Predicting job loss in those off sick


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Abstract

BackgroundEvidence shows incapacity benefit claimants (those off sick >26 weeks) are at greatest risk of long-term job loss.AimTo develop a screening tool to select those at risk of job loss, defined as failure to return to work among those off sick. The screening tool was for use in the Job Retention and Rehabilitation Pilot of the Department for Work and Pensions.MethodsA literature review identified risks for long-term incapacity and job loss as multifactorial [1]. Potential predictors for return to work were then assembled into a set of questions and tested by a prospective study in general practice surgeries and a retrospective study of occupational health records of local authority employees referred for sickness absence management, using univariate and multivariate logistic regression analysis.ResultsUnivariate logistic regression analysis of the retrospective study produced odds ratios with 95% confidence intervals for each question (where P ≤ 0.05) and a C-index was then constructed for their predictive power. Five questions holding the greatest predictive power were subjected to multivariate analysis and in the final model had a high C-index of 0.90 (0.5=no predictive power, 1.0=perfect prediction). They formed the screening tool. The questions cover self-assessment of ability to return to work after current sick leave, of ability to do current job in 6 months’ time, sick leave in past year, current age and whether awaiting a consultation or treatment.ConclusionA screening tool identifying those most at risk of job loss has been produced.

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