Understanding factors of ambulance delay and crash to enhance ambulance efficiency: an integrative literature review

https://doi.org/10.22146/jcoemph.57338

Ketut Shri Satya Wiwekananda(1*), Rizqiko Pandai Hamukti(2), Ketut Shri Satya Yogananda(3), Kadek Egadia Calisto(4), Prattama Santoso Utomo(5)

(1) Department of Medicine, Faculty of Medicine, Public Health, and Nursing Universitas Gadjah Mada, Yogyakarta, Indonesia
(2) Department of Medicine, Faculty of Medicine, Public Health, and Nursing Universitas Gadjah Mada, Yogyakarta, Indonesia
(3) Department of Medicine, Faculty of Medicine, Public Health, and Nursing Universitas Gadjah Mada, Yogyakarta, Indonesia
(4) Department of Medicine, Faculty of Medicine, Public Health, and Nursing Universitas Gadjah Mada, Yogyakarta, Indonesia
(5) Department of Medical Education and Bioethics, Faculty of Medicine, Public Health, and Nursing Universitas Gadjah Mada, Yogyakarta, Indonesia
(*) Corresponding Author

Abstract


Trauma is one of the major causes of deaths worldwide. The referral time of trauma patients to the trauma center is a vital determinant of traumatic injury patients’ survival. Ambulance delays and crashes are the major causes of delay of patient transportation to the hospital. This review was conducted to find the main factors that cause ambulance crashes and ambulance delays; and discuss the correlation of both factors. Hence, the authors might suggest an appropriate solution to minimize ambulance delay and crash incidents. This integrative literature review applied the PRISMA-P protocol to ensure a robust literature search. A total of nine databases and publishers (i.e., PubMed, Scopus, ScienceDirect, ASCE Library, Clinical Key, EBSCO, Cambridge, Taylor & Francis, and ProQuest) were searched using relevant keywords to obtain studies on ambulance delays and ambulance crashes. The literature search retrieved 620 studies to be screened based on the exclusion-inclusion criteria which finally resulted in the 12 studies included in the review. The researchers conducted a risk of bias assessment using Joanna Briggs Institute's critical appraisal tools. Data from the included studies were then extracted and analyzed using descriptive statistics to identify the factors affecting ambulance delays and crashes. After conducting an integrative literature review, the main factor that causes ambulance delays is traffic congestion. Meanwhile, the main factor causing ambulance crashes is intersection. Traffic congestion often occurs especially at intersections. The authors concluded that, intersections have a significant effect on ambulance delays and also ambulance crashes. To overcome this problem, the authors suggest to make an additional ambulance caution signal lamp on all congested intersections.


Keywords


ambulance crash; ambulance delay; ambulance efficiency; prehospital care

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References

1. World Health Organization. Injuries and violence: the facts [Internet]. 2015 [cited 2020 Mar 7]. Available from: https://www.who.int/violence_injury_prevention/media/news/2015/Injury_violence_facts_2014/en/

2. Center of Disease Control and Prevention. Ten Leading Causes of Death and Injury [Internet]. 2017 [cited 2020 Mar 7]. Available from: https://www.cdc.gov/injury/wisqars/LeadingCauses.html

3. Abbasi H, Bolandparvaz S, Yadollahi M, Anvar M, Farahgol Z. Time distribution of injury-related in-hospital mortality in a trauma referral center in South of Iran (2010 – 2015). Medicine (Baltimore). 2017;1–6.

4. Patel A, Ricardo J, Vissoci N, Hocker M, Molina E, Gil NM, et al. Qualitative evaluation of trauma delays in road traffic injury patients in Maringá, Brazil. BMC Health Serv Res. 2017;17(1):804.

