Understanding Patient and Physician Satisfaction Ratings
Author Information
Author(s): Hirsch Oliver, Keller Heidemarie, Albohn-Kühne Christina, Krones Tanja, Donner-Banzhoff Norbert
Primary Institution: Department of General Practice/Family Medicine, University of Marburg, Germany
Hypothesis
The study aims to evaluate methodological difficulties in calculating the correspondence between patient and physician satisfaction ratings and their relevance for shared decision making research.
Conclusion
Traditional statistical measures do not adequately capture the clinically relevant appreciation of the physician-patient relationship in skewed satisfaction ratings.
Supporting Evidence
- Patients generally rated their satisfaction higher than physicians did.
- The study found significant differences in satisfaction ratings between patients and physicians.
- The Bland-Altman method provided a better understanding of the agreement between ratings than traditional statistical measures.
- High ceiling effects were observed in patient satisfaction ratings.
- Statistical measures indicated low correspondence between patient and physician satisfaction ratings.
Takeaway
Doctors and patients often have different views on how satisfied they are after a visit, and this study shows that the usual ways of measuring this might not be very helpful.
Methodology
The study used a structured tool for cardiovascular prevention in a cluster-randomised controlled trial, assessing satisfaction ratings with various statistical tests.
Potential Biases
Potential biases may arise from the skewed nature of satisfaction ratings and the methods used to analyze them.
Limitations
The study's findings may not generalize beyond the specific context of shared decision making in primary care.
Participant Demographics
The study involved 44 physicians and 550 patients in the intervention group, and 47 physicians and 582 patients in the control group.
Statistical Information
P-Value
<0.001
Confidence Interval
95% CI: -1.12 to -0.92 for lower limit, 95% CI: +1.60 to +1.81 for upper limit
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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