Evidence map›Paper›PMID 36287402›Full record

ArticleRevista latino-americana de enfermagem2022

Creation and validation of a high-fidelity simulation scenario for suicide postvention.

Laysa Fernanda Silva Pedrollo, Aline Conceição Silva, Ana Carolina Guidorizzi Zanetti, Kelly Graziani Giacchero Vedana

Abstract read
In one paragraph

Article in Revista latino-americana de enfermagem, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

4 authors.

Laysa Fernanda Silva PedrolloUniversidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0002-0489-7244
Aline Conceição SilvaUniversidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0001-5843-2517
Ana Carolina Guidorizzi ZanettiUniversidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0003-0011-4510
Kelly Graziani Giacchero VedanaUniversidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0001-7363-2429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto create and validate a high-fidelity simulation scenario about the initial support to suicide bereaved people.

methoda methodological research study to create and validate a simulation scenario about postvention. Its creation was based on scientific recommendations, the validation process was carried out by experts, based on an instrument developed by the authors; the data were statistically analyzed using the Content Validity Index and Gwet concordance coefficient.

resultsthe scenario was created to provide initial support to suicide bereaved people in the Primary Health Care context. As learning objectives, welcoming, health care and organization monitoring were proposed according to technical-scientific recommendations. The scenario was validated by 10 specialists in the themes of postvention (5 judges) and high-fidelity simulation (5 judges). The scenario items met the acceptance and reliability criteria (Content Validity Index = 0.80) and satisfactory concordance (Gwet coefficient = 0.640).

conclusionthe study presented in full a scenario on postvention with innovative potential that can be used free of charge in clinical simulation development during training of different categories of health professionals, to act in support of suicide bereaved people.

Indexed as

BereavementHigh Fidelity Simulation TrainingSuicide PreventionHumansReproducibility of Results

Identifiers

PMID36287402
PMCPMC9580988

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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.