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Summary
A new 19-item Patient Satisfaction Questionnaire was developed using factor analysis. This reliable tool, with a coefficient alpha of .972, effectively measures patient satisfaction across three key factors.
Area of Science:
- Health Services Research
- Psychometrics
Background:
- Patient satisfaction is a critical indicator of healthcare quality.
- Measuring patient satisfaction accurately is essential for service improvement.
Purpose of the Study:
- To develop and validate a psychometrically sound Patient Satisfaction Questionnaire.
- To create a reliable instrument for assessing patient experiences in healthcare settings.
Main Methods:
- Factor analytic techniques were employed for questionnaire development.
- A 19-item scale utilizing a five-point Likert response format was constructed.
- Internal consistency was evaluated using coefficient alpha.
- Content and construct validity were assessed via correlations with criterion items.
Main Results:
- The developed questionnaire demonstrated high internal consistency, with a coefficient alpha of .972.
- Factor analysis identified three distinct factors underlying patient satisfaction.
- Correlations with criterion items supported the questionnaire's validity.
Conclusions:
- The 19-item Patient Satisfaction Questionnaire is a reliable and valid instrument.
- The three-factor structure provides a robust framework for understanding patient satisfaction.
- This tool can be effectively utilized in healthcare research and quality improvement initiatives.