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3.
Emergencias (Sant Vicenç dels Horts) ; 31(1): 43-46, feb. 2019. ilus, graf, tab
Article in Spanish | IBECS | ID: ibc-182436

ABSTRACT

Objetivos: Analizar la eficacia de la realidad virtual (RV) en la formación en reanimación cardiopulmonar (RCP). Método: Estudio experimental, analítico, transversal para analizar el aprendizaje en RCP a través de la RV, en el que los participantes fueron asignados aleatoriamente en grupo control (GC) y grupo RV (GRV). Resultados: La nota del test fue de GRV fue 9,28 (DE 0,91) y el de GC 7,78 (DE 1,63) [diferencia de medias 1,49 (IC95% 0,96-2,02), p < 0,001]. El ritmo medio de las compresiones fue 97,5 (DE 9,7) compresiones/min para el GRV y 80,9 (DE 7,7) compresiones/min para el GC [diferencia de medias 16,6 (IC95% 15,0-18,2), p = 0,003]. La profundidad media fue 34,0 (DE 6,5) mm para el GRV y 27,3 (DE 4,9) mm para el GC [diferencia de medias 6,7 (IC95% 5,77,8), p < 0,001]. Conclusión: La RV es un método de enseñanza de RCP capaz de mejorar los conocimientos teóricos y habilidades prácticas


Objective: To assess the efficacy of virtual reality (VR) in cardiopulmonary resuscitation (CPR) training. Method: Experimental, analytic, cross-sectional study of a CPR training method using VR. Participants were randomly assigned to train in a control group or a VR group. Results: The mean (SD) scores on a scale of 10 after training were 9.28 (0.91) in the VR group and 7.78 (1.63) in the control group, for a mean difference of 1.49 (95% CI, 0.96-2.02; P<.001). The VR group achieved a mean of 97.5 (9.7) compressions/min, versus 80.9 (7.7) compressions/min in the control group, for a mean difference of 16.6 compressions/min (95% CI, 15.0-18.2; P=.003). The mean compression depth in the VR group was 34.0 (6.5) mm, versus 27.9 (4.9) mm in the control group, for a mean difference of 6.7 (95% CI, 5.7-7.8; P<.001). Conclusion: Training with VR can improve CPR theoretical knowledge and practical skills


Subject(s)
Humans , Male , Female , Adult , Cardiopulmonary Resuscitation/education , Simulation Training/methods , Virtual Reality , Clinical Competence , Cross-Sectional Studies
4.
Emergencias ; 31(1): 43-46, 2019 02.
Article in English, Spanish | MEDLINE | ID: mdl-30656873

ABSTRACT

OBJECTIVES: To assess the efficacy of virtual reality (VR) in cardiopulmonary resuscitation (CPR) training. MATERIAL AND METHODS: Experimental, analytic, cross-sectional study of a CPR training method using VR. Participants were randomly assigned to train in a control group or a VR group. RESULTS: The mean (SD) scores on a scale of 10 after training were 9.28 (0.91) in the VR group and 7.78 (1.63) in the control group, for a mean difference of 1.49 (95% CI, 0.96-2.02; P<.001). The VR group achieved a mean of 97.5 (9.7) compressions/min, versus 80.9 (7.7) compressions/min in the control group, for a mean difference of 16.6 compressions/min (95% CI, 15.0-18.2; P=.003). The mean compression depth in the VR group was 34.0 (6.5) mm, versus 27.9 (4.9) mm in the control group, for a mean difference of 6.7 (95% CI, 5.7-7.8; P<.001). CONCLUSION: Training with VR can improve CPR theoretical knowledge and practical skills.


OBJETIVO: Analizar la eficacia de la realidad virtual (RV) en la formación en reanimación cardiopulmonar (RCP). METODO: Estudio experimental, analítico, transversal para analizar el aprendizaje en RCP a través de la RV, en el que los participantes fueron asignados aleatoriamente en grupo control (GC) y grupo RV (GRV). RESULTADOS: La nota del test fue de GRV fue 9,28 (DE 0,91) y el de GC 7,78 (DE 1,63) [diferencia de medias 1,49 (IC95% 0,96-2,02), p < 0,001]. El ritmo medio de las compresiones fue 97,5 (DE 9,7) compresiones/min para el GRV y 80,9 (DE 7,7) compresiones/min para el GC [diferencia de medias 16,6 (IC95% 15,0-18,2), p = 0,003]. La profundidad media fue 34,0 (DE 6,5) mm para el GRV y 27,3 (DE 4,9) mm para el GC [diferencia de medias 6,7 (IC95% 5,7- 7,8), p < 0,001]. CONCLUSIONES: La RV es un método de enseñanza de RCP capaz de mejorar los conocimientos teóricos y habilidades prácticas.


Subject(s)
Cardiopulmonary Resuscitation/education , Simulation Training/methods , Virtual Reality , Adult , Clinical Competence , Cross-Sectional Studies , Female , Humans , Male
5.
Nurse Educ Today ; 71: 48-53, 2018 Dec.
Article in English | MEDLINE | ID: mdl-30241022

ABSTRACT

OBJECTIVES: The main objective of the study is to determine the efficiency in the execution of the START (Simple Triage and Rapid Treatment) triage, comparing Virtual Reality (VR) to Clinical Simulation (CS) in a Mass Casualty Incident (MCI). The secondary objective is to determine the stress produced in the health professionals in the two situations described. MATERIALS: A comparative study on the efficiency and the stress during triage in a MSI was conducted. The basal and post levels of salivary α-amylase (sAA) activity were measured in all the participants before and after the simulation. RESULTS: The percentage of victims that were triaged correctly was 87.65% (SD = 8.3); 88.3% (SD = 9.65) for the Clinical Simulation with Actors (CSA) group and 87.2% (SD = 7.2) for the Virtual Reality Simulation (VRG) group, without any significant differences (p = 0.612) between both groups. The basal sAA was 103.26 (SD = 79.13) U/L with a significant increase (p < 0.001) with respect to the post-simulation levels (182.22, SD = 148.65 U/L). The increase of sAA was 80.70 (SD = 109.67) U/mL, being greater for the CSA group than the VRG group. CONCLUSION: The results show that virtual reality method is as efficient as clinical simulation for training on the execution of basic triage (START model). Also, based on the sAA results, we can attest that clinical simulation creates a more stressful training experience for the student, so that is should not be substituted by the use of virtual reality, although the latter could be used as a complementary activity.


Subject(s)
Mass Casualty Incidents/psychology , Simulation Training/methods , Virtual Reality , Chi-Square Distribution , Computer Simulation/statistics & numerical data , Humans , Mass Casualty Incidents/statistics & numerical data , Simulation Training/statistics & numerical data , Triage/methods , Triage/standards
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