Balcombe Luke, De Leo Diego
Australian Institute for Suicide Research and Prevention, Griffith University, Brisbane, Australia.
JMIR Ment Health. 2020 Jul 22;7(7):e21718. doi: 10.2196/21718.
In-person traditional approaches to mental health care services are facing difficulties amidst the coronavirus disease (COVID-19) crisis. The recent implementation of social distancing has redirected attention to nontraditional mental health care delivery to overcome hindrances to essential services. Telehealth has been established for several decades but has only been able to play a small role in health service delivery. Mobile and teledigital health solutions for mental health are well poised to respond to the upsurge in COVID-19 cases. Screening and tracking with real-time automation and machine learning are useful for both assisting psychological first-aid resources and targeting interventions. However, rigorous evaluation of these new opportunities is needed in terms of quality of interventions, effectiveness, and confidentiality. Service delivery could be broadened to include trained, unlicensed professionals, who may help health care services in delivering evidence-based strategies. Digital mental health services emerged during the pandemic as complementary ways of assisting community members with stress and transitioning to new ways of living and working. As part of a hybrid model of care, technologies (mobile and online platforms) require consolidated and consistent guidelines as well as consensus, expert, and position statements on the screening and tracking (with real-time automation and machine learning) of mental health in general populations as well as considerations and initiatives for underserved and vulnerable subpopulations.
在冠状病毒病(COVID-19)危机期间,面对面的传统心理健康护理服务面临困境。近期实施的社交距离措施已将注意力重新转向非传统的心理健康护理服务,以克服基本服务的障碍。远程医疗已经建立了几十年,但在医疗服务提供中仅能发挥小作用。心理健康的移动和远程数字健康解决方案已做好充分准备,以应对COVID-19病例的激增。通过实时自动化和机器学习进行筛查和跟踪,对于协助心理急救资源和确定干预目标均有用处。然而,需要从干预质量、有效性和保密性方面对这些新机遇进行严格评估。服务提供可扩大到包括经过培训的无执照专业人员,他们可能有助于医疗服务提供循证策略。数字心理健康服务在疫情期间出现,作为协助社区成员应对压力以及过渡到新的生活和工作方式的补充方式。作为混合护理模式的一部分,技术(移动和在线平台)需要统一且一致的指导方针,以及关于普通人群心理健康筛查和跟踪(通过实时自动化和机器学习)的共识声明、专家声明和立场声明,以及针对服务不足和弱势群体的考量与举措。