Mobile sensors in cancer care: Patient and provider perspectives and impact on patient-provider communication

癌症护理中的移动传感器：患者和提供者的观点以及对患者与提供者沟通的影响

• 批准号: 10830155
• 负责人: Carissa A Low
• 金额: $ 9.64万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10830155
• 关键词: Address; Administrative Supplement; Cellular Phone; Clinical; Data; Enrollment; Feedback; Future; Goals; Interview; Literature; Monitor; Parents; Patients; Provider; Sampling; Structure; Symptoms; System; Time; Visualization; Work; acceptability and feasibility; cancer care; chemotherapy; clinical care; design; digital tool; future implementation; interest; machine learning model; machine learning prediction; mobile sensing; mobile sensor; parent grant; patient engagement; patient-clinician communication; preference; prototype; response; sensor; symptom self management; tool; wearable device; wearable sensor technology; web app

Mobile sensors in cancer care: Patient and provider perspectives and impact on patient-provider communication This application is being submitted in response to the Notice of Special Interest (NOSI) identified as NOT-CA-23-041. The goal of the parent grant, R37CA242545, is to develop a system that uses smartphone and wearable sensors to passively monitor symptom burden during chemotherapy. The parent study aims to develop machine learning models predicting next-day symptoms using mobile sensor features as input, to integrate these predictions into a patient-facing web application, and to evaluate the feasibility and acceptability of using these predictions to trigger symptom self- management advice or patient-provider communication. The proposed administrative supplement will focus on understanding patient and provider preferences for integrating mobile sensor-based metrics and predictions into clinical care in ways that support patient-provider communication. We will conduct semi-structured and design interviews with patients (n = 20) and providers (n = 20) that are participating in the parent study, using purposive sampling to enroll both highly and less engaged participants. We will develop several mid-fidelity prototypes that (1) visualize patients’ own sensor data from the parent grant and (2) visualize and explain sensor-based predictions about next-day symptoms. Specific aims of this supplement are (1) to identify barriers, benefits, and preferences related to how mobile sensor tools and data could be used to support patient-provider communication during chemotherapy and how to best support patient and provider use of these digital tools and (2) to obtain patient and provider feedback on prototypes and visualizations. Findings from this supplemental study will be used to support patient and provider engagement with our mobile sensing system, to add new features supporting patient-provider communication, and to address potential barriers to future implementation. Results will also address a gap in the literature about how wearable and other passive sensors might impact patient-provider communication and will inform future work integrating mobile sensing into clinical cancer care.

癌症护理中的移动的传感器：患者和供应商的观点和 对医患沟通影响 本申请是根据特别利益通知（NOSI）提交的。 编号为NOT-CA-23-041。父母补助金R37 CA 242545的目标是开发 使用智能手机和可穿戴传感器被动监测症状的系统 化疗期间的负担。家长研究旨在开发机器学习 使用移动的传感器特征作为输入预测次日症状的模型， 将这些预测集成到面向患者的Web应用程序中，并评估 使用这些预测来触发症状自我的可行性和可接受性 管理建议或患者-提供者沟通。拟议行政 补充将侧重于了解患者和提供者的偏好， 将基于移动的传感器的指标和预测整合到临床护理中， 支持患者-提供者沟通。我们将进行半结构化和设计 与参与研究的患者（n = 20）和提供者（n = 20）进行访谈， 家长研究，使用目的抽样招募高度参与和较低参与 参与者我们将开发几个中等保真度的原型，（1）可视化患者的 拥有来自父母补助金的传感器数据，以及（2）可视化并解释基于传感器的 第二天症状的预测。本补充文件的具体目标是：（1） 确定与移动的传感器工具和数据如何 可用于在化疗期间支持患者-提供者沟通， 如何最好地支持患者和提供者使用这些数字化工具，以及（2）获得 患者和提供者对原型和可视化的反馈。时发现的问题 补充研究将用于支持患者和提供者参与我们的 移动的传感系统，以添加支持患者-提供者的新功能 沟通，并解决未来实施的潜在障碍。结果将 还解决了文献中关于可穿戴和其他无源传感器如何 影响患者与提供者之间的沟通，并将为未来的工作提供信息 临床癌症护理中。

项目成果

Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices.

• DOI: 10.3389/fdgth.2021.769823
• 发表时间: 2021
• 期刊: Frontiers in digital health
• 作者: Vega J;Li M;Aguillera K;Goel N;Joshi E;Khandekar K;Durica KC;Kunta AR;Low CA
• 通讯作者: Low CA

Another step (count) towards leveraging mobile health data for clinical prediction.

利用移动健康数据进行临床预测的又一步（计数）。

• DOI: 10.1016/s2589-7500(21)00212-0
• 发表时间: 2021
• 期刊: The Lancet. Digital health
• 作者: Murphy,AndrewR;Low,CarissaA
• 通讯作者: Low,CarissaA

Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study.

• DOI: 10.2196/27975
• 发表时间: 2021-04-27
• 期刊: JMIR cancer
• 影响因子: 2.8
• 作者: Low CA;Li M;Vega J;Durica KC;Ferreira D;Tam V;Hogg M;Zeh Iii H;Doryab A;Dey AK
• 通讯作者: Dey AK

Harnessing consumer smartphone and wearable sensors for clinical cancer research.

• DOI: 10.1038/s41746-020-00351-x
• 发表时间: 2020
• 期刊: NPJ digital medicine
• 影响因子: 15.2
• 作者: Low CA