Casting light on the concept of patient satisfaction by studying the construct validity and the sensitivity of a questionnaire

Páll Biering*, Heather Becker, Amy Calvin, Susan J. Grobe

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose - This study aims to explore the construct validity and the sensitivity of a patient satisfaction questionnaire for the purpose of gaining a better understanding of the concept, and of issues surrounding its measurements. Design/methodology/approach - Several statistical analyses were used to study the reliability, construct validity, and the sensitivity of a patient satisfaction questionnaire. Findings - The study supported the construct validity, high internal consistency, and homogeneity of the instrument. Two factors were found; one consisted of negatively worded items and the other of positively worded items. The negatively worded items contributed more than the positively worded items to the sensitivity of the instrument. Items were identified that contribute little or nothing to the construct validity and/or the sensitivity of the questionnaire. Research limitations/implications - The effect of wording on the variability and sensitivity of the instrument can be explained both as a consequence of response set bias and with regard to the theories against which two phenomena were being measured - patient satisfaction and patient dissatisfaction. The development of two kinds of instruments is proposed: those that measure patient dissatisfaction and are sensitive to minute changes in nursing care and those that measure both concepts and capture what patients find important in their care. Originality/value - The paper demonstrates how an analysis of the construct validity and the sensitivity of patient satisfaction instrument, can enhance understanding of the concept. It contributes to the debate about whether patient satisfaction and dissatisfaction are opposite ends of the same continuum or two different phenomena that require two different definitions.

Original languageEnglish
Pages (from-to)246-258
Number of pages13
JournalInternational Journal of Health Care Quality Assurance
Volume19
Issue number3
DOIs
Publication statusPublished - 2006

Other keywords

  • Data analysis
  • Patients
  • Sensitivity analysis
  • Statistics
  • Surveys

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