ABSTRACT
Objective: The rapidly increasing cases of coronavirus disease 2019 (COVID-19) in Turkey required the reorganization of the health system. The first response to the pandemic in our university hospital was to stop elective surgery on March 30, 2020, minimize outpatient consultations and reduce the number of patients in the wards. To determine the change in the number of patients admitted to our hospital, we examined the data during the pandemic process and compared them with the data of the previous year. Methods: The number of patients admitted to Pamukkale University Orthopedics and Traumatology Outpatient CI inic and Emergency Service for orthopedic and trauma injuries between March 1, 2020 and October 31, 2020 was documented and compared with the data of the same period in 2019. Results: During the pandemic period, the number of emergency and outpatient orthopedics and traumatology admissions decreased significantly by 15% and 42.93% respectively (p<0.001). The highest decrease in outpatient admissions was in April 2020 with 79.29%, and the highest decrease in emergency admissions was in March 2020 with 31.35%. Conclusion: In conclusion, due to fear of getting infected, curfews, and decreased human mobility, there was a dramatic decrease in the number of hospital admissions between March 1, 2020, and October 31, 2020. The COVID-19 pandemic has impacted healthcare in many ways, putting some healthcare systems under great pressure and pushing others beyond their capacity New strategies can be determined to ensure the continuity of health services and to maximize resources.
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Purpose: New viruses have emerged, causing global damage and mass deaths that can spread to international borders, the latest of which is the new coronavirus (COVID-19). After the Second International Congress on Artificial Intelligence in Health, themed "Artificial Intelligence in Health During COVID-19 Pandemic Process" organized online by Izmir Bakircay University and Izmir Provincial Health Directorate with the contributions of the International Association of Artificial Intelligence in Health, a questionnaire was conducted to evaluate the knowledge of the participants about artificial intelligence applications.Material and Methods: This study aimed to evaluate the interest of the congress participants in this field with the questions which form the questionnaire such as the duration of the interest of the participants in the field of artificial intelligence in health, their publication status, the development of studies on artificial intelligence with the COVID-19 pandemic, demographic structures such as age and gender, and educational level. 130 participants answered the questionnaire consisting of 23 questions. Questionnaire responses were analyzed in a statistical setting.Results: We found that 130 people filled out the questionnaire and the majority of the participants were female, with participation from many organizations, but university staff showed more interest. We have seen that the 30-39 age group is more interested in artificial intelligence than the other age groups, but the majority of the participants do not have academic studies in this field. We found that the technical terms related to artificial intelligence were not well known by the participants, and that the number of participants who tended to this field, especially in the recent year, was high. Another important point was that people working in this field stated that they would definitely follow up if scientific activities continued.Conclusion: We know how important congresses, symposiums, courses and other meetings are, especially for scientist candidates, which will be held to raise awareness about the usage areas of artificial intelligence-based health technologies, to develop new communication and work networks by bringing together different disciplines, to create an agenda and to lay the groundwork for new studies, and we think that there is a need for many repetitive activities in this field and that these activities should be continued.
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Objective: During the coronavirus disease 2019 (COVID-19) pandemic, there has been a significant decrease in outpatient visits and hospital admissions. The increased risk of transmission, especially in environments with high contamination such as hospitals, may increase fear, obsession, and anxiety in patients. This study aims to investigate the factors affecting fear, obsession, and anxiety associated with COVID-19 in patients who are admitted to university hospital outpatient clinics. Materials and Methods: This study was conducted from January 2021 to February 2021 at Pamukkale University Hospitals outpatient clinics. Demographic information (age, education, sex, marital status, house sharing, employment, and work schedule) and questions related to COVID-19 (visiting a doctor regularly before the pandemic, positive test results, isolation due to contact, losing a friend/family member because of the disease, and delay/avoidance of medical care because of COVID-19-related concerns) were questioned. Fear of COVID-19 Scale, Obsession with COVID-19 Scale, Coronavirus Anxiety Scale, and Short Form-12 were filled. Results: A total of 535 patients (291 females and 244 males;mean age, 45.59 +/- 16.08 years) participated. The Fear of COVID-19 Scale score was 16.74 +/- 6.60, that of Obsession with COVID-19 Scale was 2.22 +/- 2.74, and that of Coronavirus Anxiety Scale was 0.77 +/- 2.32. Female sex, working from home or flexibly, admission to internal medical sciences, and losing a loved one due to the disease increased COVID-19 fear, obsession, and anxiety (p<0.001). Fear, obsession, and anxiety associated with COVID-19 have negatively affected SF-12 physical and mental scores (p<0.001). Conclusion: The present study suggested that to ensure that treatments can be continued uninterruptedly in patient groups who are at risk in terms of increasing COVID-19 fear, obsession, and anxiety, remote health consultations can be performed.
ABSTRACT
Objective: SARS-CoV-2, emerged in December 2019 in the city of Wuhan in the People's Republic of China affects children as well as all age groups. The aim of the study was to evaluate the clinical features and outcomes of pediatric cases with COVID-19 in the first month of the epidemic in Turkey. Method: This single center cross-sectional study was conducted in University of Health Sciences Dr Behcet Uz Child Diseases and Pediatric Surgery Training and Research Hospital during the period of March 11 - April 20, 2020. Demographic, epidemiological and clinical data were collected from medical records. All patients were confirmed by real time reverse transcription- polymerase chain reaction. Chidren were classified as asymptomatic, mild, moderate, severe, and critically ill patients. Results: In this study, we reported the clinical characteristics of a case series involving 30 chilren with COVID-19 aged from 23 days to 16 years. Twenty-nine (96.7%) patients had confirmed contact with family members for COVID-19. The majority of patients were asymptomatic (50%) or had mild symptoms (26.7%). Fever (46.6%) and cough (33.3%) were the most common symptoms. Conclusion: Our study indicated that COVID 19 in children exhibited less severe symptoms and had better outcomes