The unprecedented COVID-19 pandemic spread rapidly and engulfing the entire world, forcing people to stay home, muting the hustle and bustle of modern world with tide of fear for contracting disease and death. This brutal disease has infected millions of people worldwide, many lost their job, world economies have ravaged and many more uncountable consequences. Objective: To assess the psychological distress due to COVID-19 outbreak and to determine contributing factors towards psychological distress. Method: A cross-sectional survey was conducted between 12th May to 20th June 2020 & 1537 valid responses were received. Modified K10 scale was used to assess psychological distress. Binary logistic regression analysis was used to determine extent of relationship between the contributing factors and psychological distress scale by estimating the odds of having significant stress with P ≤ 0.05. Result: A total of 1537 valid responses were obtained. The overall psychological distress score was 19.79 ± .75 which implies mild psychological distress. Analysis of degree of psychological distress revealed 815 (53.0%) with no psychological distress, 385 (25.0%) mild, 194 (12.6%) moderate and 143 respondents (9.3%) had severe degree of psychological distress. Females psychological distress was 1.448 times as compared to male ). The odds of having significant psychological distress for above 60 years as compared to 16-30 years. Shop owner & business man had more stress in compared to professionals (OR 1.176,. As compared to married, the psychological distress was 13.203 times higher among divorcee/separated (0.786-221.787) and 3.629 times higher among unmarried (0.376-35.054). Conclusion: This study showed 39.2% of the subject had psychological distress which is quite high. So, government and other policy makers have to develop strategy to relieve psychological distress among Indian population.

Background The contact tracing and subsequent quarantining of health care workers (HCWs) are essential to minimizing the further transmission of SARS-CoV-2 infection and mitigating the shortage of HCWs during the COVID-19 pandemic situation. Objective This study aimed to assess the yield of contact tracing for COVID-19 cases and the risk stratification of HCWs who are exposed to these cases. Methods This was an analysis of routine data that were collected for the contact tracing of COVID-19 cases at the All India Institute of Medical Sciences, Bhubaneswar, in Odisha, India. Data from March 19 to August 31, 2020, were considered for this study. COVID-19 cases were admitted patients, outpatients, or HCWs in the hospital. HCWs who were exposed to COVID-19 cases were categorized, per the risk stratification guidelines, as high-risk contacts or low-risk contacts Results During contact tracing, 3411 HCWs were identified as those who were exposed to 360 COVID-19 cases. Of these 360 cases, 269 (74.7%) were either admitted patients or outpatients, and 91 (25.3%) were HCWs. After the risk stratification of the 3411 HCWs, 890 (26.1%) were categorized as high-risk contacts, and 2521 (73.9%) were categorized as low-risk contacts. The COVID-19 test positivity rates of high-risk contacts and low-risk contacts were 3.8% (34/890) and 1.9% (48/2521), respectively. The average number of high-risk contacts was significantly higher when the COVID-19 case was an admitted patient (number of contacts: mean 6.6) rather than when the COVID-19 case was an HCW (number of contacts: mean 4.0) or outpatient (number of contacts: mean 0.2; P=.009). Similarly, the average number of high-risk contacts was higher when the COVID-19 case was admitted in a non–COVID-19 area (number of contacts: mean 15.8) rather than when such cases were admitted in a COVID-19 area (number of contacts: mean 0.27; P<.001). There was a significant decline in the mean number of high-risk contacts over the study period (P=.003). Conclusions Contact tracing and risk stratification were effective and helped to reduce the number of HCWs requiring quarantine. There was also a decline in the number of high-risk contacts during the study period. This indicates the role of the implementation of hospital-based, COVID-19–related infection control strategies. The contact tracing and risk stratification approaches that were designed in this study can also be implemented in other health care settings.

BACKGROUND Contact tracing and subsequent quarantining of Health Care Workers (HCWs) is essential to minimize further transmission of SARS-CoV2 infection. OBJECTIVE In this study, we have reported the yield of contact tracing of COVID-19 cases and risk stratification of HCWs exposed to them. METHODS This is an analysis of routine data collected for contact tracing of COVID-19 cases from 19th March to 31st August 2020 at All India Institute of Medical Sciences, Bhubaneswar, Odisha, India. COVID-19 cases were either admitted patients, out-patients, or HCWs in the hospital. HCWs who were exposed to COVID-19 cases were categorized as per the risk stratification guidelines into high-risk contacts and low-risk contacts RESULTS During contact tracing, 3411 HCWs were identified as exposed to 360 COVID-19 cases. Out of 360, 269 (74.7%) were either admitted or out-patients and 91(26.1%) were HCWs. After risk stratification 890 (26.1%) were categorized as high-risk contacts and 2521 (73.9%) were categorized as low-risk contacts. The test positivity rate of high-risk contact and low-risk contacts were 3.82% and 1.90%, respectively. The average number of high-risk contacts was significantly higher when the COVID-19 case was an admitted patient (6.6) rather than when the COVID-19 case was an HCW (4.0) or outpatient (0.2), p-value = 0.009. Similarly, the average number of high-risk contacts was higher when the COVID-19 case was admitted in non-COVID-19 area (15.8) as compared to COVID-19 area (0.27), p value < 0.001. There was significant decline in mean number of high-risk contacts over the study period. CONCLUSIONS Contact tracing and risk stratification was effective and helped in reducing the number of HCWs going for quarantine. There was also a decline in high-risk contacts during study period suggesting role of implementation of hospital based COVID-19 related infection control strategies. This contact tracing and risk stratification approach designed in the current study can also be implemented in other healthcare settings.

Introduction: Contact tracing and subsequently quarantining of HCWs is essential to minimize further transmission. In this study, we have reported our experience of contact tracing and risk categorization in a tertiary care teaching hospital in Eastern India. Methodology: This is a secondary data analysis of routine data collected from 19th March to 31st August 2020 during the process of contact tracing in a tertiary care teaching hospital in India amongst 3411 health care workers (HCWs). HCWs exposed to COVID-19 infections were categorized as per the risk stratification guidelines and the high risk cases were quarantined for 14 days and tested on 7th day of last contact. The low risk contacts were encouraged to closely monitor their symptoms and allowed to continue work. Results: Out of 3411 contacts 890 (26.1%) were high risk contacts and 2521 (73.9%) were low risk contacts. The test positivity rate of high risk contact was 3.82% and for low risk contact was 1.9%. Number of high risk contacts was more in Non-COVID area (15.84) as compared to COVID area (0.27); p value < 0.001), amongst IPD patients (6.61) as compared to staff (4.02) and OPD (0.22) ; p value = 0.009 and when clustering of cases present (14.35) as compared to isolated cases (8.21); p value < 0.001 Conclusion: The case identification, risk stratification and contact tracing have helped in reducing the number of contacts with due course of time, so preventing the depletion of human resources for continuing health care. The contact tracing approach designed in the current study can also be implemented in other healthcare settings. Key word: COVID-19, contact tracing, health care workers, risk stratification

Tele-information and communication have led a global revolution in solving the scarcity of health care workers. In the vision of health for all, different global leaders have initiated many public health reforms to address the health care needs of citizens, like e-Sanjeevani in India. COVID-19 created an acute shortage of nurses, as well as the rising cost of care and hospital occupancy which are major hurdles to address basic health needs. Telenursing is a novel field that utilizes innovative technologies to offer safe, effective, and ethical care promptly by providing. Telenursing may provide a means to overcome some of the challenges faced by patients by providing easier access to cost-effective care and equitable distribution of health care providers. Globally, telenursing is an emerging and rapidly expanding area for professionals and offers unlimited opportunities for its members.