Evidence map›Paper›PMID 32647760›Full record

ArticleKidney international reports2020

Feasibility of Tablet-Based Patient-Reported Symptom Data Collection Among Hemodialysis Patients.

Jennifer E Flythe, Matthew J Tugman, Julia H Narendra, Adeline Dorough, Johnathan Hilbert, Magdalene M Assimon, Darren A DeWalt

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 1 institution in 1 country.

Jennifer E FlytheUniversity of North Carolina Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Matthew J TugmanUniversity of North Carolina Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Julia H NarendraUniversity of North Carolina Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Adeline DoroughUniversity of North Carolina Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Johnathan HilbertUniversity of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Magdalene M AssimonUniversity of North Carolina Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Darren A DeWaltDivision of General Medicine and Clinical Epidemiology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
Investigating strategies to reduce fluid-related complications among hemodialysis patientsK23DK109401 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FLYTHE, JENNIFER E · 2016 to 2020
$992k
NCI NIH HHS P30 CA016086NIDDK NIH HHS K23 DK109401NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

introductionIndividuals receiving in-center hemodialysis have high symptom burdens but often do not report their symptoms to care teams. Evidence from other diseases suggest that use of symptom electronic patient-reported outcome measures (ePROMs) may improve outcomes. We assessed the usability of a symptom ePROM system and then implemented a quality improvement (QI) project with the objective of improving symptom communication at a US hemodialysis clinic. During the project, we assessed the feasibility of ePROM implementation and conducted a substudy exploring the effect of ePROM use on patient-centered care.

methodsAfter conducting usability testing, we used mixed methods, guided by the Quality Implementation Framework, to implement a 16-week symptom ePROM QI project. We performed pre-, intra-, and postproject stakeholder interviews to identify implementation barriers and facilitators. We collected ePROM system-generated data on symptoms, e-mail alerts, and response rates, among other factors, to inform our feasibility assessment. We compared pre- and postproject outcomes.

resultsThere were 62 patient participants (34% black, 16% Spanish-speaking) and 19 care team participants (4 physicians, 15 clinic personnel) at QI project start, and 32 research participants. In total, the symptom ePROM was administered 496 times (completion rate = 84%). The implementation approach and ePROM system were modified to address stakeholder-identified concerns throughout. ePROM implementation was feasible as demonstrated by the program's acceptability, demand, implementation success, practicality, integration in care, and observed trend toward improved outcomes.

conclusionsSymptom ePROM administration during hemodialysis is feasible. Trials investigating the effectiveness of symptom ePROMs and optimal administration strategies are needed.

Indexed as

hemodialysisimplementationimprovementmixed methodspatient-reported outcomesqualitysymptoms

Identifiers

PMID32647760
PMCPMC7335968
OpenAlexW3023995179

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.