Purpose Updating the Wallis Occupational Rehabilitation Risk (WORRK) model formula, predicting non-return to work (nRTW) at different time points (3 and 12 months) than in the validation study (2 years). Methods Secondary analysis of two samples was carried out (following orthopaedic trauma), including work status, the first at 3 months (428 patients) and the second at 12 months (431 patients) after discharge from rehabilitation. We used calibration (agreement between predicted probabilities and observed frequencies) and discrimination (area under the receiver operating characteristics curve) to assess performance of the model after fitting it in the new sample, then calculated the probabilities of nRTW based on the coefficients from the 2-year prediction. Finally, the intercepts were updated for both 3- and 12-month prediction models (re-calibration was necessary for the adjustment of these probabilities) and performance re-evaluated. Results Patient characteristics were similar in all samples (mean age 43 in both groups; 86% male at 3 months, 84% male at 12 months). The proportion of nRTW at 3 months was 63.8% and 53.4% at 12 months (50.36% at 2 years). Performance of the original WORRK for both 3- and 12-month prediction showed an AUC of 0.73, while statistically significant miscalibration was found for both time points (p < 0.001). After the updating of the intercept, calibration was improved and did not show significant miscalibration (p = 0.458 and 0.341). The AUC stayed at 0.73. Conclusion The WORRK model was successfully adapted by changing the intercept for 3- and 12-month prediction of nRTW, now available for use in clinical practice.
Luthi F, Deriaz O, Vuistiner P, Burrus C, Hilfiker R. Predicting non return to work after orthopaedic trauma: the Wallis Occupational Rehabilitation RisK (WORRK) model. PloS one. 2014;9(4):e94268. doi: 10.1371/journal.pone.0094268. https://widgets.figshare.com/articles/993185/embed?show_title=1. CrossRefPubMedPubMedCentral
Unfallstatistik. Annexe 1: Données de l’exploitation de l’assurance. 2013. https://www.unfallstatistik.ch/f/neuza/F2008_2012_tab.pdf#page=8. Accessed 11 Nov 2015.
Chan WY, Chew NJ, Nasron LI, Fook-Chong SM, Ng YS. A cross-sectional study of the demographic, cultural, clinical and rehabilitation associated variables predicting return to employment after disability onset in an Asian society. Work (Reading, Mass). 2012;43(4):461–8. doi: 10.3233/wor-2012-1374.
Committee on Injury Scale. The Abbreviated Injury Scale (AIS-98). Des Plaines: Association for the Advancement of Automotive Medicine; 1998.
Traeger AC, Henschke N, Hubscher M, Williams CM, Kamper SJ, Maher CG, et al. Estimating the risk of chronic pain: Development and Validation of a Prognostic Model (PICKUP) for patients with acute low back pain. PLoS Med. 2016;13(5):e1002019. doi: 10.1371/journal.pmed.1002019. CrossRefPubMedPubMedCentral
Fournier-Buchs M-F, Gobelet C. Vocational rehabilitation: the Swiss model. Vocational Rehabilitation. Berlin: Springer; 2006. p. 395–403. CrossRef
Morger W. The point of view of the insurance company. In: Gobelet C, Franchignoni F, editors. Vocational rehabilitation. Paris: Springer; 2006. pp. 17–30. CrossRef
Hosmer DW Jr, Lemeshow S, Sturdivant RX. Applied logistic regression. New Jersey: Wiley; 2013. CrossRef
Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, et al. Assessing the performance of prediction models: a framework for some traditional and novel measures. Epidemiology (Cambridge, Mass). 2010;21(1):p. 128. CrossRef
Schaafsma FG, Whelan K, van der Beek AJ, van der Es-Lambeek LC, Ojajärvi A, Verbeek JH. Physical conditioning as part of a return to work strategy to reduce sickness absence for workers with back pain. Cochrane Libr. 2013;(8):CD001822. doi: 10.1002/14651858.CD001822.pub3.
McCauley LA. Immigrant workers in the United States: recent trends, vulnerable populations, and challenges for occupational health. AAOHN J Off J Am Assoc Occup Health Nurses. 2005;53(7):313–9.
Sloots M, Dekker JH, Bartels EA, Geertzen JH, Dekker J. Reasons for drop-out in rehabilitation treatment of native patients and non-native patients with chronic low back pain in the Netherlands: a medical file study. Eur J Phys Rehabil Med. 2010;46(4):505–10. PubMed
Kuijer PP, Gouttebarge V, Wind H, van Duivenbooden C, Sluiter JK, Frings-Dresen MH. Prognostic value of self-reported work ability and performance-based lifting tests for sustainable return to work among construction workers. Scand J Work Environ Health. 2012;38(6):600–3. doi: 10.5271/sjweh.3302. CrossRefPubMed
Steyerberg EW. Clinical prediction models: a practical approach to development, validation, and updating. Berlin: Springer; 2008.
- A Return-to-Work Prognostic Model for Orthopaedic Trauma Patients (WORRK) Updated for Use at 3, 12 and 24 Months
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