Evidence map›Paper›PMID 31688339›Full record

ArticleNursing research

Design and Evaluation of the Electronic Patient-Generated Index.

Susan S Tavernier, Susan L Beck

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Susan S TavernierSusan S. Tavernier, PhD, APRN-CNS, AOCN, is Assistant Professor, Idaho State University College of Nursing, Meridian. At the time this research was completed, she was Postdoctoral Fellow at University of Utah College of Nursing, Salt Lake City. Susan L. Beck, PhD, APRN, AOCN, FAAN, is Professor-Emerita, University of Utah, Salt Lake City. At the time this research was completed, she was Professor and Robert S. and Beth M. Carter Endowed Chair, University of Utah College of Nursing, Salt Lake City.
Susan L Beck

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Interdisciplinary Training in Cancer, Caregiving and End-of-Life CareT32NR013456 · NINR · UNIVERSITY OF UTAH · PI ELLINGTON, LEE A, MOONEY, KATHLEEN H · 2013 to 2022
$3.4M
NCATS NIH HHS UL1 TR002538NINR NIH HHS T32 NR013456
6 · The paper itself

Abstract

backgroundThe patient-generated index (PGI) is an individualized measure of health-related quality of life. Previous work testing the PGI in the oncology setting identified threats to content validity due to navigational and computational completion errors using the paper format.

objectiveThe purpose of this pilot study was to refine and evaluate the usability and acceptability of an electronic PGI (ePGI) prototype in the outpatient radiation oncology setting.

methodsThis pilot study used adaptive agile web design, cognitive interview, and survey methods.

resultsThree iterations of testing and refining the ePGI were required. Fifteen patients completed the refined ePGI using touch screen tablets with little or no coaching required. Nearly all participants rated the ePGI as "easy" or "very" easy to use, understand, and navigate. Up to one half stated they did not share this type of information with their clinician but felt the information on the ePGI would be useful to discuss when making decisions about their care. Eight clinicians participated, all of whom felt the ePGI was a useful tool to initiate dialogue about quality of life issues, reveal infrequent or unusual effects of treatment, and assist with symptom management. DISCUSSION: The pilot study indicates the ePGI may be useful for use at the point of care. Larger studies are needed to explore the influence it may have in decision-making and restructuring patient/provider communication.

Indexed as

Electronic Health RecordsQuality of LifeAgedAmbulatory CareFemaleHumansMaleMiddle AgedNeoplasmsPatient Generated Health DataPilot ProjectsReproducibility of Results

Identifiers

PMID31688339
PMCPMC10004094

What OpenQuestion holds

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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.