Workplace productivity, employment issues, and resource utilization in patients with bipolar I disorder

J Med Econ. 2010 Mar;13(1):23-32. doi: 10.3111/13696990903475833.

Abstract

Objective: To collect workplace productivity and healthcare utilization data from subjects with bipolar I disorder and compare the results with those from normative subjects.

Methods: A cross sectional survey was administered to patients and recruiting physicians. Data collected included employment status, Endicott Workplace Productivity Scale (EWPS) results, healthcare resource utilization, and quality-of-life.

Results: In comparison with normative subjects, bipolar I subjects reported lower levels of work productivity (measured by the EWPS). Bipolar I subjects also reported more frequent outpatient visits and more prescribed pharmaceuticals. Bipolar I subjects were more likely to miss work, have worked reduced hours due to medical or mental health issues, receive disability payments, been involved in a crime, be uninsured or covered by Medicare, or have been fired or laid off. The study groups were age- and gender-matched to reduce the impact of selection bias associated with a non-randomized study design. Other potential limitations affecting the results of the study include recall bias and possibly an impact of different data collection methods (e.g. Internet versus telephone).

Conclusions: Bipolar I disorder is associated with a negative effect on work productivity and resource utilization and is an appropriate disease management target for employers and healthcare decision makers.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Bipolar Disorder / drug therapy
  • Bipolar Disorder / economics*
  • Cross-Sectional Studies
  • Disease Management
  • Efficiency*
  • Employment / psychology
  • Employment / statistics & numerical data*
  • Female
  • Health Resources / statistics & numerical data*
  • Health Services / statistics & numerical data
  • Health Surveys
  • Humans
  • Least-Squares Analysis
  • Male
  • Mental Health / statistics & numerical data*
  • Middle Aged
  • Multivariate Analysis
  • Occupational Health / statistics & numerical data*
  • Outpatients
  • Psychometrics
  • Quality of Life / psychology
  • Regression Analysis
  • Surveys and Questionnaires
  • United States
  • Workplace
  • Young Adult