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Measuring productivity loss days in asthma patients

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  • Wendy J. Ungar
  • Peter C. Coyte
  • The Pharmacy Medication Monitoring Program Advisory Board

Abstract

In assessments of the cost of illness, productivity losses potentially constitute a large proportion. The present study objective was to develop a method to measure restricted days and to quantify total productivity loss days (PLDs) in adult asthma patients. Patient and disease characteristics, occupation, annual wage, work absences, restricted days, level of functioning on restricted days, and travel and waiting time were collected over 6 months in 892 adult asthma outpatients residing in southern Ontario. Annual PLDs varied from 12 in employed persons to 49 in disability pensioners. Homemakers reported 22 PLDs per year. Restricted days accounted for most PLDs and functional level during restricted days varied from 55% to 81%. Annual PLDs increased with increasing disease severity. Employed persons experienced the fewest PLDs and functioned at the highest level during restricted days, but also demonstrated a milder disease compared with other groups. Most productivity loss in asthma patients resulted from numerous restricted days, a category of PLD that is often ignored in economic assessments. The presentation of PLD results disaggregated by category of time loss and wage rate may provide valuable information to employers and health policy makers and may facilitate the application of multiple approaches to the calculation of indirect costs. Copyright © 2000 John Wiley & Sons, Ltd.

Suggested Citation

  • Wendy J. Ungar & Peter C. Coyte & The Pharmacy Medication Monitoring Program Advisory Board, 2000. "Measuring productivity loss days in asthma patients," Health Economics, John Wiley & Sons, Ltd., vol. 9(1), pages 37-46, January.
    • Handle: RePEc:wly:hlthec:v:9:y:2000:i:1:p:37-46
    DOI: 10.1002/(SICI)1099-1050(200001)9:1<37::AID-HEC483>3.0.CO;2-S
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    Cited by:

    1. Janet Currie & Mark Stabile, 2003. "Socioeconomic Status and Child Health: Why Is the Relationship Stronger for Older Children?," American Economic Review, American Economic Association, vol. 93(5), pages 1813-1823, December.
    2. Stéphanie Boulenger & François Vaillancourt, 2013. "Temps d'attente dans le secteur public de la santé au Québec : mesure, conséquences et moyens pour les réduire," CIRANO Project Reports 2013rp-17, CIRANO.
    3. Charles Link & Simon Condliffe, 2005. "Why Does the Relationship between Economic Status and Child Health Strengthen for Older Children in the U.S.? Evidence from the Medical Expenditures Panel Survey and the Panel Study of Income Dynamics," Working Papers 05-18, University of Delaware, Department of Economics.
    4. Mark V. Pauly & Sean Nicholson & Judy Xu & Dan Polsky & Patricia M. Danzon & James F. Murray & Marc L. Berger, 2002. "A general model of the impact of absenteeism on employers and employees," Health Economics, John Wiley & Sons, Ltd., vol. 11(3), pages 221-231, April.
    5. Tin Su & Steffen Flessa, 2013. "Determinants of household direct and indirect costs: an insight for health-seeking behaviour in Burkina Faso," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 75-84, February.
    6. Chisanga, Brian & Bulte, Erwin & Kassie, Menale & Mutero, Clifford & Masaninga, Freddie & Sangoro, Onyango Peter, 2023. "The economic impacts of house screening against malaria transmission: Experimental evidence from eastern Zambia," Social Science & Medicine, Elsevier, vol. 321(C).
    7. Mario Cesare Nurchis & Domenico Pascucci & Martina Sapienza & Leonardo Villani & Floriana D’Ambrosio & Francesco Castrini & Maria Lucia Specchia & Patrizia Laurenti & Gianfranco Damiani, 2020. "Impact of the Burden of COVID-19 in Italy: Results of Disability-Adjusted Life Years (DALYs) and Productivity Loss," IJERPH, MDPI, vol. 17(12), pages 1-12, June.
    8. Su, Tin Tin & Sanon, Mamadou & Flessa, Steffen, 2007. "Assessment of indirect cost-of-illness in a subsistence farming society by using different valuation methods," Health Policy, Elsevier, vol. 83(2-3), pages 353-362, October.

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