Dataset Information

Predicting work disability among people with chronic conditions: a prospective cohort study.

ABSTRACT: Few risk prediction scores are available to identify people at increased risk of work disability, particularly for those with an existing morbidity. We examined the predictive performance of disability risk scores for employees with chronic disease. We used prospective data from 88,521 employed participants (mean age 43.1) in the Finnish Public Sector Study including people with chronic disorders: musculoskeletal disorder, depression, migraine, respiratory disease, hypertension, cancer, coronary heart disease, diabetes, comorbid depression and cardiometabolic disease. A total of 105 predictors were assessed at baseline. During a mean follow-up of 8.6 years, 6836 (7.7%) participants were granted a disability pension. C-statistics for the 8-item Finnish Institute of Occupational Health (FIOH) risk score, comprising age, self-rated health, number of sickness absences, socioeconomic position, number of chronic illnesses, sleep problems, BMI, and smoking at baseline, exceeded 0.72 for all disease groups and was 0.80 (95% CI 0.80-0.81) for participants with musculoskeletal disorders, 0.83 (0.82-0.84) for those with migraine, and 0.82 (0.81-0.83) for individuals with respiratory disease. Predictive performance was not significantly improved in models with re-estimated coefficients or a new set of predictors. These findings suggest that the 8-item FIOH work disability risk score may serve as a scalable screening tool in identifying individuals with increased risk for work disability.

SUBMITTER: Nyberg ST

PROVIDER: S-EPMC10113323 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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Predicting work disability among people with chronic conditions: a prospective cohort study.

Nyberg Solja T ST Airaksinen Jaakko J Pentti Jaana J Ervasti Jenni J Jokela Markus M Vahtera Jussi J Virtanen Marianna M Elovainio Marko M Batty G David GD Kivimäki Mika M

Scientific reports 20230418 1

Few risk prediction scores are available to identify people at increased risk of work disability, particularly for those with an existing morbidity. We examined the predictive performance of disability risk scores for employees with chronic disease. We used prospective data from 88,521 employed participants (mean age 43.1) in the Finnish Public Sector Study including people with chronic disorders: musculoskeletal disorder, depression, migraine, respiratory disease, hypertension, cancer, coronary ...[more]

PMID: 37072462

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Project description:PurposeFunctional seizures (FS) cause significant long-term disability and clinicians offer differing views on proper work restrictions and qualifications for disability benefits in this population. We assess the views and perspectives of experienced disability and work limitations in people living with functional seizures.MethodsBetween (4/29/2020-1/13/2021) an open-access 21-item internet survey was conducted via FNDHope.org; allowing for people living with self-reported functional seizures to remark on topics of work difficulties, work restrictions, qualifications for disability benefits, and driving. Demographic information was collected, and univariate and multivariate logistic regressions were used to evaluate potential predictors of current employment status.ResultsOne hundred eighteen (118) responses were received, of which 92 (84.4%) completed > 50% of the survey; they were predominantly (92%) female. Most respondents (88%) reported some personal difficulty at work and nearly all (99%) believed that others with FS would experience difficulties in the workplace. A majority (71%) felt that work restrictions should apply to people living with active FS, at least in certain lines of work. Most (64%) felt people with FS should qualify for disability benefits; however, 35% stated work accommodations or a new job compatible with FS was more appropriate. Of those who felt people with FS should qualify for disability, 60% thought recipients should remain eligible for disability while symptomatic and 38% felt benefits should be lifelong. In univariate and multivariate logistic regressions, older age was predictive of unemployment (univariate OR 0.95 ± 0.02, 95% CI 0.92-0.98, p-value 0.002).ConclusionOur results suggest that work difficulties are common in people with FS, with older age being a predictor of unemployment. A majority of people with FS support work restrictions for those with their disorder, at least in some lines of work. In comparison to a prior study of clinicians, a higher percentage of people with FS supported work restrictions. These results may help facilitate productive discussions between people with FS, providers, and policymakers regarding appropriate work and disability limitations.

Project description:IntroductionThe association between chronic widespread pain (CWP) and disability is well established. Although research support large interindividual differences in functional outcomes, limited studies are available on the socio-economic consequences of offering stratified treatment based on prognostic factors. Identification of predictors of long-term functional outcomes such as work disability as a critical consequence, could assist early and targeted personalised interventions. The primary objective of this cohort study is to identify prognostic factors for the primary endpoint work status (employed and working vs not working) in patients with CWP assessed 3 years from baseline, that is, at referral for specialist care.Methods and analysesData are collected at the diagnostic unit at Department of Rheumatology, Frederiksberg Hospital. The first 1000 patients ≥18 years of age registered in a clinical research database (DANFIB registry) with CWP either 'employed and working' or 'not working' will be enrolled. Participants must meet the American College of Rheumatology 1990 definition of CWP, that is, pain in all four body quadrants and axially for more than 3 months and are additionally screened for fulfilment of criteria for fibromyalgia. Clinical data and patient-reported outcomes are collected at referral (baseline) through clinical assessment and electronic questionnaires. Data on the primary endpoint work status at baseline and 3 years from baseline will be extracted from the Integrated Labour Market Database, Statistics Denmark and the nationwide Danish DREAM database. Prognostic factor analysis will be based on multivariable logistic regression modelling with the dichotomous work status as dependent variable.Ethics and disseminationSensitive personal data will be anonymised according to regulations by the Danish Data Protection Agency, and informed consent are obtained from all participants. Understanding and improving the prognosis of a health condition like CWP should be a priority in clinical research and practice. Results will be published in international peer-reviewed journals.Trial registration numberNCT04862520.

Project description:BackgroundLong-term sickness absence results in increased risks of permanent disability and a compromised quality of life. Return to work is an important factor in reducing these risks. Little is known about return to work factors for long-term sick-listed workers with subjective health complaints. The aim of this study was to evaluate prognostic factors for partial or full return to a paid job for at least 28 days for long-term sick-listed workers with subjective health complaints, and to compare these factors with those of workers with other disorders.MethodsData from a prospective cohort study of 213 participants with subjective health complaints and 1.037 reference participants were used. The participants answered a questionnaire after 84 weeks of sickness absence. Return to work was measured after one and two years. Univariable logistic regression analyses were performed (P ≤ 0.157) for variables per domain with return to work (i.e. demographic, socio-economic and work-related, health-related, and self-perceived ability). Subsequently, multivariable logistic regression analyses with backward selection (P ≤ 0.157) were performed. Remaining factors were combined in a multivariable and final model (P ≤ 0.05).ResultsBoth for workers with subjective health complaints and for the reference group, non-health-related factors remained statistically significant in the final model. This included receiving a partial or complete work disability benefit (partial: OR 0.62, 95% CI 0.26-1.47 and OR 0.69, 95% CI 0.43-1.12; complete: OR 0.24, 95% CI 0.10-0.58 and OR 0.12, 95% CI 0.07-0.20) and having a positive self-perceived possibility for return to work (OR 1.06, 95% CI 1.01-1.11 and OR 1.08, 95% CI 1.05-1.11).ConclusionsNon-health-related factors seem to be more important than health-related factors in predicting return to work after long-term sickness absence. Receiving a work disability benefit and having negative expectations for return to work seem to complicate return to work most for workers with subjective health complaints. With respect to return to work predictors, workers with subjective health complaints do not differ from the reference group.

Dataset Information

Predicting work disability among people with chronic conditions: a prospective cohort study.

Publications

Predicting work disability among people with chronic conditions: a prospective cohort study.

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