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2023年埃塞俄比亚亚的斯亚贝巴部分政府医院成人急诊和重症监护病房护士心电图解读的知识、实践及相关因素:一项横断面研究

Knowledge, practice, and factors associated with electrocardiography interpretation among nurses working in adult emergency and critical care units at selected governmental hospitals in Addis Ababa, Ethiopia, 2023: a cross-sectional study.

作者信息

Chamiso Tekalign Markos, Lemessa Jinfessa Feyissa, Jibril Medina

机构信息

Department of Cardiovascular Nursing, School of Nursing St, Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.

Dean at School of Nursing, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.

出版信息

BMC Nurs. 2024 Aug 13;23(1):557. doi: 10.1186/s12912-024-02201-7.

DOI:10.1186/s12912-024-02201-7
PMID:39135036
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11321218/
Abstract

BACKGROUND

Electrocardiography (ECG) is a noninvasive diagnostic method used to examine electrical and muscular cardiac activity. It is usually the first-line diagnostic tool for patients with chest pain. Late recognition of electrocardiography abnormalities can cause in-hospital cardiac arrest, further complicate care, increase the cost of health care, and prolong admission. Hence, the objective of this study was to determine the knowledge, practice, and associated factors of nurses regarding the interpretation of electrocardiography.

METHODS

A cross-sectional study was carried out on 334 nurses working at randomly selected public hospitals from March 06, 2023, to April 05, 2023. Since our study populations were less than the calculated sample size, all nurses who fulfilled the inclusion criteria were included. The collected data were coded and cleaned using EpiData version 4.2 and analysed using Statistical Package for the Social Sciences (SPSS) version 25. Both bivariate and multivariate logistic regression was run to find an association between dependent and independent variables. Odds ratios (ORs) with 95% confidence levels were used to measure the strength of associations.

RESULTS

A total of 334 nurses responded to the survey, yielding a 93% response rate. Only 15.4% and 9% of them had satisfactory knowledge and good practice, respectively. Nurses who had 2-4 years of experience in the current unit were 3.13 times more likely (AOR = 3.13 (1.23, 7.92) to have sufficient knowledge. Nurses working in cardiac care units were 3.45 times more likely to have good practices than those working in intensive care units (AOR = 3.45 (1.02, 13.73)).

CONCLUSION

The study revealed that educational qualifications, in-service training, and current working units were significantly associated with nurses' knowledge and practice of electrocardiography interpretation. The concerned body must provide continuous on-the-job training related to ECG interpretation to all nurses working in adult emergency and critical care unit.

摘要

背景

心电图(ECG)是一种用于检查心脏电活动和肌肉活动的非侵入性诊断方法。它通常是胸痛患者的一线诊断工具。心电图异常的延迟识别可导致院内心脏骤停,使护理进一步复杂化,增加医疗保健成本,并延长住院时间。因此,本研究的目的是确定护士在心电图解读方面的知识、实践及相关因素。

方法

于2023年3月6日至2023年4月5日对在随机选取的公立医院工作的334名护士进行了一项横断面研究。由于我们的研究人群少于计算出的样本量,所有符合纳入标准的护士均被纳入。收集的数据使用EpiData 4.2版本进行编码和清理,并使用社会科学统计软件包(SPSS)25版本进行分析。进行了双变量和多变量逻辑回归分析,以找出因变量和自变量之间的关联。使用95%置信水平的比值比(OR)来衡量关联强度。

结果

共有334名护士对调查做出回应,回复率为93%。其中分别只有15.4%和9%的护士具备令人满意的知识和良好的实践能力。在当前科室有2至4年工作经验的护士具备足够知识的可能性是其他护士的3.13倍(调整后比值比[AOR]=3.13[1.23,7.92])。在心脏护理病房工作的护士有良好实践能力的可能性是在重症监护病房工作的护士的3.45倍(AOR=3.45[1.02,13.73])。

结论

该研究表明,学历、在职培训和当前工作科室与护士的心电图解读知识和实践能力显著相关。相关机构必须为在成人急诊科和重症监护病房工作的所有护士提供与心电图解读相关的持续在职培训。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6915/11321218/08fe327535e8/12912_2024_2201_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6915/11321218/e7762bf2d458/12912_2024_2201_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6915/11321218/e65e0820ef97/12912_2024_2201_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6915/11321218/08fe327535e8/12912_2024_2201_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6915/11321218/e7762bf2d458/12912_2024_2201_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6915/11321218/e65e0820ef97/12912_2024_2201_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6915/11321218/08fe327535e8/12912_2024_2201_Fig3_HTML.jpg

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