Impact of medication adherence on absenteeism and short-term disability for five chronic diseases

J Occup Environ Med. 2012 Jul;54(7):792-805. doi: 10.1097/JOM.0b013e31825463e9.

Abstract

Objective: To estimate the impact of medication adherence on absenteeism and short-term disability among employees with chronic disease.

Methods: Cross-sectional analysis of administrative health care claims, absenteeism, and short-term disability data using multivariate regression and instrumental variable models for five cohorts of employees: diabetes, hypertension, congestive heart failure, dyslipidemia, and asthma/chronic obstructive pulmonary disease. Adherence was defined as possessing medication on at least 80% of days during follow-up.

Results: Adherent employees with diabetes, hypertension, dyslipidemia, and asthma/chronic obstructive pulmonary disease realized between 1.7 and 7.1 fewer days absent from work and between 1.1 and 5.0 fewer days on short-term disability. Absenteeism and short-term disability days by adherent employees with congestive heart failure were not significantly different from nonadherent employees with the condition in most specifications.

Conclusions: Appropriate management of chronic conditions can help employers minimize losses due to missed work.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Absenteeism*
  • Asthma / drug therapy
  • Asthma / epidemiology
  • Chronic Disease / drug therapy*
  • Chronic Disease / epidemiology
  • Cross-Sectional Studies
  • Diabetes Mellitus, Type 2 / drug therapy
  • Diabetes Mellitus, Type 2 / epidemiology
  • Dyslipidemias / drug therapy
  • Dyslipidemias / epidemiology
  • Female
  • Heart Failure / drug therapy
  • Heart Failure / epidemiology
  • Humans
  • Hypertension / drug therapy
  • Hypertension / epidemiology
  • Male
  • Medication Adherence / statistics & numerical data*
  • Middle Aged
  • Multivariate Analysis
  • Pulmonary Disease, Chronic Obstructive / drug therapy
  • Pulmonary Disease, Chronic Obstructive / epidemiology
  • Sick Leave / statistics & numerical data*