| Literature DB >> 32537713 |
Kulthe Ramesh Seetharam Bhat1, Marcio Covas Moschovas2, Travis Rogers2, Fikret F Onol2, Cathy Corder2, Shannon Roof2, Chiara Sighinolfi3, Bernardo Rocco3, Vipul R Patel2.
Abstract
Coronavirus (COVID-19) has been a life-changing experience for both individuals and institutions. We describe changes in our practice based on real-time assessment of various national and international trends of COVID-19 and its effectiveness in the management of our resources. Initial risk assessment and peak resource requirement using the COVID-19 Hospital Impact Model for Epidemics (CHIME) and McKinsey models. Strengths, weaknesses, opportunities, and threats (SWOT) analysis of our practice's approach during the pandemic. Based on CHIME the community followed 60% social distancing, the number of expected new patients hospitalized at maximum surge would be 401, with 100 patients requiring ventilator support. In contrast, when the community followed 15% social distancing, the maximum surge of hospitalized new patients would be 1823 and 455 patients would require a ventilator. on April 15, the expected May requirement of ICU beds at peak would be 68, with 61 patients needing ventilators. The estimated surge numbers improved throughout April, and on April 22 the expected ICU bed peak in May would be 11.7, and those requiring ventilator would be 10.5. Simultaneously, within a month, our surgical waitlist grew from 585 to over 723 patients. Our SWOT analysis revealed our internal strengths and inherent weakness, relevant to the pandemic. A graded and a guarded response to this type of situation is crucial in managing patients in a large practice.Entities:
Keywords: COVID-19; Clinical practice; Practice management; SWOT analysis
Mesh:
Year: 2020 PMID: 32537713 PMCID: PMC7293882 DOI: 10.1007/s11701-020-01100-8
Source DB: PubMed Journal: J Robot Surg ISSN: 1863-2483
Fig. 1Trends of new cases in coronavirus in Italy, New York state and Florida as of 30th Apr 2020
Fig. 2Initial risk-assessment CHIME model using different levels of social distancing
Fig. 3McKinsey model COVID surge capacity assessment tool at different time period based on existing admission statistics
Fig. 4Trends in new COVID-19 positive cases at all Adventhealth location in Central Florida
Fig. 5Inventory statistics of all Adventhealth facilities in Central Florida Division during the COVID-19 epidemic shutdown
Fig. 6Number of cases based on NCCN risk stratification each week
COVID-19 Risk stratification for elective surgical procedures
| Morbidty | Weight | International Consensus Score (%) |
|---|---|---|
| Age > 50 | 1 | |
| Cardiac disease | 1 | 97 |
| Diabetes—no organ failure | 1 | 97 |
| With organ failure | 2 | 97 |
| Chronic lung disease | 3 | 97 |
| Heavy smoker | 2 | 83 |
| Liver disease | 1 | |
| CKD | 2 | 97 |
| Immunodeficiency | 3 | 97 |
| Steroid treatment | 1 | 88 |
| Autoimmune disorders | 1 | 83 |
| Ongoing chemotherapy | 2 | 91 |
| Obesity BMI > 35 | 1 | 80 |
Suggested risk stratification: two or < 2 = low risk; 2–4 = intermediate risk (needs icu); > 4 = high risk (no surgery)