使用RE-AIM框架评估行为健康创新的数字急救模型的实施和临床有效性:定量评估
Samuel S Nordberg1, Brittany A Jaso-Yim1, Pratha Sah1
1Reliant Medical Group, OptumCare, Worcester, MA, United States.
Journal of medical Internet research
|October 30, 2024
概括
精确行为健康 (PBH) 有效地将数字心理健康干预 (DMHI) 与初级保健中的人类支持相结合. 该模型改善了患者的治疗结果,并解决了轻度至中度精神健康状况的获取挑战.
科学领域:
- 数字健康数字健康
- 行为健康 行为健康
- 整合初级保健的整合.
背景情况:
- 美国对心理健康服务的需求日益增长.
- 数字心理健康干预 (DMHI) 是有前途的,但不是独立的解决方案.
- 患者与医疗服务提供者的比例有限,需要创新的方法.
研究的目的:
- 评估精确行为健康 (PBH) 的实施和有效性.
- 评估一个数字第一模式,将DMHI与初级保健中的人类支持整合在一起.
- 检查PBH应对行为健康挑战的能力.
主要方法:
- 利用电子健康记录和供应商数据进行分析.
- 收集患者人口统计数据,分拣结果和患者报告的结果.
- 应用RE-AIM框架来评估实施和有效性.
主要成果:
- PBH实现了47.58%的推接受率.
- 高的DMHI注册率 (79.62%),激活率 (76.54%) 和保留率 (15天后为57.69%).
- 74.01%的患者表现出临床改善;观察到高临床医生采用.
结论:
- PBH为轻度至中度的心理健康挑战提供了一个可信的模型.
- 整合DMHIs和人力支持解决了获得护理问题的问题.
- 在日常环境中,PBH显示了改善精神卫生保健服务的潜力.
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