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.

慢性条件相关性疲劳（CCrF）是一种身体、情绪和/或心理上的痛苦感。 对生活质量产生负面影响的认知疲劳（工作能力降低，抗癌效果差 治疗依从性）和保健支出（例如，每年超过9，322美元）。 CCrF是慢性疾病如癌症、多发性硬化症、 风湿性关节炎和糖尿病，这也影响到他们的照顾者。估计有500万 在美国（US），人们生活在与慢性病相关的疲劳中。 此外，拉丁美洲人受到疲劳或其促成因素（例如，疼痛 和压力）在许多这些条件下。 研究表明，跨诊断干预（能量保存，心理， 社会教育、认知行为疗法等）来应对CCRF但尽管 由于疲劳的严重负担，市场上没有解决这一问题的数字健康解决方案。 疲劳支持需要通过应用这种transdiagnosis干预。此外，往往 数字健康解决方案的研究代表少数群体，可能产生健康 差异，例如美国拉丁美洲人的采用率较低。 Adhera®疲劳数字计划（AFDP）建立在transdiagnostics的原则之上 干预措施，为不同地区的人们提供疲劳自我管理能力 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 CompanionTM平台的一部分， 已经在几十家医院用于各种情况。第一阶段的目标 项目有： 目标1）评估美国拉丁裔对Adhera®疲劳数字程序的可接受性 人口里程碑：拉丁裔人口接受的AFDP，用uMARS测量 （平均4星，满分5星）和SUS（平均可用性得分超过75分）。 目标2）设计AFDP在城市拉丁裔社区的实施战略。里程碑： 完成了实施战略，3家医疗保健提供者接受了初步试点。 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的未来商业化奠定基础 在软件即服务模式中，该模式将针对医疗保健提供者和支付者， 患有CCRF的美国拉丁裔人口服务不足，这代表了一个巨大的， 在美国，医疗保健成本的增长。