A practical, global perspective on using administrative data to conduct intensive care unit research

Allan Garland, Hayley B. Gershengorn, Ruth Ann Marrie, Nadia Reider, M. Elizabeth Wilcox

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

Various data sources can be used to conduct research on critical illness and intensive care unit (ICU) use. Most published studies derive from randomized controlled trials, large-scale clinical databases, or retrospective chart reviews. However, few investigators have access to such data sources or possess the resources to create them. Hospital administrative data, also called health claims data, constitute an important alternative data source that can be used to address a broad range of research questions, including many that would be difficult to study in interventional studies. Such data often contain information that allows identification of ICU care, specific types of critical illness, and ICU-related procedures. The strengths of using administrative databases are that many are population-based, cover broad geographic regions, and are large enough to provide high statistical power and precise effect estimates. Linking hospital data to other databases regarding chronic care facilities, home care services, or rehabilitation services, for example, can expand the scope of research questions that can be answered. However, the limitations of administrative data must be recognized. They are not collected for research purposes; thus, data elements may vary in accuracy, and key clinical variables such as ICU-specific physiologic and laboratory data are usually lacking. Specific efforts should be made to validate the data elements used, as has been done in several world regions. As with any other research question, it is imperative that the analysis plan be carefully defined in advance and that appropriate attention be paid to potential sources of bias and confounding.

Original languageEnglish (US)
Pages (from-to)1373-1386
Number of pages14
JournalAnnals of the American Thoracic Society
Volume12
Issue number9
DOIs
StatePublished - Sep 1 2015

Keywords

  • Claims analysis
  • Database
  • Research methodology
  • Statistical data analysis

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

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