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Using large-scale databases to measure outcomes in critical care.

P Pronovost1, D C Angus

  • 1Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, USA.

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This article explains how to use large-scale databases for observational outcomes studies in critical care medicine. It covers study design principles and criteria for evaluating data sources.

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Area of Science:

  • Critical Care Medicine
  • Health Informatics
  • Biostatistics

Background:

  • Observational outcomes studies are crucial in critical care medicine.
  • Understanding basic principles is essential for accurate interpretation.
  • Large-scale databases offer significant potential for research.

Purpose of the Study:

  • To describe the availability and use of large-scale databases for critical care research.
  • To provide an overview of observational outcomes study designs.
  • To discuss criteria for evaluating data sources.

Main Methods:

  • Overview of observational study designs in critical care.
  • Discussion of criteria for data source evaluation.
  • Review of available data sources for observational studies.

Main Results:

  • Availability of large-scale databases for critical care research.
  • Principles for conducting and interpreting observational studies.
  • Criteria for selecting appropriate data sources.

Conclusions:

  • Large-scale databases are valuable resources for critical care research.
  • Proper understanding of study design and data evaluation is key.
  • Effective use of these databases can advance critical care medicine.