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Productivity costs before and after absence from work: as important as common?

W B F Brouwer1, N J A van Exel, M A Koopmanschap

  • 1Institute for Medical Technology Assessment, Erasmus University Rotterdam, PO Box 1738, 3000 DR Rotterdam, The Netherlands. brouwer@bmg.eur.nl

Health Policy (Amsterdam, Netherlands)
|June 29, 2002
PubMed
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Productivity cost estimates often ignore losses before and after employee absence. This study shows that including these periods increases total productivity cost estimations by 16%, highlighting a significant underestimation in current methods.

Area of Science:

  • Occupational Health
  • Health Economics
  • Workplace Productivity

Background:

  • Traditional methods for estimating productivity losses rely on absence data (human capital, friction cost).
  • Productivity losses without absence are recognized for some conditions (e.g., migraine) but often overlooked for diseases primarily causing absence.
  • Previous research suggests productivity losses without absence are significant even for common illnesses.

Purpose of the Study:

  • To quantify productivity losses occurring before and after employee absence due to illness.
  • To assess the impact of including pre- and post-absence productivity losses on overall productivity cost estimations.
  • To determine if current methods solely based on absence data underestimate the true economic burden of illness in the workplace.

Main Methods:

Related Experiment Videos

  • A study was conducted on employees of a Dutch trade firm (n=51) returning to work after illness-related absence.
  • Participants completed the 'Ill and Recovered' questionnaire to report productivity experienced before and after their absence.
  • Data on absence duration and reduced productivity were collected and analyzed.

Main Results:

  • Approximately 25% of employees reported productivity losses before their absence.
  • Around 20% of employees reported productivity losses after their absence.
  • Incorporating pre- and post-absence losses increased total estimated productivity costs by approximately 16% compared to absence-only data.

Conclusions:

  • Productivity costs estimates based solely on absence data likely underestimate the true economic impact of illness.
  • Pre- and post-absence productivity losses represent a substantial, often unaccounted for, component of total productivity costs.
  • Further research and revised methodologies are needed to accurately capture the full spectrum of productivity costs associated with illness in the workplace.