Ann Livingstone, Lidia Engel, Victoria White, Daswin De Silva, Jessica Bucholc, April Murphy, Elaine Cook, Cathrine Mihalopoulos, Liliana Orellana, Julie Ratcliffe, Danielle Spence, Nikki McCaffrey
{"title":"癌症患者和护理人员对电话癌症信息和支持的偏好:离散选择实验的属性和水平选择。","authors":"Ann Livingstone, Lidia Engel, Victoria White, Daswin De Silva, Jessica Bucholc, April Murphy, Elaine Cook, Cathrine Mihalopoulos, Liliana Orellana, Julie Ratcliffe, Danielle Spence, Nikki McCaffrey","doi":"10.1007/s40271-025-00746-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Preferences for Telephone Cancer Information and Support in People with Cancer and Carers: Attribute and Level Selection for a Discrete Choice Experiment.\",\"authors\":\"Ann Livingstone, Lidia Engel, Victoria White, Daswin De Silva, Jessica Bucholc, April Murphy, Elaine Cook, Cathrine Mihalopoulos, Liliana Orellana, Julie Ratcliffe, Danielle Spence, Nikki McCaffrey\",\"doi\":\"10.1007/s40271-025-00746-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>Transparent reporting of the discrete choice experiment design process is essential for credible interpretation. 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Preferences for Telephone Cancer Information and Support in People with Cancer and Carers: Attribute and Level Selection for a Discrete Choice Experiment.
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.
期刊介绍:
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