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Ambulatory care databases for managed care organizations

E P Armstrong1, F Manuchehri

  • 1Department of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson 85721, USA.

American Journal of Health-System Pharmacy : AJHP : Official Journal of the American Society of Health-System Pharmacists
|September 18, 1997
PubMed
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Ambulatory care databases offer cost-effective, large-scale patient data analysis for healthcare systems. While valuable for assessing treatment effectiveness and cost implications, limitations include data gaps and potential coding errors.

Area of Science:

  • Health Informatics
  • Health Services Research
  • Database Management

Background:

  • Ambulatory care databases, particularly claims databases, are increasingly utilized by health systems and managed care organizations.
  • These databases provide a rich source of information for understanding patient populations, provider behaviors, and disease prevalence.

Purpose of the Study:

  • To discuss the uses, advantages, and limitations of ambulatory care databases.
  • To describe processes for data extraction and utilization.
  • To highlight the value of these databases in healthcare decision-making.

Main Methods:

  • The study discusses the application of claims databases for generating descriptive statistics.
  • It outlines methods for conducting cost and resource-use analyses.

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  • Processes for building economic models of diseases are also described.

    • Main Results:

    • Ambulatory care databases offer advantages over clinical trials, including lower costs, faster analysis, larger patient cohorts, and reduced patient/provider inconvenience.
    • These databases enable assessment of treatment effectiveness (real-world) rather than just efficacy (controlled settings).
    • They are useful for detecting drug-switching patterns, evaluating cost/outcome implications of formulary changes, and monitoring disease management programs.

    Conclusions:

    • Despite limitations such as omitted services, coding errors, and lack of disease severity indicators, ambulatory care databases are valuable tools.
    • They effectively describe patient, provider, and disease characteristics.
    • These databases aid in predicting formulary impacts, measuring treatment guideline effects, and monitoring disease management.