Nursing students' diagnostic accuracy using a computer-based clinical scenario simulation

Freire, Vanessa E.C. Sousa; Lopes, Marcos Venícios de Oliveira; Keenan, Gail M.; Lopez, Karen V. Dunn

doi:10.1016/j.nedt.2018.10.001

Cited by 9 publications

(12 citation statements)

References 16 publications

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“…É crucial entender como os estudantes de Enfermagem utilizam os fatores relacionados para identificar os DEs, uma vez que a acurácia diagnóstica se baseia na capacidade de conectar esses fatores para melhor representar a condição atual do paciente (26) .…”

Section: Discussionunclassified

Efeito de guia para raciocínio clínico na acurácia diagnóstica de estudantes de enfermagem: ensaio clínico

Maurício

Cruz

Barros

et al. 2022

Rev. Latino-Am. Enfermagem

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Resumo Objetivo avaliar o efeito do Guia Autoinstrucional para Raciocínio Clínico na acurácia diagnóstica de estudantes de Bacharelado em Enfermagem. Método ensaio clínico randomizado, paralelo, duplo cego (pesquisadores e avaliadores dos desfechos), realizado com graduandos de Enfermagem. Aplicaram-se, em duas fases, estudos de caso validados para a identificação de diagnóstico de enfermagem/problema do paciente, etiologia e pistas, sendo utilizado o Guia com o grupo intervenção na segunda fase. Os desfechos - acurácia diagnóstica, etiológica e número de pistas - foram avaliados por meio de rubricas validadas. Para análise, utilizou-se estatística descritiva para dados demográficos; teste exato de Fisher para similaridades na educação prévia e confiança; teste de Mann-Whitney para idade; teste ANOVA não paramétrico na avaliação da hipótese de diferenças no desempenho. Resultados amostra final composta por 24 estudantes no grupo controle e 27 no intervenção; sem diferença quanto ao sexo, idade e educação. Houve diferença para acurácia diagnóstica (p=0,041) e etiológica (p=0,0351) no grupo intervenção, mostrando efeito negativo da utilização do Guia. Conclusão a autoinstrução implementada uma única vez não foi efetiva em impactar a acurácia diagnóstica de estudantes solucionando estudos de caso. A aplicação repetida do Guia como ferramenta didática pode ser efetiva para melhorar tal desfecho. REBEC: RBR-4bhr78.

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Section: Discussionunclassified

Efeito de guia para raciocínio clínico na acurácia diagnóstica de estudantes de enfermagem: ensaio clínico

Maurício

Cruz

Barros

et al. 2022

Rev. Latino-Am. Enfermagem

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“…The CDSS applied to nursing education also enables the development of cognitive skills, such as clinical rationale, problem solving, and decision making in nursing. As positively assessed by studies, students are satisfied with the use of simulated clinical scenarios and consider them useful for their development in clinical practice (Nunes et al, 2020;Sousa, Lopes, Keenan, & Dunn, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…In another study (Sousa et al, 2018), the accuracy of NDs identified by 130 nursing students, whether beginners, seniors, or post-graduates, was compared by using 13 scenarios with diagnostic practices presented by means of software. The accuracy was determined in accordance with the number of correct answers for each scenario.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the Accuracy of Nursing Diagnoses Determined by Users of a Clinical Decision Support System

Diogo

Gengo

Butcher

et al. 2021

J of Nursing Scholarship

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Purpose To analyze the accuracy of nursing diagnoses determined by users of a clinical decision support system (CDSS) and to identify the predictive factors of high/moderate diagnostic accuracy. Methods This is an exploratory‐descriptive study carried out from September 2017 to January 2018. Participants were nurses, resident nurses, and senior year undergraduates. Two written case studies provided the participants with the clinical data to fill out the assessment forms in the CDSS. The accuracy of the selected diagnostic labels was determined by a panel of experts using the Diagnostic Accuracy Scale, Version 2. Descriptive statistics were used to describe the level of accuracy according to each group of participants. Analysis of variance was used to compare the mean percentages of accuracy categories across groups. A linear regression model was used to identify the predictors of diagnostic accuracy. The significance level was 5%. The study was approved by the Ethics Committee. Results Fifteen undergraduates, 10 residents, and 22 nurses were enrolled in the study. Although resident nurses and students had selected predominantly highly accurate diagnoses (51.8 ± 19.1 and 48.9 ± 27.4, respectively), and nurses had selected mostly diagnoses of moderate accuracy (54.7 ± 14.7), there were no differences in the accuracy level of selected diagnoses across groups. According to the linear regression model, each diagnosis added by the participants decreased the diagnostic accuracy by 2.09% (p = .030), and no experience or a low level of experience using the system decreased such diagnostic accuracy by 5.41% (p = .022). Conclusions The CDSS contributes to decision making about diagnoses of less experienced people. Adding diagnoses not indicated by the CDSS and experience with the system are predictors of diagnostic accuracy. Clinical Relevance In‐service education regarding the use of CDSSs seems to be crucial to improve users’ clinical judgment and decision making.

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“…These skills can be learned, developed through teaching, and then applied in clinical practice. 11,12 In many countries, efforts have been made by governments, health educators, and health managers to achieve high-quality education standards for skill transfer in clinical practice, fidelity to safety standards, and improvement of patient outcomes. Some governmental policies (eg, Spain, 2010; the Netherlands, 2015) have made implementation of standardized nursing terminologies in health records mandatory.…”

mentioning

confidence: 99%

Nursing Diagnosis Accuracy in Nursing Education

Bertocchi,

Dante,

La Cerra

et al. 2023

CIN: Computers, Informatics, Nursing

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Computer-based technologies have been widely used in nursing education, although the best educational modality to improve documentation and nursing diagnostic accuracy using electronic health records is still under investigation. It is important to address this gap and seek an effective way to address increased accuracy around nursing diagnoses identification. Nursing diagnoses are judgments that represent a synthesis of data collected by the nurse and used to guide interventions and to achieve desirable patients' outcomes. This current investigation is aimed at comparing the nursing diagnostic accuracy, satisfaction, and usability of a computerized system versus a traditional paper-based approach. A total of 66 nursing students solved three validated clinical scenarios using the NANDA-International terminologies traditional paper-based approach and then the computer-based Clinical Decision Support System. Study findings indicated a significantly higher nursing diagnostic accuracy (P < .001) in solving cancer and stroke clinical scenarios, whereas there was no significant difference in acute myocardial infarction scenario. The use of the electronic system increased the number of correct diagnostic indicators (P < .05); however, the level of students' satisfaction was similar. The usability scores highlighted the need to make the electronic documentation systems more user-friendly.

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Nursing students' diagnostic accuracy using a computer-based clinical scenario simulation

Cited by 9 publications

References 16 publications

Efeito de guia para raciocínio clínico na acurácia diagnóstica de estudantes de enfermagem: ensaio clínico

Efeito de guia para raciocínio clínico na acurácia diagnóstica de estudantes de enfermagem: ensaio clínico

Evaluation of the Accuracy of Nursing Diagnoses Determined by Users of a Clinical Decision Support System

Nursing Diagnosis Accuracy in Nursing Education

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