Evidence map›Paper›PMID 29065129›Full record

ArticlePloS one2017

An equity analysis of health examination service utilization by women from underdeveloped areas in western China.

Yuyan Qian, Jianmin Gao, Zhongliang Zhou, Ju'e Yan, Yongjian Xu, Xiaowei Yang, Yanli Li

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Yuyan QianSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.ORCID http://orcid.org/0000-0003-3577-5415
Jianmin GaoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Ju'e YanSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Yongjian XuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Xiaowei YangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Yanli LiSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study sought to examine the sources of inequity in health examination service utilization by women from underdeveloped areas in western China.

methodsBased on data from the 5th National Health Service Survey in Shaanxi province, women's utilization of health examination services was examined according to gynecological, cervical smear, and breast examination rates. The equity of health examination service utilization by 15- to 64-year-old women and the factors contributing to inequity were determined using the health concentration index, decomposition of the concentration index, and the horizontal inequity index.

resultsThe examination rates for gynecological, cervical smear, and breast exams for 15- to 64-year-old women in Shaanxi province were 40.61%, 27.08%, and 24.59%, respectively. The horizontal inequity indices of gynecological, cervical smear, and breast examination rates were 0.0480, 0.0423, and 0.0764, respectively, and each examination rate was higher for wealthy individuals. The contribution rates of economic status to the inequalities in gynecological, cervical smear, and breast examination rates were 65.80%, 74.31%, and 56.49%, respectively. The contribution rates of educational status to the inequalities in gynecological, cervical smear, and breast examination rates were 21.01%, 14.83% and 30.00%, respectively. The contribution rates of age to the inequalities in gynecological, cervical smear, and breast examination rates were 25.77%, 26.55%, and 18.40%, respectively.

conclusionsWomen's health examination rates differed between populations with different socio-demographic characteristics. There is pro-wealth inequality in each examination rate. This study found that financial status, age, and education level were the main reasons for the unequal utilization of health examination services.

Indexed as

Medically Underserved AreaPhysical ExaminationAdolescentAdultChinaFemaleHealthcare DisparitiesHumansMiddle AgedPapanicolaou TestWomen's Health ServicesYoung Adult

Identifiers

PMID29065129
PMCPMC5655443

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LicenceCC BY
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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.