Rauseo-Ricupero Natali, Torous John
Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
JMIR Res Protoc. 2021 Jan 14;10(1):e23771. doi: 10.2196/23771.
Even before COVID-19, there has been an urgent need to expand access to and quality of mental health care. This paper introduces an 8-week treatment protocol to realize that vision-Technology Enabled Clinical Care (TECC). TECC offers innovation in clinical assessment, monitoring, and interventions for mental health. TECC uses the mindLAMP app to enable digital phenotyping, clinical communication, and smartphone-based exercises that will augment in-person or telehealth virtual visits. TECC exposes participants to an array of evidence-based treatments (cognitive behavioral therapy, dialectical behavior therapy, acceptance and commitment therapy) introduced through clinical sessions and then practiced through interactive activities provided through a smartphone app called mindLAMP.
TECC will test the feasibility of providing technology-enabled mental health care within an outpatient clinic; explore the practicality for providing this care to individuals with limited English proficiency; and track anxiety, depression, and mood symptoms for participants to measure the effectiveness of the TECC design.
The TECC study will assess the acceptability and efficacy of this care model in 50 participants as compared to an age- and gender-matched cohort of patients presenting with similar clinical severity of depression, anxiety, or psychotic symptoms. Participants will be recruited from clinics in the Metro Boston area. Aspects of TECC will be conducted in both Spanish and English to ensure wide access to care for multiple populations.
The results of the TECC study will be used to support or adapt this model of care and create training resources to ensure its dissemination. The study results will be posted on ClinicalTrials.gov, with primary outcomes related to changes in mood, anxiety, and stress, and secondary outcomes related to engagement, alliance, and satisfaction.
TECC combines new digital mental health technology with updated clinical protocols and workflows designed to ensure patients can benefit from innovation in digital mental health. Supporting multiple languages, TECC is designed to ensure digital health equity and highlights how mobile health can bridge, not expand, gaps in care for underserved populations.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/23771.
甚至在新冠疫情之前,就迫切需要扩大心理健康护理的可及性并提高其质量。本文介绍了一种为期8周的治疗方案——技术赋能临床护理(TECC),以实现这一愿景。TECC在心理健康的临床评估、监测和干预方面进行了创新。TECC使用mindLAMP应用程序实现数字表型分析、临床沟通以及基于智能手机的练习,这些将增强面对面或远程医疗虚拟就诊的效果。TECC让参与者接触通过临床课程引入的一系列循证治疗方法(认知行为疗法、辩证行为疗法、接纳与承诺疗法),然后通过一款名为mindLAMP的智能手机应用程序提供的互动活动进行实践。
TECC将测试在门诊诊所提供技术赋能心理健康护理的可行性;探索为英语水平有限的个体提供这种护理的实用性;并跟踪参与者的焦虑、抑郁和情绪症状,以衡量TECC设计的有效性。
与年龄和性别匹配、患有类似抑郁、焦虑或精神病症状临床严重程度的患者队列相比,TECC研究将评估该护理模式在50名参与者中的可接受性和疗效。参与者将从大波士顿地区的诊所招募。TECC的各个方面将以西班牙语和英语进行,以确保多种人群都能广泛获得护理。
TECC研究的结果将用于支持或调整这种护理模式,并创建培训资源以确保其传播。研究结果将发布在ClinicalTrials.gov上,主要结果与情绪、焦虑和压力的变化相关,次要结果与参与度、联盟关系和满意度相关。
TECC将新的数字心理健康技术与更新后的临床方案和工作流程相结合,旨在确保患者能够从数字心理健康创新中受益。支持多种语言,TECC旨在确保数字健康公平,并突出移动健康如何缩小而非扩大服务不足人群的护理差距。
国际注册报告识别码(IRRID):PRR1-10.2196/23771