Prognostic Factors for Duration of Sickness Absence due to Musculoskeletal Disorders

Lötters, Freek; Burdorf, Alex

doi:10.1097/01.ajp.0000154047.30155.72

Cited by 169 publications

(144 citation statements)

References 42 publications

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“…It would also have been an unfavourable course of prolonged work absenteeism for patients with musculoskeletal pain and work-related injuries. [11][12][13] Our post-hoc analysis reconfirmed that it remained a significant prognostic indicator of vocational outcome even after years of disability. As work was such an important outcome for the patient and the society, it would be useful to examine if early intervention could generate better return-to-work outcomes.…”

Section: Discussionsupporting

confidence: 57%

Pain management programme for Chinese patients: a 10-year outcome review

Chu¹,

Law²,

Cheung³

et al. 2015

Hong Kong Med J

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Section: Discussionsupporting

confidence: 57%

Pain management programme for Chinese patients: a 10-year outcome review

Chu¹,

Law²,

Cheung³

et al. 2015

Hong Kong Med J

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“…However, the role of this factor on the prognosis of sick-leave in LBP patients is less obvious. Some prognostic studies did find an effect of high workload on longer sick-leave [37,38], but others did not [39,40]. We tested in the current study if the inclusion and exclusion of the variable stooping was responsible for a change in the estimates of the regression coefficients of other variables in the final model or if it caused a change in the model performance.…”

Section: Comparison With Findings In the Literaturementioning

confidence: 94%

Return to Work in a Cohort of Low Back Pain Patients: Development and Validation of a Clinical Prediction Rule

et al. 2009

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Background From the viewpoint of cost prevention, it is necessary to identify patients that are of high risk for long-term work disability, production loss and sickleave. Methods Secondary data analysis in a cohort of 628 workers on sick-leave between 3 and 6 weeks due to low back pain (LBP). The association of a broad set of demographic, work, LBP and psychosocial related factors on lasting return to work was studied using Cox regression analysis with backward selection. The most relevant factors were used to derive a clinical prediction rule to determine the risk of sick-leave of more than 6 months. Variable and model selection and clinical model performance were performed with bootstrapping techniques. Also the test characteristics of the clinical model were considered. Results Longer work absence is related to ''moderate'' to ''poor'' job satisfaction, a higher score of fear avoidance beliefs, higher pain intensity at baseline, a longer duration of complaints and being of female gender. Calibration and discrimination of the clinical prediction rule were 0.90 (slope) and 0.63 (c-index), respectively. The explained variance of 6% of the prediction rule was low and the clinical performance in terms of sensitivity, specificity, positive and negative predictive values at specific cut-off points was moderate. Conclusions Our study confirmed the importance of demographic, work, LBP and psychosocial related factors on the prediction of long-term sick-leave. When these factors were used to derive a clinical prediction rule the performance was moderate. As a consequence, prudence has to be taken when using the prediction rule in practice.

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“…Since the likelihood of returning to work decreases when the duration of sickness absence increases (20), we targeted the early stage of the disability, including only those who had not been off work ≥2 weeks during the preceding month and ≥30 days during the preceding 3 months. It is important to choose an active treatment modality -such as work participation -at an early stage to avoid iatrogenic prolongation of disability.…”

Section: Control Group Intervention Groupmentioning

confidence: 99%