Optimizing Individualized and Adaptive mHealth Interventions via Control Systems Engineering Methods
通过控制系统工程方法优化个性化和适应性移动医疗干预措施
基本信息
- 批准号:10599617
- 负责人:
- 金额:$ 2.83万
- 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:2020-07-14 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:AwardBeliefCommunitiesComplexDevelopmentEngineeringEnglish LanguageEnrollmentEnvironmental Risk FactorExerciseFacultyFamilyFutureGoalsHealth StatusHispanicHispanic PopulationsIncentivesIndividualInterventionK-Series Research Career ProgramsKnowledgeLanguageLatinoLatino PopulationLocationMethodsMobile Health ApplicationModelingParentsParticipantPathway interactionsPopulationProtocols documentationPsychosocial FactorReportingResearchSamplingSelf EfficacySpace ModelsStressSystemTarget PopulationsTimeTrainingTranslatingUnited States National Institutes of HealthWeatherWorkbasebehavior changecareercontextual factorsdesigndigitalethnic differenceexpectationgender differencehealth disparityhealth equityhealth inequalitieshuman centered designliteracymHealthmembernext generationparent grantracial and ethnicrecruitunderserved community
项目摘要
Project Summary/Abstract. Although previous research has identified the importance of a human-centered
design approach to the development of digital behavior change interventions (DBCIs) which considers the
digital literacy and health status of the target population, current commercially available mHealth applications
do not meet the language, prerequisite knowledge, incentive, and unique cultural needs of Hispanic/Latinos3-7.
Furthermore, simply taking the protocol of English language, higher digital literacy DBCIs, and translating the
material to match the user’s preferred language has not been found to positively influence DBCI app usage or
engagment7. The parent R01 is being conducted in Greater San Diego, where the population is estimated to
be 34% Hispanic/Latino, and targets enrollment to recruit a representative sample of this region16. Therefore,
the parent grant provides an excellent opportunity to study the implementation of, and engagement with, a PA
focused DBCI among a diverse sample population including a significant group of Hispanic/Latino participants.
This study will use a multimethod approach (qualitative and quantitative) to provide an in-depth understanding
of the unique factors related to DBCI engagement among Hispanic/Latinos. These results will directly inform
the design and optimization of the next generation of culturally relevant and engaging DBCIs based on the
control optimization trial (COT) approach to developing personalized and perpetually adapting interventions.
This diversity supplement will support Mr. De La Torre in developing a culturally adapted version of the
YourMove intervention, specific for Hispanic/Latino families. This target produces multiple synergistic benefits
including: 1) for Mr. De La Torre, the proposed work would be excellent for enabling him to apply for a possible
K-award from the NIH, to support his transition into becoming a faculty member committed to developing
DBCIs that specifically serve Hispanic/Latino populations in his career and to advance health equity, 2) for
Hispanic/Latino communities, the diversity supplement will enable the rigorous cultural tailoring, through the
supplements aims, and 3) for the parent R01, this diversity supplement will enable the methods and
approaches to be used and refined, with a specific focus on reducing health inequities and disparities; thus, the
diversity supplement provides a mechanism for the parent R01 to contribute more meaningfully to advancing
health equity, by providing a concrete, actionable pathway for developing a translated and culturally
appropriate extension of the YourMove intervention. The activities proposed in this supplement remain within
the original scope of the parent award and will increase the impact of the knowledge gained from the parent
study, particularly for Hispanic/Latino study participants.
