A systematic review of validated methods for identifying orthopedic implant removal and revision using administrative data

Pharmacoepidemiol Drug Saf. 2012 Jan:21 Suppl 1:265-73. doi: 10.1002/pds.2309.

Abstract

Purpose: To identify studies that have validated administrative and claims database algorithms for identifying patients with orthopedic device revision or removal.

Methods: As a part of the Food and Drug Administration's Mini-Sentinel pilot program, we performed a systematic review to identify algorithms for orthopedic implant removal/revision in administrative and claims databases in the USA or Canada.

Results: Five studies examined the validity of database algorithms against a gold standard of documentation in medical records (n = 3) or codes/documentation in another database (n = 2). The positive predictive values (PPV) of the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and/or the Current Procedural Terminology codes for revision total hip arthroplasty (THA) in the US Medicare population compared with medical record review were 92%and 91%, respectively. In another study of the US Medicare population, multiple ICD-9 codes for revision total knee arthroplasty were compared with newly available single ICD-9-CM codes for revision knee arthroplasty; sensitivity was 87% and specificity was 99% (PPV not provided). The fourth study validated the ICD-9-CM codes for revision total knee arthroplasty against Ontario health insurance physician fee service claims as the gold standard and found a PPV of 32%. In the last study in Medicare population, the accuracy of the attribution of revision THA to the same side as the earlier index primary THA was examined; PPV for same laterality of revision THA was 71% (using ICD-9-CM codes).

Conclusions: Validation data, with regard to the ICD-9-CM or the Current Procedural Terminology code algorithms for revision THA in the Medicare population, exist. More validation studies are needed to confirm these findings and examine other large databases.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review
  • Systematic Review

MeSH terms

  • Algorithms*
  • Arthroplasty, Replacement / statistics & numerical data*
  • Canada / epidemiology
  • Databases, Factual / statistics & numerical data
  • Device Removal / statistics & numerical data
  • Humans
  • Insurance Claim Review / statistics & numerical data
  • International Classification of Diseases
  • Pilot Projects
  • Prostheses and Implants / statistics & numerical data*
  • Reoperation / statistics & numerical data
  • United States / epidemiology
  • United States Food and Drug Administration
  • Validation Studies as Topic*