Evidence map›Paper›PMID 30458772›Full record

ArticleBMC health services research2018

Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China.

Xin Lan, Zhongliang Zhou, Yafei Si, Chi Shen, Xiaojing Fan, Gang Chen, Dantong Zhao, Xi Chen

Open access · goldAbstract read
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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Out-of-Pocket Health Expenditures Associated with Chronic Health Conditions and Disability in China.International journal of environmental research and public health · 2023
    Article
  4. Article
  5. Impoverishing effects of out-of-pocket healthcare expenditures in India.Journal of family medicine and primary care · 2022
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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 3 institutions in 3 countries.

Xin LanSchool of Public Health, Xi'an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi'an, 710061, Shaanxi, China.ORCID http://orcid.org/0000-0002-0330-8081
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, 710049, Shaanxi, China. zzliang1981@mail.xjtu.edu.cn.
Yafei SiSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, 710049, Shaanxi, China.
Chi ShenSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, 710049, Shaanxi, China.
Xiaojing FanSchool of Public Health, Xi'an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi'an, 710061, Shaanxi, China.
Gang ChenCenter for Health Economics (CHE), Monash University, Melbourne, Australia.
Dantong ZhaoSchool of Public Health, Xi'an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi'an, 710061, Shaanxi, China.
Xi ChenDepartment of Health Policy and Management and Department of Economics, Yale University, 60 College Street Suite 301, New Haven, CT, 06510, USA.
Xi'an Jiaotong University · CNMonash University · AUYale University · US

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Social Pension, Health, and Healthy AgingK01AG053408 · NIA · YALE UNIVERSITY · PI CHEN, XI · 2018 to 2021
$514k
Old-Age Pension, Household Behavior Change and the Well-being of the EderlyR03AG048920 · NIA · YALE UNIVERSITY · PI CHEN, XI · 2014 to 2015
$328k
NIA NIH HHS K01 AG053408NIA NIH HHS P30 AG021342NIA NIH HHS R03 AG048920the Basic Scientific Research Funding of Xi'an Jiaotong University SK2015007the National Natural Science Foundation 71874137the National Program for Support of Top-notch Young Professionals and China Medical Board 15-227the Research Program of Shaanxi Soft Science 2015KRM117
6 · The paper itself

Abstract

backgroundChronic disease has become one of the leading causes of poverty in China, which posed heavy economic burden on individuals, households and society, and accounts for an estimated 80% of deaths and 70% of disability-adjusted life-years lost now in China. This study aims to assess the effect of chronic diseases on health payment-induced poverty in Shaanxi Province, China.

methodsThe data was from the 5th National Health Survey of Shaanxi Province, which was part of China's National Health Service Survey (NHSS) conducted in 2013. Totally, 20,700 households were selected for analysis. We used poverty headcount, poverty gap and mean positive poverty gap to assess the incidence, depth and intensity of poverty before and after health payment, respectively. Logistic regression models were further undertaken to evaluate the influence of percentage of chronic patients in households on the health payment-induced poverty with the control of other covariates.

resultsIn rural areas, the incidence of poverty increased 31.90% before and after health payment in the household group when the percentage of chronic patients in the households was 0, and the poverty gap rose from 932.77 CNY to 1253.85 CNY (50.56% increased). In the group when the percentage of chronic patients in the households was 1-40% and 41-50%, the poverty gap increased 76.78 and 89.29%, respectively. In the group when the percentage of chronic patients in the households was 51~ 100%, the increase of poverty headcount and poverty gap was 49.89 and 46.24%. In the logistic model, we found that the proportion of chronic patients in the households was closely related with the health payment-induced poverty. The percentage of chronic disease in the households increased by 1 %, the incidence of poverty increased by 1.01 times. On the other hand, the male household head and the household's head with higher educational lever were seen as protective factors for impoverishment.

conclusionsWith the percentage of chronic patients in the households growing, the health payment-induced poverty increases sharply. Furthermore, the households members with more chronic diseases in rural areas were more likely to suffer poverty than those in urban areas. Our analysis emphasizes the need to protect households from the impoverishment of chronic diseases, and our findings will provide suggestions for further healthcare reforms in China and guidance for vulnerable groups.

Indexed as

AdultChinaChronic DiseaseFamily CharacteristicsFemaleHealth Care ReformHealth ExpendituresHealth SurveysHumansLogistic ModelsMaleNational Health ProgramsPersons with DisabilitiesPovertyQuality-Adjusted Life YearsRural HealthChinaChronic diseasesHealth payment-induced povertyLogistic modelNHSS

Identifiers

PMID30458772
PMCPMC6245518
OpenAlexW2901767506

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.