Evidence map›Paper›PMID 28962656›Full record

ArticleInternational journal for equity in health2017

Equity in health financing of Guangxi after China's universal health coverage: evidence based on health expenditure comparison in rural Guangxi Zhuang autonomous region from 2009 to 2013.

Xianjing Qin, Hongye Luo, Jun Feng, Yanning Li, Bo Wei, Qiming Feng

Abstract read
In one paragraph

Article in International journal for equity in health, 2017. 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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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.

Xianjing QinSchool of Information And Management, Guangxi Medical University, 22 Shuangyong Road, Qingxiu District, Nanning, Guangxi Zhuang Autonomous Region, China.
Hongye LuoSchool of Information And Management, Guangxi Medical University, 22 Shuangyong Road, Qingxiu District, Nanning, Guangxi Zhuang Autonomous Region, China.
Jun FengSchool of Information And Management, Guangxi Medical University, 22 Shuangyong Road, Qingxiu District, Nanning, Guangxi Zhuang Autonomous Region, China.
Yanning LiSchool of Information And Management, Guangxi Medical University, 22 Shuangyong Road, Qingxiu District, Nanning, Guangxi Zhuang Autonomous Region, China.
Bo WeiSchool of Information And Management, Guangxi Medical University, 22 Shuangyong Road, Qingxiu District, Nanning, Guangxi Zhuang Autonomous Region, China.
Qiming FengSchool of Information And Management, Guangxi Medical University, 22 Shuangyong Road, Qingxiu District, Nanning, Guangxi Zhuang Autonomous Region, China. fengqm1963@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare financing should be equitable. Fairness in financial contribution and protection against financial risk is based on the notion that every household should pay a fair share. Health policy makers have long been concerned with protecting people from the possibility that ill health will lead to catastrophic financial payments and subsequent impoverishment. A number of studies on health care financing equity have been conducted in some provinces of China, but in Guangxi, we found such observation is not enough. What is the situation in Guagnxi? A research on rural areas of Guangxi can add knowledge in this field and help improve the equity and efficiency of health financing, particularly in low-income citizens in rural countries, is a major concern in China's medical sector reform.

methodsSocio-economic characteristics and healthcare payment data were obtained from two rounds of household surveys conducted in 2009 (4634 respondents) and 2013 (3951 respondents). The contributions of funding sources were determined and a progressivity analysis of government healthcare subsidies was performed. Household consumption expenditure and total healthcare payments were calculated and incidence and intensity of catastrophic health payments were measured. Summary indices (concentration index, Kakwani index and Gini coefficient) were obtained for the sources of healthcare financing: indirect taxes, out of pocket payments, and social insurance contributions.

resultsThe overall health-care financing system was regressive. In 2013, the Kakwani index was 0.0013, the vertical effect of all the three funding sources was 0.0001, and some values exceeded 100%, indicating that vertical inequity had a large influence on causing total health financing inequity. The headcount of catastrophic health payment declined sharply between 2009 and 2013, using total expenditure (from 7.3% to 1.2%) or non-food expenditure (from 26.1% to 7.5%) as the indicator of household capacity to pay.

conclusionOur study demonstrates an inequitable distribution of government healthcare subsidies in China from 2009 to 2013, and the inequity was reduced, especially in rural areas. Future healthcare reforms in China should not only focus on expanding the coverage, but also on improving the equity of distribution of healthcare benefits.

Indexed as

Healthcare FinancingRural PopulationCatastrophic IllnessChinaFamily CharacteristicsFinancing, GovernmentFinancing, PersonalHealth Care ReformHealth EquityHealth ExpendituresHumansPovertyUniversal Health InsuranceCatastrophic paymentsExpenditureHealth financing equityRegressiveRural China

Identifiers

PMID28962656
PMCPMC5622556

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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.