癌症患者及其看护人员的疼痛问题一直是一个困难且普遍存在的问题。远程健康监测系统（RHMS），如癌症行为和环境感知干预（BESI-C），可以利用生态瞬时评估（EMAs）来更全面地了解患者和家庭在家庭环境中的癌症疼痛体验。参与者使用BESI-C系统进行了为期2周的使用，该系统通过患者和主要家庭看护者佩戴的可穿戴设备（智能手表）收集EMAs数据。我们开发了三种独特的EMA模式，允许患者和看护者从自己的角度描述患者的疼痛事件及其对生活质量的感知影响。对EMA数据进行分析，以提供疼痛事件的描述性摘要并探索不同类型的数据可视化。从5对患者-看护者（n=5）中收集了数据（共10个参与者，其中包括5个患者和5个看护者）。总共记录了283个用户发起的疼痛事件的EMA（其中198个由患者发起，85个由看护者发起），在5个使用中患者疼痛的平均严重程度评分为5.4/10，看护者评估的患者疼痛程度为4.6/10。平均自报的整体痛苦和疼痛影响水平（1=最小痛苦；4=最大痛苦）较患者而言，看护者的水平更高（x¯ 3.02，x¯2.60），而患者对伴侣痛苦的感知负担较高（即患者认为看护者更痛苦，x¯3.21，而看护者认为患者痛苦程度较低，x¯2.55）。数据可视化采用时间轮、气泡图、箱线图和折线图进行呈现EMA结果。通过EMAs收集数据是一种可行的RHMS策略，可捕获患者和看护者的长期癌症疼痛事件数据，为个性化疼痛管理和缓解困扰的干预提供信息。© 作者 2023.

Pain continues to be a difficult and pervasive problem for patients with cancer, and those who care for them. Remote health monitoring systems (RHMS), such as the Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C), can utilize Ecological Momentary Assessments (EMAs) to provide a more holistic understanding of the patient and family experience of cancer pain within the home context.Participants used the BESI-C system for 2-weeks which collected data via EMAs deployed on wearable devices (smartwatches) worn by both patients with cancer and their primary family caregiver. We developed three unique EMA schemas that allowed patients and caregivers to describe patient pain events and perceived impact on quality of life from their own perspective. EMA data were analyzed to provide a descriptive summary of pain events and explore different types of data visualizations.Data were collected from five (n = 5) patient-caregiver dyads (total 10 individual participants, 5 patients, 5 caregivers). A total of 283 user-initiated pain event EMAs were recorded (198 by patients; 85 by caregivers) over all 5 deployments with an average severity score of 5.4/10 for patients and 4.6/10 for caregivers' assessments of patient pain. Average self-reported overall distress and pain interference levels (1 = least distress; 4 = most distress) were higher for caregivers (x¯ 3.02, x¯2.60,respectively) compared to patients (x¯ 2.82, x¯ 2.25, respectively) while perceived burden of partner distress was higher for patients (i.e., patients perceived caregivers to be more distressed, x¯ 3.21, than caregivers perceived patients to be distressed, x¯2.55). Data visualizations were created using time wheels, bubble charts, box plots and line graphs to graphically represent EMA findings.Collecting data via EMAs is a viable RHMS strategy to capture longitudinal cancer pain event data from patients and caregivers that can inform personalized pain management and distress-alleviating interventions.© The Author(s) 2023.