How accurately are we coding readmission diagnoses after total joint arthroplasty?

Area of Science:

• Orthopedic Surgery
• Health Services Research
• Medical Informatics

Background:

• Readmission rates are key quality indicators in healthcare policy, such as the Affordable Care Act.
• Accurate identification of readmission causes is essential for improving patient outcomes and healthcare efficiency.

Purpose of the Study:

• To compare physician-assigned clinical diagnoses with ICD-9 coded diagnoses for patients readmitted after primary total hip arthroplasty (THA) or total knee arthroplasty (TKA).
• To assess the accuracy and clinical relevance of coded diagnoses in quality measure calculations.

Main Methods:

• Retrospective analysis of electronic health records for patients undergoing primary THA or TKA between 2006 and 2010.
• Identification of patients readmitted within 90 days of surgery.
• Analysis of 87 de-identified medical records, comparing physician-derived diagnoses with ICD-9 coded diagnoses.

Main Results:

• The overall 90-day readmission rate was 7.9%.
• A significant disagreement (25.3%) was found between physician-derived and coder-derived diagnoses for readmissions.
• Procedure-related complications were the most frequent reasons for readmission.

Conclusions:

• Coded diagnoses for readmissions frequently do not align with clinical assessments by physicians.
• The unverified use of coded readmission diagnoses may compromise the clinical relevance of healthcare quality measures.
• Improved methods for diagnosis capture are needed to accurately reflect patient care quality.