Health measures in prediction models for high sickness absence: single-item self-rated health versus multi-item SF-12

C.A.M. Roelen, M.W. Heymans, J.W.R. Twisk, M. Laaksonen, S. Pallesen, N. Mageroy, B.E. Moen, B. Bjorvatn

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Background: Self-rated health (SRH) has been found to predict sickness absence (SA). The present study investigated the effect of replacing single-item SRH by a multi-item health measure on SA predictions. Methods: Longitudinal study of 2059 Norwegian nurses with assessments in three waves each separated by 1 year. Health was measured by single-item SRH and multi-item SF-12 in waves 1 and 2. SA was self-reported in all three waves and high SA was defined as more than or equal to 31 SA days within the last 12 months. Predictions of high SA by a model including age, prior SA and single-item SRH were compared with predictions by a model including age, prior SA and multi-item SF-12. Both models were bootstrapped to correct for over-optimism and prospectively validated for their predictions in a new time frame. Results: 1253 nurses (61%) had complete data for analysis. The SF-12 model predicted the risk of high SA more accurately (χ2 = 4.294; df = 8) and was more stable over time than the SRH model (model χ2 = 14.495; df = 8). Both prediction models correctly discriminated between high-risk and low-risk individuals in 73% of the cases at wave 2 and in 71% of the cases at wave 3. Conclusions: The accuracy of predictions increased when single-item SRH was replaced by multi-item SF-12, but the discriminative ability did not improve. Single-item SRH suffices to identify employees at increased risk of high SA.
Original languageEnglish
Pages (from-to)668-672
JournalEuropean Journal of Public Health
Issue number4
Publication statusPublished - 2015

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