Overview
The FACT-CSI is a 24-item instrument for patients with carcinoid syndrome that can be scored as a single, multidimensional symptom index, or sub-scored by domain (disease-related physical symptoms, disease-related emotional symptoms, treatment side effects, and functional well-being), meeting FDA guidance recommendations while allowing maximum flexibility for both global and targeted symptom evaluation. Its development followed FDA guidelines for the patient-reported outcome measures, which emphasizes improvement in tumor-related symptoms or delays in symptom progression as evidence of clinical benefit for patients in oncology drug trials. Methods consistent with the FDA guidance were utilized along with prior experience developing 11 National Comprehensive Cancer Network (NCCN) symptom indexes to identify the highest priority symptoms and concerns of patients with GINET, PNET, and LNET, and of patients with CS, to inform the development of a set of NET symptom indexes appropriate for use in both clinical trial and clinic settings.
MEASURE NAME:
Functional Assessment of Cancer Therapy - Carcinoid Syndrome Symptom Index (FACT-CSI) / FACT-NET
VERSION:
4
NUMBER OF ITEMS:
FACT-CSI - 24 items
FACT-GINET - 18 items
FACT-GINET + CSI - 29 items
FACT-LNET - 17 items
FACT-LNET + CSI - 30 items
FACT-PNET - 19 items
FACT-PNET + CSI - 29 items
PATIENT POPULATION:
Patients 18 years and older with carcinoid syndrome, GINET, PNET or LNET
RECALL PERIOD:
Past 7 days
RESPONSE SCALE:
5 point Likert-type scale
DATA COLLECTION:
Paper and electronic
ADMINISTRATION:
Self-administration and interview when applicable
SUBSCALE DOMAINS:
CSI, GINET, LNET, PNET
TIME FOR COMPLETION:
5-10 minutes
SCORING:
Manual scoring template, some items are reverse scored. Subscale scores and total scores possible.
RELATED MEASURES:
Language Availability
Available translations of the FACT-CSI can be obtained by registering for permission. Users are not permitted to translate the FACT-CSI without permission from FACIT.org. Permission from FACIT.org to translate the FACT-CSI may also be contingent upon timeline expectations and availability of FACIT staff. Translations must undergo a rigorous methodology under the guidance of FACIT.org which includes multiple translators, QA steps and cognitive interviews with patients. For commercial use, FACITtrans is the approved translation vendor to translate the FACIT measurement system.
Please contact us for more information.
Licensing
Licensing fees are assessed on a per trial/per measure basis for commercial use. There is no fee for use of the English version, but a license should be obtained.
Non-commercial use is assessed on a case-by-case basis. Licensing fees are typically not applied to investigator-initiated research, students, or clinical use.
To license an available version of this measure for commercial or non-commercial use, please complete our registration form. All of the information provided in the form will be kept strictly confidential. For questions, please contact us.
Selected References
Shaunfield S, Webster K, A, Kaiser K, Greene G, J, Yount S, E, Lacson L, Benson A, B, Halperin D, M, Yao J, C, Singh S, Feuilly M, Marteau F, Cella D: Development of the Functional Assessment of Cancer Therapy-Carcinoid Syndrome Symptom Index. Neuroendocrinology 2021;111:850-862. doi: 10.1159/000511482.
Bonomi, A.E., Cella, D.D., Hahn, E.A., Bjordal, K., Sperner, B., Gangeri, L., Bergman, B., Willems, J., Hanquet, P., & Zittoun, R. Multilingual translation of the Functional Assessment of Cancer Therapy (FACT) quality of life measurement system. Quality of Life Research 1996; 5: 309-320.
Eremenco, S., Arnold, B., Cella, D. A comprehensive method for the translation and cross-cultural validation of health status questionnaires. Evaluation & the Health Professions 2005; 28(2): 212-232.
Webster K., Cella D., Yost K. The Functional Assessment of Chronic Illness Therapy (FACIT) measurement system: Properties applications, and interpretation. Health and Quality of Life Outcomes 2003; 1(1): 79-85.
Yost K.J., Eton D.T. Combining distribution- and anchor-based approaches to determine minimally important differences: The FACIT experience. Evaluation & the Health Professions 2005; 28(2): 172-191.
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