Validation of inpatient experience questionnaire

Int J Qual Health Care. 2013 Sep;25(4):443-51. doi: 10.1093/intqhc/mzt034. Epub 2013 May 19.

Abstract

Objective: A validation survey was carried out in this study to assess the acceptability, validity and reliability of the Hong Kong Inpatient Experience Questionnaire (HKIEQ), which was newly developed to measure patient experiences of hospital care in Hong Kong (HK).

Design: Cross-sectional validation survey.

Main outcome measures: Principal component exploratory factor analysis assessed the construct validity of the questionnaire. Cronbach's alpha coefficients and Spearman's rank correlation coefficient estimated the reliability of the instrument. Acceptability of the questionnaire regarding the percentage of missing value of individual items was also assessed.

Results: A total of 511 patients discharged from public hospitals in HK were interviewed. Low percentage of missing value (0.2 to 21.3%) showed high acceptability. Nine dimensions of hospital care explaining 75.4% of the variance were derived from factor analysis and content validity. These items showed satisfactory internal reliability consistency (0.49 to 0.97). Test-retest reliability ranged from 0.36 to 0.96.

Conclusions: The HKIEQ performed well on several psychometric indicators and is a promising measure of patient experience with public hospital inpatient care in HK. The findings provided important insight on developing tools to measure patient experience in hospitals to improve the quality of care and to lay the foundation for further research on patient expectations and needs regarding hospitalization.

Keywords: patient experiences; patient satisfaction; quality improvement; quality measurement.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Cross-Sectional Studies
  • Female
  • Health Services Research
  • Health Status
  • Hong Kong
  • Hospital Administration / statistics & numerical data*
  • Humans
  • Inpatients*
  • Male
  • Middle Aged
  • Patient Satisfaction / statistics & numerical data*
  • Quality Improvement
  • Quality Indicators, Health Care
  • Quality of Health Care / statistics & numerical data*
  • Reproducibility of Results
  • Socioeconomic Factors