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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 administrativedata 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.
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