Retrospective Chart Analysis of Psychiatry Referrals for Hospitalized COVID-19 Patients in a Dedicated COVID Hospital in a Metropolitan City in India

Abstract

Abstract Background: The COVID-19 pandemic has been associated with multiple psychiatric problems in the general population as well as in those admitted with the infection. Studies done so far have mainly focused on the general population. It is important to address the needs and gaps in mental and psychological aspect of health of patients admitted with the infection to improve their overall prognosis. This study was undertaken with the aim to study the pattern of psychiatric referrals of hospitalized COVID-19 patients and to find out if there is any association between their socio-demographics, severity of COVID-19 infection, inflammatory markers, and co-morbidities. Materials and Methods: A descriptive, retrospective chart analysis of the record of 160 psychiatry referrals for COVID-19 patients seen by the on-call psychiatrist from May 2020 to October 2020 in a tertiary care hospital was undertaken. Sociodemographic data, severity of COVID-19 infection, blood investigation reports, psychiatric symptoms, diagnosis and management were recorded, tabulated, and analyzed using SPSS 20. Results: Referrals were more for individuals having moderate-to-severe COVID-19 infection, in elderly patients and in males. The most common reason for referral was disorientation (27.5%) and insomnia (27.5%), followed by the patient having a preexisting psychiatric illness (15%). The most common psychiatric diagnosis was delirium secondary to general medical condition, (28%), followed by anxiety and depressive spectrum disorders (23.75%). 32.5% of the patients referred had a past history of psychiatric illness, the most common being substance use disorder, followed by major depressive disorder and mixed anxiety depression. With the increase in the age of the individuals, the number of referrals for males was significantly more as compared to females (P = 0.00). No statistically significant association was found between age (P = 0.83), gender (P = 0.99), and psychiatric diagnosis. No significant association was found between the severity of COVID-19 and psychiatric diagnosis (P = 0.69). Conclusion: It is essential to screen for psychiatric disorders in patients admitted for COVID, as it goes a long way in reducing the overall morbidity and improves patient cooperation for various procedures which could be life-saving.