Nurses competencies in Electrocardiogram interpretation: A cross-sectional survey

被引:0
|
作者
Alkhalaileh, Murad [1 ]
Mohideen, Mathar [1 ]
机构
[1] Univ Tabuk, Fac Appl Med Sci, Nursing Dept, Tabuk, Saudi Arabia
来源
BIOSCIENCE RESEARCH | 2022年 / 19卷 / 02期
关键词
Competencies; Electrocardiography; Interpretation; Knowledge; Nurses; EMERGENCY NURSES; KNOWLEDGE; 12-LEAD;
D O I
暂无
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Knowledge of ECG principles and being competent in ECG interpretation are prerequisites for nurses. Registered nurses frequently report misunderstanding and ambiguity due to their lack of knowledge related to electrocardiography interpretation. The main purpose of this study is to identify the nurses' competencies in ECG interpretation. Cross-sectional survey was conducted and the data was collected from January 2020 to August 2020. A convenience sample of 110 nurses was used. Electrocardiography Interpretation Competence Questionnaire was used to collect data. Descriptive and non-parametric inferential statistics were used to describe the sample characteristic and responses and to compare the scores means between groups. Data were analysed using the Statistical Package for Social Science (SPSS) version 22. Fifty percent of participants showed low competency levels in ECG interpretation, the total percentage mean score out of 10 was (6.68, SD 2.26). There was significant differences between groups in term of speciality (H (3) = 16.114 p = .003), no significant difference in ECG competencies scores with regards to gender (U = 975.500, z = -1.193, p= .233) or prior education course (U = 1180. 00, z = -1.690, p = .108). Nurses had insufficient knowledge regarding ECG interpretation, especially on practical aspects. The study's findings have implications for the design of course development for ECG and evaluation methods. This study may help in enhancing nurses' competencies in ECG and will also help provide the appropriate care to the patients in emergency situations.
引用
收藏
页码:874 / 881
页数:8
相关论文
共 50 条
  • [31] Shift work characteristics and burnout among nurses: cross-sectional survey
    Dall'Ora, C.
    Ejebu, O. -Z
    Ball, J.
    Griffiths, P.
    OCCUPATIONAL MEDICINE-OXFORD, 2023, 73 (04): : 199 - 204
  • [32] Professional benefits perception among pediatric nurses: a cross-sectional survey
    Wang, Jia
    Wang, Hui
    Chen, Xiuli
    Sheng, Yu
    FRONTIERS IN PEDIATRICS, 2025, 13
  • [33] Nurses' Use of mHealth Apps for Chronic Conditions: Cross-Sectional Survey
    Shiyab, Wa'ed
    Rolls, Kaye
    Ferguson, Caleb
    Halcomb, Elizabeth
    JMIR NURSING, 2024, 7
  • [34] A cross-sectional study on workplace experience: a survey of nurses in Quebec, Canada
    Marie-Annick Gagné
    Carl-Ardy Dubois
    Alexandre Prud’Homme
    Roxane Borgès Da Silva
    Human Resources for Health, 17
  • [35] Surviving the employment gap: a cross-sectional survey of internationally educated nurses
    Covell, Christine L.
    Adhikari, Anu
    Salami, Bukola
    INTERNATIONAL NURSING REVIEW, 2022, 69 (02) : 167 - 174
  • [36] Nurses' perception of risk factors for infusion phlebitis:A cross-sectional survey
    Xiang-Feng Li
    Wei Liu
    Ying Qin
    Frontiers of Nursing, 2016, 3 (01) : 37 - 40
  • [37] Job Satisfaction of Nurses in a Regional Hospital in Oman: A Cross-Sectional Survey
    Al Maqbali, Mohammed Abdullah
    JOURNAL OF NURSING RESEARCH, 2015, 23 (03) : 206 - 216
  • [38] Stressors for emergency department nurses: Insights from a cross-sectional survey
    Alomari, Ali H.
    Collison, James
    Hunt, Leanne
    Wilson, Nathan J.
    JOURNAL OF CLINICAL NURSING, 2021, 30 (7-8) : 975 - 985
  • [39] Genomic Literacy of Registered Nurses and Midwives in Australia: A Cross-Sectional Survey
    Wright, Helen
    Zhao, Lin
    Birks, Melanie
    Mills, Jane
    JOURNAL OF NURSING SCHOLARSHIP, 2019, 51 (01) : 40 - 49
  • [40] A survey of nurses' knowledge, attitudes, and practice of sarcopenia: A cross-sectional study
    Ji, Mengchen
    Hang, Ling
    Wang, Tian
    Luo, Huamin
    Wu, Xinyan
    Gu, Danfeng
    NURSE EDUCATION IN PRACTICE, 2024, 74