M. Nilsen Skinnes
OP0179-HPR CHANGES IN WORK ABILITY FOLLOWING REHABILITATION
Nilsen Skinnes, M.; Moe, R. H.; Johansen, T.; Bruun-Hanssen, H.; Dahl, K.; Eid, I.; Fagertun, T.; Habberstad, A.; Kjeken, I.; Rajalahti, T.; Linge, A. D.; Lyken, A. D.; Orpana, A.; Røset, L.; Wilkie, R.; Uhlig, T.
Authors
R. H. Moe
T. Johansen
H. Bruun-Hanssen
K. Dahl
I. Eid
T. Fagertun
A. Habberstad
I. Kjeken
T. Rajalahti
A. D. Linge
A. D. Lyken
A. Orpana
L. Røset
Ross Wilkie r.wilkie@keele.ac.uk
T. Uhlig
Abstract
Background Improved work participation is an important goal in rehabilitation, and has important socio-economic benefits. Despite this, there is limited knowledge about how rehabilitation impacts work ability across different diagnostic groups. Objectives To examine whether personal and disease-related factors predict changes in self-perceived work ability one year after rehabilitation. Methods In a longitudinal multicenter rehabilitation cohort (RehabNytte) 17 rehabilitation centers across Norway recruited more than 3700 patients with rheumatic and musculoskeletal diseases (RMD) as the largest diagnostic group [1]. Participants completed questionnaires at admission and discharge, and after 3, 6 and 12 months. Work ability was self-reported with a single item from the Work Ability Index (WAI) (2), referred to as the Work Ability Scale (WAS), where patients compared their current work ability to their lifetime best on a 0-10 scale (10= best work ability). For the logistic regression analysis WAS was categorized as either low/moderate (≤7) or good/excellent (≥8) [3]. Variables of interest were age, gender, diagnosis (cancer, rheumatic and musculoskeletal diseases, other), comorbidities, health region, education level (low, medium, high), body mass index (BMI), smoking, pain intensity (NRS-scale 0-10) and self-reported health (EuroQol VAS, scale 0-100). Retired patients were removed from analysis. A logistic regression model was fitted with variables individually predicting WAS at 12 months follow up, adjusted for sociodemographic and lifestyle variables and baseline WAS. Results Mean age at baseline was 53.3 (13.6) years. Seventy percent were female, 42 % had RMD, 24 % cancers and 33 % other diseases. Mean WAS at baseline (n= 3096) was 3.3 (SD 3.0), which significantly increased to 4.4 (3.2) at 12-months follow-up (n= 2397) (p<0.001, Figure 1). Good WAS-score ≥ 8 at 12 months (adjusted for baseline work ability score and BMI) was predicted by high education level, higher age and high self-reported health at baseline, whereas low WAS-score ≤7 was predicted by RMD or cancer diseases, number of comorbidities and higher pain intensity (Table 1, OR in bold indicates p<0.05). Conclusion In addition to disease- and demographic factors like high age, high education, comorbidities and presence of RMD, changes in work ability scores were related to pain and self-reported health, factors that are modifiable trough rehabilitation. References [1] Moe RH. RehabNytte - A Study of Rehabilitation Processes in Specialized Care in Norway [Available from: https://clinicaltrials.gov/ct2/show/NCT03764982. [2] Ahlstrom L, Grimby-Ekman A, Hagberg M, Dellve L. The work ability index and single-item question: associations with sick leave, symptoms, and health – a prospective study of women on long-term sick leave. Scandinavian Journal of Work, Environment & Health. 2010;36(5):404-12. [3] Oellingrath IM, De Bortoli MM, Svendsen MV, Fell AKM. Lifestyle and work ability in a general working population in Norway: a cross-sectional study. BMJ Open. 2019;9(4):e026215. Acknowledgements: NIL. Disclosure of Interests None Declared. Table 1 Logistic regression model of work ability 12 months after rehabilitation. Work ability Univariable Multivariable* Independent variable OR (95 % CI) OR (95 % CI) Age 1.0 (0.99, 1.00) 1.01 (1.00, 1.02) Education level 10 years or less 1 (Ref) 1 (Ref) High school 1.56 (1.08, 2.26) 1.25 (0.78, 2.01) University 1.96 (1.37, 2.80) 1.70 (1.07, 2.69) Diagnosis Other disease 1 (Ref) 1 (Ref) RMDs 0.80 (0.64, 0.99) 0.60 (1.11, 3.31) Cancer 0.64 (0.49, 0.83) 0.42 (0.26, 0.68) Comorbidities 0.84 (0.79, 0.90) 0.79 (0.71, 0.87) Pain intensity 0.86 (0.80, 0.92) 0.90 (0.83, 0.98) EuroQol VAS 1.04 (1.03, 1.04) 1.02 (1.02, 1.03) *Final model also adjusted for gender, BMI, health region, and work ability at baseline. Figure 1 Work ability score (WAS) at baseline n = 3096, and at 1-year follow up n= 2397.
Citation
Nilsen Skinnes, M., Moe, R. H., Johansen, T., Bruun-Hanssen, H., Dahl, K., Eid, I., Fagertun, T., Habberstad, A., Kjeken, I., Rajalahti, T., Linge, A. D., Lyken, A. D., Orpana, A., Røset, L., Wilkie, R., & Uhlig, T. (2023, May). OP0179-HPR CHANGES IN WORK ABILITY FOLLOWING REHABILITATION. Presented at EULAR 2023 European Congress of Rheumatology, Milan, Italy
Presentation Conference Type | Conference Abstract |
---|---|
Conference Name | EULAR 2023 European Congress of Rheumatology |
Start Date | May 31, 2023 |
End Date | Jun 3, 2023 |
Acceptance Date | May 30, 2023 |
Online Publication Date | May 30, 2023 |
Publication Date | May 30, 2023 |
Deposit Date | Apr 26, 2024 |
Journal | Annals of the Rheumatic Diseases |
Print ISSN | 0003-4967 |
Electronic ISSN | 1468-2060 |
Publisher | BMJ Publishing Group |
Peer Reviewed | Peer Reviewed |
Volume | 82 |
Issue | S1 - June 2023 |
Pages | 118-119 |
DOI | https://doi.org/10.1136/annrheumdis-2023-eular.2976 |
Public URL | https://keele-repository.worktribe.com/output/798878 |
Publisher URL | https://www.sciencedirect.com/science/article/abs/pii/S0003496724636253?via%3Dihub |
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