儿童喘算法决策系统的目标:儿童,家长和医生的观点
Omar Masrour1, Johan Personnic2, Flore Amat3
1Department of Pediatric Pulmonology and Allergology, University Hospital Necker-Enfants Malades, AP-HP, Paris, France.
Digital health
|February 23, 2024
概括
这项研究确定了利用算法决策系统 (ADMS) 调整儿童喘治疗的关键目标. 儿童,家长和医生在治疗优先事项上几乎没有达成一致,这凸显了共享决策的必要性.
科学领域:
- 儿科肺病学 儿科肺病学
- 医疗信息学 医疗信息学
- 决策科学 决策科学 决策科学
背景情况:
- 儿童喘管理需要个性化治疗方法.
- 算法决策系统 (ADMS) 为优化治疗适应提供了潜力.
- 确定利益相关者的目标对于在儿科喘护理中开发有效的ADMS至关重要.
研究的目的:
- 确定和优先考虑儿童喘治疗适应ADMS的目标.
- 为了比较儿童,家长和医生对治疗目标的看法.
- 评估儿童喘管理中不同利益相关者之间目标的协调程度.
主要方法:
- 一种混合方法的方法,结合了定性半结构面试和定量问卷.
- 有根据的理论被用于定性数据分析以确定目标.
- 参与者 (儿童,家长,医生) 在量化阶段对确定目标进行了排名.
主要成果:
- 确定了7个治疗目标和5个治疗模式.
- 在儿童,家长和医生之间的目标排名中发现了显著的差异.
- 一个孩子的喘病史影响了所有参与组的客观优先级.
结论:
- 确定的目标是可量化的,并且与短期和长期喘管理相关.
- 这些目标可以纳入未来的儿童喘ADMS.
- 共同决策对于在ADMS开发中对客观权重达成共识至关重要.
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