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Impact of the recall period on measuring health utilities for acute events

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  • Nick Bansback
  • Huiying Sun
  • Daphne P. Guh
  • Xin Li
  • Bohdan Nosyk
  • Susan Griffin
  • Paul G. Barnett
  • Aslam H. Anis

Abstract

The impact of healthcare interventions on health utility values is most frequently measured using a preference‐based instrument. Each of the available instruments instructs the respondent to report their health status over different recall periods ranging from the current day to the past month. In an ongoing randomised controlled trial in patients with advanced HIV disease, the impact of using a preference‐based instrument with a 1‐week recall period vs a 1‐day recall period (e.g. today) for capturing recently resolved serious adverse events was measured. The results suggest that the instrument with a 1‐week recall period gave lower utility values for recently resolved events in comparison with the instrument with a 1‐day recall period. A plausible interpretation of these results is that the recall period was adhered to; for example, patients ignored the impact of recently resolved events in their response if the questionnaire asked them only about their health today. While there are limitations to our study, we believe further consideration should be given to the recall period used for preference‐based instruments, and future research should examine other patient groups using a single instrument with multiple recall periods. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Nick Bansback & Huiying Sun & Daphne P. Guh & Xin Li & Bohdan Nosyk & Susan Griffin & Paul G. Barnett & Aslam H. Anis, 2008. "Impact of the recall period on measuring health utilities for acute events," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1413-1419, December.
  • Handle: RePEc:wly:hlthec:v:17:y:2008:i:12:p:1413-1419
    DOI: 10.1002/hec.1351
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    References listed on IDEAS

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    1. Brooks, Richard AU -, 1996. "EuroQol: the current state of play," Health Policy, Elsevier, vol. 37(1), pages 53-72, July.
    2. George W. Torrance & Michael H. Boyle & Sargent P. Horwood, 1982. "Application of Multi-Attribute Utility Theory to Measure Social Preferences for Health States," Operations Research, INFORMS, vol. 30(6), pages 1043-1069, December.
    3. Schwartz, Carolyn E. & Sprangers, Mirjam A. G., 1999. "Methodological approaches for assessing response shift in longitudinal health-related quality-of-life research," Social Science & Medicine, Elsevier, vol. 48(11), pages 1531-1548, June.
    4. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    5. Paul Dolan & Claire Gudex & Paul Kind & Alan Williams, 1995. "A social tariff for EuroQol: results from a UK general population survey," Working Papers 138chedp, Centre for Health Economics, University of York.
    6. Marra, Carlo A. & Woolcott, John C. & Kopec, Jacek A. & Shojania, Kamran & Offer, Robert & Brazier, John E. & Esdaile, John M. & Anis, Aslam H., 2005. "A comparison of generic, indirect utility measures (the HUI2, HUI3, SF-6D, and the EQ-5D) and disease-specific instruments (the RAQoL and the HAQ) in rheumatoid arthritis," Social Science & Medicine, Elsevier, vol. 60(7), pages 1571-1582, April.
    7. Tsuchiya, Aki & Brazier, John & Roberts, Jennifer, 2006. "Comparison of valuation methods used to generate the EQ-5D and the SF-6D value sets," Journal of Health Economics, Elsevier, vol. 25(2), pages 334-346, March.
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    1. Shitong Xie & Jing Wu & Gang Chen, 2024. "Comparative performance and mapping algorithms between EQ-5D-5L and SF-6Dv2 among the Chinese general population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 7-19, February.
    2. Tessa Peasgood & Julia M. Caruana & Clara Mukuria, 2023. "Systematic Review of the Effect of a One-Day Versus Seven-Day Recall Duration on Patient Reported Outcome Measures (PROMs)," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 16(3), pages 201-221, May.

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