1887
Volume 2023, Issue 2
  • ISSN: 1999-7086
  • EISSN: 1999-7094

Abstract

With the advent of the Fédération Internationale de Football Association (FIFA) World Cup 2022 in Qatar, all healthcare systems were gearing up for an influx of patients. The Hamad Medical Corporation Ambulance Service (HMCAS) has also refined its patient supply chain (SC) processes to improve ambulance turnaround times (ATATs) at the emergency departments (EDs). International ambulance services (AS) are complex, and these ambulances are equipped with approximately 500 individual items, which include various types of medical consumables and equipment used during emergencies. By organizing individual medical items into stock units called “pre-packs”, according to the needs of the patients and type of clinical interventions, the inventory or stock-taking time of items stored in ambulances can be significantly reduced. Implementing reduced inventory lists of items and standardized pre-pack storage across the ambulance fleet has significantly improved the efficiency and accuracy of ambulance checking, restocking, and recovery time, improving overall ATAT at the ED.

This study evaluates the staff’s perceived impact of modular pre-pack kits on ambulance restocking processes and ED ATAT.

In this cross-sectional study, a fit-for-purpose survey was designed and distributed to all operational staff at HMCAS. The survey aims to assess HMCAS staff’s opinions about the implemented LEAN pre-pack system. Cronbach’s alpha was calculated to assess the reliability of the survey. The Mann-Whitney U-test was conducted to compare if there was a difference between the group’s opinions. The Shewhart control chart was created to monitor the impact of the implemented intervention on the ATAT at the ED. IBM-SPSS® (Statistical Package for Social Sciences) Version 26 was utilized for data analysis.

A group of 287 employees with different backgrounds participated and completed the survey. The Cronbach’s alpha was equal to 0.739, indicating a satisfactory level of reliability of the Mann-Whitney U-test. The descriptive analysis and the Shewhart chart revealed that most staff found that the pre-pack concept helped improve LEAN restocking processes, access to clinical applications, and ambulance checks. Overall, this concept matched the international benchmarks for turnaround time.

The pre-pack concept promoted easy and quick processing of clinical applications, restocking procedures, and ambulance checks, and this positively impacted the ATAT at the ED. Further, it improved responses to emergency calls and enhanced access to effective care for patients. This approach also simplified the tasks above when many locum staff is employed on a short-term basis to cover mega-events such as the FIFA World Cup.

Loading

Article metrics loading...

/content/journals/10.5339/jemtac.2023.20
2023-07-08
2024-06-23
Loading full text...

Full text loading...

/deliver/fulltext/jemtac/2023/2/jemtac.2023.20.html?itemId=/content/journals/10.5339/jemtac.2023.20&mimeType=html&fmt=ahah

