Evidence map›Paper›PMID 33498645›Full record

ArticleInternational journal of environmental research and public health2021

Ranking the Healthcare Resource Factors for Public Satisfaction with Health System in China-Based on the Grey Relational Analysis Models.

XinXin Peng, XiaoLei Tang, YiJun Chen, Jing Hua Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Smoking Bans and Circulatory System Disease Mortality Reduction in Macao (China): Using GRA Models.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Prediction and Analysis of Tourist Management Strategy Based on the SEIR Model during the COVID-19 Period.International journal of environmental research and public health · 2021
    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

4 authors.

XinXin PengSchool of Business, Macau University of Science and Technology, Macao 999078, China.
XiaoLei TangSchool of Business, Macau University of Science and Technology, Macao 999078, China.
YiJun ChenSchool of Business, Macau University of Science and Technology, Macao 999078, China.
Jing Hua ZhangSchool of Business, Macau University of Science and Technology, Macao 999078, China.ORCID 0000-0001-8213-4536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Public satisfaction with the health system is a very important comprehensive indicator. Given the limited healthcare resources in a society, it is always important for policymakers to have full information about the priority and the ranking order of the factors of healthcare resources for improving public satisfaction. (2) Methods: Grey Relational Analysis (GRA) is advantageous for satisfaction analysis because satisfaction is a "grey concept" of "having a clear boundary but vague connotation". The data were from the CGSS and the China Health Statistics Yearbook (2013 and 2015), with a total of 15,969 samples (average satisfaction score = 68.5, age = 51.9, female = 49.4%). (3) Results: The government's percentage of total expenditure on healthcare was ranked as the most important factor for public satisfaction with the health system in China in both 2013 and 2015. The second most important factor changed from "Out-of-pocket percentage of individuals" in 2013 to "Hospital beds per thousand populations" in 2015. Meanwhile, "Healthcare workforce per thousand populations" increased from the least important factor in 2013 to the 3rd in 2015. Disparities in the ranking orders of the factors among regions of China were identified too. (4) Conclusions: The analysis results suggest that during recent years the priority of Chinese residents' healthcare satisfaction for healthcare resources has shifted on the national level from economic affordability to more intensive "people-centered" services, while the regional disparities and gaps need to receive more attention and be further improved in the healthcare reform of next round.

Indexed as

Delivery of Health CarePersonal SatisfactionChinaFemaleHealth Care ReformHealth ExpendituresHumansMiddle AgedGRA modelshealthcare resourcespublic satisfaction with the health system

Identifiers

PMID33498645
PMCPMC7908117

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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.