Toward optimizing digital mental health interventions: A clinical trial aimed at understanding what drives patient engagement.

优化数字心理健康干预措施:一项旨在了解推动患者参与的因素的临床试验。

基本信息

  • 批准号:
    10595517
  • 负责人:
  • 金额:
    $ 18.13万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-04-09 至 2025-07-20
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY Depression and anxiety are highly comorbid and costly diseases. Evidence-based psychotherapy is the first-line treatment but is underutilized and not scalable. Digital mental health interventions (DMHIs), delivered via the internet and/or mobile apps, have evolved as efficacious and potentially scalable treatments. To date, however, effectiveness in routine care is limited by insufficient patient engagement. In order to achieve the transformative potential of DMHIs, we must identify strategies to keep patients engaged without adding human support in a form that would limit scalability. Automated motivational push messaging (AMM) and light-touch human coach support (CS) offer two such strategies. The proposed research tests these strategies, while drawing preliminary conclusions about a hypothesized model of DMHI engagement based on the technology adoption and treatment adherence literature. The model posits that two systems-level constructs (social influence and facilitating conditions) and three patient-level constructs (attitude, self-efficacy, habit strength) drive DMHI engagement. In Study 1 (N=20), I will employ user-centered design to develop and refine a set AMMs targeting the three hypothesized patient-level engagement-driving constructs (Aim 1). In Study 2, I will recruit N=76 primary care patients with depression and/or anxiety via provider referral to an 8-week 2x2 factorial clinical trial whereby participants will all receive access to a DMHI with known efficacy and be randomized to an engagement strategy condition (i.e., a previously-validated CS protocol, newly-developed AMM, both or neither). To further understand how AMMs function, message delivery in the AMM arms will be micro-randomized: each day participants will be randomized to receive a message or not, such that they receive an average of 4.2 messages/week. Micro- randomization allows causal inference about the near-term impact of message delivery (i.e., are AMMs a cue to action) and the relationship between message impact and context (e.g., time of day the message is delivered). Measured outcome data will comprise level of engagement (operationalized as minutes of DMHI use), weekly self-reports on the five engagement-driving constructs, and weekly self-reports of clinical outcomes. I will test im pacts of each strategy on m easured outcom e data (Aim 2) and explore the hypothesized relationships between engagement-driving constructs and DMHI engagement (Aim 3). Clinical outcomes will be assessed, however, consistent with the experimental therapeutics model, this research leverages a DMHI with known efficacy, allowing the focus to be an upstream target (patient engagement) rather than the clinical outcomes themselves. The overarching goal is to influence the target so as to ultimately enhance clinical effectiveness. This project will build my expertise in clinical trial design and build my proficiency in user-centered design (i.e., rapid, prototype testing via field studies) and data science (i.e., analysis of intensive, correlated longitudinal data) methods commonly applied in DMHI optimization research. Findings will lay a foundation for R01s aimed at optimizing DMHIs for engagement, and ultimately effectiveness, when integrated into routine care.
项目总结

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey.
  • DOI:
    10.2196/41767
  • 发表时间:
    2022-12-30
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Hogan, Timothy P.;Etingen, Bella;Lipschitz, Jessica M.;Shimada, Stephanie L.;McMahon, Nicholas;Bolivar, Derek;Bixler, Felicia R.;Irvin, Dawn;Wacks, Rachel;Cutrona, Sarah;Frisbee, Kathleen L.;Smith, Bridget M.
  • 通讯作者:
    Smith, Bridget M.
Implementing Automated Text Messaging for Patient Self-management in the Veterans Health Administration: Qualitative Study Applying the Nonadoption, Abandonment, Scale-up, Spread, and Sustainability Framework.
  • DOI:
    10.2196/31037
  • 发表时间:
    2021-11-15
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Yakovchenko V;McInnes DK;Petrakis BA;Gillespie C;Lipschitz JM;McCullough MB;Richardson L;Vetter B;Hogan TP
  • 通讯作者:
    Hogan TP
Evaluating Feasibility, Value and Characteristics of an Intergenerational Friendly Telephone Visit Program During the Covid-19 Pandemic.
Provider perspectives on telemental health implementation: Lessons learned during the COVID-19 pandemic and paths forward.
  • DOI:
    10.1037/ser0000625
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    2.3
  • 作者:
    Lipschitz, Jessica M.;Connolly, Samantha L.;Van Boxtel, Rachel;Potter, Julia R.;Nixon, Neil;Bidargaddi, Niranjan
  • 通讯作者:
    Bidargaddi, Niranjan
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Jessica Morrow Lipschitz其他文献

Jessica Morrow Lipschitz的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Jessica Morrow Lipschitz', 18)}}的其他基金

