GP and patient predictions of sick-listing duration: how well do they correspond? A prospective
observational study
Sammanfattning
Objective. To explore how well physicians and patients predict sick-listing duration and the
correspondence between their respective predictions. To study possible gender differences
concerning prediction accuracy. Design. Prospective observational study. Setting. Two medium-sized
primary care centres (PCC) in western Sweden. Subjects. GPs at the PCCs and attending patients
sick-listed for > 14 days. Main outcome measures. Sick-listing duration; patients’ and GPs’
predictions of the total duration of the individual patient's sick-listing. Results. A total of 127 patients
(93 women, 34 men, mean age 45 years) and 10 GPs participated in the study. Neither the GPs nor
the patients were able to predict the interval until return to work with high accuracy. The GPs’ and the
patients’ perceptions concurred in only 26% of cases. There was a significant difference in the
correspondence between the GPs’ and patients’ respective predictions of sick-listing duration
compared with the actual duration. GPs’ predictions were more accurate for medium-length duration
(1.5-6 months), while patients’ predictions were more accurate for long-duration (> 6 months) sick-
listing. Patients with less education predicted long duration of sick-listing more accurately than those
with more education. There was no significant difference between male and female patients’ accuracy
of prediction, or between GPs’ accuracy of prediction of male vs. female patients’ sick-listing
duration. Conclusions. Prediction of total sick-listing duration was hard for both GP and patient; their
respective predictions corresponded in only one-quarter of the cases. No gender differences were
observed in the accuracy of prediction.