Multimorbidity and Health Care Service Utilization in the Australian Workforce: Findings From the National Health Survey

J Occup Environ Med. 2017 Aug;59(8):795-802. doi: 10.1097/JOM.0000000000001089.

Abstract

Objectives: The aim of this study was to understand the patterns of health care service utilization in employees with multimorbidity.

Methods: Data were obtained from the 2011 to 2012 cross-sectional Australian National Health Survey. Past-month health care service utilization was collected for each chronic condition from a pre-specified list. Descriptive, logistic, and Poisson regression analyses were used. The data were weighted to produce nationally representative estimates.

Results: Multimorbid employees with arthritis had higher adjusted arthritis-specific general practitioner (GP) visit rates [rate ratio (RR) = 1.7, 95% confidence interval (95% CI) = 1.1 to 2.2, P < 0.001] than employees with arthritis alone. Similarly, multimorbid employees with cardiovascular disease (CVD) had higher adjusted CVD-specific specialist visit rates (RR = 1.6, 95% CI = 1.1 to 2.5, P < 0.05) and 2.5 times (95% CI = 1.5 to 4.0, P < 0.001) more CVD-specific other health professional visits than employees with CVD alone.

Conclusions: Given the increasing number of employees managing work and chronic illnesses, these findings have implications for health services and employers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Arthritis / epidemiology*
  • Asthma / epidemiology
  • Australia / epidemiology
  • Cardiology / statistics & numerical data
  • Cardiovascular Diseases / epidemiology*
  • Chronic Disease
  • Comorbidity
  • Cross-Sectional Studies
  • Female
  • General Practice / statistics & numerical data
  • Health Services / statistics & numerical data*
  • Health Surveys
  • Humans
  • Kidney Diseases / epidemiology
  • Male
  • Mental Disorders / epidemiology
  • Middle Aged
  • Neoplasms / epidemiology*
  • Occupational Health / statistics & numerical data
  • Office Visits / statistics & numerical data*
  • Osteoporosis / epidemiology
  • Sex Factors
  • Young Adult