ArticleJMIR cancer2022
Deploying the Behavioral and Environmental Sensing and Intervention for Cancer Smart Health System to Support Patients and Family Caregivers in Managing Pain: Feasibility and Acceptability Study.
Article in JMIR cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Patient and families' perspectives on telepalliative care: A systematic integrative review.Palliative medicine · 2024Pooled it
- Implementation of a pragmatic pathway to ensure high-quality processing of heterogeneous remote health sensing data.Smart health (Amsterdam, Netherlands) · 2026Article
- A scoping review on the feasibility and efficacy of mobile health applications in the management of breakthrough pain in cancer patients.BMC health services research · 2026Article
- Use of Health and Welfare Technology in Palliative Care: State-of-the-Art Review.Journal of medical Internet research · 2026Review
- Exploring the predictive capacity of smartphone-based digital phenotyping to monitor pain and physical quality of life in advanced cancer patients, family caregivers, and dyads.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- Review
- Post-traumatic growth trend among patients with thyroid cancer during diagnosis and therapy: a qualitative research in China.BMJ open · 2025Article
- Defining dyadic cancer pain concordance using participant-initiated interactions with a remote health monitoring system.JAMIA open · 2025Article
- "Less words, more pictures": creating and sharing data visualizations from a remote health monitoring system with clinicians to improve cancer pain management.Frontiers in digital health · 2025Article
- Intensive Longitudinal Methods Among Adults With Breast or Lung Cancer: Scoping Review.Journal of medical Internet research · 2024Article
- The influence of ambient environmental factors on breakthrough Cancer pain: insights from remote health home monitoring and a proposed data analytic approach.BMC palliative care · 2024Article
- The use of ecological momentary assessment for family caregivers of adults with chronic conditions: A systematic review.Health psychology research · 2024Article
- Big Data in Oncology Nursing Research: State of the Science.Seminars in oncology nursing · 2023Review
- The PBC Model: Supporting Positive Behaviours in Smart Environments.Sensors (Basel, Switzerland) · 2022Article
- Article
- Challenges and Opportunities in Designing and Deploying Remote Health Monitoring Technology for Older Adults With Cancer.Innovation in aging · 2022Article
- Older People's Voices Matter!: Possibilities and Limitations for Providing Dignified Palliative Care with Wearable Devices.Global qualitative nursing researchArticle
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 2 countries.
Funding
Abstract
backgroundDistressing cancer pain remains a serious symptom management issue for patients and family caregivers, particularly within home settings. Technology can support home-based cancer symptom management but must consider the experience of patients and family caregivers, as well as the broader environmental context.
objectiveThis study aimed to test the feasibility and acceptability of a smart health sensing system-Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C)-that was designed to support the monitoring and management of cancer pain in the home setting.
methodsDyads of patients with cancer and their primary family caregivers were recruited from an outpatient palliative care clinic at an academic medical center. BESI-C was deployed in each dyad home for approximately 2 weeks. Data were collected via environmental sensors to assess the home context (eg, light and temperature); Bluetooth beacons to help localize dyad positions; and smart watches worn by both patients and caregivers, equipped with heart rate monitors, accelerometers, and a custom app to deliver ecological momentary assessments (EMAs). EMAs enabled dyads to record and characterize pain events from both their own and their partners' perspectives. Sensor data streams were integrated to describe and explore the context of cancer pain events. Feasibility was assessed both technically and procedurally. Acceptability was assessed using postdeployment surveys and structured interviews with participants.
resultsOverall, 5 deployments (n=10 participants; 5 patient and family caregiver dyads) were completed, and 283 unique pain events were recorded. Using our "BESI-C Performance Scoring Instrument," the overall technical feasibility score for deployments was 86.4 out of 100. Procedural feasibility challenges included the rurality of dyads, smart watch battery life and EMA reliability, and the length of time required for deployment installation. Postdeployment acceptability Likert surveys (1=strongly disagree; 5=strongly agree) found that dyads disagreed that BESI-C was a burden (1.7 out of 5) or compromised their privacy (1.9 out of 5) and agreed that the system collected helpful information to better manage cancer pain (4.6 out of 5). Participants also expressed an interest in seeing their own individual data (4.4 out of 5) and strongly agreed that it is important that data collected by BESI-C are shared with their respective partners (4.8 out of 5) and health care providers (4.8 out of 5). Qualitative feedback from participants suggested that BESI-C positively improved patient-caregiver communication regarding pain management. Importantly, we demonstrated proof of concept that seriously ill patients with cancer and their caregivers will mark pain events in real time using a smart watch.
conclusionsIt is feasible to deploy BESI-C, and dyads find the system acceptable. By leveraging human-centered design and the integration of heterogenous environmental, physiological, and behavioral data, the BESI-C system offers an innovative approach to monitor cancer pain, mitigate the escalation of pain and distress, and improve symptom management self-efficacy. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/16178.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.