Toward optimizing digital mental health interventions: A clinical trial aimed at understanding what drives patient engagement.
优化数字心理健康干预措施:一项旨在了解推动患者参与的因素的临床试验。
  • 批准号:
    10380604
  • 财政年份:
    2020
  • 资助金额:
    $ 18.13万
  • 项目类别:
Toward optimizing digital mental health interventions: A clinical trial aimed at understanding what drives patient engagement.
优化数字心理健康干预措施:一项旨在了解推动患者参与的因素的临床试验。
  • 批准号:
    9977310
  • 财政年份:
    2020
  • 资助金额:
    $ 18.13万
  • 项目类别:
Expanding the Foundation for Population-Based Anxiety Management Interventions
扩大基于人群的焦虑管理干预措施的基础
  • 批准号:
    8724994
  • 财政年份:
    2013
  • 资助金额:
    $ 18.13万
  • 项目类别:
Expanding the Foundation for Population-Based Anxiety Management Interventions
扩大基于人群的焦虑管理干预措施的基础
  • 批准号:
    8596024
  • 财政年份:
    2013
  • 资助金额:
    $ 18.13万
  • 项目类别:

相似海外基金

Atomic Anxiety in the New Nuclear Age: How Can Arms Control and Disarmament Reduce the Risk of Nuclear War?
新核时代的原子焦虑:军控与裁军如何降低核战争风险?
  • 批准号:
    MR/X034690/1
  • 财政年份:
    2024
  • 资助金额:
    $ 18.13万
  • 项目类别:
    Fellowship
Clinitouch-360: A digital health platform enabling robust end-to-end care of patients in Primary Care with depression and anxiety
Clinitouch-360:数字健康平台,可为初级保健中的抑郁和焦虑患者提供强大的端到端护理
  • 批准号:
    10098274
  • 财政年份:
    2024
  • 资助金额:
    $ 18.13万
  • 项目类别:
    Collaborative R&D
Mental Health and Occupational Functioning in Nurses: An investigation of anxiety sensitivity and factors affecting future use of an mHealth intervention
护士的心理健康和职业功能:焦虑敏感性和影响未来使用移动健康干预措施的因素的调查
  • 批准号:
    10826673
  • 财政年份:
    2024
  • 资助金额:
    $ 18.13万
  • 项目类别:
Visual analysis system to detect and predict the signs of anxiety in healthcare
用于检测和预测医疗保健中焦虑迹象的视觉分析系统
  • 批准号:
    2902083
  • 财政年份:
    2024
  • 资助金额:
    $ 18.13万
  • 项目类别:
    Studentship
Using generative AI combined with immersive technology to treat anxiety disorders
利用生成式人工智能结合沉浸式技术治疗焦虑症
  • 批准号:
    10109165
  • 财政年份:
    2024
  • 资助金额:
    $ 18.13万
  • 项目类别:
    Launchpad
Healthy Young Minds: co-producing a nature-based intervention with rural High School students to promote mental well-being and reduce anxiety
健康的年轻心灵:与农村高中生共同开展基于自然的干预措施,以促进心理健康并减少焦虑
  • 批准号:
    MR/Z503599/1
  • 财政年份:
    2024
  • 资助金额:
    $ 18.13万
  • 项目类别:
    Research Grant
"Flashforward" imagery and anxiety in young adults: Risk mechanisms and intervention development
年轻人的“闪现”意象和焦虑:风险机制和干预措施的发展
  • 批准号:
    MR/Y009460/1
  • 财政年份:
    2024
  • 资助金额:
    $ 18.13万
  • 项目类别:
    Fellowship
How parents manage climate anxiety: coping and hoping for the whole family
父母如何应对气候焦虑:全家人的应对和希望
  • 批准号:
    DP230101928
  • 财政年份:
    2024
  • 资助金额:
    $ 18.13万
  • 项目类别:
    Discovery Projects
An innovative biofeedback enhanced adaptive extended reality (XR) device to reduce perinatal pain and anxiety during and after childbirth
一种创新的生物反馈增强型自适应扩展现实 (XR) 设备,可减少分娩期间和分娩后的围产期疼痛和焦虑
  • 批准号:
    10097862
  • 财政年份:
    2024
  • 资助金额:
    $ 18.13万
  • 项目类别:
    Collaborative R&D
Application name Phase Space - VR hypnotherapy as early intervention for anxiety in students and young people
应用程序名称 Phase Space - VR 催眠疗法作为学生和年轻人焦虑的早期干预
  • 批准号:
    10055011
  • 财政年份:
    2023
  • 资助金额:
    $ 18.13万
  • 项目类别:
    Collaborative R&D
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了