Evidence map›Paper›PMID 30720564›Full record

ArticleNursing research

A Protocol to Assess Feasibility, Acceptability, and Usability of Mobile Technology for Symptom Management in Pediatric Transplant Patients.

Jacqueline Vaughn, Erika Summers-Goeckerman, Ryan J Shaw, Nirmish Shah

Abstract read
In one paragraph

Article in Nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. 21Frontiers in pediatrics · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Seriously ill pediatric patient, parent, and clinician perspectives on visualizing symptom data.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  9. Article
  10. Article
  11. 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

4 authors.

Jacqueline VaughnJacqueline Vaughn, BSN, RN, CHSE, is a PhD candidate, Duke University School of Nursing, Durham, North Carolina. Ryan J. Shaw, PhD, RN, is Associate Professor, Duke University School of Nursing, Durham, North Carolina. Erika Summers-Goeckerman, MSN, RN, CPNP-AC, is Pediatric Blood and Marrow Transplant Nurse Practitioner, Hematology-Oncology Division, Duke Health, Durham, North Carolina. Nirmish Shah, MD, is Assistant Professor of Medicine, Hematology-Oncology Division, Duke Health, Durham, North Carolina.
Erika Summers-Goeckerman
Ryan J Shaw
Nirmish Shah

Funding

Technology-Mediated Symptom Management in Pediatric Blood and Marrow Transplant CareF31NR018100 · NINR · DUKE UNIVERSITY · PI VAUGHN, JACQUELINE · 2018 to 2019
$79k
NINR NIH HHS F31 NR018100
6 · The paper itself

Abstract

backgroundPediatric blood and marrow transplant (PBMT) patients experience significant symptom distress, and the use of mobile health (mHealth) technologies may enhance symptom management by providing patient-generated health data to foster personalized health strategies.

objectivesThe aim of this study was to present a study protocol to explore feasibility, acceptability, and usability of integrating mHealth technologies to collect and monitor symptom data for PBMT patients.

methodsAn exploratory mixed-methods design is employed for 20 PBMT patients to monitor symptoms using real-time data from two mHealth devices: (a) a self-developed mHealth application and (b) a wearable tracking device. Patient-Reported Outcomes Measurement Information System surveys for fatigue, pain, and sleep disturbance are obtained monthly. Interviews are conducted to obtain further feasibility and usability data.

resultsThe study began in October 2017; data collection should be completed in 2018. Feasibility and usability results to monitor and record symptom-related data daily via mobile devices will be reported. Patient-Reported Outcomes Measurement Information System surveys and interviews will further explore patients' symptoms and experiences with the mobile devices. DISCUSSION: This study will be among the first to explore the feasibility, acceptability, and usability of integrating multiple mHealth technologies to obtain patient-generated symptom data for the PBMT population. Results will enhance our understanding of how these data present, interact, and cluster together throughout the posttransplant period for these children and lead to symptom management strategies. Results will focus on a high-risk population that potentially stands to benefit from the use of mobile technologies.

Indexed as

TelemedicineAdolescentChildFeasibility StudiesFemaleHumansMaleResearch DesignTransplantation

Identifiers

PMID30720564
PMCPMC6602819

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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.