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Related Experiment Videos

Priority setting for new technologies in medicine: qualitative case study.

P A Singer1, D K Martin, M Giacomini

  • 1University of Toronto Joint Centre for Bioethics, Toronto, ON, Canada M5G 1L4. peter.singer@utoronto.ca

BMJ (Clinical Research Ed.)
|November 25, 2000
PubMed
Summary
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This study outlines a six-domain model for priority setting for new medical technologies. It details the institutions, people, factors, reasons, processes, and appeals involved in these crucial healthcare decisions.

Area of Science:

  • Health Services Research
  • Medical Technology Assessment
  • Health Policy and Management

Background:

  • Effective priority setting is crucial for allocating resources to new medical technologies.
  • Understanding the decision-making process for new technologies is essential for equitable healthcare.
  • Ontario, Canada, established committees to guide technology adoption in cancer and cardiac care.

Purpose of the Study:

  • To describe the domains involved in priority setting for new medical technologies.
  • To develop a model for understanding how these decisions are made.
  • To provide a foundation for aligning descriptive and normative accounts of priority setting.

Main Methods:

  • Qualitative study employing case studies and grounded theory.
Keywords:
Empirical ApproachHealth Care and Public Health

Related Experiment Videos

  • Analysis of documents, interviews with committee members, and meeting observations.
  • Focus on two Ontario committees advising on new technologies in cancer and cardiac care.

    • Main Results:

    • Identification of six interrelated domains in priority setting for new medical technologies.
    • Domains include: institutions, decision-makers, factors considered, reasons for decisions, decision-making process, and appeals mechanisms.
    • These domains form a comprehensive model of the current priority-setting landscape.

    Conclusions:

    • The identified domains provide a descriptive model for priority setting of new medical technologies.
    • Future work should integrate this descriptive model with ethical considerations for how decisions *should* be made.
    • This research offers a framework for improving the transparency and consistency of technology adoption decisions.