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Health measures in prediction models for high sickness absence: single-item self-rated health versus multi-item SF-12.
- Source :
-
European Journal of Public Health . Aug2015, Vol. 25 Issue 4, p668-672. 5p. - Publication Year :
- 2015
-
Abstract
- 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 (X2= 4.294; df = 8) and was more stable over time than the SRH model (model X2= 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 11011262
- Volume :
- 25
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- European Journal of Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 108952929
- Full Text :
- https://doi.org/10.1093/eurpub/cku192