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A randomized trial of four patient satisfaction questionnaires
Thomas V Perneger1, Michel P Kossovsky, Federico Cathieni
1Quality of Care Unit, Geneva University Hospitals, Geneva, Switzerland. thomas.perneger@hcuge.ch
Medical Care
|December 12, 2003
Summary
This study compared four patient satisfaction questionnaires, finding no single instrument superior. All four questionnaires are suitable for hospital patient satisfaction surveys, offering flexibility in instrument selection.
Area of Science:
- Healthcare research
- Health services research
- Patient experience measurement
Background:
- Hospitals increasingly utilize patient satisfaction surveys.
- A lack of evidence exists to guide the selection of the most appropriate survey instrument.
- Comparing available patient satisfaction questionnaires is crucial for effective implementation.
Purpose of the Study:
- To evaluate and compare the acceptability and patient perceptions of four distinct patient satisfaction questionnaires.
- To provide evidence-based guidance for selecting patient satisfaction survey instruments.
Main Methods:
- A randomized trial involving 2850 patients discharged from two Swiss teaching hospitals.
- Comparison of four questionnaires: Picker, Patient Judgment System (PJS), Sequs, and a Lausanne-developed questionnaire.
- Assessment of response rates, missing data, completion time, and patient ratings.
Main Results:
- Response rates were comparable across all four questionnaires (68-73%).
- The Picker questionnaire exhibited higher missing data rates and longer completion times compared to others.
- Despite longer completion times, the Picker questionnaire had fewer patients reporting unaddressed aspects of their hospital stay.
Conclusions:
- No single patient satisfaction questionnaire demonstrated uniform superiority in acceptability or patient evaluations.
- All four evaluated questionnaires are deemed suitable for use in hospital patient satisfaction surveys.
- The choice of questionnaire may depend on specific institutional priorities regarding data completeness and patient-reported aspects.