Article Text

Download PDFPDF

General medical practice in China: evaluation of urban community health care service functions based on a rough set reduction theory
  1. Liqing Li1,
  2. Xiaojun Zhou2 and
  3. Zhongjie Li2
  1. 1School of Economics and Management, Jiangxi Science & Technology Normal University, Nanchang 330031, Jiangxi Province, China
  2. 2School of Public Health, Medical College of Nanchang University, Nanchang, China
  1. Corresponding author: Xiaojun Zhou, School of Public Health, Medical College of Nanchang University, Nanchang 330006, Jiangxi Province, China, E-mail: zxj12zxj{at}sohu.com

Abstract

Objective This study aims to achieve an empirical evaluation on the functional performances of urban community health care services in five administrative districts of Nanchang city in China.

Methods In order to increase effectiveness, data collected from five administrative districts of Nanchang city were processed to exclude redundant information. Rough set reduction theory was brought in to evaluate the performances of community health care services in these districts through calculating key indices’ weighed importance.

Results Comprehensive evaluation showed the score rankings from high to low as Qingyunpu district, Xihu district, Qingshanhu district, Donghu district, and Wanli district.

Conclusion The objective performance evaluation had actually reflected the general situation (including social-economic status) of community health care services in these administrative districts of Nanchang. Attention and practical works of community health service management were needed to build a more harmonious and uniform community health care service system for residents in these districts of Nanchang.

  • Community health care service
  • Empirical evaluation
  • Rough set reduction theory
  • Redundant information
  • Health service management

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.