Automated Text Messaging to Improve Depression Treatment in Low-Income Settings

自动短信可改善低收入环境中的抑郁症治疗

基本信息

批准号：
8472530
负责人：
Adrian Aguilera
金额：
$ 14.69万
依托单位：
UNIVERSITY OF CALIFORNIA BERKELEY
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-05-23 至 2017-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8472530
关键词：
Address Adherence Appointment Area Award Behavior Car Phone Caring Clinical Clinical Research Cognitive Therapy Communities Complement Data Depressed mood Development Plans Disease Management Effectiveness Elements Evidence based treatment Exercise Exhibits Feedback Foundations Future Health Health Resources Health Services Research Health behavior change Individual Investigation K-Series Research Career Programs Lead Low income Manuals Measures Mediator of activation protein Medical Mental Depression Mental Health Mental Health Services Mentors Mentorship Methods Monitor Moods National Institute of Mental Health Outcome Participant Patient Self-Report Patients Pharmaceutical Preparations Pharmacotherapy Psychotherapy Public Sector Questionnaires Randomized Clinical Trials Recommendation Relaxation Research Research Methodology Research Project Grants Research Proposals Research Support Research Training Schedule Self Efficacy Services Social Interaction Societies Socioeconomic Status Symptoms Technology Testing Text Therapeutic Thinking Time Training Treatment Effectiveness base career career development community setting cost cost effective depressive symptoms diabetes management ethnic minority population experience health application health information technology improved innovation medication compliance patient oriented physical conditioning primary care setting psychosocial response smoking cessation social socioeconomics standard care success tool treatment adherence web site

项目摘要

DESCRIPTION (provided by applicant): Poor adherence to depression treatments (psychotherapy and pharmacotherapy) limits their effectiveness in community settings. Problems with adherence are especially pronounced in low-income settings. Innovative and cost-effective methods are needed to improve adherence to treatments and maximize mental health resources. Mobile phone based text messaging (or short messaging service: SMS) is a ubiquitous technology that has been used in various health applications across socioeconomic status. This technology has the potential to increase the fidelity of mental health treatments via increased adherence. The proposed research project will test whether adding an automated SMS adjunct to group cognitive behavioral therapy (CBT) for depression can increase adherence (homework adherence, attendance, medication adherence) and further reduce depression symptoms. The SMS adjunct will 1) prompt patients to monitor mood, thoughts and behaviors, 2) will provide medication and appointment reminders and 3) will send personalized CBT based tips. The information that patients provide will be used within the clinical setting to highlight interrelations between thoughts, behaviors and symptoms. The results of the research project will inform an R01 to do further testing of health information technology (HIT) applications in low-income settings. The experience gained through this award will complement previous training and prepare me for a successful clinical research career in the application of health information technologies to mental health services in low-income communities. This K23 (Mentored Patient-Oriented Career Development Award) application delineates a training and research plan seeking to improve depression treatment in low-income communities through the use of text messaging as an adjunct to psychotherapy. The applicant is seeking advanced training in 1) community based mental health services research, 2) health information technology and 3) mixed methods research via mentorship from Kurt C. Organista, Ricardo F. Mu¿oz, and Patricia A. Arean. To achieve further expertise in these areas, various training experiences are proposed with a research trial serving as the core of the career development plan.

描述（由应用提供）：对抑郁疗法（心理治疗和药物治疗）的依从性不佳限制了它们在社区环境中的有效性。在低收入环境中，依从性问题尤其明显。需要创新和具有成本效益的方法来提高对治疗的依从性并最大化心理健康资源。基于手机的文本消息传递（或简短的消息传递服务：SMS）是一种无处不在的技术，已在社会经济状况的各种健康应用中使用。这项技术有可能通过提高依从性来提高心理健康治疗的忠诚度。拟议的研究项目将测试将自动化的SMS辅助措施添加到组认知行为疗法（CBT）抑郁症是否会增加依从性（家庭作业依从性，出勤率，药物依从性）并进一步减轻抑郁症状。 SMS辅助手段将1）提示患者监控情绪，思想和行为，2）将提供药物和约会提醒，3）将发送基于CBT的个性化技巧。患者将在临床环境中使用的信息强调思想，行为和症状之间的相互关系。该研究项目的结果将告知R01在低收入环境中对健康信息技术（HIT）应用进行进一步测试。通过该奖项获得的经验将补充以前的培训，并为我为在低收入社区的心理健康服务应用健康信息技术应用方面的成功临床研究事业做好准备。该K23（由指导的患者职业发展奖）应用程序描述了一项培训和研究计划，旨在通过使用文本消息作为心理治疗的辅助手段来改善低收入社区的抑郁疗法。该应用程序正在寻求高级培训1）基于社区的精神卫生服务研究，2）健康信息技术和3）通过Kurt C. Organista，Ricardo F.Mu¿Oz和Patricia A. A. A. A.地区进行的Mentalship研究混合方法研究。为了在这些领域获得进一步的专业知识，提出了各种培训经验，该研究试验是职业发展计划的核心。