Piloting a hospital-based road traffic injury surveillance system in Nairobi County, Kenya, 2018-2019.

Helmets Kampala Trauma Score Kenya Motor vehicle crashes Motorcyclists Pedestrians Public health surveillance Road traffic crashes Road traffic injury Seat belts

Journal

Injury
ISSN: 1879-0267
Titre abrégé: Injury
Pays: Netherlands
ID NLM: 0226040

Informations de publication

Date de publication:
27 Feb 2023
Historique:
received: 05 07 2022
revised: 14 02 2023
accepted: 25 02 2023
pmc-release: 27 08 2024
entrez: 16 3 2023
pubmed: 17 3 2023
medline: 17 3 2023
Statut: aheadofprint

Résumé

Kenya's estimated road traffic injury (RTI) death rate is 27.8/100,000 population, which is 1.5 times the global rate. Some RTI data are collected in Kenya; however, a systematic and integrated surveillance system does not exist. Therefore, we adopted and modified the World Health Organization's injury surveillance guidelines to pilot a hospital-based RTI surveillance system in Nairobi County, Kenya. We prospectively documented all RTI cases presenting at two public trauma hospitals in Nairobi County from October 2018-April 2019. RTI cases were defined as injuries involving ≥1 moving vehicles on public roads. Demographics, injury circumstances, and outcome information were collected using standardized case report forms. The Kampala Trauma Score (KTS) was used to assess injury severity. RTI cases were characterized with descriptive statistics. Of the 1,840 RTI cases reported during the seven-month period, 73.2% were male. The median age was 29.8 years (range 1-89 years). Forty percent (n = 740) were taken to the hospital by bystanders. Median time for hospital arrival was 77 min. Pedestrians constituted 54.1% (n = 995) of cases. Of 400 motorcyclists, 48.0% lacked helmets. Similarly, 65.7% of bicyclists (23/35) lacked helmets. Among 386 motor vehicle occupants, 59.6% were not using seat belts (19.9% unknown). Seven percent of cases (n = 129) reported alcohol use (49.0% unknown), and 8.8% (n = 161) reported mobile phone use (59.7% unknown). Eleven percent of cases (n = 199) were severely injured (KTS <11), and 220 died. We demonstrated feasibility of a hospital-based RTI surveillance system in Nairobi County. Integrating information from crash scenes and hospitals can guide prevention.

Sections du résumé

BACKGROUND BACKGROUND
Kenya's estimated road traffic injury (RTI) death rate is 27.8/100,000 population, which is 1.5 times the global rate. Some RTI data are collected in Kenya; however, a systematic and integrated surveillance system does not exist. Therefore, we adopted and modified the World Health Organization's injury surveillance guidelines to pilot a hospital-based RTI surveillance system in Nairobi County, Kenya.
METHODS METHODS
We prospectively documented all RTI cases presenting at two public trauma hospitals in Nairobi County from October 2018-April 2019. RTI cases were defined as injuries involving ≥1 moving vehicles on public roads. Demographics, injury circumstances, and outcome information were collected using standardized case report forms. The Kampala Trauma Score (KTS) was used to assess injury severity. RTI cases were characterized with descriptive statistics.
RESULTS RESULTS
Of the 1,840 RTI cases reported during the seven-month period, 73.2% were male. The median age was 29.8 years (range 1-89 years). Forty percent (n = 740) were taken to the hospital by bystanders. Median time for hospital arrival was 77 min. Pedestrians constituted 54.1% (n = 995) of cases. Of 400 motorcyclists, 48.0% lacked helmets. Similarly, 65.7% of bicyclists (23/35) lacked helmets. Among 386 motor vehicle occupants, 59.6% were not using seat belts (19.9% unknown). Seven percent of cases (n = 129) reported alcohol use (49.0% unknown), and 8.8% (n = 161) reported mobile phone use (59.7% unknown). Eleven percent of cases (n = 199) were severely injured (KTS <11), and 220 died.
CONCLUSION CONCLUSIONS
We demonstrated feasibility of a hospital-based RTI surveillance system in Nairobi County. Integrating information from crash scenes and hospitals can guide prevention.

Identifiants

pubmed: 36925372
pii: S0020-1383(23)00182-1
doi: 10.1016/j.injury.2023.02.051
pmc: PMC10599333
mid: NIHMS1937407
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Intramural CDC HHS
ID : CC999999
Pays : United States

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Valerian Mwenda reports financial support was provided by Centers for Disease Control and Prevention Center for Global Health.

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Auteurs

Valerian Mwenda (V)

Field Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya; Division of Non-communicable Diseases, Ministry of Health, Nairobi, Kenya. Electronic address: valerian.mwenda@health.go.ke.

Merissa A Yellman (MA)

Division of Injury Prevention, National Center for Injury Prevention and Control, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.

Elvis Oyugi (E)

Field Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya.

Philip Mwachaka (P)

Department of Surgery, University of Nairobi, Kenya.

Gladwell Gathecha (G)

Division of Non-communicable Diseases, Ministry of Health, Nairobi, Kenya.

Zeinab Gura (Z)

Field Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya.

Classifications MeSH