A diagnostic accuracy study validating cardiovascular ICD-9-CM codes in healthcare administrative databases. The...

Area of Science:

• Cardiovascular research
• Health informatics
• Medical coding accuracy

Background:

• Administrative healthcare databases offer cost-effective insights into disease burden.
• Data reliability is crucial for accurate health research.
• Validation of diagnostic codes is essential for robust epidemiological studies.

Purpose of the Study:

• To validate ICD-9 codes for acute myocardial infarction (AMI), atrial fibrillation/flutter (AF), and heart failure (HF).
• To assess the reliability of administrative data for cardiovascular research.
• To support the use of administrative databases in epidemiological and health services research.

Main Methods:

• Utilized administrative data from the Umbria Region (2012-2014).
• Identified patients with first hospital discharge for AMI, AF/flutter, and HF using ICD-9-CM codes.
• Reviewed a random sample of medical charts for case ascertainment and calculated diagnostic accuracy metrics.

Main Results:

• High accuracy for AMI (sensitivity 98%, specificity 91%), AF/flutter (sensitivity 95%, specificity 95%), and HF (sensitivity 96%, specificity 90%).
• Positive predictive values exceeded 94% and negative predictive values exceeded 92% for all conditions.
• All studied cardiovascular conditions demonstrated diagnostic accuracy above 90%.

Conclusions:

• ICD-9 code validation confirms high accuracy for major cardiovascular conditions.
• The Umbria Region's healthcare administrative database is reliable for research.
• Validated administrative data can be confidently used for epidemiological, outcome, and health services research.