Employment predictors of exit from work among workers with disabilities: A survival analysis from the household income labour dynamics in Australia survey

PLoS One. 2018 Dec 7;13(12):e0208334. doi: 10.1371/journal.pone.0208334. eCollection 2018.

Abstract

Objectives: Across high-income countries, unemployment rates among workers with disabilities are disproportionately high. The aim of this study was to identify characteristics of employment associated with dropping out of work and assess whether these were different for workers with versus without disabilities.

Methods: Using a longitudinal panel study of working Australians (2001 to 2015), the current study estimated Kaplan-Meier curves and Cox proportional hazard regression models to identify predictors of leaving employment, including psychosocial job quality, employment arrangement, and occupational skill level. Effect modification by disability status of the relationship between employment-related factors and exit from the labour market were assessed by including interaction terms and assessing model fit with a likelihood ratio test. Models were adjusted for a range of socio-demographic and health related factors.

Results: Compared to those without disability, those with disability had a greater risk of leaving employment (HR 1.26, 95% CI 1.18 to 1.35, p<0.001). Other predictors of exit from work included low-skilled occupation (HR 1.18, 95% CI 1.07 to 1.29, p = 0.001), being in a job with low psychosocial job quality (HR 1.11, 95% CI 1.03 to 1.19, p = 0.007), and casual, labour hire or fixed-term contract employment (HR 1.58, 95% CI 1.48 to 1.69, p<0.001). There was no effect modification by disability status.

Conclusions: More research is needed to understand the experiences of workers with disabilities who stay in and leave employment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Australia
  • Disabled Persons / statistics & numerical data*
  • Employment / statistics & numerical data*
  • Female
  • Humans
  • Kaplan-Meier Estimate
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Proportional Hazards Models
  • Survival Analysis*
  • Young Adult

Grants and funding

AM received funding from the Victorian Health and Medical Research Fellowship, Department of Health, State Government of Victoria (AU); AK and AM received funding from the Australian Research Council Linkage Project (LP150100077); AM and AK received funding from the NHMRC Partnership Project (APP1151843). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript