@article{Akhunzada_Laghari_Rasheed_Abbas_Hameed_Ayub_Mughal_2023, title={Tele-Psychiatry during COVID-19 at HMC Peshawar}, volume={22}, url={http://ojs.lumhs.edu.pk/index.php/jlumhs/article/view/796}, abstractNote={<p><strong>Objective</strong><strong>: </strong>The main objectives of the current study were to find out the frequencies of Psychiatric disorders in the general population during COVID-19 and to compare the gender-based association between newly diagnosed patients during COVID-19 with already existing psychiatric patients in Peshawar to provide patient care on priority bases.</p> <p><strong>Methodology</strong><strong>: </strong>This Cross-sectional design study was carried out in the Department of Psychiatry and Behavioral Sciences, HMC/MTI, from May to August 2020. Those patients who approached psychiatry OPD through video/audio online calls and could understand and respond to suggestions were included. The bio-data was collected, and DSM-5 criteria were used for diagnosis. Descriptive statistics were used for statistical significance, and the statistical package of social sciences (SPSS-21) was used for analysis and results.</p> <p><strong>Results</strong><strong>:</strong> The results findings of the current study revealed that 59.3% of the patients approached for telepsychiatry consultation were from the district of Peshawar. Among them, 54% were female, and most patients were young married females (50.7%) with no job outside the home. The finding further revealed that most of the sample affected by psychiatric illness were uneducated (31.3%) and unemployed (28%). Furthermore, in the present findings, 46% of patients were diagnosed with depression, and 12% had Dissociative disorders.</p> <p><strong>Conclusion</strong><strong>:</strong> It is concluded from the present study that in the Covid-19 Pandemic, primarily females who were married with no job description are more vulnerable to psychiatric illness. Furthermore, during Covid-19 mostly cases were reported with depression and dissociative disorders.</p> <p> </p>}, number={01}, journal={Journal of Liaquat University of Medical & Health Sciences}, author={Akhunzada, Wajid Ali and Laghari, Darya Khan and Rasheed , Hooria and Abbas, Amer and Hameed, Nadia and Ayub, Sara and Mughal, Huma}, year={2023}, month={Mar.}, pages={64–67} }