Evidence map›Paper›PMID 26528993›Full record

ArticleInternational journal of environmental research and public health2015

Evaluation of Rural Primary Health Care in Western China: A Cross-Sectional Study.

Manli Wang, Haiqing Fang, Ghose Bishwajit, Yuanxi Xiang, Hang Fu, Zhanchun Feng

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

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  20. Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method.International journal of environmental research and public health · 2016
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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

6 authors.

Manli WangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China. wangmanli1237@hust.edu.cn.
Haiqing FangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China. fanghaiqing@hust.edu.cn.
Ghose BishwajitSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China. Brammaputram@gmail.com.
Yuanxi XiangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China. stephenhsiang@gmail.com.
Hang FuSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China. fanghaiqing@hust.edu.cn.
Zhanchun FengSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China. zcfeng@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChina's Ministry of Health has enacted Rural Primary Health Care Program (2001-2010) (HCP) guidelines to improve the quality of people's health. However, the program's success in Western China remains unevaluated. Thus, this study aims to begin to fill that gap by analyzing the provision and utilization of Rural Primary Health Care (RPHC) in Western China.

methodsA cross-sectional study was conducted to collect secondary data on the socio-economic characteristics, system construction, services use and implementation of RPHC, and the residents' health status of the sampled areas. Four hundred counties from 31 provinces in China were selected via stratified random sampling, including 171 counties from 12 Western provinces. Twenty-seven analysis indicators, covering system construction, services use and implementation of RPHC were chosen to assess Western China's primary health quality. Analysis of Variance (ANOVA) and Least Significant Difference (LSD) methods were used to measure the RPHC disparities between Western and Eastern and Central China. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to rank Western, Eastern and Central internal provinces regarding quality of their RPHC.

resultsOf the 27 indicators, 13 (48.15%) were below the standard in Western China. These focused on rural health service system construction, Chinese medicine services, and public health. In the comparison between Western, Central and Eastern China, 12 indicators had statistical significance (p < 0.05), and using LSD to compare between Western and Eastern China, all indicators were statistically significant (p < 0.05), demonstrating regional disparities. Xinjiang Province's RPHC ranked highest overall, and Yunnan Province ranked the lowest, indicating the internal differences within the 12 Western provinces; and Western provinces' Ci value was lower than that of Eastern and Central China overall.

conclusionWestern China's RPHC has proceeded well, but remains weaker than that of Eastern and Central China. Differences within Western internal provinces threaten the successful implementation of RPHC.

Indexed as

ChinaCross-Sectional StudiesData Interpretation, StatisticalFemaleHumansPrimary Health CareQuality Indicators, Health CareRural Health ServicesRural PopulationSocioeconomic Factorsdifferencesevaluationrural primary health carewestern China

Identifiers

PMID26528993
PMCPMC4661618

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Registered trials

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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.