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.

项目总结/摘要 MATCHES（Making Telehealth Delivery of Cancer Care at Home Effective and Safe）远程医疗研究 中心旨在建立必要的证据基础，以建立远程医疗支持癌症的最佳实践 在乎该中心的总体目标是创建一个研究中心， 研究人员，并开发所需的研究方法，点燃了精确的癌症护理交付领域。 先前的工作表明，以肿瘤学为重点的远程医疗可以取得有利的结果，但大规模的 试验仅限于姑息治疗或生存等特定情况。采用受到限制 有限的补偿。MATCHES中心将通过执行以下措施来帮助弥补这一证据缺口： 前瞻性试验，进行观察分析，培训跨学科研究人员。我们的研究 主题侧重于整合来自远程医疗平台、患者门户网站、移动的 跟踪设备和电子病历，以开发支持个性化的分析方法， 在乎我们的目标是在肿瘤学领域发展一种新的范例--精确输送--最终目标是匹配 个体患者与基于诊所或远程保健支持的家庭环境的最有益组合 在适当的时间进行护理-所有这些都基于动态可用数据的整体。我们会完成的 通过应用数据科学方法，包括灵活的试验设计和机器学习， 到目前为止，远程保健的应用有限。通过建立一个研究中心， 学科，并提供培训，工具，数据，分析方法和场地，以分享知识和建设 通过建立伙伴关系，我们希望加快护理科学的进展。我们的具体目标是：（1） 进行有影响力的肿瘤远程医疗实用试验，2）分析大量现有的 表征远程保健利用和结果的多维观察数据，3）培训研究人员 并使他们具备在循证框架内创新所需的技能，以及4）整合 远程医疗与其他数据流，并创建和应用分析方法，以改变精度领域 护理交付。一个行政核心将协调各项活动，并听取来自内部和外部的反馈意见。 包括患者和肿瘤学工作人员在内的所有利益相关者。我们的临床实践网络作为一个 创新实验室，包括纽约和新泽西州的7个门诊诊所，共享信息学生态系统 包括远程保健能力、数字监测和高流量患者门户。这将使我们能够 启动并执行一项大型实用试验，将面对面护理与远程医疗进行比较， 支持使用群集随机设计的家庭护理。研究与方法核心将支持 应用数据科学方法从远程医疗和其他数据中提取和综合见解 流，以开发与推进精准癌症护理提供和公平目标相关的方法， 疗效和效率，为癌症患者创造最佳体验。