Lisa C Bosman1, Jos W R Twisk, Anna S Geraedts, Martijn W Heymans. 1. Amsterdam UMC, Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam (Ms Bosman, Dr Twisk, Dr Heymans); ArboNed Occupational Health Service, Utrecht (Ms Bosman, Dr Geraedts), The Netherlands.
Abstract
OBJECTIVE: The aim of this study was to develop a prediction model for the prognosis of sick leave due to low back pain (LBP). METHODS: This is a cohort study with 103 employees sick-listed due to non-specific LBP and spinal disc herniation. A prediction model was developed based on questionnaire data and registered sick leave data with follow up of 180 days. RESULTS: At follow up 31 (30.1%) employees were still sick-listed due to LBP. Forward selection procedure resulted in a model with: catastrophizing, musculoskeletal work load, and disability. The explained variance was 27.3%, calibration was adequate and discrimination was fair with area under the ROC-curve (AUC) = 0.761 (interquartile range [IQR]: 0.755-0.770). CONCLUSION: The prediction model of this study can adequately predict LBP sick leave after 180 days and could be used for employees sick listed due LBP.
OBJECTIVE: The aim of this study was to develop a prediction model for the prognosis of sick leave due to low back pain (LBP). METHODS: This is a cohort study with 103 employees sick-listed due to non-specific LBP and spinal disc herniation. A prediction model was developed based on questionnaire data and registered sick leave data with follow up of 180 days. RESULTS: At follow up 31 (30.1%) employees were still sick-listed due to LBP. Forward selection procedure resulted in a model with: catastrophizing, musculoskeletal work load, and disability. The explained variance was 27.3%, calibration was adequate and discrimination was fair with area under the ROC-curve (AUC) = 0.761 (interquartile range [IQR]: 0.755-0.770). CONCLUSION: The prediction model of this study can adequately predict LBP sick leave after 180 days and could be used for employees sick listed due LBP.
Authors: Lene Aasdahl; Fredrik Granviken; Ingebrigt Meisingset; Astrid Woodhouse; Kari Anne I Evensen; Ottar Vasseljen Journal: BMC Musculoskelet Disord Date: 2021-05-19 Impact factor: 2.362
Authors: Ansam Barakat; Matthijs Blankers; Jurgen E Cornelis; Louk van der Post; Nick M Lommerse; Aartjan T F Beekman; Jack J M Dekker Journal: Front Psychiatry Date: 2021-02-05 Impact factor: 4.157