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Related Experiment Videos

Technology assessment in the Framingham Heart Study.

M S Roberts1, R B D'Agostino, M Dillon

  • 1New England Deaconess Hospital.

International Journal of Technology Assessment in Health Care
|January 1, 1991
PubMed
Summary

Large observational databases, like the Framingham Heart Study, can effectively assess new technologies and therapies. Long-term follow-up and stored data are crucial for evaluating both voluntary and external technologies.

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Area of Science:

  • Epidemiology
  • Health Technology Assessment
  • Biostatistics

Background:

  • Observational databases are valuable resources in medical research.
  • The Framingham Heart Study has a long history of collecting extensive health data.
  • The utility of such databases for technology assessment requires examination.

Purpose of the Study:

  • To evaluate the role of observational data in technology assessment.
  • To analyze how the Framingham Heart Study data has been used for evaluating technologies, therapies, and predictive instruments.

Main Methods:

  • Review of 26 articles utilizing Framingham Heart Study data.
  • Categorization of technology assessments into four types: voluntary use, external application, evaluation of unrelated assessments, and validation of predictive instruments.

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  • Identification of factors enabling technology assessment.

    • Main Results:

    • Framingham data supported assessments of voluntarily used and externally applied technologies.
    • Key contributing factors include long-term follow-up, a stable cohort, and storage of diverse data types (e.g., electrocardiograms, blood samples).
    • Framingham results have also informed outcome measures in subsequent studies and validated external predictive instruments.

    Conclusions:

    • Large-scale observational databases, even if not initially designed for it, can significantly contribute to health technology assessment.
    • The Framingham Heart Study exemplifies the successful application of observational data for evaluating medical technologies and therapies.
    • Longitudinal data collection and comprehensive data storage are vital for maximizing the utility of observational studies in technology assessment.