Hand Trauma Case Identification Algorithm

Uses

How it works

Benefits

Comparisons

Evidence quality

Highlighted claims

• The optimal algorithm combined specific OHIP diagnostic codes or diagnostic-plus-procedure evidence within one year with at least one claim billed by a hand trauma specialist. — Development and validation of a case identification algorithm for hand trauma patients using health administrative data and the epidemiology of hand trauma in a universal healthcare system
• The optimal algorithm had sensitivity of 73.8%, specificity of 80.1%, PPV of 78.1%, and NPV of 76.1%. — Development and validation of a case identification algorithm for hand trauma patients using health administrative data and the epidemiology of hand trauma in a universal healthcare system
• The study developed and validated an algorithm to identify hand trauma patients in provincial health administrative data using clinical medical records as the reference standard. — Development and validation of a case identification algorithm for hand trauma patients using health administrative data and the epidemiology of hand trauma in a universal healthcare system
• Requiring specialist billing improved specificity and PPV with only a small decrease in sensitivity. — Development and validation of a case identification algorithm for hand trauma patients using health administrative data and the epidemiology of hand trauma in a universal healthcare system
• Requiring procedure codes for general diagnosis codes increased specificity and PPV but reduced sensitivity. — Development and validation of a case identification algorithm for hand trauma patients using health administrative data and the epidemiology of hand trauma in a universal healthcare system