Evidence map›Paper›PMID 29766119›Full record

ArticleTrauma surgery & acute care open2017

Geospatial relationship of road traffic crashes and healthcare facilities with trauma surgical capabilities in Nairobi, Kenya: defining gaps in coverage.

Brian I Shaw, Ali Akida Wangara, Gladys Mbatha Wambua, Jason Kiruja, Rochelle A Dicker, Judith Mutindi Mweu, Catherine Juillard

Abstract read
In one paragraph

Article in Trauma surgery & acute care open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Observational
  2. Article
  3. The Burden of Plastic Surgery in Rural Kenya: The Kapsowar Hospital Experience.Plastic and reconstructive surgery. Global open · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Driving to Childhood Cancer Hub Hospitals: A Study on Hospital Accessibility in Japan.Asian Pacific journal of cancer prevention : APJCP · 2020
    Article
  8. Impact of traffic, poverty and facility ownership on travel time to emergency care in Nairobi, Kenya.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2020
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Brian I ShawSchool of Medicine, University of California, San Francisco, California, USA.ORCID 0000-0002-9635-7447
Ali Akida WangaraAccident and Emergency Department, Kenyatta National Hospital, Nairobi, Kenya.
Gladys Mbatha WambuaAccident and Emergency Department, Kenyatta National Hospital, Nairobi, Kenya.
Jason KirujaDepartment of Pediatrics, Kenyatta National Hospital, Nairobi, Kenya.
Rochelle A DickerDepartment of Surgery, Center for Global Surgical Studies, University of California, San Francisco, California, USA.
Judith Mutindi MweuDepartment of Critical Care, Kenyatta National Hospital, Nairobi, Kenya.
Catherine JuillardDepartment of Surgery, Center for Global Surgical Studies, University of California, San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoad traffic injuries (RTIs) are a cause of significant morbidity and mortality in low- and middle-income countries. Access to timely emergency services is needed to decrease the morbidity and mortality of RTIs and other traumatic injuries. Our objective was to describe the distribution of roadtrafficcrashes (RTCs) in Nairobi with the relative distance and travel times for victims of RTCs to health facilities with trauma surgical capabilities.

methodsRTCs in Nairobi County were recorded by the Ma3route app from May 2015 to October 2015 with latitude and longitude coordinates for each RTC extracted using geocoding. Health facility administrators were interviewed to determine surgical capacity of their facilities. RTCs and health facilities were plotted on maps using ArcGIS. Distances and travel times between RTCs and health facilities were determined using the Google Maps Distance Matrix API.

results89 percent (25/28) of health facilities meeting inclusion criteria were evaluated. Overall, health facilities were well equipped for trauma surgery with 96% meeting WHO Minimal Safety Criteria. 76 percent of facilities performed greater than 12 of three pre-selected 'Bellweather Procedures' shown to correlate with surgical capability. The average travel time and distance from RTCs to the nearest health facilities surveyed were 7 min and 3.4 km, respectively. This increased to 18 min and 9.6 km if all RTC victims were transported to Kenyatta National Hospital (KNH).

conclusionAlmost all hospitals surveyed in the present study have the ability to care for trauma patients. Treating patients directly at these facilities would decrease travel time compared with transfer to KNH. Nairobi County could benefit from formally coordinating the triage of trauma patients to more facilities to decrease travel time and potentially improve patient outcomes. LEVEL OF EVIDENCE: III.

Indexed as

global surgerymotor vehicle traumatrauma systems

Identifiers

PMID29766119
PMCPMC5887833

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.