ABSTRACT
Background and Objectives: The Covid-19 epidemic began in Wuhan, China in the late 2019 and became a global epidemic in March 2020. In this regard, one of the most important indicators of the healthcare systems is the in-hospital mortality rate, which occurs with a time lag of one to two weeks after hospitalization. The aim of this study was to investigate the relative risk of Covid-19 mortality considering this time lag according to the number of daily hospitalizations. Methods: The data included the number of daily hospitalizations and deaths from Covid-19 from 15 May 2020 to 10 February 2021 in Iran, which was obtained from the Github database. A log-linear distributed lag model was used to evaluate the relationship and lag effect between daily hospitalization and relative risk of death. Results: The mean number of daily hospitalizations and deaths were 1342.2 ± 7 731.5 and 190.6 11±118.6 in the study period, respectively. It was found that an increase in the number of daily hospitalizations had a significant relationship with an increase in the relative risk of death on the same day and in the following days. As the number of hospitalizations exceeded 2000 patients per day, the cumulative relative risk of death increased to more than one. Conclusion: The results showed that the number of hospitalizations exceeding 2000 people per day was an alert for the country's healthcare system. Overall, prevention and observance of health protocols in the first level followed by early diagnosis of the disease, improving the hospitals facilities and preparedness of healthcare staff can reduce the relative risk of death in the possible future peaks. © 2021, Iranian Epidemiological Association. All rights reserved.
ABSTRACT
Background: Considering the complications of coronavirus disease 2019 (COVID-19), it is necessary to implement telenursing in order to improve the quality of the healthcare services and ensure the continuity of these healthcare services out of the hospital. Aim: This study aimed to evaluate the effect of telenursing on the self-efficacy of the COVID-19 patients after discharge from the hospital. Method: This clinical trial was conducted on 66 COVID-19 patients in Vasei Hospital, Sabzevar, Iran, in 2021. The participants were divided into intervention and control groups using the random permuted block technique. The required data were collected through a demographic form and the COVID-19 Prevention, Recognition, and Home-Management Self-Efficacy Scale completed online by the participants before and 1 month after the intervention. A telenursing workshop was performed through an online platform to educate the patient in the intervention group for 1 month. Finally, the data were analyzed in SPSS software (version 24) using the independent t-test, paired t-test, Chi-square test, and Fisher's exact test. Results: The mean scores of self-efficacy were estimated at 165.66±15 and 159.69±21 21.73 in the control group before and after routine training, respectively, while they were obtained at 144.24±20.58 and 172.15±13.28 in the experimental group before and after telenursing, which was significantly different (P<0.001). Implications for Practice: It seems that telenursing was effective on the self-efficacy of patients. Accordingly, the nursing team is recommended to use telenursing to improve the self-efficacy of the COVID-19 patients. © 2021 Mashhad University of Medical Sciences. All rights reserved.
ABSTRACT
Background and aim: Mental health of nurses working in Covid-19 wards may be at risk due to special conditions of the workplace and patients. Therefore, the present study was conducted to compare the mental health of nurses working in Covid-19 hospitals with other hospitals.