Implemented disability-related policies and practices and sustained employment of partially disabled employees: evidence from linked survey and register data.

OBJECTIVES: This study examined the associations between implemented disability-related policies and practices (DPP) and sustained employment among partially disabled employees in The Netherlands. METHODS: Employer survey data on implemented DPP were linked to register data on employment outcomes of partially disabled employees (N=6103 employees from N=366 employers). DPP included six domains based on 48 elements: sick leave policy, occupational health and safety services (OHS), prevention policy, reintegration policy, reintegration practices within the current employer and reintegration practices towards another employer. DPP domains were standardized on a 0-1 scale. Separate logistic regression models were estimated for DDP domains on one-year sustained employment adjusted for employee characteristics, firm size, and sector. RESULTS: Almost all organizations implemented at least one element of DPP on prevention policy, OHS, sick leave policy, and reintegration practices within the current employer, and two-thirds on reintegration policy and reintegration practices towards another employer. Implemented DPP on prevention policy [odds ratio (OR) 2.3, 95% confidence interval (CI) 1.3-4.0], OHS (OR 1.9, 95% CI 1.1-3.2), and sick leave policy (OR 1.8, 95% CI 1.0-3.3) were positively associated with sustained employment. No significant results were found for reintegration policy and both reintegration practices domains. Stratified analysis showed that DDP domains were particularly associated with sustained employment in larger organizations and in the private sector. CONCLUSIONS: Implemented DPP related to sick leave policy, OHS and prevention policy are associated with sustained employment among partially disabled employees, in particular in larger organizations and in the private sector.

Inability to Work Fulltime and the Association with Paid Employment One Year After the Work Disability Assessment: A Longitudinal Register-Based Cohort Study.

OBJECTIVES: Disability benefit applicants with residual work capacity are often not able to work fulltime. In Dutch work disability benefit assessments, the inability to work fulltime is an important outcome, indicating the number of hours the applicant can sustain working activities per day. This study aims to gain insight into the association between inability to work fulltime and having paid employment 1 year after the assessment. METHODS: The study is a longitudinal register-based cohort study of work disability applicants who were granted a partial disability benefit (n = 8300). Multivariable logistic regression analyses were conducted to study the association between inability to work fulltime and having paid employment 1 year after the assessment, separately for working and non-working applicants. RESULTS: For disability benefit applicants, whether working (31.9%) or not working (68.1%) at the time of the disability assessment, there was generally no association between inability to work fulltime and having paid employment 1 year later. However, for working applicants diagnosed with a musculoskeletal disease or cancer, inability to work fulltime was positively and negatively associated with having paid employment, respectively. For non-working applicants with a respiratory disease or with multimorbidity, inability to work fulltime was negatively associated with paid employment. CONCLUSIONS: Inability to work fulltime has limited association with paid employment 1 year after the disability benefit assessment, regardless of the working status at the time of assessment. However, within certain disease groups, inability to work fulltime can either increase or decrease the odds of having paid employment after the assessment.

Discrepancies between workers with disabilities and their supervisors in reported work accommodations and associations with return to work.

BACKGROUND: The aims of this study were: (1) to explore the frequency of discrepancies in work accommodations reported by workers and their supervisors, and (2) to investigate whether these discrepancies are associated with full return to work (RTW). METHODS: We used data from a longitudinal survey study of long-term sick-listed workers and their supervisors (n = 406). Discrepancies in reports on implementing eight types of work accommodations were explored. Logistic regression analyses were conducted to test associations between discrepancies in reported work accommodations and odds of full RTW 27 months after the sick-leave onset. RESULTS: Discrepancies were the lowest for the work accommodation therapeutic RTW (53%) and the highest (85%) for job training or education and reimbursement of therapy or treatment. Four out of eight types of work accommodations were more often reported by workers than by their supervisors. Only a discrepancy on a job reassignment within the organization was associated with lower odds of full RTW (OR 0.56, 95%-CI 0.36-0.88). CONCLUSION: We found substantial discrepancies in the reported implementation of work accommodations between workers and their supervisors. Future research should focus on disentangling mechanisms that lead to discrepancies to avoid inefficiencies in the RTW process.

