ConProject-001

ConProject-001

基本信息

  • 批准号:
    10688687
  • 负责人:
  • 金额:
    $ 66.46万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-20 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARY Significance: The overarching goal of this proposal is to develop an intervention to help unemployed individuals with major depressive disorder (MDD) return to work. Individuals who lose their jobs are at risk for MDD and other psychiatric disorders. Because a core feature of MDD is decreased motivation, unemployed individuals with MDD can enter a `vicious cycle' where their depression leads to reduced motivation to seek work, which creates further financial hardship, which leads to worse depression and even suicide. The unprecedented impact that the COVID-19 pandemic has had on rates of depression and unemployment, has elucidated the clear need for interventions to help individuals with MDD return to work after getting laid off. Investigators: This STTR Fast Track grant brings together PeopleResults (a female-owned organizational development firm), diverse stakeholders (e.g., job seekers, community-based organizations), and Northwestern University researchers (e.g., psychologists, implementation and e-health scientists), to develop and test the efficacy of DRIVEN (Depression Return-to-work InterVEntioN). Innovation: DRIVEN is an innovative behavioral intervention that integrates evidenced-based strategies from cognitive-behavior therapy (e.g., behavioral activation techniques to improve positive affect and drive) with job-seeking and career counseling (e.g., interview coaching, how to customize job applications). DRIVEN will be a 6-week intervention largely delivered via a smartphone application (e.g., webinars, customized goals, with gamified features). However, given that e-health interventions are often plagued by high rates of attrition, DRIVEN will include multiple components designed to increase engagement, by increasing social support and accountability (e.g., biweekly live sessions with a job coach, email check-ins, gamified exercises, anonymous social media support platform). Our comprehensive commercialization plan also ensures that DRIVEN will reach job-seekers in need as it largely focuses on marketing to companies looking for outplacement services, i.e., resources provided by employers to recently laid off employees, in order to reduce the reputational fallout that companies risk following significant layoffs. Approach: Phase I will use user-centered design methodology (e.g., an advisory committee consisting of job-seekers, potential customers, experts in human resources) to design, develop, and alpha- and beta-test a prototype of DRIVEN. Phase II will test the efficacy of DRIVEN in a randomized controlled trial of 125 job seekers by comparing DRIVEN to a control condition consisting of self-guided job-seeking. Phase II will also utilize auto-regressive modelling with intensive longitudinal data to test for mediators of change (e.g., whether improvements in depression lead to greater job- seeking, and/or vice versa) Impact: DRIVEN will meet the high societal need resulting from the COVID-19 pandemic – helping the many unemployed Americans with MDD find meaningful and durable careers. While COVID-19 will (hopefully) be in the past by the end of this 3-year project, there will continue to be a need for interventions to help job-seekers with depression nimbly and successfully find work.
项目摘要 意义:该提案的总体目标是制定一项干预措施,以帮助失业人员 重度抑郁症(MDD)患者重返工作岗位。失去工作的人有患MDD的风险, 其他精神疾病。由于MDD的核心特征是动机降低,失业者 抑郁症患者可能进入一个“恶性循环”,他们的抑郁导致寻找工作的动力减少, 造成进一步的经济困难,导致更严重的抑郁症,甚至自杀。了前所未有的冲击 COVID-19大流行对抑郁症和失业率的影响,阐明了明确的必要性, 采取干预措施,帮助MDD患者在失业后重返工作岗位。研究人员:STTR Fast 轨道赠款汇集了PeopleResults(一家女性拥有的组织发展公司),多样化 利益相关者(例如,求职者,社区组织)和西北大学的研究人员 (e.g.,心理学家,实施和电子卫生科学家),以开发和测试DRIVEN的功效 (抑郁症重返工作间)。创新:DRIVEN是一种创新的行为干预, 整合认知行为疗法的循证策略(例如,行为激活技术, 改善积极的影响和驱动力)与求职和职业咨询(例如,面试指导,如何 自定义工作应用程序)。DRIVEN将是一项为期6周的干预措施,主要通过智能手机应用程序提供 (e.g.,网络研讨会、定制目标、游戏化功能)。然而,由于电子保健干预措施往往 由于受到高流失率的困扰,DRIVEN将包括多个旨在提高参与度的组件, 通过增加社会支持和问责制(例如,每两周一次的就业指导现场会议,电子邮件登记, 游戏化练习、匿名社交媒体支持平台)。我们的全面商业化计划还 确保DRIVEN能够接触到有需要的求职者,因为它主要侧重于向寻找 再就业服务,即,雇主为最近被解雇的雇员提供的资源, 公司在大规模裁员后面临的声誉损失。方法:第一阶段将使用以用户为中心的 设计方法(例如,由求职者、潜在客户、 人力资源)来设计、开发和测试DRIVEN的原型。第二阶段将测试 DRIVEN在125名求职者随机对照试验中的有效性,通过比较DRIVEN与对照 由自我引导的求职条件。第二阶段还将利用自回归模型, 纵向数据以测试变化的媒介(例如,抑郁症的改善是否会导致更多的工作, 影响:DRIVEN将满足COVID-19带来的高社会需求 大流行-帮助许多患有MDD的失业美国人找到有意义和持久的职业。而 COVID-19将(希望)在这个为期3年的项目结束时成为过去,将继续需要 采取干预措施,帮助抑郁症求职者灵活、成功地找到工作。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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James William Griffith其他文献

