healthcare needs, had a higher probability of using both informal and formal healthcare services, and had more OOP health expenditure and a higher likelihood of incurring CHE. The inequity mainly exists in health care financing, and may be partially addressed through improving the benefit packages of NRCMS/URBMI.

Indexed as

Health Services Needs and DemandAdultAgedAmbulatory CareChinaFemaleHealth Care CostsHealthcare DisparitiesHealth ExpendituresHumansInsurance, HealthLogistic ModelsMaleMiddle AgedNational Health ProgramsRural PopulationEquity in healthcareHealthcare financingHealthcare needsHealth service use

Identifiers

PMID31842861
PMCPMC6916066
OpenAlexW2994832892

What OpenQuestion holds

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LicenceCC BY
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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.