NOVEMBER - DECEMBER 2021 - Volume CXII

Effectiveness of Virtual Teaching on Knowledge Regarding Electrocardiogram Interpretation among Undergraduate Nursing Students

Research Article

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ABSTRACT


A nurse's ability to interpret an electrocardiogram (ECG) rhythm quickly and accurately is vital for good clinical outcome among critically ill patients. Improved knowledge of ECG interpretation will allow nurses to initiate appropriate interventions, which will save lives and improve the quality of healthcare delivery. COVID-19 pandemic has changed the mode of teaching and online teaching will be a norm in future. This study aimed to assess the effectiveness of virtual training programme on knowledge of ECG interpretation among nursing students. The 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. Structured knowledge questionnaire containing 30 items was prepared in Google Forms for data collection. Virtual training was carried out through Zoom online platform. Online pre-test through Google form was carried out followed by virtual training and post test was conducted on day 7 after the training. Majority of students belonged to the age group of 19-21 years (84%). Pre-test revealed that 5 percent of nursing students had good ECG knowledge followed by 58 percent had average and 38 percent with poor knowledge Whereas in the post-test 29 percent had good knowledge, 63 percent had average and only 8 percent had poor knowledge. Virtual training signi__ampersandsignAgrave; cantly improved ( 0.05) the mean post-test knowledge score (16.89± 5.27) as compared to mean pretest knowledge score (12.78±4.34). Further, there was no ssignificant association between pre-test knowledge score and demographic variables. The 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, improved interpretation of electrocardiogram will help improve the quality of health care delivery among critically ill and cardiac patients.

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