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양진주 ( Yang Jin-Ju ) - 광주보건대학교 간호과
장금성 ( Jang Keum-Seong ) - 전남대학교 간호대학
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Abstract
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Purpose: This study was to develop an algorithm for emergency nursing care of dyspneic patients.
Methods: This methodological study was done through reviews of medical records and literatures, checklists of emergency nursing care for dyspneic patients, interviews with nurses, and experts’ validity.
Results: Firstly, the initial assessment confirmed the identification of airway patency, accessory muscle usage, RR, SpO2, v/s, skin color, and mental status. Immediate emergency care provided oxygen, checked ABG, EKG, and chest X-ray, established a semi-fowler position, maintained IV routes, administered medication orders, and conducted careful monitoring. Secondly, if the patient exhibited SpO2 of less than 90%, the nurse considered the patient’s condition to be aggravated. Thirdly, if the patient showed improvement of more than 90% SpO2, the nurse administered secondary assessment and carried out specific nursing care. However, if the patient continuously showed SpO2 of less than 80%, the nurse assisted the intubation and then executed ventilator therapy.
Conclusions: This study suggests that the algorithm is an effective decision tool and utilizing the algorithm is expected to improve the emergency nursing care for dyspneic patients.
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KeyWords
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알고리즘, 호흡곤란, 응급간호
Dyspnea, Algorithm, Emergency care
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원문 및 링크아웃 정보
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등재저널 정보
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