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.

慢性病相关疲劳 (CCrF) 是一种身体、情绪和/或 认知疲劳会对生活质量产生负面影响（工作能力下降、抗癌能力差） 治疗依从性）和受影响者的医疗支出（例如每年超过 9,322 美元）。 CCrF 是癌症、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。估计有500万 在美国，人们生活在与慢性疾病相关的疲劳之中。 此外，拉丁美洲人不成比例地受到疲劳或其影响因素（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措施（能量保存、心理治疗）的潜力 社会教育、认知行为治疗等）来应对 CCrF。然而，尽管 巨大的疲劳负担，市场上没有数字健康解决方案可以解决这一问题 通过应用此类跨诊断干预措施来满足疲劳支持需求。此外，经常 数字健康解决方案的研究未能充分代表少数群体，可能会带来健康 差异，例如美国拉丁裔的采用率较低。 Adhera® 疲劳数字程序 (AFDP) 基于跨诊断原理 为不同背景的人们提供疲劳自我管理能力的干预措施 具有先进的基于人工智能的个性化技术的条件。 AFDP 是 是 Adhera Health 循证 Precision Digital CompanionTM 平台的一部分，该平台 已经在数十家医院针对各种情况使用。第一阶段的目标 项目有： 目标 1) 评估美国拉丁裔人士对 Adhera® 疲劳数字计划的接受程度 人口。里程碑：通过 uMARS 衡量的 AFDP 被拉丁裔人群接受 （平均 4 星，满分 5 星）和 SUS（平均可用性分数超过 75 分）。 目标 2) 设计 AFDP 在城市拉丁裔社区的实施策略。里程碑： 完成实施策略并被 3 家医疗保健提供者接受进行初步试点。 第一阶段的关键愿望，结合第二阶段的进一步临床验证，是获得 科学验证将为 Adhera® Fatigue 未来的商业化奠定基础 在软件即服务模型中，该模型将针对医疗保健提供者和支付者，涵盖 患有 CCrF 的美国拉丁裔人口服务水平低下，这代表了相当大的一部分 在美国医疗保健费用中所占的比例越来越大。