Evidence map›Paper›PMID 34983509›Full record

ArticleBMC nursing2022

Virtual patient simulation to improve nurses' relational skills in a continuing education context: a convergent mixed methods study.

Geneviève Rouleau, Marie-Pierre Gagnon, José Côté, Lauralie Richard, Gabrielle Chicoine, Jérôme Pelletier

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  3. Review
  4. Observational
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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

6 authors at 5 institutions in 2 countries.

Geneviève RouleauFaculty of Nursing, Université Laval, Pavillon Ferdinand-Vandry, 1050 De la Médecine Ave., Québec City, QC, G1V 0A6, Canada. genevieve.rouleau.chum@ssss.gouv.qc.ca.ORCID http://orcid.org/0000-0003-1093-6577
Marie-Pierre GagnonFaculty of Nursing, Université Laval, Pavillon Ferdinand-Vandry, 1050 De la Médecine Ave., Québec City, QC, G1V 0A6, Canada.
José CôtéResearch Chair in Innovative Nursing Practices, 850 St-Denis St., Tour S, Montréal, QC, H2X0A9, Canada.
Lauralie RichardFaculty of Nursing, Université de Montréal, 2375 Côte Ste-Catherine Rd., Pavillon Marguerite d'Youville, Montréal, QC, H3T 1A8, Canada.
Gabrielle ChicoineResearch Chair in Innovative Nursing Practices, 850 St-Denis St., Tour S, Montréal, QC, H2X0A9, Canada.
Jérôme PelletierFaculty of Nursing, Université Laval, Pavillon Ferdinand-Vandry, 1050 De la Médecine Ave., Québec City, QC, G1V 0A6, Canada.
Centre Hospitalier de l’Université de Montréal · CACentre de Santé et de Services Sociaux Cavendish · CAThe Quebec Population Health Research Network · CAUniversité de Montréal · CAUniversité du Québec à Rimouski · CA

Funding

CIHR 144030CIHR 337439
6 · The paper itself

Abstract

backgroundEffective provider-patient communication is crucial to the delivery of high-quality care. Communication roadblock such as righting reflex is widely observed among providers and can lead to relational disengagement. In previous work, nurses felt ill-equipped to communicate effectively with HIV-positive patients to support medication adherence. Providing nurses with continuing education opportunities to improve their relational skills is a major target for optimizing the quality of care. Virtual patient simulation is one promising strategy that needs to be evaluated among graduate nurses. This study aimed to assess the acceptability of a virtual patient simulation to improve nurses' relational skills in a continuing education context.

methodsWe conducted a convergent mixed methods study by combining a quantitative pre-experimental, one-group post-test design and a qualitative exploratory study. We used convenience and snowball sampling approaches to select registered nurses (n = 49) working in Quebec, Canada. Participants completed an online sociodemographic questionnaire, consulted the automated virtual patient simulation (informed by motivational interviewing), and filled out an online post-test survey. Descriptive statistics (mean, SD, median, interquartile range) were used to present quantitative findings. From the 27 participants who completed the simulation and post-test survey, five participated in a focus group to explore their learning experience. The discussion transcript was subjected to thematic analysis. At the final stage of the study, we used a comparison strategy for the purpose of integrating the quantitative and qualitative results.

resultsNurses perceived the simulation to be highly acceptable. They rated the global system quality and the technology acceptance with high scores. They reported having enjoyed the simulation and recommended other providers use it. Four qualitative themes were identified: motivations to engage in the simulation-based research; learning in a realistic, immersive, and non-judgmental environment; perceived utility of the simulation; and perceived difficulty in engaging in the simulation-based research.

conclusionsThe simulation contributed to knowledge and skills development on motivational interviewing and enhanced nurses' self-confidence in applying relational skills. Simulation holds the potential to change practice, as nurses become more self-reflective and aware of the impact of their relational skills on patient care.

trial registrationISRCTN18243005 , retrospectively registered on July 3 2020.

Indexed as

CommunicationComputer simulationHIVMixed methodMotivational interviewingNursesNursing continuing educationRelational skillsSimulation trainingVirtual patient simulation

Identifiers

PMID34983509
PMCPMC8725454
OpenAlexW4205800678

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.