Literature DB >> 31651601

Development of Prediction Model for the Prognosis of Sick Leave Due to Low Back Pain.

Lisa C Bosman1, Jos W R Twisk, Anna S Geraedts, Martijn W Heymans.   

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.

Entities:  

Year:  2019        PMID: 31651601     DOI: 10.1097/JOM.0000000000001749

Source DB:  PubMed          Journal:  J Occup Environ Med        ISSN: 1076-2752            Impact factor:   2.162


  2 in total

1.  Recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes.

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

2.  Police Encounters, Agitation, Diagnosis, and Employment Predict Psychiatric Hospitalisation of Intensive Home Treatment Patients During a Psychiatric Crisis.

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

  2 in total

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