Development of Prediction Model for the Prognosis of Sick Leave Due to Low Back Pain
| Autor: | Martijn W. Heymans, Lisa C. Bosman, Anna S. Geraedts, Jos W. R. Twisk |
|---|---|
| Přispěvatelé: | Methodology and Applied Biostatistics, Graduate School, Surgery, ACS - Atherosclerosis & ischemic syndromes, Epidemiology and Data Science, APH - Personalized Medicine, APH - Methodology, APH - Health Behaviors & Chronic Diseases |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Male
medicine.medical_specialty Disc herniation SDG 16 - Peace absenteeism Disability Evaluation Interquartile range medicine Humans Workplace Forward selection low back pain prognostic research business.industry SDG 16 - Peace Justice and Strong Institutions Public Health Environmental and Occupational Health prediction models return to work Prognosis Explained variation Low back pain Justice and Strong Institutions Sick leave Physical therapy Absenteeism Female Sick Leave medicine.symptom business Forecasting Cohort study |
| Zdroj: | Journal of Occupational and Environmental Medicine, 61(12), 1065-1071. Lippincott Williams and Wilkins Bosman, L C, Twisk, J W R, Geraedts, A S & Heymans, M W 2019, ' Development of Prediction Model for the Prognosis of Sick Leave Due to Low Back Pain ', Journal of Occupational and Environmental Medicine, vol. 61, no. 12, pp. 1065-1071 . https://doi.org/10.1097/JOM.0000000000001749 Journal of occupational and environmental medicine / American College of Occupational and Environmental Medicine, 61(12), 1065-1071. Lippincott Williams and Wilkins |
| ISSN: | 1076-2752 |
| DOI: | 10.1097/JOM.0000000000001749 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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