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Analysis of experience of medical care of inpatients in private hospital in Chongqing and its determinants

TAN Hua-wei1，2, CHEN Fei1, ZHANG Pei-lin2, ZHENG Wan-hui2, HUANG Jian1   

  1. 1.Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China; 2.Department of Cost Control Research, Chong Qing Ninth People’s Hospital, Chongqing 400700, China
  • Online:2015-07-28 Published:2015-08-27
  • Supported by:

    Social Sciences Plan Project of Chongqing, 2013YBSH048; Chongqing Public Management Key Discipline Construction Project, X7419

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Abstract:

Objective  To investigate the experience of medical care of inpatients in private hospital in Chongqing and its determinants. Methods  The two-stage random sampling was adopted and questionnaire survey was conduct for 600 inpatients from 20 large private hospitals in major districts of Chongqing. General socioeconomic characteristics, perceived service quality, and overall evaluation of medical care were surveyed. A modified SERVQUAL scale was used to evaluate the quality of medical services. SPSS 21.0 software was used to perform descriptive statistical analysis, exploratory factor analysis, Chi-square test, and ordinal Logistic regression. Results  A total of 552 valid questionnaires were returned and the overall score of experience of medical care of inpatients was 2.45±0.59. Ordinal Logistic regression analysis revealed that age, education level, average monthly household income, prevalence of choice, reliability, responsiveness, and cost were major determinants for evaluating the experience of medical care of inpatients (P<0.05). Conclusion  The overall score of experience of medical care of inpatient in private hospitals in Chongqing is relatively high and should be improved. Managers of private hospitals should take efficient measures to improve the experience of medical care of inpatients according to relevant determinants.

Key words: private hospital, inpatient, experience of medical care, ordinal Logistic regression