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Related Experiment Videos

Can health technologies be assessed using routine data?

Andrew J Stevens1, James Raftery, Paul Roderick

  • 1Department of Public Health and Epidemiology, University of Birmingham, UK. A.J.Sevens@bham.ac.uk

International Journal of Technology Assessment in Health Care
|March 2, 2005
PubMed
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Routine health data in the UK is abundant but has limited value for health technology assessment (HTA). Key data on treatment effects and patient outcomes are often missing, hindering its use.

Area of Science:

  • Health Services Research
  • Health Economics
  • Data Science

Background:

  • Routine health databases are a potential source of information for health technology assessment (HTA).
  • The United Kingdom has a large volume of health-related data collected routinely.
  • The utility of this data for HTA purposes requires thorough investigation.

Purpose of the Study:

  • To assess the potential of routine data for health technology assessment (HTA) in the United Kingdom.
  • To identify and classify existing routine health databases.
  • To evaluate the alignment of available data with priority areas for HTA.

Main Methods:

  • Compilation of a comprehensive list of routine healthcare databases in England.
  • Classification of databases based on data characteristics.

Related Experiment Videos

  • Literature review of current database usage in HTA.
  • Comparison of database content with prioritized HTA topics.

    • Main Results:

    • Identification of 270 health-related databases for England.
    • Only 24 databases contained information on both health technology and patient health status.
    • Published use in effectiveness evaluations was found for only 11 databases.
    • Just 22 out of 140 prioritized health technologies were identifiable in routine databases.

    Conclusions:

    • Despite the abundance of routine data, its current utility for HTA in the UK is limited.
    • Data sets frequently lack information on treatment effects.
    • Inadequate coding and confidentiality regulations pose significant challenges.
    • Urgent improvements in data quality, coding, and accessibility are necessary for effective HTA.