Hats & Ladders for Health: Data-driven Decision-Making for Future Health Citizens and Professionals

帽子

• 批准号: 10696572
• 负责人: Sonia K Gonzalez
• 金额: $ 29.24万
• 依托单位: HATS & LADDERS, INC.
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10696572
• 关键词: Adolescent; Algorithms; Awareness; Benchmarking; Black race; Black, Indigenous, People of Color; Career Choice; Client; Communities; Community Developments; Curiosities; Data; Databases; Decision Making; Development; Ecology; Educational Curriculum; Educational process of instructing; Educational workshop; Effectiveness; Effectiveness of Interventions; Equity; Evaluation; Face; Feedback; Future; Goals; Health; Health Educators; Health Occupations; Health Personnel; Health Professional; Health education; Healthcare; Human; Instruction; Intervention; Interview; Joints; Knowledge; Latino; Learning; Measures; Medicine; Mentors; Metadata; Methods; Outcome; Outcome Measure; Participant; Personal Satisfaction; Persons; Phase; Problem Solving; Progress Reports; Public Health; Race; Randomized, Controlled Trials; Recommendation; Reporting; Research; Respondent; Sampling; Schools; Self Assessment; Self Efficacy; Small Business Innovation Research Grant; Students; Surveys; Testing; Texas; Training; Universities; Vocational Guidance; Work; Youth; adolescent health; aspirate; austin; career; cognitive interview; community organizations; dashboard; design; digital; digital intervention; efficacy testing; experience; health literacy; high school; improved; innovation; inquiry-based learning; interoperability; literacy; ninth grade; novel; operation; peer coaching; pilot test; programs; prototype; recruit; research and development; role model; skills; tenth grade; usability; volunteer

PROJECT SUMMARY Despite a growing demand for health care workers and evidence that a diverse health workforce is vital for public wellbeing, most young people lack awareness of health career options and how to pursue them. Narrow career exposure, insufficient advising, lack of encouragement to pursue STEM subjects, and lack of concordant mentors are significant barriers for Black and Latino/x youth—two groups consistently under-represented across health professions. This project will help these adolescents to overcome barriers and develop positive health identities so they are more confident in their ability to undertake challenging health career pathways and to make informed health decisions. To do so, a joint team from Hats & Ladders, Inc., Mentoring in Medicine, the University of Texas at Austin School of Human Ecology, CareerVillage and Applied Curiosity Research will design, develop, and test Hats & Ladders for Health: Data-driven Decision-Making for Future Health Citizens and Professionals (HLH). This blended digital experience targets 9th- and 10th-grade students and educators in general career and health education programs, and will consist of a digital gamified app, project-based activities, live health career panels, near-peer mentoring sessions, and a robust instructional toolkit with training videos, progress reports, lessons and other educator supports for providing accurate, actionable student feedback. The overall outcomes of HLH’s data-driven, inquiry-based, and inclusive intervention could have broad reaching public health impact, and are to (1) increase students’ confidence in their ability to pursue challenging health career pathways and solve problems along the way; (2) increase their ability to find, understand, and use information to make health-related decisions; and, (3) develop educators’ capacity to provide quality health career guidance and health literacy instruction. Designed to strengthen our organization’s impact on high school youth, our intervention will bring a novel set of interactions––as requested by our existing users––and use them to deepen inquiry-based learning related to health careers and literacy during the critical stage of early high school. In Phase I, the H&L R&D team will collect, analyze and input data from concordant healthcare professionals into a new health career database that we will integrate into the HLH app. To gather the data, we will develop, and test for relevance, an online survey targeting 500 racially and professionally diverse respondents through CareerVillage’s community of 3,000 health professionals (52% BIPOC) and 1,500+ Mentoring in Medicine volunteers. A subset of 25-30 survey respondents will participate in video interviews. Survey data and video snippets will be tagged with metadata and inputted into the database enabling us to recommend authentic and relevant health content to students with shared demographic and career attributes. We will test usability and feasibility of app designs and prototypes with students in small groups or dyads, and both app and dashboard components with educators using in-depth interviews. We will also adapt two student outcome measures, the Assessment of Adolescent Health Literacy and the Career Decision-Making Self Efficacy Scale, using expert reviews and cognitive interviews with students, and then test the measures with a sample of 400 students. All participants will be recruited from NYC Department of Youth and Community Development’s network of 180+ community-based organizations that work with NYC high schools. In Phase II, we will iterate and develop a near final product to pilot test in five NYC classrooms to further explore the usability, feasibility, and support from educators. Following the pilot test, in year two of Phase II we will implement a mixed-methods randomized controlled trial (RCT) to test the efficacy of the completed HLH innovation to impact students’ career efficacy and health literacy. The RCT, led by the External Evaluation team at Applied Curiosity Research, will help us determine the overall effectiveness of HLH to increase students’ health career efficacy and health literacy.

