Evaluating Primary Health Care Performance from User Perspective in China: Review of Survey Instruments and Implementation Issues

Int J Environ Res Public Health. 2019 Mar 14;16(6):926. doi: 10.3390/ijerph16060926.

Abstract

This review aims to summarize the progress of patient evaluation studies focusing on primary health care (PHC) in China, specifically in relation to survey instruments and implementation issues. Eligible studies published in English or Chinese were obtained through online searches of PubMed and China National Knowledge Infrastructure. A descriptive reporting approach was used due to variations in the measurements and administration methods between studies. A total of 471 articles were identified and of these articles; of those 91 full-text articles were included in the final analysis. Most studies used author-developed measurements with five-point Likert response scales and many used the Chinese translations of validated tools from other countries. Most instruments assessed the physical environment, medical equipment, clinical competency and convenience aspects of PHC using a satisfaction rating instead of care experience reporting. Many studies did not report the sampling approach, patient recruitment procedures and survey administration modes. The patient exit survey was the most commonly used survey implementation method. The focus on the structural dimensions of PHC, inconsistent wording, categories of response options that use satisfaction rating, and unclear survey implementation processes are common problems in patient evaluation studies of PHC in China. Further studies are necessary to identify population preferences of PHC in China in order to move towards developing Chinese value-based patient experience measurements.

Keywords: China; patient survey; performance evaluation; primary health care; user experience.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • China
  • Needs Assessment / statistics & numerical data*
  • Patient Reported Outcome Measures*
  • Primary Health Care / statistics & numerical data*