La tunisie Medicale - 2022 ; Vol 100 ( n°06 ) : 462-469
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Summary

Introduction: The COVID-19 pandemic is causing management difficulties in the Tunisian healthcare system inventory management and the supply of Personal Protective Equipment (PPE).
Aim: Calculate the number of PPE needed for MAMI Hospital Ariana (dedicated hospital to COVID patients) to avoid stock-outs.
Methods: This study proposed a calculation method of the PPE needs for the intensive care and pneumology departments. We developed a mathematical formulation of the number of PPE needed according to the number of visits per medical and other teams, their types, the number of patients, and the validity of each type of PPE.
Results: Considering as input data: the number of visits for the different intervening teams (medical, paramedical, worker or other), the capacity of the different services (number of beds), the average length of stay of patients, the validity duration of an equipment and urgent visits, the developed model generates the required number of PPE (especially surgical masks, FFP2 masks, disposables gowns and coveralls). This allows to calculate the number of personal protective equipment (PPE) needed by the Mami hospital’s pharmacy in this period of COVID-19 crisis.
Conclusion: Our configurable application allowed us to calculate PPE requirements for the intensive care and pneumology departments and estimate their use duration.

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Reference
  1. Organisation mondiale de la Santé. (‎2020)‎. Utilisation rationnelle des équipements de protection individuelle (‎EPI)‎ contre la maladie à coronavirus 2019 (‎COVID-19)‎ et éléments à considérer en cas de grave pénurie : orientations provisoires, 6 avril 2020. Organisation mondiale de la Santé. https://apps.who.int/iris/ handle/10665/331765. Licence: CC BY-NC-SA 3.0 IGO
  2. Ben Abdelaziz A, Berkane S, Ben Salem K, et al. Enseignements de la lutte contre la COVID-19 au Grand Maghreb. Cinq leçons pour une meilleure préparation. Tunis Med 2020; 98(8): 589-95.
  3. Ben Abdelaziz A, Berkane S, Ben Salem K, et al. Enseignements de la lutte contre la COVID-19 au Grand Maghreb. Cinq leçons pour une meilleure résilience. Tunis Med 2020; 98 (10): 657-63
  4. Ben Abdelaziz A, Berkane S, Ben Salem K, et al. Enseignements de la lutte contre la COVID-19 au Grand Maghreb. Cinq leçons pour une meilleure riposte. Tunis Med 2020; 98 (12): 879-85.
  5. Personal Protective Equipment (PPE) Burn Rate Calculator. [Last Updated 2021 March 24, cited 2021 March 24] Available from: https://www.cdc.gov/coronavirus/2019-ncov/hcp/ppe-strategy/ burn-calculator.html. .
  6. EMS PPE Supply Estimator. [cited 2021 March 5] Available from https://www.ems.gov/files/EMS_PPE_Supply_Estimator.xlsx
  7. Lum K, Johndrow J, Cardone A, Fuchs B, Cotner C, Jew O, Parikh R, Draugelis M, Luong T, Hanish A, Weissman GE, Terwiesch C, & Volpp K. (2020). Forecasting PPE Consumption during a Pandemic: The Case of Covid-19 [Preprint]. Infectious Diseases (except HIV/AIDS). https://doi.org/10.1101/2020.08.20.20178780
  8. World Health Organization. (‎2020)‎. Rational use of personal protective equipment (‎PPE)‎ for coronavirus disease (‎COVID-19)‎: interim guidance, 19 March 2020. World Health Organization. https://apps. who.int/iris/handle/10665/331498. Licence: CC BY-NC-SA 3.0 IGO.
  9. INEAS – Guide Parcours du Patient Suspect ou Confirmé par le Covid-19- Version Septembre 2020. [Updated 2020 September, cited 2021 March] Available from: https://www.ineas.tn/sites/ default/files/gps_covid-19.pdf
  10. Wang D, Hu B, Hu C, et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA. 2020 Mar 17;323(11):1061- 9. doi: 10.1001/jama.2020.1585. Erratum in: JAMA. 2021 Mar 16;325(11):1113. PMID: 32031570; PMCID: PMC7042881.
  11. Cecconi M, Piovani D, Brunetta E, et al. Early Predictors of Clinical Deterioration in a Cohort of 239 Patients Hospitalized for Covid-19 Infection in Lombardy, Italy. J Clin Med. 2020;9(5):1548. Published 2020 May 20. doi:10.3390/jcm9051548
  12. Little A. Proof for the queuing formula: L= λ W. Operations research, 1961, vol. 9, no 3, p. 383-7.
  13. Vekaria B, Overton C, Wiśniowski A, Ahmad S, Aparicio-Castro A, Curran-Sebastian J, Eddleston J, Hanley NA, House T, Kim J, Olsen W, Pampaka M, Pellis L, Ruiz DP, Schofield J, Shryane N, Elliot MJ. Hospital length of stay for COVID-19 patients: Datadriven methods for forward planning. BMC Infect Dis. 2021 Jul 22;21(1):700. doi: 10.1186/s12879-021-06371-6. PMID: 34294037; PMCID: PMC8295642.
  14. Gilca R, Amini R, Carazo S, Fortin E, Charest H. Comparaison des hospitalisations dues à la COVID-19 pendant la première vague à celles dues à l’influenza pendant les saisons précédentes. Québec : Institut national de santé publique du Québec ; 2020.
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