Original Articles Open access

Optimizing ambulance nurse performance in southern Tuscany: insights from a Delphi study

Authors

Published
6 November 2024
Section
Original Articles
DOI
10.4081/ecj.2024.12953

Abstract

This study aims to enhance the performance of ambulance nurses in Southern Tuscany through a Delphi method analysis. Conducted from January to December 2022, the research engaged 16 expert participants from a Tuscan health agency. Data on 89 interventions performed by "India" ambulances, which are nurse-led emergency vehicles, were collected. The Delphi method facilitated structured communication among the experts over three rounds, resulting in consensus on nine key intervention proposals. These proposals span areas including staff training, measurement and data collection methods, technologies and materials, and work environments. Key recommendations include prioritizing high-fidelity simulation training, improving data collection for clinical risk, and standardizing equipment across all emergency units. The study highlights the importance of continuous professional development, technological integration, and supportive work environments to optimize the effectiveness of pre-hospital emergency care. These findings provide a practical roadmap for enhancing the competencies and performance of ambulance nurses, ultimately improving patient outcomes in emergency situations.

Keywords

References

  1. Suserud BO. A new profession in the prehospital care field- the ambulance nurse. Nursing in Critical Care 2005;10:269-71. DOI: https://doi.org/10.1111/j.1362-1017.2005.00129.x
  2. Sjölin H, Lindström V, Hult H, et al. What an ambulance nurse needs to know: a content analysis of curricula in the specialist nursing programme in prehospital emergency care. Int Emerg Nurs 2015;23:127-32. DOI: https://doi.org/10.1016/j.ienj.2014.09.002
  3. Sjölin H, Lindström V, Hult H, et al. Common core content in education for nurses in ambulance care in Sweden, Finland, and Belgium. Nurse Educ Pract 2019;38:34-39. DOI: https://doi.org/10.1016/j.nepr.2019.05.017
  4. De Luca W, Kucenti E, Andreucci A, Colamaria N. Infermiere di emergenza territoriale formazione e competenze: analisi concettuale. Scenario 2021;38:33-42. DOI: https://doi.org/10.4081/scenario.2021.464
  5. Imbriaco G, Mostardini M, Erbacci M, et al. Analisi delle competenze infermieristiche nei servizi di emergenza preospedaliera: i risultati di un’indagine multicentrica italiana. Scenario 2010;27:35-42. DOI: https://doi.org/10.4081/scenario.2010.221
  6. Borowicz A, Nadolny K, Bujak K, Cieśla D, et al. Paramedic versus physician-staffed ambulances and prehospital delays in the management of patients with ST-segment elevation myocardial infarction. Cardiol J 2019;17.
  7. Società Italiana Infermieri di Emergenza Territoriale. Linee guida per l'assistenza infermieristica di emergenza. 2021.
  8. Becattini G. Tecniche di gestione e monitoraggio delle performance. Ital J Emerg Care 2016;12:45-56.
  9. Becattini G. La professione infermieristica. È necessaria la specializzazione in EU? Salute e Territorio 2016;210:943-47.
  10. Vecchiato R. The Delphi Method as a Tool for Research. Res J 1990;12:50-67.
  11. Chow KM, Ahmat R, Leung AWY, Chan CWH. Simulation training for emergency nurses: Enhancing skills and performance. J Simul Healthc 2018;13:78-85.
  12. Cinar O, Ak M, Sutcigil L, Congologlu ED, et al. Emergency skills training. Clin Teach 2007;4:33-7.
  13. Cook DA, Hatala R, Brydges R, et al. Technology-enhanced simulation for health professions education: A systematic review and meta-analysis. JAMA 2013;310:987-98.
  14. Okuda Y, Bryson EO, DeMaria S Jr, et al. The utility of simulation in medical education: What is the evidence? Mt Sinai J Med 2009;76:330-43. DOI: https://doi.org/10.1002/msj.20127
  15. Langdalen H, Abrahamsen EB, Sollid SJM, et al. A comparative study on the frequency of simulation-based training and assessment of non-technical skills in the Norwegian ground ambulance services and helicopter emergency medical services. BMC Health Serv Res 2018;18:509. DOI: https://doi.org/10.1186/s12913-018-3325-1
  16. Donabedian A. The quality of care. How can it be assessed? JAMA 1988;260:1743-48. DOI: https://doi.org/10.1001/jama.260.12.1743
  17. Hysong SJ. Meta-analysis: Audit and feedback features impact effectiveness on care quality. Med Care 2009;47:356-63. DOI: https://doi.org/10.1097/MLR.0b013e3181893f6b
  18. Beam TE, Binstock L. Prehospital emergency care. Ann Emerg Med 1989;18:124-29.
  19. Mealer M, Burnham EL, Goode CJ, et al. The prevalence and impact of post-traumatic stress disorder and burnout syndrome in nurses. Depress Anxiety 2012;29:895-902.
  20. Ward MJ, Landman AB, Case K,et al. Implementing healthcare technologies: Assessing the impact on emergency care delivery. J Health Technol 2014;28:144-52.
  21. Ecker H, Lindacher F, Dressen J, et al. Accuracy of automatic geolocalization of smartphone location during emergency calls - A pilot study. Resuscitation 2020;146:5-12. DOI: https://doi.org/10.1016/j.resuscitation.2019.10.030
  22. Carter AJE, Jensen JL, Petrie DA, et al. State of the Evidence for Emergency Medical Services (EMS) Care: The Evolution and Current Methodology of the Prehospital Evidence-Based Practice (PEP) Program. Healthc Policy 2018;14:57-70. DOI: https://doi.org/10.12927/hcpol.2018.25548
  23. Jensen JL, Travers AH. Contemporary evidence-based practice in Canadian emergency medical services: a vision for integrating evidence into clinical and policy decision-making. CJEM 2017;19:220-9. DOI: https://doi.org/10.1017/cem.2016.364
  24. Wilson C, Howell AM, Janes G, Benn J. The role of feedback in emergency ambulance services: a qualitative interview study. BMC Health Serv Res 2022;22:296. DOI: https://doi.org/10.1186/s12913-022-07676-1
  25. Wilson C, Janes G, Lawton R, Benn J. Feedback for emergency ambulance staff: a national review of current practice informed by realist evaluation methodology. Healthcare (Basel) 2023;11:2229. DOI: https://doi.org/10.3390/healthcare11162229

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