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A Validation Study of Administrative Claims Data to Measure Ovarian Cancer Recurrence and Secondary Debulking Surgery

(small study)  Abstract

Objective:

Administrative claims data offer an alternative to chart abstraction to assess ovarian cancer recurrence, treatment and outcomes. Such analyses have been hindered by lack of valid recurrence and treatment algorithms. In this study, we sought to develop claims-based algorithms to identify ovarian cancer recurrence and secondary debulking surgery, and to validate them against the gold-standard of chart abstraction.

Conclusions:

A recurrence algorithm based on treatment timing accurately identified ovarian cancer =recurrence. If validated in other populations, such an algorithm can provide a tool to compare effectiveness of recurrent ovarian cancer treatments.

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 Conclusions

Algorithms based on timing and utilization of select administrative billing codes for secondary treatment may be used to identify ovarian cancer recurrence and secondary debulking procedures. Applying these algorithms to existing sources of administrative
data can enable comparisons of treatment effects on recurrent ovarian cancer morbidity and mortality that can inform treatment decision-making in the
absence of clinical trial results.