Adaptation of a Digital Health Intervention for Chronic Condition Related fatigue to the Latino population

针对拉丁裔人群慢性病相关疲劳的数字健康干预措施的适应

• 批准号: 10697435
• 负责人: Luis Fernandez Luque
• 金额: $ 28.62万
• 依托单位: ADHERA HEALTH, INC.
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-07 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10697435
• 关键词: Address; Adoption; Affect; Alternative Health; Anxiety; Arthritis; Artificial Intelligence; Caregivers; Child; Chronic; Clinical; Cognitive; Cognitive Therapy; Communities; Diabetes Mellitus; Diagnostic; Dimensions; Disease; Distress; Education; Educational workshop; Elements; Emotional; Ensure; Equity; Ethnic Population; Fatigue; Feedback; Foundations; Future; Goals; Health; Health Care Costs; Health Disparities Research; Health Expenditures; Health Personnel; Healthcare; Hospitals; Inequality; Insulin-Dependent Diabetes Mellitus; Intervention; Latino; Latino Population; Long COVID; Malignant Neoplasms; Marketing; Measures; Mental Health; Methods; Minority Groups; Modeling; Multiple Sclerosis; National Institute on Minority Health and Health Disparities; Nurses; Pain; Parents; Participant; Patients; Persons; Phase; Physicians; Population; Population Heterogeneity; Quality of life; Quantitative Evaluations; Research; Research Methodology; Rheumatoid Arthritis; Risk Reduction; Self Management; Service delivery model; Site; Somatotropin; Stress; Symptoms; System; Techniques; Underrepresented Minority; Underserved Population; United States; Validation; Work; addiction; anticancer treatment; aspirate; bilingualism; biopsychosocial; chronic pain; commercialization; coping; cost; design; digital; digital health; disabling symptom; empowerment; evidence base; health disparity; health disparity populations; health equity; health inequalities; health literacy; implementation design; implementation strategy; insight; minority health; minority health disparity; mobile application; physical conditioning; preservation; programs; psychosocial; racial population; risk minimization; social factors; software as a service; tool; treatment adherence; uptake; usability

Chronic Condition-related Fatigue (CCrF) is a distressing sense of physical, emotional and/or cognitive tiredness that negatively impacts the quality of life (reduced workability, poor anti-cancer treatment adherence) and healthcare expenditure (e.g., over $9,322 annually) of those affected. CCrF is a persistent problem across chronic conditions such as cancer, multiple sclerosis, rheumatoid arthritis, and diabetes, which also affects their caregivers. An estimated 5 million people in the United Stated (US) are living with fatigue associated with chronic conditions. Moreover, Latinos are disproportionally affected by fatigue or its contributing factors (e.g., pain and stress) in many of those conditions. Studies suggest the potential of trans-diagnostics interventions (energy preservation, psycho- social education, cognitive behavioral therapy, etc.) for coping with CCrF. However, despite the substantial burden of fatigue, there are no digital health solutions in the market that address the fatigue support needs by applying such trans-diagnostics interventions. Furthermore, often studies of digital health solutions underrepresent minorities, potentially producing health disparities, such as lower adoption by US Latinos. The Adhera® Fatigue Digital Program (AFDP) builds on the principles of transdiagnostics interventions for providing fatigue self-management empowerment to people across different conditions with advanced artificial intelligence-based personalization techniques. The AFDP is part of the Adhera Health’s evidence-based Precision Digital CompanionTM platform, which is already being used in dozens of hospitals for various conditions. The objectives of this Phase I project are: Aim 1) Assess the acceptability of the Adhera® Fatigue Digital Program by the US Latino population. Milestone: the AFDP accepted by Latino populations, measured with uMARS (average of 4 out of 5 stars) and SUS (average usability score of more than 75). Aim 2) Design the implementation strategy for AFDP in the urban Latino community. Milestone: Completed implementation strategy and accepted by 3 healthcare providers for initial pilots. The key aspiration for Phase I, combined with further clinical validation in Phase II, is to obtain scientific validation that will set the foundation for the future commercialization of Adhera® Fatigue in a Software-as-a-Service model that will target the healthcare providers and payors that cover the underserved population of US Latinos living with CCrF, which represents a substantial and growing part of healthcare costs in the US.

慢性条件相关疲劳(CCRF)是一种身体、情绪和/或痛苦的感觉 对生活质量产生负面影响的认知疲劳(工作能力降低、抗癌能力差 受影响者的医疗支出(例如，每年超过9,322美元)。 CCRF是一种慢性疾病，如癌症、多发性硬化症、 类风湿性关节炎和糖尿病，这也会影响他们的照顾者。据估计有500万人 在美国，人们生活在与慢性疾病相关的疲劳中。 此外，拉美裔人不成比例地受到疲劳或其促成因素(例如疼痛)的影响。 和压力)在许多这样的情况下。 研究表明，跨诊断干预(节能、心理干预)的潜力 社会教育、认知行为疗法等)用于应对CCRF。然而，尽管 疲惫的沉重负担，市场上没有数字健康解决方案来解决 通过应用这种跨诊断干预来满足疲劳支持需求。此外，通常 数字健康解决方案的研究没有充分代表少数群体，可能会产生健康 差异，例如美国拉丁裔的收养率较低。 Adhera®疲劳数字计划(AFDP)建立在跨诊断原理的基础上 为不同地区的人提供疲劳自我管理赋权的干预措施 具备先进的基于人工智能的个性化技术。AFDP是 Adhera Health基于证据的Precision Digital Companion TM平台的一部分，该平台是 已经在数十家医院用于各种条件。这一阶段的目标是 项目包括： 目标1)评估美国拉丁裔对Adhera®疲劳数字计划的接受程度 人口。里程碑：以Umars衡量，拉美裔人口接受AFDP (平均为4星)和SUS(平均可用性得分超过75)。 目的2)设计在城市拉丁裔社区实施AFDP的策略。里程碑： 完成了实施战略，并被3家医疗保健提供商接受为初步试点。 第一阶段的主要目标，结合第二阶段的进一步临床验证，是为了获得 科学验证，将为Adhera®疲劳的未来商业化奠定基础 在软件即服务模式中，将以医疗保健提供者和付款人为目标， 与CCRF一起生活的美国拉美裔人口服务不足，这代表着一个巨大的和 在美国，医疗成本所占的比重越来越大。