通过无监督学习算法进行分类后,评估中国持续性,偶发性和非高需要的高成本住院儿童之间的差异
Peng Zhang1, Bifan Zhu2, Linan Wang3
1School of Humanities, Shanghai Institute of Technology, Haiquan Road 100, Fengxian District, Shanghai, China.
Archives of public health = Archives belges de sante publique
|November 20, 2024
概括
中国的高需要,高成本 (HNHC) 儿科患者被分为持久性,偶发性和非HNHC组. 持久性HNHC儿童的成本更高,需要有针对性的干预措施以获得更好的结果.
科学领域:
- 儿科医疗保健 儿科医疗保健
- 卫生经济学 卫生经济学
- 数据科学在医学中的数据科学
背景情况:
- 高需要,高成本 (HNHC) 患者是全球医疗改革的重点.
- 在中国对HNHC儿科人口的研究有限,需要进一步调查.
- 了解HNHC患者个人资料对于有效的资源配置和政策制定至关重要.
研究的目的:
- 为了对中国的高需要,高成本 (HNHC) 儿科患者进行分类.
- 分析不同HNHC患者群体中不同的特征和医疗保健利用模式.
- 确定影响住院儿童HNHC状态的关键因素.
主要方法:
- 对上海688131名住院儿童 (2017-2023) 的回顾性观察队列研究.
- K-means集群算法用于基于HNHC状态的患者分类.
- 用于分析的描述性统计学,克鲁斯卡尔-瓦利斯H测试和逻辑回归模型.
主要成果:
- 确定了三组患者:持续性HNHC (1,871),偶发性HNHC (32,539) 和非HNHC (653,721).
- 持久性HNHC患者表现出显著更高的成本和更长的HNHC持续时间.
- 观察到不同的医疗保健利用模式,包括更高的急诊病例,手术率和更长的住院时间,白血病是一个普遍且昂贵的疾病.
结论:
- 这项研究提供了对中国HNHC儿科患者的分类和影响因素的关键见解.
- 持久性HNHC患者需要量身定制的干预措施来优化健康结果并减少医疗保健支出.
- 建议包括加强医疗覆盖,专业医疗保健服务和早期干预策略.
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