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影响虚拟协作护理对抑郁和焦虑的结果的因素
Chase Walker1, Virna Little2, Jian Joyner2
1Research Department, JG Research and Evaluation, Bozeman, Montana, United States.
Journal of family medicine and primary care
|July 1, 2024
概括
更多地参与协作护理,特别是虚拟模型,改善了抑郁症和焦虑症的结果. 诸如保险类型和预约时间等因素显著影响患者在行为健康治疗中的改善.
科学领域:
- 行为健康 行为健康
- 医疗保健服务研究 医疗服务研究
- 数字健康数字健康
背景情况:
- 在美国,获得基于证据的行为健康治疗的限制影响了抑郁症和焦虑症患者.
- 协作护理模式 (CoCM) 将行为医疗整合到初级保健中,并被证明是有效的,特别是通过远程医疗.
- 对影响CoCM结果的患者特异性治疗因素的研究很少.
研究的目的:
- 在虚拟 CoCM 中分析与患者抑郁和焦虑障碍改善相关的因素.
- 通过PHQ-9和GAD-7得分变化测量影响治疗结果的关键患者级变量.
主要方法:
- 使用逐步后勤回归模型来确定重要因素.
- 分析包括患者人口统计,临床参与,保险类型和临床接触点.
- 用标准化症状查得分 (PHQ-9和GAD-7) 评估患者的改善情况.
主要成果:
- 较多的临床接触点与抑郁症和焦虑症的改善结果相关.
- 与医疗补助相比,商业保险与更好的改善有关.
- 预约和精神病学咨询的持续时间对患者的结果产生了微妙的影响.
结论:
- 患者参与和特定的治疗要素显著影响虚拟协作护理的结果.
- 研究结果可以为提供者提供优化治疗选择的信息,并增强对虚拟行为健康有效性的理解.
- 进一步的研究有助于改进虚拟CoCM对抑郁和焦虑的策略.
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