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Objectives: To find out the personal, professional, and educational challenges in training by the post-graduate residents of Obstetrics and Gynecology in the three tertiary care hospitals of Peshawar during the Covid-19 Pandemic. Methods: This was a web-based cross-sectional study conducted among the postgraduate residents of Gynecology and Obstetrics in the three main teaching hospitals of Peshawar, from 1st April 2020 to 31st July 2020. A structured survey using Google forms was distributed among 98 postgraduate residents through emails and social media platforms. The challenges faced and their severity was assessed using the Likert Scale. Results were analyzed in Microsoft Excel. Results: Total number of participants was 98, with 99% being female. The mean age was 28.3±1.8 years. Their worst fear was of the family getting infected (86.7%). Their greatest challenge was the inability to practice social distancing due to the nature of their work (85%) amidst a lack of PPEs (51%). Their training suffered due to inadequate opportunities for elective surgeries (78%). Conclusion: Post-graduate residents in Gynaecology/Obstetrics faced substantial personal, professional, and educational challenges while training during the covid-19 pandemic. [ABSTRACT FROM AUTHOR]

Objective: To determine the frequency of various groups of patients undergoing C-section in a tertiary care hospital in Peshawar, using WHO Ten Group ROBSON Classification of C sections. Material and Methods: A descriptive cross-sectional study was conducted in the Department of Obstetrics and Gynaecology, Khyber Teaching Hospital Peshawar from January-March 2019 on patients delivered in the facility. The patients were classified into 10 groups based on WHO Robson's criteria and the C-section rate determined in each group. The data was analyzed in MS excel. Results: Out of the total 1364 deliveries during this period, 330 were by C sections, making the C-section rate 24%. The biggest contributor to the overall C-section rate was Group 5 (38%) followed by Group 2 (15%), Group 4 (12%), and Group 1 (11%). Conclusion: Robson classification is a useful tool to classify and analyze C-section rates. Although the rate of C sections in our setup is not very low, it can be further lowered by devising strategies to curtail sentinel C sections and performing interventions like induction of labor and pre-labor C sections, only if they are evidence-based. [ABSTRACT FROM AUTHOR]