Development of Prediction Model for the Prognosis of Sick Leave Due to Low Back Pain
Author:
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Public Health, Environmental and Occupational Health
Reference44 articles.
1. A systematic review of low back pain cost of illness studies in the United States and internationally;Dagenais;Spine J,2008
2. Absence from work and return to work in people with back pain: a systematic review and meta-analysis;Wynne-Jones;Occup Environ Med,2014
3. Prediction models to identify workers at risk of sick leave due to low back pain in Dutch construction industry;Bosman;Scand J Work Environ Health,2018
4. Predictors of sickness absence in patients with a new episode of low back pain in primary care;Melloh;Ind Health,2012
5. Resources for preventing sickness absence due to low back pain;Salathé;Occup Med (Lond,2012
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4. Return to work after sick leave due to musculoskeletal disorder or injury: a longitudinal study conducted in Brazil;BMC Public Health;2023-09-28
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