Evidence map›Paper›PMID 39449441›Full record

ArticleNursing reports (Pavia, Italy)2024

Adaptation and Validation of the Nursing Attitude Questionnaire in a Spanish Population.

Silvia Solera-Gómez, David Sancho-Cantus, Jesús Privado, Cristina Cunha-Pérez, Amparo Benedito-Monleón, Lucía Inmaculada Llinares-Insa

Abstract read
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Article in Nursing reports (Pavia, Italy), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Silvia Solera-GómezHospital Francisco de Borja, 46701, Valencia, Spain.
David Sancho-CantusDepartment of Nursing, Faculty of Medicine and Health Sciences, Catholic University of Valencia, 46600 Valencia, Spain.ORCID 0000-0002-4911-5058
Jesús PrivadoCampus de Somosaguas, Department of Methodology of Behavioral Sciences, Universidad Complutense de Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain.ORCID 0000-0003-1511-5129
Cristina Cunha-PérezDepartment of Nursing, Faculty of Medicine and Health Sciences, Catholic University of Valencia, 46600 Valencia, Spain.
Amparo Benedito-MonleónFaculty of Psychology, University of Valencia, 46000 Valencia, Spain.ORCID 0000-0002-0591-5504
Lucía Inmaculada Llinares-InsaFaculty of Psychology, University of Valencia, 46000 Valencia, Spain.ORCID 0000-0001-9626-4948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNursing, as an essential component of contemporary healthcare systems, has undergone significant changes in recent decades, resulting in an increase in research across various fields, such as mental health, well-being, and the development of the discipline itself. Currently, gender stereotypes persist, impacting the social image of the profession and influencing the professional identity of nurses and consequently, their work performance and the quality of care provided. Both public and internal perceptions of the profession are critical factors in these dynamics.

objectiveto adapt and validate the Nursing Attitude Questionnaire in a Spanish sample, as it has only been validated in two languages to date.

methodsThis study presents descriptive and validity analyses of several measures utilized, such as Nursing Image (NIS), Medical Empathy (JSE-HP), Professional Values (NPVS) and Communication Skills (HP-CSS).

resultsConfirmatory factor model analyses indicated that a 21-item hierarchical model provided a superior fit (χ

conclusionsThe scale validated in this study exhibited overall good psychometric performance, although certain limitations were identified within the subscales. The established scales represent a novel contribution, providing a valuable tool for the comparison of similar samples.

Indexed as

identitynursingstereotypes

Identifiers

PMID39449441
PMCPMC11503354

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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.