Evidence map›Paper›PMID 31815679›Full record

ArticleJMIR research protocols2019

Leveraging Smart Health Technology to Empower Patients and Family Caregivers in Managing Cancer Pain: Protocol for a Feasibility Study.

Virginia LeBaron, James Hayes, Kate Gordon, Ridwan Alam, Nutta Homdee, Yudel Martinez, Emmanuel Ogunjirin, Tanya Thomas, Randy Jones, Leslie Blackhall and 1 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Personalized Medicine in Cancer Pain Management.Journal of personalized medicine · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Virginia LeBaronUniversity of Virginia School of Nursing, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-1299-4730
James HayesUniversity of Virginia School of Engineering & Applied Science, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-6918-3381
Kate GordonVirginia Commonwealth University Health, Richmond, VA, United States.ORCID https://orcid.org/0000-0003-2555-5128
Ridwan AlamUniversity of Virginia School of Engineering & Applied Science, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-4332-4051
Nutta HomdeeUniversity of Virginia School of Engineering & Applied Science, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0003-3845-6559
Yudel MartinezUniversity of Virginia School of Engineering & Applied Science, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-5671-4614
Emmanuel OgunjirinUniversity of Virginia School of Engineering & Applied Science, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0001-8458-3204
Tanya ThomasUniversity of Virginia School of Nursing, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0001-7249-6568
Randy JonesUniversity of Virginia School of Nursing, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-2739-5132
Leslie BlackhallUniversity of Virginia School of Medicine, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-7536-1658
John LachThe George Washington University School of Engineering & Applied Science, Washington, DC, United States.ORCID https://orcid.org/0000-0002-7105-9996
University of Virginia · USGeorge Washington University · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

cancercaregiversopioidspainpalliative caresensorssmart health

Identifiers

PMID31815679
PMCPMC6928698
OpenAlexW2983979686

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.