Scholarlink

Background and Objective <p>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> Methods <p>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 (<i>n</i> = 10), a CISS staff member, a person with lived experience of cancer and a consumer-only panel (<i>n</i> = 7) met monthly to prioritise, refine and finalise attributes by consensus.</p> Results <p>Call data analysis (people with cancer <i>n</i> = 7701; carers <i>n</i> = 5500), six focus groups (people with cancer <i>n</i> = 10; carers <i>n</i> = 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> Conclusions <p>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>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Preferences for Telephone Cancer Information and Support in People with Cancer and Carers: Attribute and Level Selection for a Discrete Choice Experiment

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月7日

查看全文
  • 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,
  • Sanchia Aranda,
  • Daswin De Silva,
  • Lidia Engel,
  • Elizabeth Fradgley,
  • Alison Hutchinson,
  • Claire Hutchinson,
  • Patricia Livingstone,
  • Cathrine Mihalopoulos,
  • Liliana Orellana,
  • Christine Paul,
  • Julie Ratcliffe,
  • Anna Steiner,
  • Victoria White

摘要

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.