为卫生保健工作者提供预防性压力管理mHealth干预措施的优化干预组件:实验事实研究
Leo Kowalski1, Anna Finnes2,3, Sabine Koch1
1Health Informatics Centre, Department of Learning, Informatics, Management, and Ethics, Karolinska Institutet, Tomtebodavägen 18a, Stockholm, 171 65, Sweden, 46 706758656.
数字干预有效地减少了医疗保健工作者的工作压力. 结合自我洞察力和可操作的建议组成部分,特别是需求和控制,显著改善了心理健康结果并减少了倦怠.
科学领域:
- 数字健康数字健康
- 职业健康心理学 职业健康心理学
- 干预科学 干预科学
背景情况:
- 工作压力是精神健康问题的重要危险因素,如倦怠和抑郁症.
- 在COVID-19大流行期间,医疗保健工作者面临着更高的工作压力,需要有针对性的支持.
- 数字干预为压力管理提供了可扩展和可访问的解决方案.
研究的目的:
- 确定最有效的数字干预组件,以预防与压力相关的健康问题.
- 优化未来的数字干预设计,以提高有效性.
主要方法:
- 一项涉及297名瑞典医护人员的因子研究测试了5个数字干预组件:参与,需求,控制,日记和精神教育.
- 参与者接受了这些成分的各种组合.
- 与压力相关的结果 (倦怠,焦虑,抑郁) 被测量为干预前,干预后和1个月的随访.
主要成果:
- 需求和控制组件的组合显示出最有前途的效果,增加了社会支持和工作创造力,同时减少了情绪疲劳,倦怠和焦虑.
- 如果不包括需求或控制组件,结果就会变得更糟,而如果不包括任何一个组件,结果就会变得更糟.
- 随着参与和需求,以及日记和精神教育组件,正念的增加.
结论:
- 将自我洞察组件与可操作的咨询组件相结合,对于最佳的数字压力管理干预至关重要.
- 结果可以指导未来临床试验的预防性数字压力管理工具的开发.
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