Evidence map›Paper›PMID 30514722›Full record

SynthesisInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2019

Estimating drowning mortality in Tanzania: a systematic review and meta-analysis of existing data sources.

Sophie Sarrassat, Sigilbert Mrema, Kassimu Tani, Thomas Mecrow, Dan Ryan, Simon Cousens

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Drowning in Uganda: examining data from administrative sources.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2022
    Article
  9. Observational
  10. 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

6 authors at 3 institutions in 2 countries.

Sophie SarrassatCentre for Maternal Adolescent Reproductive and Child Health (MARCH), London School of Hygiene and Tropical Medicine, London, UK sophie.sarrassat@lshtm.ac.uk.ORCID 0000-0001-6872-6455
Sigilbert MremaIfakara Health Institute, Dar Es Salaam, Tanzania.
Kassimu TaniIfakara Health Institute, Dar Es Salaam, Tanzania.
Thomas MecrowRoyal National Lifeboat Institution, Poole, UK.
Dan RyanRoyal National Lifeboat Institution, Poole, UK.
Simon CousensCentre for Maternal Adolescent Reproductive and Child Health (MARCH), London School of Hygiene and Tropical Medicine, London, UK.
Ifakara Health Institute · TZLondon School of Hygiene & Tropical Medicine · GBRoyal National Lifeboat Institution · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe WHO advocates a 7-step process to enable countries to develop and implement drowning prevention strategies. We sought to assess, using existing data sources, the drowning situation in Tanzania as a first step in this process.

methodsWe searched for data on causes of death in Tanzania by reviewing existing literature and global datasets and by in-country networking. Authors and institutions were then contacted to request aggregate data on drowning mortality. Site-specific drowning estimates were combined using a random effects meta-analytic approach. We also tested for evidence of variations in drowning estimates by sex and by age group.

resultsWe acquired partial or complete information on drowning deaths for 13 data sources. We found strong evidence for substantial variations between study sites (p<0.001). Combining population-based data, we estimated an average of 5.1 drowning deaths per 100 000 persons per year (95% CI 3.8 to 6.3). The proportions of deaths due to drowning were 0.72% (95% CI 0.55 to 0.88) and 0.94% (95% CI 0.09 to 1.78) combining population-based data and hospital-based data, respectively. Males were at greater risk than females, while both under-five children and adults aged 45 years or more were at greater risk than those aged 5-44 years.

conclusionOur estimates of drowning burden are broadly in line with the 2016 Global Burden of Disease and the 2015 WHO Global Health Estimates. While this exercise was useful in raising the burden of drowning in Tanzania with policy makers, planning drowning prevention strategies in this country will require a better understanding of which subpopulations are at high risk.

Indexed as

AdolescentAdultAgedAge DistributionCause of DeathChildChild, PreschoolDrowningFemaleHumansInfantMaleMiddle AgedRisk FactorsSex DistributionTanzaniacommunitydrowningmetanalysismortalitysystematic review

Identifiers

PMID30514722
PMCPMC6839730
OpenAlexW2903341925

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.