癌症患者和护理人员对电话癌症信息和支持的偏好:对离散选择实验的属性和水平选择
Ann Livingstone1, Lidia Engel2, Victoria White3
1Institute for Health Transformation, Deakin Health Economics, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, VIC, Australia. a.livingstone@deakin.edu.au.
癌症信息服务 (CISS) 的属性是使用人工智能,焦点小组和文献评论来确定的. 这确保了未来的实验准确地反映了癌症支持的呼叫者优先事项.
科学领域:
- 医疗保健研究的研究.
- 患者支持服务服务.
- 卫生沟通健康沟通
背景情况:
- 电话癌症信息和支持服务 (CISS) 为受癌症影响的人提供了至关重要的资源.
- 了解用户对CISS操作特征的偏好对于服务改进至关重要.
研究的目的:
- 描述一个离散选择实验 (DCE) 的属性和水平的发展,重点是癌症委员会维多利亚州的CISS.
- 为癌症支持服务的关键运营特征引发偏好.
主要方法:
- 采用了混合方法方法,以ISPOR联合分析的检查清单为指导.
- 使用人工智能分析CISS呼叫 (2018-2021),与癌症患者和护理人员的焦点小组以及系统文献审查来开发属性.
- 一个四阶段的过程涉及专家小组,包括研究人员,CISS工作人员和消费者,以协商一致来完善属性.
主要成果:
- 对呼叫数据 (7701名癌症患者,5500名护理人员) 和焦点小组 (10名患者,11名护理人员) 的分析以及文献综述产生了14个候选属性.
- 专家小组最终选择了七个属性:后续通话,营业时间,附加技术,运营商类型,运营商一致性,通话长度和服务费用.
结论:
- 对DCE设计的透明报告对于可信的结果解释至关重要.
- 采用四个阶段的多模式方法,确保选定的属性和级别反映了CISS呼叫者优先级.
- 这种方法可能适用于其他基于选择的医疗保健研究.
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