Evidence map›Paper›PMID 34644363›Full record

SynthesisPloS one2021

Systematic media review: A novel method to assess mass-trauma epidemiology in absence of databases-A pilot-study in Rwanda.

Lotta Velin, Mbonyintwari Donatien, Andreas Wladis, Menelas Nkeshimana, Robert Riviello, Jean-Marie Uwitonze, Jean-Claude Byiringiro, Faustin Ntirenganya, Laura Pompermaier

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Mass casualty training for prehospital and emergency providers in Kigali, Rwanda: a quasi-experimental pre-post educational study.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  2. Dispatch in disasters - a descriptive analysis of pre-hospital surge capacity in Rwanda's Emergency medical services.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  3. 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

9 authors.

Lotta VelinDepartment of Biomedical and Clinical Sciences, Center for Teaching & Research in Disaster Medicine and Traumatology (KMC), Linköping University, Linköping, Sweden.ORCID 0000-0002-1929-6011
Mbonyintwari DonatienCollege of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Andreas WladisDepartment of Biomedical and Clinical Sciences, Center for Teaching & Research in Disaster Medicine and Traumatology (KMC), Linköping University, Linköping, Sweden.
Menelas NkeshimanaUniversity Teaching Hospital in Kigali, Kigali, Rwanda.
Robert RivielloBrigham and Women's Hospital, Boston, MA, United States of America.
Jean-Marie UwitonzeEmergency Medical Services (SAMU), Kigali, Rwanda.
Jean-Claude ByiringiroCollege of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Faustin NtirenganyaCollege of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Laura PompermaierDepartment of Biomedical and Clinical Sciences, Center for Teaching & Research in Disaster Medicine and Traumatology (KMC), Linköping University, Linköping, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSurge capacity refers to preparedness of health systems to face sudden patient inflows, such as mass-casualty incidents (MCI). To strengthen surge capacity, it is essential to understand MCI epidemiology, which is poorly studied in low- and middle-income countries lacking trauma databases. We propose a novel approach, the "systematic media review", to analyze mass-trauma epidemiology; here piloted in Rwanda.

methodsA systematic media review of non-academic publications of MCIs in Rwanda between January 1st, 2010, and September 1st, 2020 was conducted using NexisUni, an academic database for news, business, and legal sources previously used in sociolegal research. All articles identified by the search strategy were screened using eligibility criteria. Data were extracted in a RedCap form and analyzed using descriptive statistics.

findingsOf 3187 articles identified, 247 met inclusion criteria. In total, 117 MCIs were described, of which 73 (62.4%) were road-traffic accidents, 23 (19.7%) natural hazards, 20 (17.1%) acts of violence/terrorism, and 1 (0.09%) boat collision. Of Rwanda's 30 Districts, 29 were affected by mass-trauma, with the rural Western province most frequently affected. Road-traffic accidents was the leading MCI until 2017 when natural hazards became most common. The median number of injured persons per event was 11 (IQR 5-18), and median on-site deaths was 2 (IQR 1-6); with natural hazards having the highest median deaths (6 [IQR 2-18]).

conclusionIn Rwanda, MCIs have decreased, although landslides/floods are increasing, preventing a decrease in trauma-related mortality. By training journalists in "mass-casualty reporting", the potential of the "systematic media review" could be further enhanced, as a way to collect MCI data in settings without databases.

Indexed as

Accidents, TrafficDatabases, FactualHumansMass MediaNatural DisastersPilot ProjectsRwandaWounds and Injuries

Identifiers

PMID34644363
PMCPMC8513851

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.