项目摘要/摘要。尽管以前的研究已经确定了以人为中心的重要性
数字行为变化干预措施(DBCI)的设计方法,该方法认为
目标人群的数字素养和健康状况,目前可商购的MHealth应用程序
不要满足西班牙裔/拉丁裔3-7的语言,先决条件,激励和独特的文化需求。
此外,仅采用英语的协议,更高的数字素养DBCI并翻译
尚未发现匹配用户首选语言的材料会积极影响DBCI应用程序的使用或
参与7。父母R01正在大圣地亚哥进行,据估计人口为
是34%的西班牙裔/拉丁裔,目标是招募该地区的代表样本16。所以,
父母赠款提供了研究PA的实施和参与的绝佳机会
以DBCI为重点是潜水员样本人群,其中包括一大批西班牙裔/拉丁裔参与者。
这项研究将使用多方法方法(定性和定量)来提供深入的理解
与西班牙裔/拉丁裔DBCI参与有关的独特因素。这些结果将直接告知
基于
控制优化试验(COT)方法,用于开发个性化和永久适应干预措施。
这种多样性补充剂将支持德拉托雷先生开发一种文化适应的版本
YourMove干预措施,针对西班牙裔/拉丁裔家庭。该目标产生多种协同利益
包括:1)对于德拉托雷先生,拟议的工作对于使他能够申请可能的工作非常好
来自NIH的K-award,以支持他过渡到致力于发展的教职员工
在职业生涯中专门为西班牙裔/拉丁裔人口服务并促进健康公平的DBCI,2)
西班牙裔/拉丁裔社区,多样性补充剂将使严格的文化剪裁能够通过
补品的目的,3)对于父母R01,这种多样性补充将使方法和方法能够实现。
要使用和完善的方法,特别着眼于减少健康不平等和差异;因此,
多样性补充剂为父母R01提供了一种机制,以更有意义地促进前进
卫生公平,通过提供一种具体,可操作的途径来开发翻译和文化的途径
适当的YourMove干预措施。此补充中提出的活动仍在
父母奖励的原始范围,并将增加父母所获得的知识的影响
研究,特别是对于西班牙裔/拉丁裔研究参与者。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Eric Hekler其他文献
Eric Hekler的其他文献
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{{ truncateString('Eric Hekler', 18)}}的其他基金
Control Systems Engineering to Address the Problem of Weight Loss Maintenance: A System Identification Experiment to Model Behavioral & Psychosocial Factors Measured by Ecological Momentary Assessment
解决减肥维持问题的控制系统工程:行为建模的系统识别实验
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- 资助金额:
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针对行为和社会科学研究的高级数据分析培训
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10402911 - 财政年份:2020
- 资助金额:
$ 2.83万 - 项目类别:
Optimizing Individualized and Adaptive mHealth Interventions via Control Systems Engineering Methods
通过控制系统工程方法优化个性化和适应性移动医疗干预措施
- 批准号:
10668422 - 财政年份:2020
- 资助金额:
$ 2.83万 - 项目类别:
Optimizing Individualized and Adaptive mHealth Interventions via Control Systems Engineering Methods
通过控制系统工程方法优化个性化和适应性移动医疗干预措施
- 批准号:
10759023 - 财政年份:2020
- 资助金额:
$ 2.83万 - 项目类别:
Advanced data analytics training for behavioral and social sciences research
针对行为和社会科学研究的高级数据分析培训
- 批准号:
10160959 - 财政年份:2020
- 资助金额:
$ 2.83万 - 项目类别:
Advanced data analytics training for behavioral and social sciences research
针对行为和社会科学研究的高级数据分析培训
- 批准号:
10649605 - 财政年份:2020
- 资助金额:
$ 2.83万 - 项目类别:
Optimizing Individualized and Adaptive mHealth Interventions via Control Systems Engineering Methods
通过控制系统工程方法优化个性化和适应性移动医疗干预措施
- 批准号:
10456317 - 财政年份:2020
- 资助金额:
$ 2.83万 - 项目类别:
Optimizing Individualized and Adaptive mHealth Interventions via Control Systems Engineering Methods
通过控制系统工程方法优化个性化和适应性移动医疗干预措施
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10826070 - 财政年份:2020
- 资助金额:
$ 2.83万 - 项目类别:
Optimizing Individualized and Adaptive mHealth Interventions via Control Systems Engineering Methods
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- 批准号:
10216204 - 财政年份:2020
- 资助金额:
$ 2.83万 - 项目类别:
Optimizing Individualized and Adaptive mHealth Interventions via Control Systems Engineering Methods
通过控制系统工程方法优化个性化和适应性移动医疗干预措施
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