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January 1, 2012Pharmacoepidemiology and Drug Safety342 citationsOpen Access

A systematic review of validated methods for identifying atrial fibrillation using administrative data

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PJPaul N. JensenKJKarin JohnsonJFJames S. Floyd

Key Points

  • To systematically review validated administrative data methods and algorithms used to detect atrial fibrillation.
  • Conducted a systematic review of validated administrative algorithms and diagnostic codes used to detect atrial fibrillation across healthcare databases.

Structured PICO

Do administrative data algorithms accurately identify atrial fibrillation?

P
Population
Patients in administrative databases evaluated for atrial fibrillation
I
Intervention
Algorithms using administrative data (e.g., ICD-9 code 427.31) to identify atrial fibrillation
O
Outcome
Validity of algorithms for identifying atrial fibrillation

While ICD-9 code 427.31 performs relatively well for identifying atrial fibrillation, contemporary algorithms incorporating both inpatient/outpatient codes and electronic ECG data are needed.

Limitations

  • few recent data
  • use of nonrepresentative populations
  • disproportionate focus on inpatient data

Abstract

The ICD-9 code 427.31 performed relatively well, but conclusions about algorithm validity are hindered by few recent data, use of nonrepresentative populations, and a disproportionate focus on inpatient data. An optimal contemporary algorithm would likely draw on inpatient and outpatient codes and electronic ECG data. Additional research is needed in representative, contemporary populations regarding algorithms that identify incident AF and incorporate electronic ECG data.

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Cite This Study

Jensen et al. (2012) studied this question.

synapsesocial.com/papers/69eede86a84321e0ae63c46ahttps://doi.org/10.1002/pds.2317
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