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Updated: May 15, 2026
10:38
Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
Published on: January 16, 2019
Using existing data to address important clinical questions in critical care
Colin R Cooke1, Theodore J Iwashyna
1Department of Medicine, Division of Pulmonary & Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA. cookecr@umich.edu
Critical Care Medicine
|January 19, 2013
Summary
Choosing the right critical care database is crucial for health services and outcomes research. Consider data quality and variable capture for accurate clinical insights and improved patient care.
Area of Science:
- Critical care medicine
- Health services research
- Biostatistics
Background:
- Numerous databases capture data on critically ill patients.
- Limited resources describe database strengths and limitations for research.
- Technological advances increase data availability in healthcare.
Purpose of the Study:
- Review approaches for selecting databases for critical care research.
- Examine commonly used critical care databases.
- Describe strengths and limitations of selected databases.
Main Methods:
- Narrative review of the medical literature.
- Analysis of database characteristics for research suitability.
Main Results:
- Database selection requires assessing accessibility, data quality, and variable relevance.
- Descriptive research may use less detailed data (e.g., administrative claims).
- Causal research often needs detailed demographic, laboratory, and physiological data.
Conclusions:
- Secondary data analyses significantly impact critical care practice.
- Optimal database selection is necessary but not sufficient for unbiased studies.
- Robust study design and analysis are paramount for impactful critical care research.
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