[开发和验证用于系统识别癌症患者社会弱点的工具:DEFCO工具]
Amandine Baudot1, Vanessa Dutertre2, Mathieu Oriol3
1CIC 1408 - Inserm, Centre Hospitalier Universitaire de Saint-Étienne, Saint-Étienne, France; Institut Presage, Université Jean Monnet, Saint-Étienne, France.
Bulletin du cancer
|September 18, 2024
概括
这项研究开发了一种经过验证的自我问卷,以系统地查癌症患者的社会脆弱性. 早期识别贫困患者,可提供量身定制的护理,改善健康结果.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 心理测量 心理测量 心理测量
- 在瘤学瘤学.
背景情况:
- 来自贫困背景的患者往往表现出不良的治疗坚持和健康结果.
- 早期识别社会弱势群体对于提供有针对性的干预至关重要.
- 贫困会导致增加风险因素和负面健康后果.
研究的目的:
- 构建和验证一种系统查工具,用于识别面临社会脆弱性高风险的患者.
- 为医疗保健专业人员开发一个易于使用的工具,以识别和支持弱势患者.
- 通过早期发现社会剥夺来改善患者护理途径.
主要方法:
- 开发和心理测量验证一个自我问卷.
- 未来的,单心的,两阶段的研究设计.
- 与人工神经网络集成,用于决策支持.
主要成果:
- 成功开发使用心理测量方法的自我问卷.
- 选工具在识别社会脆弱性方面表现良好.
- 该工具对医疗保健专业人员来说是用户友好的.
结论:
- 一个经过验证的自我问卷使得癌症患者能够系统地选癌症患者的社会脆弱性.
- 早期识别有助于加强患者护理途径,并防止干扰.
- 与人工智能的集成可以自动检测并减少员工的工作量.
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