Accessibility of e-EWSS versus Manual EWSS for Detecting the Emergency Condition among Patients with Coronavirus Disease 2019: A Survey Research on Register Nurse in Indonesia
DOI:
https://doi.org/10.3889/oamjms.2022.8678Keywords:
Early warning scoring system, Electronic early warning scoring system, COVID-19, EmergencyAbstract
BACKGROUND: The early warning scoring system (EWSS) during the coronavirus disease 2019 (COVID-19) pandemic is essential, because it will reduce the risk of organ damage and the death of patients with COVID-19. Health professionals argue that EWSS will be needed in electronic form, because it will be easier to use and quick to identify patient conditions in an emergency situation. There is no study that provides information on the comparison between the use of Electronic EWSS (e-EWSS) and manual EWSS in accessibility among health professionals in a clinical setting.
AIM: The purpose of this study was to analyze the difference of accessibility of e-EWSS versus manual EWSS through survey research on registered nurses in Indonesia.
METHODS: A survey research was designed in this study. A study was conducted from July to November 2021 on 38 nurses at the COVID-19 referral hospital in Mataram city. Data were collected by a questionnaire containing 12 questions related to the accessibility of e-EWSS and manual EWSS in 19 participants on intervention and 19 participants in the control group.
RESULTS: The response to the accessibility of e-EWSS was more positive, namely, 64.5%, while the negative accessibility response was 35.5%. On the other hand, for EWSS, the response to accessibility was more negative, namely, 51.6%, while the response to accessibility was positive as much as 48.4%. The accessibility of emergency examinations of patients with COVID-19 using the e-EWSS was easier than the EWSS with p = 0.000.
CONCLUSION:e-EWSS was easier in accessibility compared to EWSS by convenience, speed, and effectiveness indicators. The computerized system on the e-EWSS was capable of performing calculations automatically about patients’ emergency situations.Downloads
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