The patient · 2025
Preferences for Telephone Cancer Information and Support in People with Cancer and Carers: Attribute and Level Selection for a Discrete Choice Experiment.
СтатьяСистематический обзорПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Livingstone Ann, Engel Lidia, White Victoria, De Silva Daswin, Bucholc Jessica, Murphy April, Cook Elaine, Mihalopoulos Cathrine, Orellana Liliana, Ratcliffe Julie, Spence Danielle, McCaffrey Nikki, 131120 Social Return on Investment (SROI) Project Team
Аннотация
BACKGROUND AND OBJECTIVE: Telephone cancer information and support services (CISS) deliver essential evidence-based resources for people living with cancer. This research aimed to describe how attributes and levels were developed for a future discrete choice experiment to elicit preferences for operational characteristics of a CISS, focusing on Cancer Council Victoria's service.
METHODS: Using a mixed-methods approach guided by the ISPOR checklist for conjoint analysis in healthcare, initial attributes were developed using an artificial intelligence framework to analyse CISS calls (January 2018-December 2021), focus groups with people with cancer and carers using the CISS (July-August 2022), and a systematic literature review of qualitative studies. A four-stage descriptive process guided attribute and level development. An expert panel of researchers (n = 10), a CISS staff member, a person with lived experience of cancer and a consumer-only panel (n = 7) met monthly to prioritise, refine and finalise attributes by consensus.
RESULTS: Call data analysis (people with cancer n = 7701; carers n = 5500), six focus groups (people with cancer n = 10; carers n = 11) and a systematic literature review of qualitative studies generated 14 candidate attributes. The expert panels selected seven final attributes, each with three levels: follow-up call, operating hours, additional technology, operator type, operator consistency, call length and service fee.
CONCLUSIONS: Transparent reporting of the discrete choice experiment design process is essential for credible interpretation. The four-stage approach enhanced the comprehensibility of the experiment, as multi-modal data ensured the selected attributes and levels accurately reflect CISS caller priorities, which may be applicable to other choice-based studies.
METHODS: Using a mixed-methods approach guided by the ISPOR checklist for conjoint analysis in healthcare, initial attributes were developed using an artificial intelligence framework to analyse CISS calls (January 2018-December 2021), focus groups with people with cancer and carers using the CISS (July-August 2022), and a systematic literature review of qualitative studies. A four-stage descriptive process guided attribute and level development. An expert panel of researchers (n = 10), a CISS staff member, a person with lived experience of cancer and a consumer-only panel (n = 7) met monthly to prioritise, refine and finalise attributes by consensus.
RESULTS: Call data analysis (people with cancer n = 7701; carers n = 5500), six focus groups (people with cancer n = 10; carers n = 11) and a systematic literature review of qualitative studies generated 14 candidate attributes. The expert panels selected seven final attributes, each with three levels: follow-up call, operating hours, additional technology, operator type, operator consistency, call length and service fee.
CONCLUSIONS: Transparent reporting of the discrete choice experiment design process is essential for credible interpretation. The four-stage approach enhanced the comprehensibility of the experiment, as multi-modal data ensured the selected attributes and levels accurately reflect CISS caller priorities, which may be applicable to other choice-based studies.