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Effectiveness of virtual training on electrocardiogram interpretation knowledge among undergraduate nursing students in Madhyapradesh, India
Abstract
Competency of nurses to interpret an electrocardiogram (ECG) rhythm quickly and accurately is vital for good clinical outcome among critically ill patients. Accurate knowledge of ECG interpretation allows student nurses to initiate appropriate interventions, which save lives and improves the quality of healthcare delivery. COVID-19 pandemic has changed the mode of teaching and online teaching will be a norm in future.
Aims & ObjectivesTo assess the effectiveness of virtual training programme on knowledge of ECG interpretation among nursing students
Material and MethodsThe research design for the present study was pre-experimental, one group pre-test/post-test design. 100 student nurses were recruited conveniently from the selected nursing colleges of Bhopal, MP. A 30 items structured knowledge questionnaire was distributed through Google Form for data collection. Virtual training was carried out through Zoom online platform. Online pretest was followed by virtual training and post test was conducted on day 7 after the training.
ResultsMajority of students belonged to the age group of 19-21 years (84%). Pre-test revealed that 5% of nursing students had good ECG interpretation knowledge followed by 58% had average and 38% had poor knowledge Whereas; in the post-test 29% had good knowledge, 63% had average and only 8% had poor knowledge. Virtual training improved significantly (p<0.05) the mean post test knowledge score (16.89± 5.27) as compared to mean pretest knowledge score (12.78±4.34). Furthermore, there was no significant association between pre-test knowledge score and demographic variables.
ConclusionThe results indicate that virtual training was effective in enhancing the knowledge on ECG interpretation among nursing students. Since these students will make up the future nursing workforce, correct interpretation of electrocardiogram will help improve the quality of health care delivery among critically ill and cardiac patients.References
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DOI: https://doi.org/10.37628/ijcn.v7i2.1937
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