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Precision and accuracy in measuring absence from work as a basis for calculating productivity costs in The Netherlands

Author

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  • Severens, Johan L.
  • Mulder, Jan
  • Laheij, Robert J. F.
  • Verbeek, André L. M.

Abstract

The impact of disease on the ability of a person to perform work should be part of an economic evaluation when a societal viewpoint is used for the analysis. This impact is reflected by calculating productivity costs. Measurement of these costs is often performed retrospectively. The purpose of our study was to study precision and accuracy of a retrospective self-administered questionnaire on sick leave. Employees of a company were asked to indicate the number of days absent from work due to illness during the past 2 weeks, 4 weeks, 2 months, 6 months, and the past 12 months. The percentage of respondents with an absolute difference of a maximum of respectively 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9 or more days between reported, and company-registered absence due to illness was determined. Besides this, the proportional difference was calculated. A systematic difference was tested with a signed rank test. Of the reported data, 95% matched the registered data perfectly when the recall period was limited to 2 and 4 weeks. This percentage decreased to 87%, 57%, and 51% for 2 months, 6 months, and 12 months. The weighted mean proportional differences for the recall periods were respectively 32.9, 35.2, 45.3, 34.9, and 113.6%. No systematic positive or negative difference was found between registered and reported sick leave. The results suggest that the recall period for retrospective measurement of sick leave is limited according to the precision level, which seems to be appropriate for the subject and the purpose of the study. We recommend using a recall period of no more than 2 months.

Suggested Citation

  • Severens, Johan L. & Mulder, Jan & Laheij, Robert J. F. & Verbeek, André L. M., 2000. "Precision and accuracy in measuring absence from work as a basis for calculating productivity costs in The Netherlands," Social Science & Medicine, Elsevier, vol. 51(2), pages 243-249, July.
  • Handle: RePEc:eee:socmed:v:51:y:2000:i:2:p:243-249
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    Citations

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    Cited by:

    1. Irina Pokhilenko & Luca M. M. Janssen & Aggie T. G. Paulus & Ruben M. W. A. Drost & William Hollingworth & Joanna C. Thorn & Sian Noble & Judit Simon & Claudia Fischer & Susanne Mayer & Luis Salvador-, 2023. "Development of an Instrument for the Assessment of Health-Related Multi-sectoral Resource Use in Europe: The PECUNIA RUM," Applied Health Economics and Health Policy, Springer, vol. 21(2), pages 155-166, March.
    2. Zhang, Wei & Bansback, Nick & Anis, Aslam H., 2011. "Measuring and valuing productivity loss due to poor health: A critical review," Social Science & Medicine, Elsevier, vol. 72(2), pages 185-192, January.
    3. Simon Wieser & Bruno Horisberger & Sara Schmidhauser & Claudia Eisenring & Urs Brügger & Andreas Ruckstuhl & Jürg Dietrich & Anne Mannion & Achim Elfering & Özgür Tamcan & Urs Müller, 2011. "Cost of low back pain in Switzerland in 2005," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(5), pages 455-467, October.
    4. Clive Pritchard;Martin Sculpher, 2000. "Productivity Costs: Principles and Practice in Economic Evaluation," Monograph 000464, Office of Health Economics.
    5. Dumont, Serge & Jacobs, Philip & Turcotte, Véronique & Anderson, Donna & Harel, François, 2010. "Measurement challenges of informal caregiving: A novel measurement method applied to a cohort of palliative care patients," Social Science & Medicine, Elsevier, vol. 71(10), pages 1890-1895, November.
    6. Skagen, Kristian & Collins, Alison M., 2016. "The consequences of sickness presenteeism on health and wellbeing over time: A systematic review," Social Science & Medicine, Elsevier, vol. 161(C), pages 169-177.

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