调整的发病率组算法的适用于医疗保健规划:意大利试点研究的结果
Roberta Papa1, Francesco Balducci2, Giulia Franceschini2
1Regional Health Agency, Marche Region, via Gentile da Fabriano n.3, Ancona, 60125, Italy. roberta.papa@regione.marche.it.
BMC public health
|October 17, 2024
概括
调整的发病率组 (AMG) 算法有效地评估了意大利一个地区的健康风险,确定了慢性疾病和资源利用情况. 这支持综合护理和可持续的医疗保健系统.
科学领域:
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
背景情况:
- 基于人口的健康风险评估 (HRA) 工具对于综合护理至关重要,但面临采用障碍.
- 全球范围内存在众多HRA算法,但技术,功能和经济挑战限制了它们的广泛使用.
- 本研究解决了在医疗保健规划中需要有效的HRA工具的需求.
研究的目的:
- 在意大利某个地区应用调整的发病率组 (AMG) 算法.
- 评估AMG算法在支持医疗保健决策和规划方面的表现.
- 评估算法的可转移性和更广泛的欧洲实施潜力.
主要方法:
- 从2015年到2021年使用了五个医疗保健行政数据库 (HAD).
- 开发了一种代的,半自动化的程序,用于数据提取,过,检查和合并.
- 应用了AMG算法并进行了描述性分析,通过可视化仪表板呈现结果.
主要成果:
- 该AMG算法提供了对马尔克市民健康状况的洞察,从45岁开始识别慢性疾病.
- 高复杂度的个体表现出增加的死亡率和医疗资源利用率.
- 一个仪表板为利益相关者提供了有关人口健康和服务使用的可访问和最新信息.
结论:
- 该AMG算法的灵活性和对决策者和临床医生的支持表明了欧洲实施的潜力.
- 定义了在欧盟范围内成功转移HRA工具的策略和经验教训.
- 倡导HRA战略作为医疗保健政策的支柱,以人为本的护理和系统可持续性为中心.
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