通过虚拟参与改变健康和减少围产期焦虑:随机对照试验的协议
Carolyn Ponting1, Rebecca J Baer2,3,4, Kacie Blackman5
1Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, United States.
JMIR research protocols
|May 30, 2025
概括
这项研究调查了低收入和边缘化孕妇的产前焦虑的数字认知行为疗法 (dCBT). 它的目的是评估dCBT.
科学领域:
- 围产期心理健康研究
- 数字健康干预措施 数字健康干预措施
- 孕产妇护理中的健康公平
背景情况:
- 产前焦虑影响20-30%的孕妇,与不良健康和产后结果有关.
- 由于健康的社会决定因素,少数群体和低收入群体面临更高的产前焦虑风险.
- 数字认知行为疗法 (dCBT) 的有效性在边缘化孕妇群体中还未得到充分研究.
研究的目的:
- 在低收入孕妇中进行dCBT应用程序 (Daylight) 的随机对照试验.
- 在研究人口中过度抽样种族,种族,性和性别少数民族身份.
- 评估dCBT在这个未研究的群体中的有效性和可接受性.
主要方法:
- 132名参与者被随机分为1:1进行dCBT干预或等候名单控制.
- 干预涉及一个自我指导的应用程序教学4核心的认知行为治疗技能.
- 主要结局:普遍焦虑症状;次要:抑郁,压力,怀孕焦虑,失眠.
主要成果:
- 招聘开始于2024年6月.
- 数据分析将使用线性混合模型来评估随时间推移的治疗效果.
- 模型将容纳治疗意图和敏感性分析,以获得可靠的结果.
结论:
- 这项试验将确定自我引导的dCBT对产前焦虑的有效性.
- 它解决了为边缘化孕妇获得基于证据的心理健康护理的重大障碍.
- 调查结果将为使用数字干预来改善围产期心理健康平等提供信息.
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