Acta Scientific Medical Sciences (ASMS)(ISSN: 2582-0931)

Research Article Volume 6 Issue 1

Proactive Improvement for Handling Patients with COVID 19 During the Pandemic, in PHC, Riyadh, Saudi Arabia

Medhat Maher Mohamed, Abdelaziz Al Rasheed, Abood Alabood, Azzam Alotaibi, Abuobieda Abdalrouf, Tarek Elsaid, Maha Bassim, Tariq Alhajlah, Sultan AlOtaibi, May Caria Quitan and Mostafa Kofi*

Prince Sultan Military Medical City, Riyadh, KSA

*Corresponding Author: Mostafa Kofi, Professor, Prince Sultan Military Medical City, Riyadh, KSA.

Received: October 21, 2021; Published: December 09, 2021

Abstract

Background: Dealing with the surge of the COVID-19 pandemic patients in the health care facilities needs proper ways to effectively detect the patients with flu symptoms and prevent the transmission of the infection to the other patients and the health care workers in the same time. The fundamental aim of this project is. To improve early detection and management of Covid19 patients during covid19 pandemic

Methods: Intervention: Failure Mode Effect Analysis, (FMEA) was used as a Methodology for improvement starting by Possible risk of transmission of infection during patient movement in Wazarat primary healthcare center

Implemented change concepts in the form of: (1). Reduce unnecessary steps in patients suspected to have covid19. (2). Performing tasks parallel with the main process, (3). Smooth workflow in a step. (4). Eliminate hand-off failure. (5). Replace with a better value steps, based on outcome redesign the work process

Results: Improve Average Pre consultation from 22 minute to 1 minute, Improve Average consultation from 17 to 4 minutes, before swabbing time improved from 7 to 2 minutes, Improved Pharmacy waiting time from 4 to 1, Patient journey improved from 50 to 8 minutes. Outcome results; outbreak infection rate between healthcare professionals Improved overall from 9.8% to 0.5%. Balancing results Overall staff satisfaction Improved from 24% to 85%.

Conclusions: In situations of uncertainties like covid19 pandemic, urgent management of situation and interventions are needed. Proactive quality improvement tool like Failure mode and effect analysis and change management concept is recommended to improve.

Keywords: COVID-19; Visual Triage; Outbreak Infection Rate; FMEA; Pandemic; Swabbing for Covid19

References

  1. Harbi ISA and Gupta SK. “Use of Visual Triage in the Early Identification and Isolation of Acute Respiratory Infection Cases for the Control of Hospital Outbreak/Infection in Reference to Middle East Respiratory Syndrome- Corona Virus (MERS CoV)”. International Journal of Medicine and Public Health1 (2019): 8-12.
  2. Centers for Disease Control and Prevention. “Interim Infection Prevention and Control Recommendations for Hospitalized Patients with Middle East Respiratory Syndrome Coronavirus (MERS-CoV)” (2014).
  3. SH Alfaraj., et al. “Evaluation of visual triage for screening of Middle East respiratory syndrome coronavirus patients”. New Microbes and New Infections 26 (2018): 49-52.
  4. KSA Ministry of Health. “COVID-19 Dashboard Saudi Arabia” (2020).
  5. KSA Ministry of Health. “COVID-19 guidelines, version 2.0” (2020).
  6. The Centers for Disease Control and Prevention (CDC). “Standard Operating Procedure (SOP) for Triage of Suspected COVID-19 Patients in non-US Healthcare Settings: Early Identification and Prevention of Transmission during Triage” (2020).
  7. Key Messages and Actions for COVID-19 Prevention and Control in Schools March 2020 unicef, WHO (2020).
  8. Healthcare Facilities: Managing Operations During the COVID-19 Pandemic Updated June 28, 2020 (2020).
  9. QI Essentials Toolkit: Failure Modes and Effects Analysis (FMEA) Institute for healthcare improvement IHI.

Citation

Citation: May Caria Quitan and Mostafa Kofi., et al. “Proactive Improvement for Handling Patients with COVID 19 During the Pandemic, in PHC, Riyadh, Saudi Arabia". Acta Scientific Medical Sciences 6.1 (2022): 109-118.

Copyright

Copyright: © 2022 May Caria Quitan and Mostafa Kofi., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate30%
Acceptance to publication20-30 days
Impact Factor1.403

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