项目总结 尽管对卫生保健人员的需求不断增长，而且有证据表明，多样化的卫生工作人员对 在公共福利方面，大多数年轻人缺乏对健康事业选择以及如何追求这些选择的认识。狭窄 职业暴露，建议不足，缺乏对攻读STEM科目的鼓励，缺乏协调性 导师是黑人和拉丁裔/x青年的重大障碍--这两个群体的代表性一直偏低 在所有卫生职业中。这个项目将帮助这些青少年克服障碍，发展积极向上。 健康认同，因此他们对自己有能力承担具有挑战性的健康职业道路和 做出明智的健康决定。为此，Hats&Ladders，Inc.的一个联合团队，医学导师， 得克萨斯大学奥斯汀分校人类生态学院、凯雷尔村和应用好奇心研究将 设计、开发和测试面向健康的帽子和梯子：面向未来健康公民的数据驱动决策 和专业人员(HLH)。这种混合的数字体验面向9年级和10年级的学生和教育工作者 一般职业和健康教育计划，并将包括一个数字游戏化的应用程序，基于项目 活动、实时健康职业小组、近距离同行指导会议，以及带培训的强大教学工具包 视频、进度报告、课程和其他教育者支持，以提供准确、可操作的学生 反馈。卫生与公众服务部以数据为导向、以调查为基础的包容性干预的总体结果可能会 广泛的公共卫生影响，并将(1)增强学生对自己追求的能力的信心 挑战健康职业道路，解决沿途问题；(2)提高他们发现问题的能力， 理解并利用信息作出与健康有关的决定；以及，(3)发展教育工作者的能力，以 提供高质量的健康职业指导和健康素养指导。旨在加强我们组织的 对高中生的影响，我们的干预将带来一系列新的互动--应我们的要求 现有用户--并利用他们深化与健康事业和扫盲相关的探究式学习 高中早期的关键阶段。 在第一阶段，H&L研发团队将从协和的医疗专业人员那里收集、分析和输入数据 到一个新的健康职业数据库中，我们将把它集成到HLH应用程序中。为了收集数据，我们将开发， 和相关性测试，这是一项在线调查，目标是500名不同种族和专业的受访者，通过 凯勒村有3000名卫生专业人员(52%的BIPOC)和1500多名医学导师组成的社区 志愿者。25-30名受访者将参加视频采访。调查数据和视频 片段将被标记为元数据，并输入到数据库中，使我们能够推荐真实和 向具有相同人口统计和职业属性的学生提供相关的健康内容。我们将测试可用性和 应用程序设计和原型的可行性，让学生以小组或二人组以及应用程序和仪表板的形式进行 通过深入访谈与教育工作者进行交流。我们还将调整两项学生成绩衡量标准，即 专家版青少年健康素养与职业决策自我效能感量表的测评 对学生进行复习和认知访谈，并以400名学生为样本进行检验。全 参与者将从纽约市青年和社区发展部180+的网络中招募 与纽约市高中合作的社区组织。在第二阶段，我们将迭代并开发一个 接近最终产品，将在纽约市的五个教室进行试点测试，以进一步探索可用性、可行性和支持 来自教育工作者。在试点测试之后，在第二阶段的第二年，我们将实施混合方法 随机对照试验(RCT)，以测试完成的HLH创新对学生的影响 职业效能和健康素养。RCT，由应用好奇号外部评估小组领导 研究，将帮助我们确定HLH对提高学生健康事业效能的整体效果 和健康素养。