Restructuring the Healthcare System to Protect Healthcare Personnel Amidst the COVID-19 Pandemic

COVID-19 infection caused by SARS-CoV2 has been declared a pandemic by the World Health Organization. Reports from China and France have shown that older age is a prognosticator of severity and mortality (1, 2). The number of elderly COVID-19 cases and the increased death rates among them compared to the younger population are surfacing across the world. The odds of hospitalization and the requirement of ICU facilities for the elderly are very high, which further adds burdens to the already compromised system in India where 0.55 beds are available per 1,000 of the population (3). ICU care is also very low, which aggravates the situation (3). Data from other countries have shown that even though 20% of cases are elderly people, they account for 79% of deaths, since associated comorbidities like diabetes, hypertension, respiratory diseases, which are common in the older population, fan the flames (4–6). A model-based analysis from China demonstrated a compelling age gradient in the case of fatality ratio 0.32 in < 60 years vs. 6.4% in >60 years and up to 13.4% in>80. Analogously, the hospitalization rate in infected individuals also upsurges with age (7). A study done from China analyzed data from 27 countries and highlighted age as the most important predictor for the odds of surviving from COVID-19 disease (8). In Wuhan, more than 3,300, and in Italy 4,800, front line medical staff were infected1. In China, out of the total overall deaths, 4.4% were health care workers and the median age was 55 years (9). Likewise in the USA, where 9,282 cases were reported among health workers and the median age was 42 years and 74.5% were female2. In Indonesia, 115 doctors had died because of COVID-19 as of September 2020 (10). The rate of infection among doctors in India is very high in comparison to other countries. As of late September 2020, 2,238 doctors have been infected and around 380 have died due to coronavirus, with 75% of them above the age of 50 years (11, 12). In the UK, mortality was higher among Black and Asian doctors (13). This vulnerability varies across ages and states. Across the world, the majority of the healthcare workforce is above 50 years of age1 and they are at high risk of being infected, owing to their nature of work (14–16).

[1]  K. Shadan,et al.  Available online: , 2012 .

[2]  D. C. Henckel,et al.  Case report. , 1995, Journal.

[3]  M. Yeolekar,et al.  ICU care in India--status and challenges. , 2008, The Journal of the Association of Physicians of India.

[4]  L. Thévenoz A Swiss Perspective , 2013 .

[5]  Jérôme Hugues,et al.  Model‐Based Analysis , 2013 .

[6]  P. Marik,et al.  A Descriptive Study , 2015 .

[7]  IMA , 2019, Springer Reference Medizin.

[8]  Yan Zhao,et al.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. , 2020, JAMA.

[9]  Jean-François Daoust Elderly people and responses to COVID-19 in 27 Countries , 2020, PloS one.

[10]  P. Vanhems,et al.  Potential lethal outbreak of coronavirus disease (COVID-19) among the elderly in retirement homes and long-term facilities, France, March 2020 , 2020, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[11]  Heather Hofmann,et al.  Virtual bedside teaching rounds with patients with COVID‐19 , 2020, Medical education.

[12]  A novel cohorting and isolation strategy for suspected COVID-19 cases during a pandemic , 2020, Journal of Hospital Infection.

[13]  Raju Vaishya,et al.  COVID-19 and mortality in doctors , 2020, Diabetes & Metabolic Syndrome: Clinical Research & Reviews.

[14]  Ting Yu,et al.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study , 2020, The Lancet.

[15]  Organizing a COVID-19 triage unit: a Swiss perspective , 2020, Emerging microbes & infections.

[16]  Eryk Dutkiewicz,et al.  A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part I: Fundamentals and Enabling Technologies , 2020, IEEE Access.

[17]  T. Burki Global shortage of personal protective equipment , 2020, The Lancet Infectious Diseases.

[18]  Age, Frailty, and Comorbidity as Prognostic Factors for Short-Term Outcomes in Patients With Coronavirus Disease 2019 in Geriatric Care , 2020, Journal of the American Medical Directors Association.

[19]  Beng Hoong Poon,et al.  COVID-19 and the Risk to Health Care Workers: A Case Report , 2020, Annals of Internal Medicine.

[20]  A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part I: Fundamentals and Enabling Technologies , 2020, Ieee Access.

[21]  C. Whittaker,et al.  Estimates of the severity of coronavirus disease 2019: a model-based analysis , 2020, The Lancet Infectious Diseases.

[22]  Novel Coronavirus Pneumonia Emergency Response Epidemiol Team [The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China]. , 2020, Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi.

[23]  Sun Huh How to train health personnel to protect themselves from SARS-CoV-2 (novel coronavirus) infection when caring for a patient or suspected case , 2020, Journal of Educational Evaluation for Health Professions.

[24]  Zunyou Wu,et al.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. , 2020, JAMA.

[25]  Mingkun Zhan,et al.  Death from Covid-19 of 23 Health Care Workers in China , 2020, The New England journal of medicine.

[26]  Velayudhan M. Kumar,et al.  Reverse quarantine in Kerala: managing the 2019 novel coronavirus in a state with a relatively large elderly population , 2020, Psychogeriatrics.