Dance4Healing: a feasibility study to reduce health disparity and increase engagement of an intergenerational telehealth program for minority diabetes patients and their care partners.

Dance4Healing：一项可行性研究，旨在减少少数族裔糖尿病患者及其护理伙伴的健康差距并提高代际远程医疗计划的参与度。

• 批准号: 10604415
• 负责人: Amy chunmei Li
• 金额: $ 25.96万
• 依托单位: DANCE4HEALING, INC.
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-26 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10604415
• 关键词: Accounting; Adopted; Affect; Aging; Algorithms; American; American Heart Association; Anxiety; Arts; Asian population; Awareness; Behavior; Behavioral; Behavioral Sciences; Biological; Biometry; Biosensor; Cancer Patient; Cardiovascular Diseases; Cardiovascular system; Caring; Centers for Disease Control and Prevention (U.S.); Cessation of life; Collection; Communities; Computer Vision Systems; Dance Therapy; Dancing; Data; Data Collection; Data Reporting; Diabetes Mellitus; Elderly; Environment; Ethnic Origin; Exercise; Feasibility Studies; Feedback; Felis catus; Habits; Health; Health Disparities Research; Health behavior; Healthcare Systems; Home; Hour; Individual; Institutes; Intervention; Interview; Language; Life Style; Malignant Neoplasms; Measures; Mental Depression; Methods; Minority; Movement; Multicenter Trials; Music; National Institute on Minority Health and Health Disparities; Non-Insulin-Dependent Diabetes Mellitus; Obesity; Outcome; Pain; Participant; Patient Self-Report; Patients; Persons; Phase; Protocols documentation; Race; Recommendation; Recording of previous events; Reduce health disparities; Reporting; Research; Safety; Science; Scientist; Small Business Innovation Research Grant; Supportive care; System; Technology; Testing; Translations; Update; Vision; Voice; Weight; Work; artificial intelligence algorithm; base; built environment; cardiovascular health; commercialization; cost; data integration; design; diabetic; exercise program; experience; feasibility testing; fitness; health disparity; improved; innovation; insight; intergenerational; mindfulness; minority communities; minority health; minority health disparity; mortality; multidisciplinary; novel; patient mobility; phase 1 study; preference; professor; programs; promoter; recruit; remote patient monitoring; social; social culture; success; telehealth; tool; usability

PROJECT SUMMARY/ABSTRACT 34.2 M Americans with Diabetes Mellitus (DM) cost $327 B in 2018 1-2 . 68% of them will die from cardiovascular disease 3 . CDC reported that DM disproportionately affects minorities. Partnering with Dr. Palaniappan, who has pioneered research on health disparities and exercise/dance intervention for DM patients, this innovation will expand the research field and have a broader impact on minority health. Currently, there is a lack of data on effective lifestyle recommendations for normal-weight diabetics (NWD), accounting for 1 in 5 Type II DM patients. NWD is especially prevalent in Asian populations and the elderly, facing higher mortality rates than obese diabetics 4 . Research shows dance improves DM and reduces cardiovascular deaths by 46%. 5 . These interventions, however, are only available in person. There are many exercise programs and live video tools, but they rarely cater to an individual’s mobility and accessibility needs. Hence, there is an unmet need for an easy-to-adopt telehealth platform enticing patients to dance from home. Guided by The NIMHD Minority Health and Health Disparities Research Framework, this project will study the effects of multiple races/ethnicities factors on health behaviors, and develop a culturally sensitive novel habit-building algorithm using Creative Arts Therapy (CAT: Music, Dance, Arts) for remote activity engagement systems with multilevel tracking and effective behavior prompts. Dance4Healing’s (D4H) proprietary personalization will tailor to users’ needs/desires, and find compatible buddies to build lasting habits with pre-recorded and live video classes (think YouTube + Zoom + eHarmony for health buddies). This feasibility study will partner with Stanford professors and the Institute on Aging to develop a groundbreaking smart platform integrating biosensors and a Telehealth Live Video Platform (TLVP). Our multidisciplinary team of experts in diabetes and cardiovascular health, biotracking, behavioral sciences, dance therapy, and data/AI science will pursue the following aims: AIM 1: User research on tailoring D4H TLVP to varied mobility, accessibility needs, potential language barriers, integrating cultural awareness, and identifying effective behavior prompts. Milestones: 12 qualitative 1-hour user interviews for feedback on the current program and UI design. AIM 2: Build and test the feasibility of biosensor integration (Garmin vivosmart® 4, Omron Scale) through an 8-week Mindful Movement telehealth program. Milestones: Successful use of platform biosensors by at least 80% of participants. AIM 3: Develop a novel AI algorithm aligned with NIMHD Research Framework with multilevel tracking and test its feasibility in personalized recommendations and buddy matching tailored to preferences, abilities, and needs. Milestones: 1) Develop data collection and integration methods for preference data, self-reported data with EHR data. 2) Develop an AI algorithm based on this data. Success of this project will lay the groundwork for Phase II for a multicenter trial with American Heart Association, and improve QoL for 34.2 M diabetic Americans, furthering D4H’s vision to become an experience leader bridging art and health.

