Evidence map›Paper›PMID 25514587›Full record

ArticleSimulation in healthcare : journal of the Society for Simulation in Healthcare2015

Development and validation of a virtual human vignette to compare nurses' assessment and intervention choices for pain in critically ill children.

Cynthia M LaFond, Catherine Van Hulle Vincent, Sangyoon Lee, Colleen Corte, Patricia E Hershberger, Andrew Johnson, Chang G Park, Diana J Wilkie

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Simulation in healthcare : journal of the Society for Simulation in Healthcare, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Cynthia M LaFondFrom the College of Nursing, University of Iowa (C.M.L.), Iowa City, IA; Center of Excellence for End-of-Life Transition Research, Department of Biobehavioral Science, College of Nursing, University of Iowa (D.J.W.), Department of Women, Children, & Family Health Science, College of Nursing, University of Illinois at Chicago (C.V.H.V.), Electronic Visualization Laboratory, Computer Science, University of Illinois at Chicago (A.J.), Department of Health Systems Science, College of Nursing, University of Illinois at Chicago (C.C., P.E.H., C.G.P.), Chicago, IL; and Computer Science, Connecticut College (S.L.), New London, CT.
Catherine Van Hulle Vincent
Sangyoon Lee
Colleen Corte
Patricia E Hershberger
Andrew Johnson
Chang G Park
Diana J Wilkie
University of Illinois Chicago · USUniversity of Iowa · US

Funding

Pain and Associated Symptoms: Nurse Research TrainingT32NR011147 · NINR · UNIVERSITY OF IOWA · PI HERR, KEELA A, MCCARTHY, ANN MARIE · 2010 to 2020
$1.9M
NINR NIH HHS T32 NR011147
6 · The paper itself

Abstract

introductionAs virtual experiences are increasingly used in health care training and research, it is important that adequate processes are applied for developing valid scenarios. We describe the development and validation of virtual human (VH) vignettes, computer-generated scenarios with animated patients and clinical information, for a mixed-methods study regarding nurses' assessment and intervention choices for critically ill children's pain.

methodsWe followed the case development and review process for high-fidelity simulation case scenarios, including the use of validated written vignettes and content experts. Forty nurses described their pain assessment and intervention choices for the newly derived VH vignettes and completed a pain questionnaire. Nurses' reports of VH vignette consistency with their professional experience and recognition of VH facial expressions were evaluated to establish face validity. Their pain ratings for the VH and written (questionnaire) vignettes were evaluated for convergent validity. Qualitative content analysis, descriptive statistics, correlations, and paired t tests were used.

resultsMost nurses (68.4%) supported vignette consistency with their professional experience. Facial expression recognition was 98.4%. Smiling children's pain was rated significantly lower than grimacing children in both VH and written vignettes. Pain was rated significantly lower for grimacing children in the VH vignettes than the written vignettes. Virtual human vignette pain ratings were strongly correlated with their written counterparts.

conclusionsThis process was effective for developing VH vignettes that demonstrated good face validity with participants and convergent validity with written vignettes. Virtual human vignettes may be useful in studying the influence of facial actions on nurses' choices for children's pain assessment and treatment.

Indexed as

Computer SimulationChildClinical CompetenceComputer-Assisted InstructionCritical IllnessHealth Knowledge, Attitudes, PracticeHumansInservice TrainingIntensive Care Units, PediatricNursing Staff, HospitalPain ManagementPain MeasurementSocioeconomic FactorsUser-Computer Interface

Identifiers

PMID25514587
PMCPMC4315722
OpenAlexW2313248301

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.