HealthyMe/MiSalud Smartphone Application: Identifying Mechanisms to Engage African Americans and Hispanics in Personal Health Libraries

HealthyMe/MiSalud 智能手机应用程序:确定让非裔美国人和西班牙裔人参与个人健康图书馆的机制

基本信息

  • 批准号:
    10179492
  • 负责人:
  • 金额:
    $ 33.6万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-09-18 至 2023-05-31
  • 项目状态:
    已结题

项目摘要

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.
项目摘要 非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: 公共源/通道与它们的白色对应物相比。虽然这些信息可以帮助防止 心脏病和糖尿病等高发病率疾病,对某些来源(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。 美国人和西班牙人的积极健康信息寻求。因为智能手机是一个无处不在的 消费者设备之间的所有种族和民族,该项目的目标是完善和测试如何 HealthyMe/MiSalud,英语/西班牙语智能手机应用程序(应用程序)可以支持个人健康 图书馆在可用但未充分利用的健康信息和需要这些信息的人之间架起了差距。 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 激励讲英语的非洲裔美国人和双语/讲西班牙语的西班牙裔美国人组装和使用 注重预防的个人健康图书馆。使用基于healthfinder.gov的原型应用程序,该团队将 使用参与式设计方法,通过额外的信息源扩展和完善原型, 功能,以及不断个性化信息的算法。该应用程序将允许用户组装 数字个人健康图书馆,以满足他们的健康信息偏好和需求。这个项目 三个具体目标,以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 个性化的预防保健图书馆。目标1:了解以预防为重点的 目标2:完善原型应用,使其 可通过预期用户进行测试,并与已发布的应用程序要求保持一致。目标3:开发和评估 应用程序的推理引擎(个性化推荐算法)的有效性,使用用户 交互.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直接、持续地接触, 设计、实施和评估拟议的应用程序。该项目创造了显著的公共卫生效益 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人口参与更多的信息, 可采取行动的预防信息,否则他们不太可能找到和使用。经过最后的改进, 应用程序将可在网上商店免费下载。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Benefits of mHealth Co-design for African American and Hispanic Adults: Multi-Method Participatory Research for a Health Information App.
  • DOI:
    10.2196/26764
  • 发表时间:
    2022-03-09
  • 期刊:
  • 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:
  • 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
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