Evidence map›Paper›PMID 37366710›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

Individual and Contextual Variables as Predictors of MRI-Related Perceived Anxiety.

Margarida N Farinha, Carla S Semedo, António M Diniz, Vasco Herédia

Open access · goldAbstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. 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
2.0field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 8 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

4 authors at 2 institutions in 1 country.

Margarida N FarinhaDepartment of Psychology, School of Social Sciences, University of Évora, 7000-803 Évora, Portugal.ORCID 0000-0001-8439-1413
Carla S SemedoResearch Centre in Education and Psychology (CIEP-UÉ), Department of Psychology, School of Social Sciences, University de Évora, 7000-803 Évora, Portugal.ORCID 0000-0003-1067-1249
António M DinizResearch Centre in Education and Psychology (CIEP-UÉ), Department of Psychology, School of Social Sciences, University de Évora, 7000-803 Évora, Portugal.ORCID 0000-0003-1755-2795
Vasco HerédiaRadiology Department, Hospital do Espírito Santo, EPE, Évora and Affidea-Évora, 9500-370 Évora, Portugal.
University of Évora · PTHospital do Espírito Santo · PT

Funding

Fundação para a Ciência e Tecnologia UIDB/04312/2020
6 · The paper itself

Abstract

backgroundMagnetic resonance imaging (MRI) generates patient anxiety (PA) and, therefore, it is important to understand individual and contextual variables that may cause it. In study one, we explored those anxiety predictors. In study two, we examined the effect of the experience of MRI on PA comparing anxiety pre- to post-MRI.

methodsPA was measured with an anxiety and stress scale in an interview format. Data collection occurred at a public hospital with MRI outpatients aged 18 or older. In study one (

resultsBeing female, having a higher education level (EL), and not receiving information about the examination predicts higher PA after MRI. Patients with prior information have a decrease in PA from pre- to post-MRI. Those who do not have no change in PA. In low-educated patients, PA also decreases and no changes occur in highly educated patients.

conclusionThis study provides health professionals with valuable indicators about patients who are more likely to perceive and express anxiety during MRI.

Indexed as

education levelMRIpatient-centered serviceperceived anxietyradiologystress

Identifiers

PMID37366710
PMCPMC10295692
OpenAlexW4379143852

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.