Preferences for in-kind and in-cash home care insurance.

We study preferences for different types of home care insurance using a discrete choice experiment. We consider domestic, personal, and social care, a home care annuity, and a lump-sum for home adaptations. To understand variation in preferences, we relate willingness to pay to personal circumstances, preferences, and expectations. We find that the majority value in-kind and in-cash insurance above the actuarial premium. While most respondents value coverage for basic levels of support, we find diminishing marginal utility for higher levels of support. For in-kind care, willingness to pay is positively associated with respondent characteristics: being single, household income, home ownership, risk aversion, low bequest motives, expected length of home care use, expected expenditures when in need of care, and low expected availability of informal care. In contrast, in-cash support is valued regardless of respondent characteristics, possibly because its inherent flexibility. These results contribute to the design of insurance schemes for home care.

The contribution of employer characteristics to continued employment of employees with residual work capacity: evidence from register data in The Netherlands.

OBJECTIVES: This study aimed to examine the contribution of employer characteristics to continued employment of employees with residual work capacity. Moreover, we examined whether the contribution of employer characteristics differs across types of employers and employees' types of diseases. METHODS: Register data on disability assessments and employment status of N=84 394 long-term sick-listed employees with residual work capacity were obtained from the Dutch Employee Insurance Agency between 2010 and 2017. The dependent variable was continued employment four months after the assessment. We linked employees to their (former) employer to measure sector, firm size, and workforce composition. The average employment outcome of all employees assessed in the same firm and year served as a proxy measure for the extent of implemented disability-related policies and practices. Using multilevel multiple regression analysis, we compared the relative contribution of employer characteristics with employees' characteristics. RESULTS: Employer characteristics accounted for 10% of the variability in employment outcomes. In comparison, employees' socio-demographic and disease characteristics accounted for 13% of the variability. The prevalence of continued employment was lowest in smaller firms and construction and low-wage service-orientated sectors. Furthermore, there were sizeable differences in employment outcomes between similar employers in terms of size, sector and workforce-composition, particularly between larger firms and among employees with mental or musculoskeletal disorders compared to other diseases. CONCLUSIONS: This study shows substantial differences between employers in facilitating continued employment of employees with residual work capacity. Encouraging firms to invest more in disability-related policies and practices may result in better employment opportunities for these employees.

Lifelines COVID-19 cohort: investigating COVID-19 infection and its health and societal impacts in a Dutch population-based cohort.

PURPOSE: The Lifelines COVID-19 cohort was set up to assess the psychological and societal impacts of the COVID-19 pandemic and investigate potential risk factors for COVID-19 within the Lifelines prospective population cohort. PARTICIPANTS: Participants were recruited from the 140 000 eligible participants of Lifelines and the Lifelines NEXT birth cohort, who are all residents of the three northern provinces of the Netherlands. Participants filled out detailed questionnaires about their physical and mental health and experiences on a weekly basis starting in late March 2020, and the cohort consists of everyone who filled in at least one questionnaire in the first 8 weeks of the project. FINDINGS TO DATE: >71 000 unique participants responded to the questionnaires at least once during the first 8 weeks, with >22 000 participants responding to seven questionnaires. Compiled questionnaire results are continuously updated and shared with the public through the Corona Barometer website. Early results included a clear signal that younger people living alone were experiencing greater levels of loneliness due to lockdown, and subsequent results showed the easing of anxiety as lockdown was eased in June 2020. FUTURE PLANS: Questionnaires were sent on a (bi)weekly basis starting in March 2020 and on a monthly basis starting July 2020, with plans for new questionnaire rounds to continue through 2020 and early 2021. Questionnaire frequency can be increased again for subsequent waves of infections. Cohort data will be used to address how the COVID-19 pandemic developed in the northern provinces of the Netherlands, which environmental and genetic risk factors predict disease susceptibility and severity and the psychological and societal impacts of the crisis. Cohort data are linked to the extensive health, lifestyle and sociodemographic data held for these participants by Lifelines, a 30-year project that started in 2006, and to data about participants held in national databases.