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GP and patient predictions of sick-listing duration: How well do they correspond? A prospective observational study

Journal article
Authors Monica Ericson Sjöström
Inger Wallin
Elisabeth Strandhagen
Amir Baigi
Gunnel Hensing
Cecilia Björkelund
Published in Scandinavian Journal of Primary Health Care
Volume 32
Issue 2
Pages 73-77
ISSN 0281-3432
Publication year 2014
Published at Institute of Medicine, Department of Public Health and Community Medicine
Institute of Medicine
Pages 73-77
Language en
Links dx.doi.org/10.3109/02813432.2014.91...
Keywords General practice, prediction, primary care, sickness absence, sickness certification, sick-listing, GENERAL-PRACTITIONERS, CERTIFICATION, PHYSICIANS, WORK, ABSENCE, COUNTY, SYSTEM, RETURN, LEAVE, BACK, Health Care Sciences & Services, Primary Health Care
Subject categories Family Medicine

Abstract

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.

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