HealthyMe/MiSalud Smartphone Application: Identifying Mechanisms to Engage African Americans and Hispanics in Personal Health Libraries
HealthyMe/MiSalud Smartphone Application: Identifying Mechanisms to Engage African Americans and Hispanics in Personal Health Libraries
批准号:
10179492
负责人:
CYNTHIA E BAUR
金额:
$33.6万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-18 至 2023-05-31
关键词:
AddressAdultAffectAfrican AmericanAlgorithmsAndroidBehavior assessmentCellular PhoneCommunitiesComputer softwareDataData ScienceData SourcesDecision MakingDevelopmentDevicesDiabetes MellitusDiseaseEthnic OriginFeedbackGoalsHealthHealth BenefitHealth ServicesHeart DiseasesHigh PrevalenceHispanicsInformaticsKnowledgeLanguageLearningLibrariesMechanicsMedicalMethodsMorbidity - disease rateParticipantPatient Self-ReportPlayPreventionPreventivePrimary PreventionProcessPublic HealthPublishingRaceRecommendationRecording of previous eventsReportingRiskSamplingSecondary PreventionSeedsSelf EfficacySourceSystemTechniquesTechnologyTestingTrustWorkbasebilingualismcommunity based participatory researchdesigndigitaleffectiveness evaluationexperiencehealth communicationhealth equityhealth literacyinformation processinginnovationinterestmembermultidisciplinarypreferencepreventprototyperecruitsmartphone Applicationsoftware developmenttheories
中文摘要
项目摘要
非洲裔美国人和西班牙裔人口不太可能通过以下途径获得健康和医疗信息
与白人同行相比,常见的信号源/通道。尽管这些信息可以帮助防止
心脏病和糖尿病等高发疾病、信任某些来源等因素(例如
医生)、健康素养水平或文化和语言偏好是非洲人的已知障碍
美国人和拉美裔美国人积极寻求健康信息。因为智能手机无处不在
在所有种族和民族中使用消费设备,该项目的目标是改进和测试
HealthMe/MiSalud,一款英语/西班牙语智能手机应用程序(APP),可以支持个人健康
在现有但未充分利用的健康信息和需要这些信息的人之间架起一座桥梁的图书馆。
该项目旨在确定智能手机应用程序、数据科学方法和健康素养技术如何
激励说英语的非洲裔美国人和说双语/西班牙语的西班牙裔美国人聚集和使用
以预防为重点的个人健康图书馆。使用一个基于Health finder.gov的原型应用程序,该团队将
使用参与式设计方法,通过额外的信息来源扩展和提炼原型,
函数,以及持续个性化信息的算法。这款应用程序将允许用户组装
匹配他们的健康信息偏好和需求的数字个人健康图书馆。这个项目有
实现完善和测试英语和西班牙语智能手机应用程序的目标的三个具体目标
为个性化的预防健康图书馆。目标1:了解以预防为重点的目标用户
并让他们参与参与式设计,以完善原型应用程序。目标2:优化原型应用程序,使其
可针对目标用户进行测试,并与发布的应用程序要求保持一致。目标3:制定和评估
应用程序的推理引擎(个性化推荐算法)的有效性,使用用户
互动。基于社区的参与式研究的参与式设计方法和选择原则
(CBPR)将在开发过程中与社区成员进行直接、持续的接触,
设计、实施和评估建议的应用程序。这一项目为公众健康带来了巨大的好处
因为该应用程序将提供有关如何使用技术和数据科学技术的新知识
让非洲裔美国人和西班牙裔美国人参与到更多的信息中,寻求可靠、
否则,他们不太可能找到和使用可采取行动的预防信息。经过最终的改进,
应用程序将在网上商店免费下载。
英文摘要
Project Abstract
African American and Hispanic populations are less likely to access health and medical information through
common sources/channels compared to their White counterparts. Although this information can help prevent
high-prevalence diseases such as heart disease and diabetes, factors such as trust in certain sources (e.g.
doctors), health literacy levels, or cultural and language preferences are known barriers to African
Americans’ and Hispanics’ active health information seeking. Because smartphones are a ubiquitous
consumer device among all races and ethnicities, the project goal is to refine and test how
HealthyMe/MiSalud, an English/Spanish smartphone application (app) can support personal health
libraries that bridge the gap between available but under-used health information and the people who need it.
The project aims to identify how smartphone apps, data science methods, and health literacy techniques can
motivate English-speaking African Americans and bilingual/Spanish-speaking Hispanics to assemble and use
prevention-focused personal health libraries. Using a prototype app based on healthfinder.gov, the team will
use participatory design methods to expand and refine the prototype with additional information sources,
functions, and an algorithm that continually personalizes information. The app will allow users to assemble
digital personal health libraries that match their health information preferences and needs. This project has
three specific aims to achieve the goal of refining and testing an English and Spanish smartphone app
for personalized preventive health libraries. Aim 1: Understand the intended users of a prevention-focused
app and involve them in participatory design to refine the prototype app. Aim 2: Refine the prototype app so it
is testable with intended users and consistent with published app requirements. Aim 3: Develop and assess
the effectiveness of the application’s inference engine (personalized recommendation algorithms), using user
interactions. A participatory design approach and select principles of community-based participatory research
(CBPR) will provide direct, continuous engagement with community members during the process to develop,
design, implement, and evaluate the proposed app. This project creates significant public health benefit
because the app will provide new knowledge about how to use technology and data science techniques
to engage African American and Hispanic populations in increased information seeking for reliable,
actionable prevention information they would be unlikely to find and use otherwise. After final refinements, the
app will be available in online stores for free downloads.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.2196/26764
发表时间:
2022-03-09
期刊:
JMIR formative research
影响因子:
2.2
作者:
[Jackson DN, Sehgal N, Baur C]
通讯作者:
Baur C
The Benefits of Crowdsourcing to Seed and Align an Algorithm in an mHealth Intervention for African American and Hispanic Adults: Survey Study.
众包在非裔美国人和西班牙裔成年人的MHealth干预措施中播种和对齐算法的好处:调查研究。
DOI:
10.2196/30216
发表时间:
2022-06-21
期刊:
JOURNAL OF MEDICAL INTERNET RESEARCH
影响因子:
7.4
作者:
[Sehgal, Neil Jay, Huang, Shuo, Johnson, Neil Mason, Dickerson, John, Jackson, Devlon, Baur, Cynthia]
通讯作者:
Baur, Cynthia
海外基金