How Doctors Decide on Sick Leave
Author Information
Author(s): Norrmén Gunilla, Svärdsudd Kurt, Andersson Dan KG
Primary Institution: Uppsala University
Hypothesis
The study investigates the influence of medical factors and functioning on the probability of sick listing.
Conclusion
The strongest predictors for sickness certification were the patient's and GP's assessment of reduced work capacity, with a notable agreement between the two.
Supporting Evidence
- Patients' and GPs' assessments of work capacity were highly concordant.
- Patients with locomotor complaints had a higher likelihood of being sick listed.
- Non-somatic complaints increased the risk of receiving a sick note.
Takeaway
Doctors and patients often agree on whether someone can work, and when they do, most patients get a sick note.
Methodology
The study involved documenting 474 patient-physician consultations using questionnaires to assess medical factors and functioning.
Potential Biases
Potential biases may arise from the subjective nature of assessments by both physicians and patients.
Limitations
The study was conducted in 1996, and the findings may not reflect current practices or changes in sick leave rates.
Participant Demographics
Participants included patients aged 18-64, with a majority being Swedish speaking and a mix of educational backgrounds.
Statistical Information
P-Value
p<0.005
Confidence Interval
99.5%
Statistical Significance
p<0.005
Digital Object Identifier (DOI)
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