心理健康服务精确"剂量"的框架:算法开发和临床试点
Jonathan Knights1, Victoria Bangieva2, Michela Passoni2
1Mindstrong, Inc., 101 Jefferson Drive, Suite 228, Menlo Park, CA, 94025, USA. JonathanKnights.3783@gmail.com.
International journal of mental health systems
|July 5, 2023
概括
一个新的计算框架将精神卫生保健服务模型作为干预措施,以优化抑郁症治疗计划. 这种"会话剂量"方法有助于临床医生个性化护理,并通过分析症状波动来改善患者的治疗结果.
科学领域:
- 计算精神病学是一种计算精神病学.
- 数字健康干预措施 数字健康干预措施
- 临床决策支持系统临床决策支持系统
背景情况:
- 在美国,精神疾病的发病率很高,超过一半的成年人没有接受治疗.
- 在及时和适当的精神卫生保健服务提供方面缺乏创新.
- 需要个性化治疗计划,以满足个体患者的需求.
研究的目的:
- 开发和评估一个计算框架来估计心理健康服务对抑郁症症状严重性的影响.
- 评估使用该框架优化治疗计划和支持临床决策的可行性.
- 为临床医生试点一个仪表板原型,以帮助治疗规划.
主要方法:
- 从虚拟医疗保健系统中利用历史观察性临床数据.
- 开发了一种原型计算框架,将精神卫生保健概念化为治疗干预 ("会话剂量").
- 模拟了497名患有严重抑郁症症状的患者,并与22名提供者和126名患者使用仪表板进行了为期5周的试点试验.
主要成果:
- 该框架成功模拟了患者的症状波动,77%的数据集符合个人规划的标准.
- 88%的个人被确定为通过仪表板进行会话优化规划的合适者.
- 在试点中,90%的临床医生使用了仪表板,使讨论成为可能,并确定了自动化会议建议的机会.
结论:
- 建模精神卫生保健服务可以识别其解决抑郁症状严重程度波动的潜力.
- 实施这种原型框架有助于在现实临床环境中推进心理健康护理治疗计划.
- 需要进一步的研究来评估临床终点影响和最佳集成到工作流程.
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