References

  1. O’Cathain A, Knowles E, Bishop-Edwards L, Coster J, Crum A, Jacques R, et al. Understanding variation in ambulance service non-conveyance rates: A mixed methods study. Health Services and Delivery Research. 2018.
    [Google Scholar]
  2. Perona M, Rahman MA, O’Meara P. Paramedic judgement, decision-making and cognitive processing: A review of the literature. Australas J Paramedicine. 2019; 16::1−12.
    [Google Scholar]
  3. Carter AJ, Overton J, Terashima M, Cone DC. Can emergency medical services use turnaround time as a proxy for measuring ambulance offload time? J Emerg Med. 2014; 47:(1):30−5.
    [Google Scholar]
  4. Demir S, Tunçbilek Z, Alinier G. Prehospital emergency health services in Qatar. J Paramed Pract. 2022; 14:(11):456−62.
    [Google Scholar]
  5. Hutton D, Alinier G. Ambulance service operational improvement. Int Paramed Pract. 2013; 3:(3):61−3.
    [Google Scholar]
  6. Alshahrani NZ, Alhashim LA, Almohaishi HA, Alabadi M, Alothman FA, Parker S. FIFA World Cup 2022 in Qatar; health advice and safety issues for travelling attendees. Ann Med Health Sci Res. 2021.
    [Google Scholar]
  7. Alinier G. Through the medical lens: FIFA World Cup Qatar 2022. Int Paramed Pract. 2023; 13:(1):37−38.
    [Google Scholar]
  8. Hardcastle TC, Naidoo M, Samlal S, Naidoo M, Larsen T, Mabasu M, et al. The moses mabhida medical plan: Medical care planning and execution at a FiFA2010 stadium; the Durban experience. Open Access Emerg Med. 2010; 2::91−7.
    [Google Scholar]
  9. HMCAS. Clinical Practice Guidelines. Hamad Medical Corporation Ambulance Service. Qatar: HMCAS; 2021.
    [Google Scholar]
  10. Wilson P, Alinier G, Reimann T, Morris B. Influential factors on urban and rural response times for emergency ambulances in Qatar. Mediterranean J Emerg Med. 2017; 26::8−13.
    [Google Scholar]
  11. Bury G, Barry T. Pre-hospital care in Ireland–innovation needed. Ir Med J. 2019; 112:(10):1014.
    [Google Scholar]
  12. Channouf N, L’Ecuyer P, Ingolfsson A, Avramidis AN. The application of forecasting techniques to modeling emergency medical system calls in Calgary, Alberta. Health Care Manag Sci. 2007; 10:(1):25−45.
    [Google Scholar]
  13. Shah Y, Alinier G, Pillay Y. Clinical handover between paramedics and emergency department staff: SBAR and IMIST-AMBO acronyms. International Paramedic Practice. 2016; 6:(2):37−44.
    [Google Scholar]
  14. Crilly J, Johnston AN, Wallis M, O’Dwyer J, Byrnes J, Scuffham P, et al. Improving emergency department transfer for patients arriving by ambulance: A retrospective observational study. Emerg Med Australas. 2020; 32:(2):271−80.
    [Google Scholar]
  15. Lee YJ, Shin SD, Lee EJ, Cho JS, Cha WC. Emergency department overcrowding and ambulance turnaround time. PLoS ONE. 2015; 10:(6):e0130758.
    [Google Scholar]
  16. Cone DC, Davidson SJ, Nquyen Q. A time-motion study of the emergency medical services turnaround interval. Ann Emerg Med. 1998; 31:(2):241−6.
    [Google Scholar]
  17. Spaite DW, Valenzuela TD, Meislin HW, Criss EA, Hinsberg P. Prospective validation of a new model for evaluating emergency medical services systems by in-field observation of specific time intervals in prehospital care. Ann Emerg Med. 1993; 22:(4):638−45.
    [Google Scholar]
  18. Mackenzie M, Pilbery R. The impact of an ambulance vehicle preparation service on the presence of bacteria: A service evaluation. Br Paramed J. 2019 Mar 1; 3:(4):27−31.
    [Google Scholar]
  19. Matthews E. Modular treatment packs (the emergency ambulance project). 2011.
    [Google Scholar]
  20. Sijtsma K. On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika. 2009; 74:(1):107−20.
    [Google Scholar]
  21. Koetsier A, van der Veer SN, Jager KJ, Peek N, de Keizer NF. Control charts in healthcare quality improvement. A systematic review on adherence to methodological criteria. Methods Inf Med. 2012; 51:(03):189−98.
    [Google Scholar]
  22. Chettri IS, Sharma D. Pre pack optimization: Increasing supply chain efficiency. NJ: Cognizant Technology Solutions. 2008:1−26.
    [Google Scholar]
  23. Rehnmark R. Air dinner-Design of modern and sustainable tableware. Sweden: Chalmers University of Technology; 2013.
    [Google Scholar]
  24. Flomenbaum N. Turning around ambulance Turnaround time. Emerg Med. 2013; 45:(4).
    [Google Scholar]
/content/journals/10.5339/jemtac.2023.20
Loading
/content/journals/10.5339/jemtac.2023.20
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error