The development and validation of the Concise Outpatient Department User Satisfaction Scale

Int J Qual Health Care. 2006 Aug;18(4):275-80. doi: 10.1093/intqhc/mzl022. Epub 2006 Jul 19.

Abstract

Objective: To develop and validate a concise scale for measuring outpatient satisfaction suitable across specialties and cultures.

Design: &

Setting: Item generation adopted a concept-driven approach, and 10 candidate items were administered together with a battery of validation items and scales in a cross-sectional survey at a government-aided Chinese medicine specialized outpatient department in Hong Kong.

Participants: About 344 consenting patients or their accompanying caregivers were recruited upon their first visit at the clinic and interviewed one month thereafter.

Results: The overall response rate was 79%. After deleting one item (physician's manner and attitude) for its redundancy suggested by interitem correlations, exploratory factor analysis yielded two factors, General Service and Case Physician, explaining 75% of variance of the remaining nine items. The internal consistency coefficients of the whole scale and the two subscales were higher than 0.90. Criterion-related validity was supported by high correlations with three anchor items, overall satisfaction, intended future reutilization, and recommendation to others (r = 0.38-0.85). Significant correlations with compliance and negative affects provided preliminary evidence for construct validity.

Conclusion: The psychometric properties of the resulting 9-item scale supported its usefulness in measuring outpatient satisfaction. Further validation studies in various specialties and countries are suggested to make future cross-cultural comparisons possible.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Attitude of Health Personnel
  • Cross-Sectional Studies
  • Cultural Characteristics
  • Female
  • Hongkong
  • Humans
  • Male
  • Medicine
  • Patient Satisfaction / statistics & numerical data*
  • Psychometrics
  • Reproducibility of Results
  • Specialization
  • Surveys and Questionnaires*