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Validity of Health Administrative Database Definitions for Hypertension: A Systematic Review
Romina Pace1, Tricia Peters1, Elham Rahme2
1Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Background:
Health administrative data are frequently used for hypertension surveillance. The aim of this systematic review was to determine the sensitivity and specificity of the commonly used hypertension case definition of 2 physician outpatient claims within a 2-year period or 1 hospital discharge abstract record.
Methods:
Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched MEDLINE (from 1946) and EMBASE (from 1947) for relevant studies through September 2016 (keywords: "hypertension," "administrative databases," "validation studies"). Data with standardized forms and assessed quality using Quality Assessment of Diagnostic Accuracy Studies criteria were reviewed by 2 reviewers. Pooled sensitivity and specificity were estimated using a generalized linear-model approach to random-effects bivariate regression meta-analysis.
Results:
The search strategy identified 1732 abstracts, among which 3 articles were deemed relevant. One of the articles incorporated 2 studies with differing reference standards and study populations; thus, we considered each separately. The quality scores of the retained studies ranged from 10-12 of a maximum 14. The sensitivity of the definition investigated to identify hypertension using administrative health databases was 71.2% (95% confidence interval [CI], 68.3-73.7) and the specificity was 94.5% (95% CI, 93.2-95.6) when compared with surveys or medical records.
Conclusions:
The 2 physician outpatient claims within a 2-year period or 1 hospital discharge abstract record hypertension case definition accurately classifies individuals as hypertensive in approximately 70% of cases and correctly identifies persons as nonhypertensive in approximately 95% of cases. This is likely sufficiently sensitive and specific for most research and surveillance purposes.
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