ArticleJMIR research protocols2019
Leveraging Smart Health Technology to Empower Patients and Family Caregivers in Managing Cancer Pain: Protocol for a Feasibility Study.
Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 30 citations in OpenAlex.
- Implementation of a pragmatic pathway to ensure high-quality processing of heterogeneous remote health sensing data.Smart health (Amsterdam, Netherlands) · 2026Article
- 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
- Navigating the emotional landscape: exploring caregivers' journey alongside breast cancer survivors with chronic pain.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Incorporation of "Artificial Intelligence" for Objective Pain Assessment: A Comprehensive Review.Pain and therapy · 2024Review
- 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
- A novel machine learning based framework for developing composite digital biomarkers of disease progression.Frontiers in digital health · 2024Article
- Personalized Medicine in Cancer Pain Management.Journal of personalized medicine · 2023Review
- Article
- Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study.JMIR research protocols · 2022Article
- Challenges and Opportunities in Designing and Deploying Remote Health Monitoring Technology for Older Adults With Cancer.Innovation in aging · 2022Article
- Mobile 5P-Medicine Approach for Cardiovascular Patients.Sensors (Basel, Switzerland) · 2021Article
- Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis.Journal of medical Internet research · 2020Article
- Understanding the Experience of Cancer Pain From the Perspective of Patients and Family Caregivers to Inform Design of an In-Home Smart Health System: Multimethod Approach.JMIR formative research · 2020Article
- Harnessing consumer smartphone and wearable sensors for clinical cancer research.NPJ digital medicine · 2020Review
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAn estimated 60%-90% of patients with cancer experience moderate to severe pain. Poorly managed cancer pain negatively affects the quality of life for both patients and their family caregivers and can be a particularly challenging symptom to manage at home. Mobile and wireless technology ("Smart Health") has significant potential to support patients with cancer and their family caregivers and empower them to safely and effectively manage cancer pain.
objectiveThis study will deploy a package of sensing technologies, known as Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C), and evaluate its feasibility and acceptability among patients with cancer-family caregiver dyads. Our primary aims are to explore the ability of BESI-C to reliably measure and describe variables relevant to cancer pain in the home setting and to better understand the dyadic effect of pain between patients and family caregivers. A secondary objective is to explore how to best share collected data among key stakeholders (patients, caregivers, and health care providers).
methodsThis descriptive two-year pilot study will include dyads of patients with advanced cancer and their primary family caregivers recruited from an academic medical center outpatient palliative care clinic. Physiological (eg, heart rate, activity) and room-level environmental variables (ambient temperature, humidity, barometric pressure, light, and noise) will be continuously monitored and collected. Behavioral and experiential variables will be actively collected when the caregiver or patient interacts with the custom BESI-C app on their respective smart watch to mark and describe pain events and answer brief, daily ecological momentary assessment surveys. Preliminary analysis will explore the ability of the sensing modalities to infer and detect pain events. Feasibility will be assessed by logistic barriers related to in-home deployment, technical failures related to data capture and fidelity, smart watch wearability issues, and patient recruitment and attrition rates. Acceptability will be measured by dyad perceptions and receptivity to BESI-C through a brief, structured interview and surveys conducted at deployment completion. We will also review summaries of dyad data with participants and health care providers to seek their input regarding data display and content.
resultsRecruitment began in July 2019 and is in progress. We anticipate the preliminary results to be available by summer 2021.
conclusionsBESI-C has significant potential to monitor and predict pain while concurrently enhancing communication, self-efficacy, safety, and quality of life for patients and family caregivers coping with serious illness such as cancer. This exploratory research offers a novel approach to deliver personalized symptom management strategies, improve patient and caregiver outcomes, and reduce disparities in access to pain management and palliative care services. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/16178.
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