Responding to the challenges of Adolescent Perinatal Depression with patient-centered mobile health

项目总结/摘要 围产期抑郁症（PD）是更流行的青少年比老年围产期妇女。在LMIC， 母婴健康服务主要由基层医疗的非专科医生提供 由于人力资源不足。然而，尽管初级保健提供了有效的治疗， 自我耻辱和医护人员的耻辱感的结合加剧了 排斥未成年母亲，限制她们利用现有服务。 无处不在，可以作为混合方法中的治疗工具 移动的技术与面对面护理相结合，以增加患者与护理的接触。在尼日利亚，移动的电话使用率很高， 青少年。考虑到人们普遍认为年轻人经常离不开他们的移动的手机， 移动的技术为向这一群体提供保健提供了一种实用的媒介。目标 这项拟议的新兴全球健康领袖K43奖的目的是发展Lola Kola博士在以下方面的专业知识： 开发和使用移动健康工具，以扩大基于证据的心理社会干预措施， LMIC常规护理中的疾病。通过研究，课程和结构化的导师活动， 候选人将获得以下方面的新能力：（1）心理健康研究中的移动的技术方法，（2） 实施研究方法，（3）高级分析和统计方法，（4） 在LMIC环境中独立领导大型研究项目的专业发展。德罗尔博士 Ben Zeev、Oye Gureje、大卫阿特金斯和克里克隆德将指导她。 过去在尼日利亚加大了努力，特别是最近完成的一项研究，扩大对围产期妇女的护理 抑郁症（EXPONATE）在初级保健，结果表明，青少年母亲较少 可能参加治疗会议，他们的孩子有较差的结果，尽管有效的 治疗将调整使用mhGAP指南的EXPONATE研究的治疗指南 用于mHealth。候选人将利用以用户为中心的方法来设计，开发和完善 在常规护理中治疗青少年围产期抑郁症的移动卫生系统，以及 使用实现研究原则，制定R 01应用程序中的可扩展性路线图。的 研究推进了FIC的使命（目标2），即通过技术刺激创新，以解决全球 健康问题，并有助于国家精神卫生战略计划目标4，以加强公共卫生的影响， 支持研究。它推动全球心理健康的重大挑战，以改善和增加 获得循证护理（目标C和F）。将心理健康纳入初级保健， 获得护理也是世卫组织2013-2020年行动计划的目标。来自指导研究的数据将 提供关于mHealth在LMIC中治疗APD的独特信息。在培训结束时， 候选人将获得在心理健康研究中使用mHealth的强大基础技能

Project Summary/Abstract Perinatal depression (PD) is more prevalent among adolescents than older perinatal women. In LMIC, Maternal and Child Health (MCHC) services are provided mainly by non-specialist clinicians in primary care due to insufficient human resources. However, despite availability of effective treatment in primary care, a combination of self stigma and perceived stigma from health care workers exacerbate feelings of ostracization in adolescent mothers and limit their use of available services. ubiquitous and can be leveraged as therapeutic tools in a blended approach Mobile technologies are with face to face care to increase patients' contact with care. In Nigeria there is high usage of mobile phones even among adolescents. Given the common observation that young people are often attached to their mobile phones, mobile technologies provide a practical medium for the delivery of health care to this population. The goal of this proposed Emerging Global Health Leader K43 Award is to develop Dr Lola Kola's expertise in the development and use of mHealth tools to scale up evidence based psychosocial interventions for mental disorders within routine care in LMIC. Through research, coursework, and structured mentorship activities, the candidate will acquire new competency in (1) Mobile Technology Methods in Mental Heath research, (2) Implementation research methodologies, (3) Advanced Analytic and Statistical methods and (4) Professional development to lead Large-scale research projects independently in LMIC settings. Drs Dror Ben Zeev, Oye Gureje, David Atkins and Crick Lund will mentor her. The mentored research will build on past scale up efforts in Nigeria, specifically a recently concluded study, Expanding care for perinatal women with depression (EXPONATE) in primary care, where results showed that adolescent mothers were less likely to attend treatment sessions, and their children had poorer outcomes despite availability of effective treatment. The treatment guide for the EXPONATE study which utilises mhGAP guidelines, will be adapted for mHealth use. Candidate will utilise a User-Centered approach to design, develop, and refined the mHealth system for the treatment of Adolescent Perinatal Depression (APD) within routine care, and develop a roadmap to scaleability in an R01 application using implementation research principles. The research advances FIC's mission (GOAL 2) to stimulate innovation through technologies to address global health problems and contributes to NIMH Strategic Plan Objective 4 to strengthen Public Health Impact of supported Research. It advances Grand Challenges in Global Mental Health to improve and increase access to evidence based care (Goal C and F). Integration of mental health into primary care and improved access to care are also goals of the WHO Action Plan 2013-2020. Data from the mentored study will provide unique information on mHealth use in the treatment of APD in LMIC. At the end of the training, candidate will have acquired strong foundational skills for mHealth use in mental health research