Aims: To investigate the association of patient, clinician, and general practice factors with long-term certified sickness absence.
Methods: Analysis of a sickness certification database constructed via the use of carbonized sick notes by clinicians at nine general practices in the north-west of England. A total of 3,385 patient sickness episodes certified by 44 general practitioners (GPs) were included in the analysis. Three logistic regression models were constructed in order to estimate independent effects of the patient, GP, and the general practice on risk of long-term (>28 weeks) incapacity.
Results: The logistic regression models explained a maximum of 27% of the variation in long-term certified sickness. The diagnostic reason for the sickness episode explained over 18% of variance, while clinician and general practice effects explained only 3.4% and 2.3% respectively. In all models, older patient age and an episode within the mild mental disorder (MMD) diagnostic category significantly increased the risk of long-term work incapacity.
Conclusions: The study results imply that, rather than basing 'return to work' interventions on identification of individual patient/claimant characteristics or on GP training initiatives, it may be more productive to focus upon a more diagnosis-based approach within primary care itself. Interventions aiming to reduce mild mental disorder-related work incapacity should be given priority.