William Oakley, Sankalp Tandle, Zane Perkins, Max Marsden
Predicting blood transfusion following traumatic injury using machine learning models: A systematic review and narrative synthesis
The journal of trauma and acute care surgery
study aimed assess proficiency nurses interpreting electrocardiogram within adult emergency units addis ababa ethiopia year 2021 institutionalbased descriptive crosssectional study involved 175 nurses five randomly selected hospitals adult emergency units semistructured selfadministered questionnaires used data collection data entered epidata analyzed using spss version 26 fishers exact test identified statistical significance dependent independent variables pvalue 005 203 respondents 175 participated actively yielding response rate 862 among nurses 159 909 deemed competent scoring 65 mean score 682 365 sd patient public contribution included study overall competency level electrocardiogram interpretation among nurses significantly poor indicates nurses emergency units unable accurately interpret ecg monitoring potentially leading failure recognize signs arrhythmias electrolyte disturbances cardiac abnormalities consequently may result inappropriate patient care increased mortality rates education training identified key factors enhancing competency