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Related Experiment Videos

Importance of databases for technology assessment.

H Hansluwka, R S Chrzanowski, F Gutzwiller

    Health Policy (Amsterdam, Netherlands)
    |December 11, 1987
    PubMed
    Summary
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    Collecting diverse data is crucial for medical technology assessment (MTA). This includes general data (Type A) and specific data (Type B) from sources like registries and clinical databases for informed health policy.

    Area of Science:

    • Health Services Research
    • Medical Informatics
    • Health Policy Analysis

    Background:

    • Comprehensive medical technology assessment (MTA) requires diverse data sources.
    • Existing data collection methods may not fully support MTA needs.
    • Understanding data types is essential for effective technology evaluation.

    Purpose of the Study:

    • To outline the types of data essential for medical technology assessment (MTA).
    • To differentiate between general (Type A) and specific (Type B) data for MTA.
    • To discuss the significance of various data sources for health policy.

    Main Methods:

    • Literature review and conceptual framework development.
    • Categorization of data into Type A (general) and Type B (specific to MTA).

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  • Examples of data sources provided for each type.

    • Main Results:

    • Type A data: General information useful for assessment, collected without specific MTA aim (e.g., demographic data).
    • Type B data: Specifically collected for MTA (e.g., healthcare procedure registries, disease registries, clinical databases).
    • Demographic data highlighted for evaluating long-term effects of medical technologies.

    Conclusions:

    • A multi-source data collection strategy is indispensable for robust MTA.
    • Type A and Type B data play complementary roles in technology evaluation.
    • Effective utilization of diverse data sources can significantly inform health policy making.