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Knowledge and practice on electrocardiography interpretation among nurses in emergency and intensive care units of selected public hospitals in Addis Ababa, Ethiopia

Year: 2025

Type: article

Abstract: BACKGROUND: Rapid interpretation of electrocardiography (ECGs) is essential for reducing patient mortality and morbidity associated with heart conditions. Despite its significance, many healthcare providers struggle to achieve proficiency in ECG interpretation. OBJECTIVE: This study assessed nurses' knowledge, practices, and associated factors regarding ECG interpretation in the emergency and intensive care units of selected public hospitals in Addis Ababa, Ethiopia. METHODS: A cross-sectional study was conducted to evaluate nurses' knowledge, practices, and factors related to ECG interpretation in selected public hospitals of emergency and intensive care units in Addis Ababa, Ethiopia. Data were collected using structured, self-administered questionnaires and analyzed using SPSS version 26. Binary logistic regression models were employed to identify associations between the dependent and independent variables. RESULTS: Among 255 of the study participants, only 60 (23.5%) and 69 (27.1%) of them demonstrated good knowledge and practice in ECG strip interpretation, respectively. The most frequently recognized ECG strip was asystole. Factors associated with good knowledge and practice encompassed holding a master's degree, receiving ECG training, and working in intensive care units. CONCLUSION: This study identified the lack of knowledge and practice among nurses in ECG interpretation. The findings highlight the need for training programs and experience-sharing initiatives to enhance nurses' proficiency in ECG interpretation which might ultimately improve patient outcomes.

Source: Therapeutic Advances in Cardiovascular Disease

DOI: 10.1177/17539447251403402

Authors: Marta T/Mariam, Wagari Tuli Nora, Ousman Adal, Lemlem Beza Demisse

Institutions: Addis Ababa University, Bahir Dar University

Language: English

Topic: ECG Monitoring and Analysis

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,650