ABSTRACT
Background: Coronavirus Disease 2019 is an infectious disease caused by SARS-CoV-2 which spreads throughout the world, including Indonesia, and causes quite high anxiety for patients. One way to detect COVID-19 is the RT-PCR method. This method is a must and is applied to preoperative patients in the operating room. The purpose of this study was to determine the level of anxiety in preoperative patients with RT-PCR. swab results. Methods: Correlation Analytic with a Cross-Sectional Approach The population was preoperative patients with an RT-PCR swab procedure in the operating room in July-September 2021. There were 36 respondents with purposive sampling. Anxiety instrument with the Hamilton Rating Scale for Anxiety (HARS). The data were analyzed by using the Spearman Rho test. Results: The results of this study showed that the most dominant level of anxiety experienced was moderate anxiety, with an anxiety level of 30.6%, while the level of severe anxiety reached 13.9%. The Spearman test showed that there was a relationship between the results of the RT-PCR swab and the level of anxiety in preoperative patients, namely a very strong relationship p = 0.000 (p <0.05) and r = 0.594. Conclusion: The implication of the study showed that the results of the RT-PCR swab detection of Covid-19 preoperative patients had the most positive reaction when the patient had delayed surgery and would undergo self-isolation. The anxiety level of preoperative patients was the highest, with most experiencing moderate anxiety due to the delay in surgery, then multiplying leaflets as a tool to provide education on surgical services and management of preoperative surgical precautions before undergoing RT-PCR swabs.
ABSTRACT
Government policies to curb the Covid-19 pandemic have drastically changed the pattern of energy demand worldwide. Closed borders and international travel bans have changed consumption patterns and reduced transport use, thus significantly lowering carbon emissions in several countries, particularly urban areas in the Southeast Asia region. Based on these conditions, the study aimed to analyze carbon dioxide emissions generated by the transportation sector in the Special Region of Yogyakarta during the pandemic. The required data, serving as research objects, included fuel consumption, fuel sales, transportation sector activities, road sections, and road density derived from the Transportation Department’s traffic cameras and BPS-Statistics Indonesia. Google Form was also used to collect information for fuel consumption pattern analysis. The Covid-19 - Google Global Mobility Report was used to map trends of change in the respondents’ activity and mobility. The results showed that, from 2019 to 2020, the fuel consumption decreased by 74 kL/year and the CO2 emissions by 169,865 tons/year. Government policies, including the large-scale social activity restrictions implemented for the first time in the region, have influenced community mobility trends across different categories of places.