Evidence map›Paper›PMID 24960168›Full record

ArticlePloS one2014

Identifying determinants of socioeconomic inequality in health service utilization among patients with chronic non-communicable diseases in China.

Xin Xie, Qunhong Wu, Yanhua Hao, Hui Yin, Wenqi Fu, Ning Ning, Ling Xu, Chaojie Liu, Ye Li, Zheng Kang and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 4% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Pooled it
  2. Inequalities in Older age and Primary Health Care Utilization in Low- and Middle-Income Countries: A Systematic Review.International journal of health services : planning, administration, evaluation · 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

12 authors at 3 institutions in 2 countries.

Xin XieDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China; Department of Humanities and Social Sciences, Harbin Medical University (Daqing), Daqing, Heilongjiang, People's Republic of China; Modern Health Management Technique Development and Application Laboratory, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Qunhong WuDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China; Modern Health Management Technique Development and Application Laboratory, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Yanhua HaoDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China; Modern Health Management Technique Development and Application Laboratory, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Hui YinDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China; Modern Health Management Technique Development and Application Laboratory, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Wenqi FuDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China; Modern Health Management Technique Development and Application Laboratory, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Ning NingDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China; Modern Health Management Technique Development and Application Laboratory, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Ling XuCentre of Health Statistics and Information, Ministry of Health, Beijing, People's Republic of China.
Chaojie LiuSchool of Public Health, La Trobe University, Melbourne Victoria, Australia.
Ye LiDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China; Modern Health Management Technique Development and Application Laboratory, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Zheng KangDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China; Modern Health Management Technique Development and Application Laboratory, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Changzhi HeDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Guoxiang LiuDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China; Modern Health Management Technique Development and Application Laboratory, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Harbin Medical University · CNDaqing City People's Hospital · CNLa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with chronic non-communicable diseases (NCD) are particularly vulnerable to socioeconomic inequality due to their long-term expensive health needs. This study aimed to assess socioeconomic-related inequality in health service utilization among NCD patients in China and to analyze factors associated with this disparity.

methodsData were taken from the 2008 Chinese National Health Survey, in which a multiple stage stratified random sampling method was employed to survey 56,456 households. We analyzed the distribution of actual use, need-expected use, and need-standardized usage of outpatient services (over a two-week period) and inpatient services (over one-year) across different income groups in 27,233 adult respondents who reported as having a NCD. We used a concentration index to measure inequality in the distribution of health services, which was expressed as HI (Horizontal Inequity Index) for need-standardized use of services. A non-linear probit regression model was employed to detect inequality across socio-economic groups.

resultsPro-rich inequity in health services among NCD patients was more substantial than the average population. A higher degree of pro-rich inequity (HI = 0.253) was found in inpatient services compared to outpatient services (HI = 0.089). Despite a greater need for health services amongst those of lower socio-economic status, their actual use is much less than their more affluent counterparts. Health service underuse by the poor and overuse by the affluent are evident. Household income disparity was the greatest inequality factor in NCD service use for both outpatients (71.3%) and inpatients (108%), more so than health insurance policies. Some medical insurance schemes, such as the MIUE, actually made a pro-rich contribution to health service inequality (16.1% for outpatient and 12.1% for inpatient).

conclusionsInequality in health services amongst NCD patients in China remains largely determined by patient financial capability. The current insurance schemes are insufficient to address this inequity. A comprehensive social policy that encompasses a more progressive taxation package and redistribution of social capital as well as pro-poor welfare is needed.

Indexed as

AdolescentAdultAgedAged, 80 and overChinaChronic DiseaseFemaleHealthcare DisparitiesHealth Care SurveysHealth ServicesHumansMaleMiddle AgedRisk FactorsSocial ClassSocioeconomic Factors

Identifiers

PMID24960168
PMCPMC4069022
OpenAlexW2060915465

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.