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dc.contributor.authorHernández-Padilla J.M.
dc.contributor.authorGranero-Molina J.
dc.contributor.authorMárquez-Hernández V.V.
dc.contributor.authorSuthers F.
dc.contributor.authorLópez-Entrambasaguas O.M.
dc.contributor.authorFernández-Sola C.
dc.date.accessioned2020-09-02T22:20:04Z
dc.date.available2020-09-02T22:20:04Z
dc.date.issued2017
dc.identifier10.1177/1474515116687444
dc.identifier.citation16, 5, 425-434
dc.identifier.issn14745151
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4863
dc.descriptionBackground: Rapid and accurate interpretation of cardiac arrhythmias by nurses has been linked with safe practice and positive patient outcomes. Although training in electrocardiogram rhythm recognition is part of most undergraduate nursing programmes, research continues to suggest that nurses and nursing students lack competence in recognising cardiac rhythms. In order to promote patient safety, nursing educators must develop valid and reliable assessment tools that allow the rigorous assessment of this competence before nursing students are allowed to practise without supervision. Aim: The aim of this study was to develop and psychometrically evaluate a toolkit to holistically assess competence in electrocardiogram rhythm recognition. Methods: Following a convenience sampling technique, 293 nursing students from a nursing faculty in a Spanish university were recruited for the study. The following three instruments were developed and psychometrically tested: an electrocardiogram knowledge assessment tool (ECG-KAT), an electrocardiogram skills assessment tool (ECG-SAT) and an electrocardiogram self-efficacy assessment tool (ECG-SES). Reliability and validity (content, criterion and construct) of these tools were meticulously examined. Results: A high Cronbach's alpha coefficient demonstrated the excellent reliability of the instruments (ECG-KAT=0.89; ECG-SAT=0.93; ECG-SES=0.98). An excellent context validity index (scales' average content validity index>0.94) and very good criterion validity were evidenced for all the tools. Regarding construct validity, principal component analysis revealed that all items comprising the instruments contributed to measure knowledge, skills or self-efficacy in electrocardiogram rhythm recognition. Moreover, known-groups analysis showed the tools' ability to detect expected differences in competence between groups with different training experiences. Conclusion: The three-instrument toolkit developed showed excellent psychometric properties for measuring competence in electrocardiogram rhythm recognition. © European Society of Cardiology.
dc.language.isoen
dc.publisherSAGE Publications Inc.
dc.subjectcardiac arrhythmias
dc.subjectCompetence assessment
dc.subjectknowledge
dc.subjectnursing students
dc.subjectself-efficacy
dc.subjectskills
dc.subjectadult
dc.subjectArticle
dc.subjectassessment of humans
dc.subjectconstruct validity
dc.subjectcontent validity
dc.subjectcross-sectional study
dc.subjectelectrocardiogram knowledge assessment tool
dc.subjectelectrocardiogram self efficacy assessment tool
dc.subjectelectrocardiogram skills assessment tool
dc.subjectelectrocardiography
dc.subjectfemale
dc.subjecthuman
dc.subjectmale
dc.subjectnursing competence
dc.subjectobservational study
dc.subjectprincipal component analysis
dc.subjectpriority journal
dc.subjectpsychometry
dc.subjectquestionnaire
dc.subjectreliability
dc.subjectyoung adult
dc.subjectclinical competence
dc.subjecteducation
dc.subjectelectrocardiography
dc.subjectheart arrhythmia
dc.subjectmiddle aged
dc.subjectreproducibility
dc.subjectSpain
dc.subjectstandards
dc.subjectsymptom assessment
dc.subjectvalidation study
dc.subjectAdult
dc.subjectArrhythmias, Cardiac
dc.subjectClinical Competence
dc.subjectEducational Measurement
dc.subjectElectrocardiography
dc.subjectFemale
dc.subjectHumans
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectReproducibility of Results
dc.subjectSpain
dc.subjectSurveys and Questionnaires
dc.subjectSymptom Assessment
dc.titleDesign and validation of a three-instrument toolkit for the assessment of competence in electrocardiogram rhythm recognition
dc.typeArticle


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