Early detection of severe maternal morbidity: A retrospective assessment of the role of an Early Warning Score System

2013 ◽  
Vol 54 (2) ◽  
pp. 152-155 ◽  
Author(s):  
Diana M. Austin ◽  
Lynn Sadler ◽  
Claire McLintock ◽  
Colin McArthur ◽  
Vicki Masson ◽  
...  
2021 ◽  
Vol 10 (1) ◽  
pp. 126-134
Author(s):  
Meli Diana ◽  
Dimas Hadi Prayoga ◽  
Dini Prastyo Wijayanti

Background: Hospital service is a process that involves all elements in the hospital including nurses and inpatient rooms or nursing wards. Different inpatient conditions will be treated in separated wards, by the same token patients with unstable conditions are admitted in intensive care units, this procedure aims to reduce the mortality incidence due to sudden cardiac arrest, therefore early detection of patients’ clinical deterioration using the early warning score system performed by the nurse in the nursing wards is required. Objective: This review study is a summary of the early warning system implementation in the nursing wards. Design: The data was obtained from international journal providers Proquest and Ebsco databases. The author accessed unair.remotexs.co website. Review Methods: Narative Review. Results: Early warning score is an effective intervention for emergency detection in patients. Conclusion: Early detection clinical emergency or known as the Early Warning Score System (EWSS) is the application of a scoring system for early detection of patient's condition before a worsening situation occurs. The implementation of this scoring system is necessary due to the high rate of deterioration of patient conditions that requiring immediate management to prevent profound deterioration and its subsequent adverse effect Keywords : Early warning system;nurse care;literatur;review


2020 ◽  
Vol 3 (2) ◽  
pp. 348-356
Author(s):  
Sutikno Sutikno ◽  
Sandu Siyoto ◽  
Byba Melda Suhita

Hospitals are required to always improve the quality of service provided to patients. These challenges have forced the hospital to develop its ability to manifest in various aspects of health care quality responsible. One of them by applying the assessment and early detection in patients kegawatan as well as the critical state of activation becomes very important. Quick and proper response to a nurse against the worsening conditions of patients giving a great impact to the quality of the quality of service provided. The purpose of this research is to analyze the implementation of Early Warning systems (EWSS) Score against AvLOS and trust patients in Inpatient installation at Jombang General Hospitals. The research design was analytic observational with a quantitative approach. Research variables i.e. implementation of EWSS as independent variables. AvLos and trust patients as the dependent variable. The population of this entire research nurses in Inpatient installation at Jombang General Hospitals as much as 135 nurses, patients and families of patients who are being treated in Inpatient installation at Jombang General Hospitals Jombang. Samples taken with the cluster random sampling technique as much as 101 respondents. Data is collected with instruments ceklist and processed in coding, editing, tabulating and scoring as well as tested with logistics regression test. Logistic regression results indicate that partially and simultaneously show that the value of p values < 0.05 so that there were the implementation of Early Warning systems (EWSS) Score against AvLOS and trust of the patient, and the simultaneous influence of 83.2%. The existence of implementation of EWSS in patients with good then early detection and response officers can be done in a proper and effective against the condition and the healing of patients and can shorten the day care patients, so that it can affect the confidence and trust family and patient in receiving health services in the hospital


CHEST Journal ◽  
2020 ◽  
Vol 158 (4) ◽  
pp. A615
Author(s):  
Syed Arsalan Zaidi ◽  
Syed Hussain ◽  
Urvishkumar Pasrija ◽  
Bibhu Koirala ◽  
Fnu Abhishek

2020 ◽  
Vol 105 ◽  
pp. 103410 ◽  
Author(s):  
Li-Heng Fu ◽  
Jessica Schwartz ◽  
Amanda Moy ◽  
Chris Knaplund ◽  
Min-Jeoung Kang ◽  
...  

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Isao Nishijima ◽  
Shouhei Oyadomari ◽  
Shuuto Maedomari ◽  
Risa Toma ◽  
Chisato Igei ◽  
...  

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