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Stability of Time-tradeoff Utilities in Survivors of Myocardial Infarction

Author

Listed:
  • Joel Tsevat
  • Lee Goldman
  • Jane R. Soukup
  • Gervasio A. Lamas
  • Kathleen F. Connors
  • Carole C. Chapin
  • Thomas H. Lee

Abstract

To investigate whether time-tradeoff utilities of survivors of myocardial infarction change over time and whether changes in utilities correlate with changes in functional status, the authors conducted serial interviews using a time tradeoff and three measures of functional status in a cohort of 67 patients who had recently had myocardial infarction. The patients were also asked to rate their overall health on a rating scale and were asked about chest pain, exercise status, and employment status. Each patient was interviewed two to five times over one and a half years. The mean (95% Cl) time-tradeoff score for all patients was 0.88 (0.84, 0.93). Over a mean interval of 8.4 months, 28 (42%) patients changed Karnofsky scores, 28 (42%) changed Specific Activity Scale classes, and 11 (16%) changed New York Heart Association classes, with most changes representing improvements in functional status. Scores on the rating scale improved by a mean (95% Cl) of 0.06 [(0.03, 0.10); p

Suggested Citation

  • Joel Tsevat & Lee Goldman & Jane R. Soukup & Gervasio A. Lamas & Kathleen F. Connors & Carole C. Chapin & Thomas H. Lee, 1993. "Stability of Time-tradeoff Utilities in Survivors of Myocardial Infarction," Medical Decision Making, , vol. 13(2), pages 161-165, June.
    • Handle: RePEc:sae:medema:v:13:y:1993:i:2:p:161-165
    DOI: 10.1177/0272989X9301300210
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    1. Peter Lindgren & Thomas Kahan & Neil Poulter & Martin Buxton & Patrick Svarvar & Björn Dahlöf & Bengt Jönsson, 2007. "Utility loss and indirect costs following cardiovascular events in hypertensive patients: the ASCOT health economic substudy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 8(1), pages 25-30, March.
    2. Mason, J.E. & Denton, B.T. & Shah, N.D. & Smith, S.A., 2014. "Optimizing the simultaneous management of blood pressure and cholesterol for type 2 diabetes patients," European Journal of Operational Research, Elsevier, vol. 233(3), pages 727-738.
    3. Spencer, Anne & Rivero-Arias, Oliver & Wong, Ruth & Tsuchiya, Aki & Bleichrodt, Han & Edwards, Rhiannon Tudor & Norman, Richard & Lloyd, Andrew & Clarke, Philip, 2022. "The QALY at 50: One story many voices," Social Science & Medicine, Elsevier, vol. 296(C).
    4. Paul Heidenreich & Mark B. McClellan, 2001. "Trends in Heart Attack Treatment and Outcomes, 1975-1995 -- Literature Review and Synthesis," NBER Chapters, in: Medical Care Output and Productivity, pages 363-410, National Bureau of Economic Research, Inc.
    5. Zethraeus, Niklas & Borgström, Fredrik & Jönsson, Bengt & Kanis, John, 2004. "A reassessment of the cost-effectiveness of hormone replacement therapy in Sweden – results based on the Women’s Health Initiative randomised controlled trial," SSE/EFI Working Paper Series in Economics and Finance 571, Stockholm School of Economics.
    6. J. Logman & Bart Heeg & Johan Herlitz & Ben Hout, 2010. "Costs and consequences of clopidogrel versus aspirin for secondary prevention of ischaemic events in (high-risk) atherosclerotic patients in Sweden," Applied Health Economics and Health Policy, Springer, vol. 8(4), pages 251-265, July.
    7. Benjamin O Yarnoff & Thomas J Hoerger & Siobhan A Simpson & Meda E Pavkov & Nilka R Burrows & Sundar S Shrestha & Desmond E Williams & Xiaohui Zhuo, 2016. "The Cost-Effectiveness of Anemia Treatment for Persons with Chronic Kidney Disease," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-14, July.
    8. Bart Heeg & Ron Peters & Marc Botteman & Ben Hout, 2007. "Long-Term Clopidogrel Therapy in Patients Receiving Percutaneous Coronary Intervention," PharmacoEconomics, Springer, vol. 25(9), pages 769-782, September.
    9. Afschin Gandjour, 2010. "A model to predict the cost‐effectiveness of disease management programs," Health Economics, John Wiley & Sons, Ltd., vol. 19(6), pages 697-715, June.
    10. Björn Stollenwerk & Afschin Gandjour & Markus Lüngen & Uwe Siebert, 2013. "Accounting for increased non-target-disease-specific mortality in decision-analytic screening models for economic evaluation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(6), pages 1035-1048, December.
    11. Gandjour, Afschin & Stock, Stephanie, 2007. "A national hypertension treatment program in Germany and its estimated impact on costs, life expectancy, and cost-effectiveness," Health Policy, Elsevier, vol. 83(2-3), pages 257-267, October.
    12. William Hollingworth & Richard A. Deyo & Sean D. Sullivan & Scott S. Emerson & Darryl T. Gray & Jeffrey G. Jarvik, 2002. "The practicality and validity of directly elicited and SF‐36 derived health state preferences in patients with low back pain," Health Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 71-85, January.
    13. G. Ardine De Wit & Jan J.V. Busschbach & Frank Th. De Charro, 2000. "Sensitivity and perspective in the valuation of health status: whose values count?," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 109-126, March.

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