Evidence map›Paper›PMID 35493377›Full record

ArticleFrontiers in public health2022

Inequity in Health Services Utilization in Economically Underdeveloped Regions of Northeast China.

Xin Zhang, Ning Ning, Hongguo Zhou, Linghan Shan, Yanhua Hao, Mingli Jiao, Libo Liang, Zheng Kang, Ye Li, Huan Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

15 authors at 2 institutions in 1 country.

Xin ZhangDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Ning NingDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Hongguo ZhouOffice of Educational Administration, Ningbo College of Health Sciences, Ningbo, China.
Linghan ShanDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Yanhua HaoDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Mingli JiaoDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Libo LiangDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Zheng KangDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Ye LiDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Huan LiuDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Baohua LiuSchool of Health Services and Management, Ningbo College of Health Sciences, Ningbo, China.
Kexin WangDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Adelina RuzievaDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Lijun GaoDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Qunhong WuDepartment of Health Policy, School of Health Management, Harbin Medical University, Harbin, China.
Harbin Medical University · CNNingbo College of Health Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Chinese health system has long been committed to eliminating inequalities in health services utilization. However, few studies have analyzed or measured these inequalities in economically underdeveloped regions in China. Methods: A total of 6,627 respondents from 3,000 households in Heilongjiang Province were extracted from the Sixth National Health Services Survey. We measured horizontal inequity in both 2-week outpatient rate and annual inpatient rate, and then identified the factors contributing to inequality. Results: The horizontal inequity indices of the 2-week outpatient and annual impatient rates in Heilongjiang Province were 0.0586 and 0.1276, respectively. Household income, health status, place of residence, basic medical insurance, and commercial health insurance were found to be the main factors affecting inequality in health services utilization. The contributions of household income to these two indices were 184.03 and 253.47%, respectively. Health status factors, including suffering from chronic disease, limitations in daily activities, and poor self-rated health, played positive roles in reducing inequality in these two indices. The contributions of place of residence to these two indices were 27.21 and -28.45%, respectively. Urban Employee Basic Medical Insurance made a pro-rich contribution to these two indices: 56.25 and 81.48%, respectively. Urban and Rural Resident Basic Medical Insurance, Urban Resident Basic Medical Insurance, New Rural Cooperative Medical Scheme, and other basic medical insurance made a pro-poor contribution to these two indices: -73.51 and -54.87%, respectively. Commercial health insurance made a pro-rich contribution to these two indices: 20.79 and 7.40%, respectively. Meanwhile, critical illness insurance made a slightly pro-poor contribution to these two indices: -4.60 and -0.90%, respectively. Conclusions: The findings showed that the "equal treatment in equal need" principle was not met in the health services utilization context in Heilongjiang Province. To address this issue, the government could make policy changes to protect low-income populations from underused health services, and work to improve basic medical insurance, critical illness insurance, and social security systems.

Indexed as

Facilities and Services UtilizationHealthcare DisparitiesChinaCritical IllnessHumansSocioeconomic Factorscritical illness insurancehealthcare utilizationhorizontal inequity indexinequalityinequity

Identifiers

PMID35493377
PMCPMC9051237
OpenAlexW4224032045

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.