项目概要/摘要 2018 年，3420 万美国人患有糖尿病 (DM)，花费 $327 B 1-2 。其中 68% 将死于心血管疾病 3 。 CDC 报告称，糖尿病对少数族裔的影响尤为严重。 Palaniappan 博士是糖尿病患者健康差异和运动/舞蹈干预研究的先驱，与他合作，这项创新将扩大研究领域，并对少数族裔的健康产生更广泛的影响。目前，对于正常体重糖尿病患者 (NWD) 缺乏有效生活方式建议的数据，正常体重糖尿病患者占 II 型糖尿病患者的五分之一。 NWD 在亚洲人群和老年人中尤其普遍，其死亡率高于肥胖糖尿病患者 4 。研究表明，舞蹈可改善糖尿病，并将心血管死亡人数减少 46%。 5.然而，这些干预措施只能亲自进行。有许多锻炼计划和实时视频工具，但它们很少满足个人的移动性和可达性需求。因此，对于一个易于采用的远程医疗平台来吸引患者在家跳舞的需求尚未得到满足。在 NIMHD 少数族裔健康和健康差异研究框架的指导下，该项目将研究多个种族/民族因素对健康行为的影响，并利用创意艺术疗法（CAT：音乐、舞蹈、艺术）开发一种文化敏感的新型习惯养成算法，用于具有多级跟踪和有效行为提示的远程活动参与系统。 Dance4Healing (D4H) 的专有个性化将根据用户的需求/愿望进行定制，并找到兼容的伙伴，通过预先录制的直播视频课程培养持久的习惯（对于健康伙伴来说，可以考虑 YouTube + Zoom + eHarmony）。这项可行性研究将与斯坦福大学教授和老龄化研究所合作开发一个突破性的智能平台，集成生物传感器和远程医疗实时视频平台（TLVP）。我们的糖尿病和心血管健康、生物追踪、行为科学、舞蹈治疗和数据/人工智能科学领域的多学科专家团队将追求以下目标： 目标 1：用户研究根据不同的移动性、可访问性需求、潜在的语言障碍、整合文化意识和识别有效的行为提示来定制 D4H TLVP。里程碑：12 次为期 1 小时的定性用户访谈，以获取有关当前程序和 UI 设计的反馈。目标 2：通过为期 8 周的正念运动远程医疗计划构建并测试生物传感器集成（Garmin vivosmart® 4、Omron Scale）的可行性。里程碑：至少 80% 的参与者成功使用平台生物传感器。目标 3：开发一种符合 NIMHD 研究框架的新型人工智能算法，具有多级跟踪功能，并测试其在根据偏好、能力和需求量身定制的个性化推荐和好友匹配方面的可行性。里程碑： 1) 开发偏好数据、自我报告数据与 EHR 数据的数据收集和集成方法。 2）根据这些数据开发人工智能算法。该项目的成功将为美国心脏协会的多中心试验第二阶段奠定基础，并改善 3420 万糖尿病美国人的生活质量，进一步推进 D4H 成为连接艺术与健康的体验领导者的愿景。