Consensus-Derived Quality Performance Indicators for Neuroendocrine Tumour Care

Braden Woodhouse, Sharon Pattison, Eva Segelov, Simron Singh, Kate Elizabeth Parker, Grace Kong, William Macdonald, David Wyld, Goswin Meyer-Rochow, Nick Pavlakis, Siobhan Conroy, Vallerie Gordon, Jonathan Koea, Nicole Krämer, Michael Michael, Kate Wakelin, Tahmina Asif, Dorothy Lo, Timothy Price, Ben Lawrenceon behalf of the Commonwealth Neuroendocrine Tumour Collaboration (CommNETs)

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

Abstract

Quality performance indicators (QPIs) are used to monitor the delivery of cancer care. Neuroendocrine tumours (NETs) are a family of individually uncommon cancers that derive from neuroendocrine cells or their precursors, and can occur in most organs. There are currently no QPIs available for NETs and their heterogeneity makes QPI development difficult. CommNETs is a collaboration between NET clinicians, researchers and advocates in Canada, Australia and New Zealand. We created QPIs for NETs using a three-step consensus process. First, a multidisciplinary team used the nominal group technique to create candidates (n = 133) which were then curated into appropriateness statements (62 statements, 44 sub-statements). A two-stage modified RAND/UCLA Delphi consensus process was conducted: an online survey rated the statement appropriateness then the top-ranked statements (n = 20) were assessed in a face-to-face meeting. Finally, 10 QPIs met consensus criteria; documentation of primary site, proliferative index, differentiation, tumour board review, use of a structured pathology report, presence of distant metastasis, 5- and 10-year disease-free and overall survival. These NET QPIs will be trialed as a method to monitor and improve care for people with NETs and to facilitate international comparison.
Original languageEnglish
Title of host publicationAdvances in Diagnosis and Therapy of Neuroendocrine Neoplasms
EditorsEva Segelov
Place of PublicationSwitzerland
PublisherMDPI AG
Pages15-26
Number of pages12
ISBN (Print)9783039437450, 9783039437467
Publication statusPublished - Jan 2021

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