Evidence map›Paper›PMID 37873823›Full record

ArticleNursing reports (Pavia, Italy)2023

Aggression against Nursing Personnel during the First Wave of COVID-19 Pandemic: An Internet-Based Survey.

Juan Pablo Sánchez-de la Cruz, Alma Delia Genis-Mendoza, María Lilia López-Narváez, Thelma Beatriz González-Castro, Isela Esther Juárez-Rojop, Carlos Alfonso Tovilla-Zárate, Humberto Nicolini

Abstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 2023. 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

7 authors.

Juan Pablo Sánchez-de la CruzDivisión Académica Multidisciplinaria de Comalcalco, Universidad Juárez Autónoma de Tabasco, Comalcalco 86650, Mexico.
Alma Delia Genis-MendozaServicio de Atención Psiquiátrica, Hospital Psiquiátrico Infantil Dr. Juan N. Navarro, Mexico City 14080, Mexico.
María Lilia López-NarváezDivisión Académica Multidisciplinaria de Comalcalco, Universidad Juárez Autónoma de Tabasco, Comalcalco 86650, Mexico.ORCID 0000-0002-7342-5988
Thelma Beatriz González-CastroDivisión Académica Multidisciplinaria de Jalpa de Méndez, Universidad Juárez Autónoma de Tabasco, Jalpa de Méndez 86250, Mexico.ORCID 0000-0001-8046-6908
Isela Esther Juárez-RojopDivisión Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa 86100, Mexico.
Carlos Alfonso Tovilla-ZárateDivisión Académica Multidisciplinaria de Comalcalco, Universidad Juárez Autónoma de Tabasco, Comalcalco 86650, Mexico.ORCID 0000-0001-8170-8171
Humberto NicoliniLaboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica, Mexico City 14610, Mexico.ORCID 0000-0003-2494-0067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: health care workers, particularly nurses, have been regularly assaulted during the COVID-19 pandemic. Purpose: to evaluate the prevalence and location of assaults against nursing personnel in Latin America, and to determine predictor factors for aggression against nurses. (2) Methods: A cross-sectional online survey was answered by 374 nurses working in health care during the COVID-19 pandemic. The aggression against nurses was estimated using the Victimization Scale. (3) Results: A total of 288 nurses were included in this study. The victimization scale showed that 52.1% of nurses have suffered aggression by the general population during the COVID-19 pandemic. Males were more likely to be attacked than females (

Indexed as

aggressionCOVID-19Latin Americavictimization

Identifiers

PMID37873823
PMCPMC10594505

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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.