The Functional Assessment of Cancer Therapy Eight Dimension (FACT-8D), a Multi-Attribute Utility Instrument Derived From the Cancer-Specific FACT-General (FACT-G) Quality of Life Questionnaire: Development and Australian Value Set

King, MT; Norman, R; Mercieca-Bebber, R; Costa, DSJ; McTaggart-Cowan, H; Peacock, S; Janda, M; Muller, F; Viney, R; Pickard, AS; Cella, D

The Functional Assessment of Cancer Therapy Eight Dimension (FACT-8D), a Multi-Attribute Utility Instrument Derived From the Cancer-Specific FACT-General (FACT-G) Quality of Life Questionnaire: Development and Australian Value Set

King, MT Norman, R Mercieca-Bebber, R Costa, DSJ McTaggart-Cowan, H Peacock, S Janda, M Muller, F Viney, R

Pickard, AS Cella, D

Permalink

Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Value in Health, 2021, 24, (6), pp. 862-873
Issue Date:: 2021-06-01

Closed Access

	Filename	Description	Size
	1-s2.0-S1098301521001091-main.pdf		1.25 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	King, MT
dc.contributor.author	Norman, R
dc.contributor.author	Mercieca-Bebber, R
dc.contributor.author	Costa, DSJ
dc.contributor.author	McTaggart-Cowan, H
dc.contributor.author	Peacock, S
dc.contributor.author	Janda, M
dc.contributor.author	Muller, F
dc.contributor.author	Viney, R https://orcid.org/0000-0002-0039-9635
dc.contributor.author	Pickard, AS
dc.contributor.author	Cella, D
dc.date.accessioned	2022-05-27T02:31:05Z
dc.date.available	2022-05-27T02:31:05Z
dc.date.issued	2021-06-01
dc.identifier.citation	Value in Health, 2021, 24, (6), pp. 862-873
dc.identifier.issn	1098-3015
dc.identifier.issn	1524-4733
dc.identifier.uri	http://hdl.handle.net/10453/157745
dc.description.abstract	Objectives To develop a cancer-specific multi-attribute utility instrument derived from the Functional Assessment of Cancer Therapy - General (FACT-G) health-related quality of life (HRQL) questionnaire. Methods We derived a descriptive system based on a subset of the 27-item FACT-G. Item selection was informed by psychometric analyses of existing FACT-G data (n = 6912) and by patient input (n = 82). We then conducted an online valuation survey, with participants recruited via an Australian general population online panel. A discrete choice experiment (DCE) was used, with attributes being the HRQL dimensions of the descriptive system and survival duration, and 16 choice-pairs per participant. Utility decrements were estimated with conditional logit and mixed logit modeling. Results Eight HRQL dimensions were included in the descriptive system: pain, fatigue, nausea, sleep, work, social support, sadness, and future health worry; each with 5 levels. Of 1737 panel members who accessed the valuation survey, 1644 (95%) completed 1 or more DCE choice-pairs and were included in analyses. Utility decrements were generally monotonic; within each dimension, poorer HRQL levels generally had larger utility decrements. The largest utility decrements were for the highest levels of pain (-0.40) and nausea (-0.28). The worst health state had a utility of -0.54, considerably worse than dead. Conclusions A descriptive system and preference-based scoring approach were developed for the FACT-8D, a new cancer-specific multi-attribute utility instrument derived from the FACT-G. The Australian value set is the first of a series of country-specific value sets planned that can facilitate cost-utility analyses based on items from the FACT-G and related FACIT questionnaires containing FACT-G items.
dc.language	English
dc.publisher	Elsevier
dc.relation.ispartof	Value in Health
dc.relation.isbasedon	10.1016/j.jval.2021.01.007.
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1117 Public Health and Health Services, 1402 Applied Economics
dc.subject.classification	Health Policy & Services
dc.title	The Functional Assessment of Cancer Therapy Eight Dimension (FACT-8D), a Multi-Attribute Utility Instrument Derived From the Cancer-Specific FACT-General (FACT-G) Quality of Life Questionnaire: Development and Australian Value Set
dc.type	Journal Article
utslib.citation.volume	24
utslib.for	1117 Public Health and Health Services
utslib.for	1402 Applied Economics
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Centre for Health Economics Research and Evaluation
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-05-27T02:31:04Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	24
utslib.citation.issue	6

Abstract:

Objectives To develop a cancer-specific multi-attribute utility instrument derived from the Functional Assessment of Cancer Therapy - General (FACT-G) health-related quality of life (HRQL) questionnaire. Methods We derived a descriptive system based on a subset of the 27-item FACT-G. Item selection was informed by psychometric analyses of existing FACT-G data (n = 6912) and by patient input (n = 82). We then conducted an online valuation survey, with participants recruited via an Australian general population online panel. A discrete choice experiment (DCE) was used, with attributes being the HRQL dimensions of the descriptive system and survival duration, and 16 choice-pairs per participant. Utility decrements were estimated with conditional logit and mixed logit modeling. Results Eight HRQL dimensions were included in the descriptive system: pain, fatigue, nausea, sleep, work, social support, sadness, and future health worry; each with 5 levels. Of 1737 panel members who accessed the valuation survey, 1644 (95%) completed 1 or more DCE choice-pairs and were included in analyses. Utility decrements were generally monotonic; within each dimension, poorer HRQL levels generally had larger utility decrements. The largest utility decrements were for the highest levels of pain (-0.40) and nausea (-0.28). The worst health state had a utility of -0.54, considerably worse than dead. Conclusions A descriptive system and preference-based scoring approach were developed for the FACT-8D, a new cancer-specific multi-attribute utility instrument derived from the FACT-G. The Australian value set is the first of a series of country-specific value sets planned that can facilitate cost-utility analyses based on items from the FACT-G and related FACIT questionnaires containing FACT-G items.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/157745