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Consensus in controversy: The modified Delphi method applied to Gynecologic Oncology practice

  • Author(s): Cohn, DE
  • Havrilesky, LJ
  • Osann, K
  • Lipscomb, J
  • Hsieh, S
  • Walker, JL
  • Wright, AA
  • Alvarez, RD
  • Karlan, BY
  • Bristow, RE
  • DiSilvestro, PA
  • Wakabayashi, MT
  • Morgan, R
  • Mukamel, DB
  • Wenzel, L
  • et al.

Published Web Location

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920477/pdf/nihms787576.pdf
No data is associated with this publication.
Abstract

© 2015 Elsevier Inc. Objectives To determine the degree of consensus regarding the probabilities of outcomes associated with IP/IV and IV chemotherapy. Methods A survey was administered to an expert panel using the Delphi method. Ten ovarian cancer experts were asked to estimate outcomes for patients receiving IP/IV or IV chemotherapy. The clinical estimates were: 1) probability of completing six cycles of chemotherapy, 2) probability of surviving five years, 3) median survival, and 4) probability of ER/hospital visits during treatment. Estimates for two patients, one with a low comorbidity index (patient 1) and the other with a moderate index (patient 2), were included. The survey was administered in three rounds, and panelists could revise their subsequent responses based on review of the anonymous opinions of their peers. Results The ranges were smaller for IV compared with IP/IV therapy. Ranges decreased with each round. Consensus converged around outcomes related to IP/IV chemotherapy for: 1) completion of 6 cycles of therapy (type 1 patient, 62%, type 2 patient, 43%); 2) percentage of patients surviving 5 years (type 1 patient, 66%, type 2 patient, 47%); and 3) median survival (type 1 patient, 83 months, type 2 patient, 58 months). The group required three rounds to achieve consensus on the probabilities of ER/hospital visits (type 1 patient, 24%, type 2 patient, 35%). Conclusions Initial estimates of survival and adverse events associated with IP/IV chemotherapy differ among experts. The Delphi process works to build consensus and may be a pragmatic tool to inform patients of their expected outcomes.

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