A screening tool for the risk of disability retirement due to musculoskeletal disorders
| Autor: | Rahman Shiri, Markku Heliövaara, Kirsi Ahola, Leena Kaila-Kangas, Eija Haukka, Johanna Kausto, Peppiina Saastamoinen, Päivi Leino-Arjas, Tea Lallukka |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Scandinavian Journal of Work, Environment & Health, Vol 44, Iss 1, Pp 37-46 (2018) |
| Druh dokumentu: | article |
| ISSN: | 0355-3140 1795-990X |
| DOI: | 10.5271/sjweh.3684 |
| Popis: | OBJECTIVE: This study aimed to develop and validate a risk screening tool using a points system to assess the risk of future disability retirement due to musculoskeletal disorders (MSD). METHODS: The development population, the Health 2000 Survey, consisted of a nationally representative sample of Finnish employees aged 30–60 years (N=3676) and the validation population, the Helsinki Health Study, consisted of employees of the City of Helsinki aged 40–60 years (N=6391). Both surveys were linked to data on disability retirement awards due to MSD from national register for an 11-year follow-up. RESULTS: The discriminative ability of the model with seven predictors was good (Gönen and Heller’s K concordance statistic=0.821). We gave points to seven predictors: sex-dependent age, level of education, pain limiting daily activities, multisite musculoskeletal pain, history of arthritis, and surgery for a spinal disorder or carpal tunnel syndrome. A score of 3 or higher out of 7 (top 30% of the index) had good sensitivity (83%) and specificity (70%). Individuals at the top 30% of the risk index were at 29 [95% confidence interval (CI) 15–55) times higher risk of disability retirement due to MSD than those at the bottom 40%. CONCLUSION: This easy-to-use screening tool based on self-reported risk factor profiles can help identify individuals at high risk for disability retirement due to MSD. |
| Databáze: | Directory of Open Access Journals |
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