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The COVID-19 pandemic has created a defining situation globally, and the outpatient services were also affected due to the closure of many healthcare facilities. The study was conducted to know the spectrum of the population availing teleconsultation and their needs for consultation. A cross-sectional study conducted in AIIMS Bhubaneswar, India, from May 2021 to June 2021in which the beneficiaries availing of the COVID-19 teleconsultation service were taken as study was participants and a total of 423 participants participated in the study. The proportion of participants who availed of the services in the age group 20-39 years was 67.8%. The participants from the urban area were 81%. Very few or almost nil participation were observed in the category of semiskilled, unskilled, and unemployed occupations. The reasons for availing of teleconsultation services were, for the treatment of COVID-19 disease (45%), distressed consultation for the medication (21%), and seeking advice for testing (13%), related to COVID-19 vaccination (6%) and 9% consulted to know the prognosis of the disease. Steps should be taken to expand the teleconsultation services to the underserved rural community and the people with lower educational status.
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Introduction: Mortality from coronavirus disease 2019 (COVID-19) pandemic has left footprints across all ages and socio-economic strata. The deaths because of COVID-19 are usually multi-factorial. The study aimed to assess the health system factors related to COVID-19-related deaths. Materials and Methods: A hospital-based retrospective study was conducted at a tertiary care hospital of eastern India. A total of 272 COVID-19 deaths that occurred between April and November 2020 were investigated. Data were extracted from Medical Record Department, and telephonic interviews were conducted to assess the different delays related to death. Data were analysed using Statistical Package for Social Sciences. Travel time, travel distance, delay in testing, and delay in receiving quality care were presented as median with inter-quartile range. Results: Complete information could be collected from 243 COVID deaths of the 272 deaths (89.3%). The duration of hospital stay was 1-7 days for 42% of the deceased. The median travel time was 120 min, and the median distance travelled was 60 km. The median time to receive first attention of health care workers was 10 minutes. There was hardly any delay in reporting of test results, whereas the median time from symptoms to test and the median time from symptoms to admission were 4 days each. Conclusion: Health system factors related to death of COVID-19 need to be addressed to avoid the avoidable deaths during the pandemic situation. The resilience of the health system can be helpful in reducing death toll in a low-resource country like India.
RESUMEN
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.