调查晚期乳腺癌或肺癌患者在自然环境中的经验:经验抽样研究方案
Joran Geeraerts1, Lara Pivodic2, Kim De Nooijer2
1End-of-Life Care Research Group, Vrije Universiteit Brussel, Brussel, Belgium joran.geeraerts@vub.be.
BMJ open
|February 14, 2024
概括
这项研究试验了一种数字方法,用于跟踪晚期癌症患者的日常症状. 这些发现将有助于通过了解患者的波动体验来改善支持.
科学领域:
- 在瘤学瘤学.
- 心理测量 心理测量 心理测量
- 数字健康数字健康
背景情况:
- 晚期癌症患者面临多维症状,每日波动不明.
- 经验采样方法 (ESM) 具有生态有效性,但可能会给患者带来负担.
- 了解日常症状动态对于优化支持性护理至关重要.
研究的目的:
- 预先测试并评估已验证的ESM对晚期癌症患者的可行性和临床实用性.
- 探索患有晚期乳腺癌或肺癌的个体的日常身体,心理,社会和精神生存经历.
- 通过采访医疗保健专业人员来评估ESM的临床实用性.
主要方法:
- 这是一个两步的方法,包括可用性访谈,ESM试点研究和ESM观察研究.
- 参与者 (晚期乳腺/肺癌) 将每天填写10次数字问卷.
- 多层次回归模型将分析经验和背景的时间关系;面试的内容分析.
主要成果:
- 将评估ESM的可行性和参与率.
- 将分析患者体验和背景之间的每日波动和时间关系.
- 将收集医疗保健专业人士关于ESM在瘤学中的临床实用性的观点.
结论:
- 如果可行,这种经过验证的ESM可以为晚期癌症患者的日常生活提供新的见解.
- 优化支持性护理策略可以根据更好地了解波动的患者体验而开发.
- 这项研究为在瘤学中整合数字工具铺平了道路,以加强患者监测和支持.
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