技术支持的心理治疗实践中的抑郁和焦虑结果:回顾性队列研究
Nicholas R Forand1, Jasmine Nettiksimmons1, Margaret Anton1
1Two Chairs, San Francisco, CA, United States.
JMIR formative research
|December 2, 2025
概括
技术支持的基于测量的护理 (MBC) 显著改善了抑郁和焦虑患者的心理健康结果. 这种方法,在数字工具的支持下,证明了高保留率和显著的症状减少,表明其在提高治疗质量的有效性.
科学领域:
- 心理健康 心理健康
- 医疗信息学 医疗信息学
- 临床心理学 临床心理学
背景情况:
- 心理健康状况给社会带来了巨大的成本和痛苦.
- 在初级保健中获得高质量的心理健康治疗往往是有限的,导致不理想的结果.
- 基于测量的护理 (MBC) 和数字工具为改善护理质量和效率提供了潜在的解决方案.
研究的目的:
- 评估在技术支持的心理治疗实践中对患者的保留和抑郁和焦虑的结果.
- 评估MBC平台和临床决策支持工具等创新对精神卫生保健服务的影响.
主要方法:
- 一项回顾性队列研究分析了2984名在混合技术支持的行为健康提供者治疗的成年人.
- 患者健康问卷-9 (PHQ-9) 和一般焦虑障碍-7 (GAD-7) 用于评估抑郁和焦虑症状.
- 关键指标包括保留率,调查完成率,可靠的变化,恢复,缓解和症状轨迹.
主要成果:
- 观察到高患者保留率 (89.1%) 和MBC调查完成率 (96.3%).
- 在第12次会议中,人们注意到抑郁和焦虑症状的显著改善,可靠改善率高 (65.8%) 和恢复率高 (53.2%).
- 总体而言,79.2%的患者在治疗结束时实现了改善或康复,效果大小很大 (科恩d>0.9).
结论:
- 技术支持的基于测量的护理 (MBC) 和临床决策支持系统 (CDSS) 在支持高质量的心理健康结果方面表现有前途.
- 这些综合技术方法可以提高精神卫生保健中的患者保留率和症状改善.
- 这些发现表明,一个可行的模式,以提高心理健康服务的有效性和可访问性.
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