James William Griffith的其他文献

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{{ truncateString('James William Griffith', 18)}}的其他基金

REDUCING DISPARITIES IN URINARY CONTROL SYMPTOMS FOR MINORITY WOMEN
减少少数族裔女性排尿控制症状的差异
  • 批准号:
    10908915
  • 财政年份:
    2023
  • 资助金额:
    $ 66.46万
  • 项目类别:
ConProject-001
ConProject-001
  • 批准号:
    10707546
  • 财政年份:
    2022
  • 资助金额:
    $ 66.46万
  • 项目类别:
Developing an app-based behavioral intervention to help depressed individuals return to work
开发基于应用程序的行为干预措施,帮助抑郁症患者重返工作岗位
  • 批准号:
    10707521
  • 财政年份:
    2022
  • 资助金额:
    $ 66.46万
  • 项目类别:
REDUCING DISPARITIES IN URINARY CONTROL SYMPTOMS FOR MINORITY WOMEN
减少少数族裔女性排尿控制症状的差异
  • 批准号:
    10280195
  • 财政年份:
    2021
  • 资助金额:
    $ 66.46万
  • 项目类别:
REDUCING DISPARITIES IN URINARY CONTROL SYMPTOMS FOR MINORITY WOMEN
减少少数族裔女性排尿控制症状的差异
  • 批准号:
    10666870
  • 财政年份:
    2021
  • 资助金额:
    $ 66.46万
  • 项目类别:
Developing an app-based behavioral intervention to help depressed individuals return to work
开发基于应用程序的行为干预措施,帮助抑郁症患者重返工作岗位
  • 批准号:
    10321475
  • 财政年份:
    2021
  • 资助金额:
    $ 66.46万
  • 项目类别:
REDUCING DISPARITIES IN URINARY CONTROL SYMPTOMS FOR MINORITY WOMEN
减少少数族裔女性排尿控制症状的差异
  • 批准号:
    10733486
  • 财政年份:
    2021
  • 资助金额:
    $ 66.46万
  • 项目类别:
NORTHWESTERN UNIVERSITY PLUS CLINICAL SITE
西北大学加临床站点
  • 批准号:
    10248550
  • 财政年份:
    2020
  • 资助金额:
    $ 66.46万
  • 项目类别:
NORTHWESTERN UNIVERSITY PLUS CLINICAL SITE
西北大学加临床站点
  • 批准号:
    10455019
  • 财政年份:
    2020
  • 资助金额:
    $ 66.46万
  • 项目类别:
NORTHWESTERN UNIVERSITY PLUS CLINICAL SITE
西北大学加临床站点
  • 批准号:
    10663091
  • 财政年份:
    2020
  • 资助金额:
    $ 66.46万
  • 项目类别:

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