Dataset Information

Rates and predictors of recurrent work disability due to common mental health disorders in the United States.

ABSTRACT:

Context

Despite the high prevalence of work disability due to common mental disorders (CMD), no information exists on the rates and predictors of recurrence in a United States population.

Objective

To estimate recurrent work disability statistics and evaluate factors associated with recurrence due to CMDs including adjustment, anxiety, bipolar, and depressive disorders.

Methods

Recurrent work disability statistics were calculated using a nationwide database of disability claims. For the CMDs, univariate and multiple variable analyses were used to examine demographic factors and comorbidities associated with the time to recurrence.

Results

Of the CMDs, cases with bipolar (n = 3,017) and depressive disorders (n = 20,058) had the highest recurrence densities, 98.7 and 70.9 per 1000 person-years, respectively. These rates were more than three times higher than recurrence rates for other chronic disorders (e.g., diabetes, asthma; n = 105,558) and non-chronic disorders (e.g., injury, acute illnesses; n = 153,786). Individuals with CMD were also more likely to have a subsequent disability distinct from their mental health condition. Risk factors for recurrent CMD disability included being younger, being an hourly employee, living in a geographic area with more college graduates, having more previous psychiatric visits, having a previous work leave, and the type of work industry.

Conclusions

Results indicate that CMD patients may benefit from additional care and disability management both during and after their work absence to help prevent subsequent CMD and non-CMD related leaves.

SUBMITTER: Gaspar FW

PROVIDER: S-EPMC6177162 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Rates and predictors of recurrent work disability due to common mental health disorders in the United States.

Gaspar Fraser W FW Zaidel Catherine S CS Dewa Carolyn S CS

PloS one 20181009 10

<h4>Context</h4>Despite the high prevalence of work disability due to common mental disorders (CMD), no information exists on the rates and predictors of recurrence in a United States population.<h4>Objective</h4>To estimate recurrent work disability statistics and evaluate factors associated with recurrence due to CMDs including adjustment, anxiety, bipolar, and depressive disorders.<h4>Methods</h4>Recurrent work disability statistics were calculated using a nationwide database of disability cl ...[more]

PMID: 30300392

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Project description:BackgroundLabour-market marginalisation (LMM) and common mental disorders (CMDs) are serious societal problems. The aims were to describe trajectories of LMM (both work disability and unemployment) among young adults with and without CMDs, and to elucidate the characteristics associated with these trajectories.MethodsThe study was based on Swedish registers and consisted of all individuals 19-30 years with an incident diagnosis of a CMD in year 2007 (n = 7245), and a matched comparison group of individuals without mental disorders during the years 2004-07 (n = 7245). Group-based trajectory models were used to describe patterns of LMM both before, and after the incident diagnosis of a CMD. Multinomial logistic regressions investigated the associations between sociodemographic and medical covariates and the identified trajectories.ResultsTwenty-six percent (n = 1859) of young adults with CMDs followed trajectories of increasing or constant high levels of work disability, and 32 % (n = 2302) followed trajectories of increasing or constant high unemployment. In the comparison group, just 9 % (n = 665) followed increasing or constant high levels of work disability and 21 % (n = 1528) followed trajectories of increasing or constant high levels of unemployment. A lower share of young adults with CMDs followed trajectories of constant low levels of work disability (n = 4546, 63%) or unemployment (n = 2745, 38%), compared to the level of constant low work disability (n = 6158, 85%) and unemployment (n = 3385, 50%) in the comparison group. Remaining trajectories were fluctuating or decreasing. Around 50% of young adults with CMDs had persistent levels of LMM at the end of follow-up. The multinomial logistic regression revealed that educational level and comorbid mental disorders discriminated trajectories of work disability, while educational level, living area and age determined differences in trajectories of unemployment (R2difference = 0.02-0.05, p < 0.001).ConclusionsA large share, nearly 50%, of young adults with CMDs, substantially higher than in the comparison group of individuals without mental disorders, display increasing or high persistent levels of either work disability or unemployment throughout the follow-up period. Low educational level, comorbidity with other mental disorders and living in rural areas were factors that increased the probability for LMM.

Project description:BackgroundEffects of return to work (RTW) interventions vary, and more knowledge is needed about the factors that contribute to RTW. This study investigated changes in work participation and mental health, and predictors of RTW among patients being treated for common mental disorders (CMDs).MethodsThe study was a prospective pre-post study of 164 patients treated at an RTW outpatient clinic for CMDs. Differences between before and after treatment were analysed using paired t tests for continuous variables and marginal homogeneity test for categorical variables. Univariable and multivariable logistic regression analyses were used to identify factors associated with RTW. Baseline data (patient characteristics, clinical status, generalized self-efficacy, expectations of future work ability) and treatment variables were used as independent variables in logistic regressions. Further analysis investigated whether improvements in symptoms, work ability, expectations of future work ability and generalized self-efficacy were associated with RTW.ResultsNumber of individuals with full work participation increased, and there were improvements in symptoms, work ability and generalized self-efficacy. In the final model for predicting RTW, baseline work ability and expectancy of future work ability, a history of psychiatric treatment and focus on RTW in the treatment predicted RTW. Improvement in expectations of future work ability at post-treatment did also predict RTW.ConclusionsAssessing work ability and expectations of RTW at the beginning of treatment is recommended to identify patients at risk of long-term sick leave. Individuals with a history of psychiatric treatment are also risking long-term work disability. It is essential that treatment focus not only on symptom-relief, but also on improving work ability and expectations of RTW. An RTW-focused approach in therapy is associated with RTW.Trail registrationClinicalTrails.gov ID NCT01181635 . Registered 08/12/2010.

Dataset Information

Rates and predictors of recurrent work disability due to common mental health disorders in the United States.

Context

Objective

Methods

Results

Conclusions

Publications

Rates and predictors of recurrent work disability due to common mental health disorders in the United States.

Similar Datasets

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