Evidence map›Paper›PMID 30413169›Full record

ArticleBMC health services research2018

A comparative study of catastrophic health expenditure in Zhejiang and Qinghai province, China.

Xuemei Zhen, Hao Zhang, Xiaoqian Hu, Shuyan Gu, Yuanyuan Li, Yuxuan Gu, Minzhuo Huang, Xueshan Sun, Jingming Wei, Hengjin Dong

Abstract readComparative Study
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Household catastrophic health expenditure and its effective factors: a case of Iran.Cost effectiveness and resource allocation : C/E · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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

10 authors.

Xuemei ZhenCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Hao ZhangCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xiaoqian HuCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Shuyan GuCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yuanyuan LiCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yuxuan GuCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Minzhuo HuangCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xueshan SunCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jingming WeiCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Hengjin DongCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. donghj@zju.edu.cn.ORCID http://orcid.org/0000-0002-5064-7297

Funding

National Natural Science Foundation of China 71573229
6 · The paper itself

Abstract

backgroundChina has made great achievements in health insurance coverage and healthcare financing; however, the rate of catastrophic health expenditure (CHE) was 13.0% in China in 2008, which is higher than that in some other countries. There remain some differences in life-style, national customs, medical conditions, and health consciousness in different provinces in China. This study aimed to compare the rates of households with CHE, further to explore the different performance of factors influencing CHE between Zhejiang and Qinghai province, China.

methodsData were derived from the household surveys conducted in Zhejiang and Qinghai. Sampling on multi-stage stratified cluster random method was adopted. Household with CHE occurs when the out-of-pocket payment for health care equals to or exceeds 40% of a household's income. Univariate and multivariate logistic regression analyses were used to identify the performance of factors of CHE.

resultsA total of 1598 households were included in this study, including 995 in Zhejiang and 603 in Qinghai. The average rates of CHE in Zhejiang and Qinghai were 9.6 and 30.5%, respectively. We found that economic status of households and households headed by an employed person are the protective factors for CHE; and number of members with chronic diseases and number of inpatients in household are the risk factors for CHE in the two provinces. Besides, poor/low-insured households in Zhejiang; and households having outpatients and households headed by a minority person in Qinghai are more likely to experience the risk of CHE.

conclusionsThis study highlights the importance of improving economic development, expanding employment, and adjusting policies to make greater efforts to protect chronic diseases patients, outpatients, and inpatients, further to reduce the risk of CHE. The Chinese government should pay more attention to the actual conditions in different provinces, further to make policy decisions according to the local knowledge.

Indexed as

Catastrophic IllnessChinaChronic DiseaseEmploymentFamily CharacteristicsFemaleHealthcare FinancingHealth ExpendituresHumansMaleMiddle AgedSocioeconomic FactorsCatastrophic health expenditureChinaHouseholdQinghai provinceZhejiang province

Identifiers

PMID30413169
PMCPMC6234776

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.