Palliative Care-Advancing Patient-Centered Evaluation: The NFOSI-18 in Advanced Ovarian Cancer Research
Received Date: Dec 04, 2023 / Accepted Date: Dec 19, 2023 / Published Date: Dec 20, 2023
Abstract
This study addresses the imperative for enhanced measurement of clinically significant symptoms in advanced cancer, focusing on Health-Related Quality of Life (HRQOL) as a pivotal endpoint in assessing treatment outcomes. The National Comprehensive Cancer Network-Functional Assessment of Cancer Therapy (NCCN-FACT) advanced cancer symptom indexes were developed through a meticulous, multi-step methodology adhering to regulatory guidelines for patient-reported outcome measures. Eleven NCCN-FACT advanced cancer-specific symptom indices were designed to capture the most relevant symptoms identified by oncology clinicians and individuals with advanced cancer. This paper provides a succinct overview of the development of NCCN-FACT scales, highlighting their advantages over previous measures, including brevity, clinical relevance, and enhanced regulatory acceptance. We explore potential applications of these measures in palliative care, addressing interpretability-related concerns. Additionally, we present the NCCN-FACT-Ovarian Symptom Index-18 (NFOSI-18) and its precursor, the Functional Assessment of Cancer Therapy-Ovarian (FACT-O) Treatment Outcome Index (TOI), to illustrate how results from NCCN-FACT symptom indexes can be employed and interpreted in clinical practice. Given the preliminary nature of research reporting the use of NCCN-FACT symptom indexes and their content overlap with precursor measures, we suggest that published clinical trial data using cancer-specific FACT measures can guide future utilization of NCCNFACT symptom indexes in both research and clinical practice.
Citation: Ziane S (2023) Palliative Care-Advancing Patient-Centered Evaluation:The NFOSI-18 in Advanced Ovarian Cancer Research. J Palliat Care Med 13: 596.
Copyright: © 2023 Ziane S. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.