Development of ovarian cancer surgery quality indicators using a modified Delphi approach

Anna R Gagliardi1, Michael Fung Kee Fung, Bernard Langer

  • 1Surgical Oncology Program, Cancer Care Ontario, Toronto, Ontario, Canada.

Abstract

Insights

This study developed 14 quality indicators for ovarian cancer surgery. These benchmarks assess care quality across diagnosis, surgery, and adjuvant therapy, improving patient outcomes.

Area of Science:

  • Oncology
  • Surgical Quality Measurement
  • Healthcare Performance Indicators

Background:

  • Performance measurement in oncology, especially surgical care, is limited.
  • Ovarian cancer surgery is a critical component of comprehensive cancer care.
  • Developing standardized quality indicators is essential for improving surgical outcomes.

Purpose of the Study:

  • To develop evidence-based quality indicators for ovarian cancer surgery.
  • To establish benchmarks for assessing the quality of surgical care in ovarian cancer patients.
  • To utilize a modified Delphi approach for expert consensus on quality indicators.

Main Methods:

  • A multidisciplinary panel (surgeons, oncologists, pathologist, nurse) was convened.
  • Potential indicators were extracted from medical literature and reviewed.
  • A modified three-step Delphi process involving rating, discussion, and prioritization was employed.

Main Results:

  • Fourteen quality indicators were prioritized from 33 potential indicators.
  • These indicators cover multiple care phases (diagnosis, surgery, pathology, adjuvant therapy) and levels (provincial, hospital, individual).
  • Selected indicators align with national standards in other countries, focusing on access and outcomes.

Conclusions:

  • A systematic, consensus-driven approach successfully developed quality indicators for ovarian cancer surgery.
  • The indicators encompass pre-, peri-, and postoperative care, as well as patient outcomes.
  • These quality indicators are designed for broad applicability across different healthcare jurisdictions.

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