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All Journal Media Keperawatan Indonesia South East Asia Nursing Research
Bobonera, Teguh Theryana
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Education Health Professions Medicine & Pharmacology Nursing Public Health

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Effects of Early Warning Score (EWS) on outcomes of inpatient services Bobonera, Teguh Theryana; Pohan, Vivi Yosafianti; Mubin, Mohammad Fatkhul; Armiyati, Yunie
South East Asia Nursing Research Vol 4, No 3 (2022)
Publisher : University of Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/seanr.4.3.2022.21-26

Abstract

The decrease in patient morbidity and mortality is influenced by quality inpatient services. Hospitalized patients can be in stable or unstable conditions. There is a phenomenon of patients whose condition is not stable being placed in inpatient, due to the limitations of the intensive care unit. These patients are at risk for worsening clinical conditions that increase morbidity and mortality. One of the efforts to improve quality related to patient safety in hospitals is the application of the Early Warning Score (EWS) including in inpatient installations. An early warning score is one of the assessment parameters in hospital accreditation and quality of care.  The aim of this literature review is to explain effects of early warning score (EWS) on outcomes of inpatient services. This study uses a literature study approach with a descriptive review type. The articles used are international with a range of years from 2011-2021. The databases used are Proquest, PubMed, and the Google Scholar search engine. Implementation of EWS has resulted in higher utilization of the rapid response system but a lower incidence of cardiopulmonary arrest; it is associated with lower mortality rates, and improved patient safety and clinical outcomes. The results obtained that there is a correlation between the EWS value with mortality but not with the length of stay. Research results related to the correlation of EWS with referrals to ICU/HCU and activation of code blue cannot be analyzed so that in the future a larger number of samples and case variations are needed. A clinical flow can be created in advance so that good patient management can be carried out if the EWS score is higher. An early Warning Score (EWS) can be used to predict the patient outcome which is an indicator of inpatient services.
Application of early warning system (EWS) in patients with cardiovascular disorders : a descriptive study Bobonera, Teguh Theryana; Mubin, Mohammad Fatkhul; Pohan, Vivi Yosafianti; Soesanto, Edy; Astuti, Rahayu
Media Keperawatan Indonesia Vol 7, No 1 (2024)
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/mki.7.1.2024.31-37

Abstract

Incidents of clients experiencing sudden cardiac arrest in the inpatient setting or unexpected and unavoidable deaths in the inpatient setting are common. One of the efforts to improve quality related to patient safety in hospitals is the application of the Early Warning System (EWS) to clinical changes in patients in hospital inpatient installations. The purpose of this study was to describe the application of EWS in clients with cardiovascular system disorders, including the risk of seriousness, respiratory rate, oxygen saturation, use of oxygen supplements, systolic blood pressure, pulse frequency, level of consciousness, and body temperature. This study is an observational descriptive study with a cross-sectional approach. The number of respondents was 48 people, namely clients who were treated with diseases of the cardiovascular system. Data analysis using descriptive analysis. The characteristics of respondents obtained in this study showed that the majority of respondents were female (54.2%), the majority of medical diagnoses were congestive heart failure, which was 43.75%, and the average length of stay was 4.63 days. Most of the patient's risk of seriousness was in the moderate category, namely 22 respondents (45.8%). Assessment of clients with cardiovascular system disorders with EWS in this study can predict the level of patient care so that preventive measures can be taken. Recommendations for future research are research on predicting patient mortality using EWS.
Co-Authors Edy Soesanto Mohammad Fatkhul Mubin, Mohammad Fatkhul Rahayu Astuti Vivi Yosafianti Pohan Yunie Armiyati