5. Kementrian Komunikasi dan Informatika Republik Indonesia. Rata-rata Tiga Orang Meninggal Setiap Jam Akibat Kecelakaan Jalan [Internet]. 2017 [cited 2020 May 28]. Available from: https://kominfo.go.id/index.php/content/detail/10368/rata-rata-tiga-orang-meninggal-setiap-jam-akibat-kecelakaan-jalan/0/artikel_gpr

6. The Nation. 20 Percent of Emergency Patient Deaths Blamed on Traffic Jam Delays [Internet]. 2017 [cited 2020 Mar 7]. Available from: https://www.nationthailand.com/national/30304268

7. Smith N. A national perspective on ambulance crashes and safety. EMSWORLD. 2015;91–04.

8. Carter N, Bryant-lukosius D, Dicenso A, Blythe J, Nevile AJ. The use of triangulation in qualitative research. Oncol Nurs Forum. 2014;41(5):545–7.

9. The Joanna Briggs Institute. Critical Appraisal Tools [Internet]. The Joanna Briggs Institute. [cited 2019 Feb 10]. Available from: https://joannabriggs.org/ebp/critical_appraisal_tools

10. Noorani MM, Khaliq MF, Shoaib M, Sheikh A, Moughal U, Moazzum W, et al. Time intervals and associated factors of emergency treatment: first insight into Pakistani system. Int Arch Med. 2014;7(1):1–9.

11. Dimitriou L, Efthymiou D, Antoniou C. Saving lives through faster emergency unit response times: role of accessibility and environmental factors. J Transp Eng. 2018;144(9):1–9.

12. Lam SSW, Nguyen FNHL, Ng YY, Lee VP-X, Wong TH, Fook-Chong SMC, et al. Factors affecting the ambulance response times of trauma incidents in Singapore. Accid Anal Prev. 2015;82:27–35.

13. Griffin R, McGwin Jr G. Emergency medical service providers’ experiences with traffic congestion. J Emerg Med [Internet]. 2013;44(2):398–405. Available from: http://dx.doi.org/10.1016/j.jemermed.2012.01.066

14. XUE S, WENG J. Analysis of uncertainty associated with response time in work zone traffic accidents. CICTP. 2014;3710–22.

15. Saleh HM, Elsabagh AE, Elewa MG, Fawzy AA, Hassan OM, Comer AC, et al. Admission delays’ magnitude of traumatized patients in the emergency department of a hospital in Egypt: a cross- sectional study. Eur J Trauma Emerg Surg. 2017;44(2):225–230.

16. Kahn CA, Pirrallo RG, Kuhn EM. Characteristics of fatal ambulance crashes in the United States: an 11-year retrospective analysis. Prehospital Emerg Care . 2001;5(3):261–9.

17. Custalow CB, Gravitz CS. Emergency medical vehicle collisions and potential for preventive intervention. Prehospital Emerg Care. 2004;8(2):175–84.

18. Ray AF, Kupas DF. Comparison of crashes involving ambulances with those of similar-sized vehicles. Prehospital Emerg Care. 2005;412–5.

19. Ray AM, Kupas DF. Comparison of rural and urban ambulance crashes in Pennsylvania. Prehospital Emerg Care. 2007;416–20.

20. Sanddal TL, Sanddal ND, Ward N, Stanley L. Ambulance crash characteristics in the US defined by the popular press: a retrospective analysis. Emerg Med Int. 2010;1–7.

21. Pattanarattanamolee R, Lertsinudom S, Nakahara S, Sakamoto T. Ambulance crash in a rural area of Thailand. Int Emerg Med [Internet]. 2017;53(5):1–5. Available from: https://doi.org/10.1016/j.jemermed.2017.08.017

22. Hsiao H, Virginia W. Preventing emergency vehicle crashes: status and challenges of human factors issues. Hum Factors J Hum Factors Ergon Soc. 2018;60(7):1048–72.

23. Sanddal N, Albert S, Hansen J, Kupas D. Contributing factors and issues associated with rural ambulance crashes: literature review and annotated bibliography. Prehospital Emerg Care. 2008;12(2):257–67.

24. Li M, Vanberkel P, Carter AJE. A review on ambulance offload delay literature. Health Care Manag Sci. 2018;22(4):658–75.



DOI: https://doi.org/10.22146/jcoemph.57338

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