MATCHES: Making Telehealth Delivery of Cancer Care at Home Effective and Safe

匹配：使远程医疗在家中提供有效且安全的癌症护理

• 批准号: 10673980
• 负责人: MICHAEL J MORRIS
• 金额: $ 121.42万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10673980
• 关键词: Acceleration; Address; Adoption; Ambulatory Care Facilities; Biological Models; COVID-19 pandemic; Cancer Patient; Caring; Chronic; Clinic; Clinical Medicine; Communication; Computerized Medical Record; Custom; Data; Data Science; Devices; Diagnosis; Dimensions; Discipline; Diverse Workforce; Dose; Ecosystem; Effectiveness; Electronic Health Record; Ensure; Equity; Explosion; Feedback; Future; Goals; Growth; Health Benefit; Health Services; Heart failure; Home; Individual; Inequity; Informatics; Institute of Medicine (U.S.); Intervention; Intramuscular; Knowledge; Laboratories; Link; Machine Learning; Malignant Neoplasms; Medicine; Metadata; Methods; Modeling; New Jersey; New York; Oncology; Oral; Outcome; Outcome Measure; Outpatients; Palliative Care; Patients; Pattern; Persons; Physicians; Prostate Cancer therapy; Quality of Care; Research; Research Design; Research Methodology; Research Personnel; Resources; Risk; Rural; Safety; Science; Site; System; Techniques; Testing; Time; Training; Visit; Woman; Work; access disparities; analytical method; asynchronous communication; behavioral health; cancer care; cancer therapy; care delivery; clinical practice; cluster randomized design; complex data; data streams; design; digital; digital monitoring; digital tool; evidence base; experience; health care quality; health communication; health data; health equity; implementation science; individual patient; innovation; insight; investigator training; mHealth; machine learning method; malignant breast neoplasm; men; multidisciplinary; novel; pandemic disease; patient portal; personalized care; pilot trial; pragmatic trial; precision oncology; prospective; rational design; remediation; skills; subcutaneous; survivorship; telehealth; tool; trial comparing; trial design; virtual visit

Project Summary/Abstract The MATCHES (Making Telehealth Delivery of Cancer Care at Home Effective and Safe) Telehealth Research Center aims to build the evidence base necessary to establish best practices for telehealth-enabled cancer care. The overarching goal of the Center is to create a research hub that generates evidence, trains investigators, and develops the research methods required to ignite the field of precision cancer care delivery. Prior work demonstrates that oncology-focused telehealth can achieve favorable outcomes, but large-scale trials have been limited to specific contexts like palliative care or survivorship. Adoption has been constrained by restricted reimbursement. The MATCHES Center will help remediate this evidence gap by executing prospective trials, conducting observational analyses, and training transdisciplinary researchers. Our research theme focuses on the integration of multi-layered data from telehealth platforms, patient portals, mobile tracking devices, and the electronic medical record to develop analytic methods that support personalized care. We aim to develop a new paradigm in oncology—precision delivery—with the ultimate goal of matching individual patients with the most beneficial combination of clinic-based or telehealth-supported home-setting care at the appropriate time—all based on the totality of dynamically available data. We will accomplish this goal by applying data science methods—including nimble trial designs and machine learning—that have had limited application to telehealth to date. By establishing a research hub that nurtures investigators across disciplines and provides training, tools, data, analytic methods, and venues for sharing knowledge and building partnerships, we expect to accelerate progress in the science of care delivery. Our specific aims are 1) to conduct impactful pragmatic trials of telehealth in oncology, 2) to analyze a large existing cache of multidimensional observational data characterizing telehealth utilization and outcomes, 3) to train investigators and equip them with the skills necessary to innovate within an evidence-based framework, and 4) to integrate telehealth with other data streams and create and apply analytic methods to transform the field of precision care delivery. An Administrative Core will coordinate activities and engage feedback from internal and external stakeholders—including patients and the oncology workforce. Our Clinical Practice Network serves as an innovation laboratory and comprises 7 outpatient clinics in NY and NJ with a shared informatics ecosystem including telehealth capacity, digital monitoring, and a highly trafficked patient portal. This will enable us to launch and execute a large pragmatic trial comparing in-person care to telehealth, with resources designed to support home-based care using a cluster-randomized design. The Research & Methods Core will support the Center by applying data science methods to extract and synthesize insights from telehealth and other data streams to develop methods relevant to advancing precision cancer care delivery and the goals of equity, efficacy, and efficiency to create an optimal experience for people being treated for cancer.

项目摘要/摘要 远程医疗研究（使家庭有效且安全的癌症护理远程医疗服务）远程医疗研究 中心旨在建立为远程医疗癌症建立最佳实践所必需的证据基础 关心。该中心的总体目标是创建一个生成证据，训练的研究中心 研究人员，并开发了点燃精确癌症护理领域所需的研究方法。 先前的工作表明，以肿瘤学为中心的远程医疗可以取得好成果，但大规模的结果 试验仅限于姑息治疗或生存等特定环境。收养已被限制 通过有限的报销。比赛中心将通过执行来帮助解决此证据差距 前瞻性试验，进行观察分析和培训跨学科研究人员。我们的研究 主题重点介绍来自远程医疗平台，患者门户，移动的多层数据的集成 跟踪设备和电子病历以开发支持个性化的分析方法 关心。我们旨在开发肿瘤学的新范式（定期交付），是匹配的最终目标 基于诊所或远程医疗家庭建立的诊所或远程医疗的组合最有益的个体患者 在适当的时间进行护理 - 所有基于动态可用数据的总数。我们将实现这一目标 通过应用数据科学方法（包括敏捷的试验设计和机器学习）的目标 迄今为止对远程医疗的申请有限。通过建立一个研究中心 学科并提供共享知识和建设的培训，工具，数据，分析方法和场所 合作伙伴关系，我们希望加速护理科学的进步。我们的具体目标是1） 在肿瘤学中进行有影响力的务实务实试验，2）分析大量现有的缓存 表征远程医疗利用和结果的多维观察数据，3）培训研究者 并为他们配备在循证框架内创新所需的技能，以及4） 与其他数据流有关远程医疗，并创建和应用分析方法来转换精度领域 护理交付。行政核心将协调活动并参与内部和外部的反馈 利益相关者 - 包括患者和肿瘤学劳动力。我们的临床实践网络是 创新实验室和纽约州和新泽西州的7家门诊诊所以及共同的信息生态系统 包括远程医疗容量，数字监控以及高度贩运的患者门户网站。这将使我们能够 启动并执行一项大型务实试验，将面对面护理与远程医疗进行比较，并旨在 使用群集随机设计支持基于家庭的护理。研究与方法核心将支持 通过应用数据科学方法提取和综合远程医疗和其他数据的见解中心 溪流开发与推进精确癌症护理交付和公平目标有关的方法， 功效和效率，为接受癌症治疗的人创造最佳体验。