Cited by 22Trauma and Emergency Care StudiesEmergency and Acute Care StudiesTraffic and Road Safety

The DOI matches its Crossref record.

Lagos state ambulance service: a performance evaluation

Open access

Abstract

Objectives: The mortality rate from road traffic accidents (RTAs) in Nigeria is almost double that of the USA. In Nigeria, the first emergency medical services (EMS) system was established in March 2001, The Lagos State Ambulance Service (LASAMBUS). The objectives of this study are to (1) determine the burden of RTAs in Lagos, (2) assess RTA call outcomes, and (3) analyze LASAMBUS’s response time and causes for delay. Methodology: We reviewed completed LASAMBUS intervention forms spanning December 2017 to May 2018. We categorized the call outcomes into five groups: I. Addressed Crash, II. No Crash (False Call), III. Crash Already Addressed, IV. Did Not Respond, and V. Other. We further explored associations between the (1) causes for delay and outcomes and (2) response times and the outcomes. Results: Overall, we analyzed 1352 intervention forms. We found that LASAMBUS did not address 53% of the RTA calls that they received. Of this, Outcome II. No Crash (False Call) accounted for 26% and Outcome III. Crash Already Addressed accounted for 22%. Self-reported causes for delay were recorded in 180 forms, representing 13.7% of the RTA burden. Traffic congestion accounted for 60% of this distribution. Conclusion: LASAMBUS response rates are significantly lower than response rates in high-income countries such as the USA and lead to increased RTA mortality rates. Eliminating causes for delay will improve both LASAMBUS effectiveness and RTA victims’ health outcomes. Changing the public perception of LASAMBUS and standardizing LASAMBUS’ contact information will aid this as well.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00068-020-01319-y

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The Lagos State Ambulance Service (LASAMBUS) is the first Nigerian state emergency ambulance service, established in March 2001.

    “The Lagos State Ambulance Service (LASAMBUS) is the first Nigerian state emergency ambulance services established in March 2001 [[18], [19], [20]].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 17

  1. Adeloye D, Thompson JY, Akanbi MA, Azuh D, Samuel V, Omoregbe N, et al. The burden of road traffic crashes, injuries and deaths in Africa: a systematic review and meta-analysis. Bull World Health Organ. 2016;94(7):510. · DOI
  2. Atobi A. An evaluation of transport infrastructure in Lagos State, Nigeria. J Geography Earth Sci. 2013;1(1):09–18.
  3. Aigbe GO, Ogundele FO, Aliu IR. Road facility availability and maintenance in Lagos State, Nigeria. Br J Arts Soc Sci. 2012;4(2):135–49.
  4. Gonzalez RP, Cummings GR, Phelan HA, Mulekar MS, Rodning CB. Does increased emergency medical services prehospital time affect patient mortality in rural motor vehicle crashes? A statewide analysis. Am J Surg. 2009;197(1):30–4. · DOI
  5. Mell HK, Mumma SN, Hiestand B, Carr BG, Holland T, Stopyra J. Emergency medical services response times in rural, suburban, and urban areas. JAMA Surg. 2017;152(10):983–4. · DOI
  6. Mould-Millman N-K, Dixon JM, Sefa N, Yancey A, Hollong BG, Hagahmed M, et al. The state of emergency medical services (EMS) systems in Africa. Prehospital Disaster Med. 2017;32(3):273–83. · DOI
  7. Adewole I, Kayode F, Giwa S, Shoga M, Adejumo A, Ademiluyi S. Ambulance services of Lagos State, Nigeria: a six-year (2001–2006) audit. West Afr J Med. 2012;31(1):8–13.
  8. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81. · DOI · Paper page
  9. Mehmood A, Rowther AA, Kobusingye O, Hyder AA. Assessment of pre-hospital emergency medical services in low-income settings using a health systems approach. Int J Emerg Med. 2018;11(1):53. · DOI
  10. Paravar M, Hosseinpour M, Salehi S, Mohammadzadeh M, Shojaee A, Akbari H, et al. Pre-hospital trauma care in road traffic accidents in Kashan, Iran. Arch Trauma Res. 2013;1(4):166. · DOI
  11. Murad MK, Issa DB, Mustafa FM, Hassan HO, Husum H. Prehospital trauma system reduces mortality in severe trauma: a controlled study of road traffic casualties in Iraq. Prehospital Disaster Med. 2012;27(1):36–41. · DOI
  12. Ibrahim NA, Ajani AWO, Mustafa IA, Balogun RA, Oludara MA, Idowu OE, et al. Road traffic injury in Lagos, Nigeria: assessing prehospital care. Prehospital Disaster Med. 2017;32(4):424–30. · DOI
  13. Zakariah A, Stewart BT, Boateng E, Achena C, Tansley G, Mock C. The birth and growth of the national ambulance service in Ghana. Prehospital Disaster Med. 2017;32(1):83–93. · DOI
  14. Shrivastava SR, Pandian P, Shrivastava PS. Pre-hospital care among victims of road traffic accident in a rural area of Tamil Nadu: A cross-sectional descriptive study. J Neurosci Rural Pract. 2014;5(Suppl 1):S33.
  15. Mahama M-N, Kenu E, Bandoh DA, Zakariah AN. Emergency response time and pre-hospital trauma survival rate of the national ambulance service, Greater Accra (January–December 2014). BMC Emerg Med. 2018;18(1):33. · DOI
  16. Sánchez-Mangas R, García-Ferrrer A, De Juan A, Arroyo AM. The probability of death in road traffic accidents. How important is a quick medical response? Accid Anal Prev. 2010;42(4):1048–56. · DOI
  17. Otegbulu AC. Governance and management of urban infrastructure services in Lagos Nigeria. J Publ Adm Policy Res. 2013;5(1):8–21. · DOI

Cited by

Sorted by citations

Metadata

Authors
Venkatraman, C., Odusola, A. O., Malolan, C., Kola-Korolo, O., Olaomi, O., Idris, J., & Nwariaku, F. E.
Affiliations
  • The University of Texas Southwestern Medical Center (US)
  • Lagos State University Teaching Hospital (NG)
  • Lagos State Ministry of Health (NG)
  • National Hospital Abuja (NG)
Corresponding author
Malolan, Chenchita
Venue
European Journal of Trauma and Emergency Surgery
Published
2020-03-10
Volume
47
Issue
5
Pages
1591-1598
ISSN
  • 1863-9933 (ISSN-L)
  • 1863-9941
OpenAlex
W3011498349
Cited by
22
References
0
Citations by year
2026: 3 · 2025: 1 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 4 · 2020: 2
FWCI
3.37
Type
journal article
Language
en
Open access
Locations
  • European Journal of Trauma and Emergency Surgery (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
Fogarty International Center (5D43TW010463-03)
Topics
  • Health Sciences › Medicine › Emergency Medicine › Trauma and Emergency Care Studies
  • Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
Keywords
emergency medical services, traffic accidents, ambulance response time, response latency, traffic congestion, false calls, road traffic accident mortality, Lagos
MeSH terms
Accidents, Traffic, Ambulances, Emergency Medical Services, Humans, Nigeria

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review