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Accounting for timing when assessing health-related policies

Author

Listed:
  • Claxton, Karl
  • Asaria, Miqdad
  • Chansa, Collins
  • Jamison, Julian
  • Lomas, James
  • Ochalek, Jessica
  • Paulden, Mike
Abstract
The primary focus of this paper is to offer guidance on the analysis of time streams of effects that a project may have so that they can be discounted appropriately. This requires a framework that identifies the common parameters that need to be assessed, whether conducting cost-effectiveness or benefit-cost analysis. The quantification and conversion of the time streams of different effects into their equivalent health, health care cost or consumption effects avoids embedding multiple arguments in discounting policies. This helps to identify where parameters are likely to differ in particular contexts, what type of evidence would be relevant, what is currently known and how this evidence might be strengthened. The current evidence available to support the assessment of the key parameters is discussed and possible estimates and default assumptions are suggested. Reporting the results in an extensive way is recommended. This makes the assessments required explicit so the impact of alternative assumptions can be explored and analysis updated as better estimates evolve. Some projects will have effects across different countries where some or all of these parameters will differ. Therefore, the net present value of a project will be the sum of the country specific net present values rather than the sum of effects across countries discounted at some common rate.

Suggested Citation

  • Claxton, Karl & Asaria, Miqdad & Chansa, Collins & Jamison, Julian & Lomas, James & Ochalek, Jessica & Paulden, Mike, 2019. "Accounting for timing when assessing health-related policies," LSE Research Online Documents on Economics 100408, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:100408
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    Cited by:

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    2. James Lomas & Jessica Ochalek & Rita Faria, 2022. "Avoiding Opportunity Cost Neglect in Cost-Effectiveness Analysis for Health Technology Assessment," Applied Health Economics and Health Policy, Springer, vol. 20(1), pages 13-18, January.
    3. Elahe Khorasani & Majid Davari & Abbas Kebriaeezadeh & Farshad Fatemi & Ali Akbari Sari & Vida Varahrami, 2022. "A comprehensive review of official discount rates in guidelines of health economic evaluations over time: the trends and roots," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(9), pages 1577-1590, December.
    4. Francesco Ramponi & Simon Walker & Susan Griffin & Steve Parrott & Colin Drummond & Paolo Deluca & Simon Coulton & Mona Kanaan & Gerry Richardson, 2021. "Cost‐effectiveness analysis of public health interventions with impacts on health and criminal justice: An applied cross‐sectoral analysis of an alcohol misuse intervention," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 972-988, May.
    5. Beth Woods & James Lomas & Mark Sculpher & Helen Weatherly & Karl Claxton, 2024. "Achieving dynamic efficiency in pharmaceutical innovation: Identifying the optimal share of value and payments required," Health Economics, John Wiley & Sons, Ltd., vol. 33(4), pages 804-819, April.

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    More about this item

    Keywords

    health;

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O20 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - General

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