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

BACKGROUND: The 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. METHODS: We searched for data on causes of death in Tanzan...

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Autores principales: Sarrassat, Sophie, Mrema, Sigilbert, Tani, Kassimu, Mecrow, Thomas, Ryan, Dan, Cousens, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839730/
https://www.ncbi.nlm.nih.gov/pubmed/30514722
http://dx.doi.org/10.1136/injuryprev-2018-042939
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author Sarrassat, Sophie
Mrema, Sigilbert
Tani, Kassimu
Mecrow, Thomas
Ryan, Dan
Cousens, Simon
author_facet Sarrassat, Sophie
Mrema, Sigilbert
Tani, Kassimu
Mecrow, Thomas
Ryan, Dan
Cousens, Simon
author_sort Sarrassat, Sophie
collection PubMed
description BACKGROUND: The 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. METHODS: We 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. RESULTS: We 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. CONCLUSION: Our 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.
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spelling pubmed-68397302019-11-12 Estimating drowning mortality in Tanzania: a systematic review and meta-analysis of existing data sources Sarrassat, Sophie Mrema, Sigilbert Tani, Kassimu Mecrow, Thomas Ryan, Dan Cousens, Simon Inj Prev Systematic Review BACKGROUND: The 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. METHODS: We 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. RESULTS: We 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. CONCLUSION: Our 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. BMJ Publishing Group 2019-10 2018-12-04 /pmc/articles/PMC6839730/ /pubmed/30514722 http://dx.doi.org/10.1136/injuryprev-2018-042939 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Systematic Review
Sarrassat, Sophie
Mrema, Sigilbert
Tani, Kassimu
Mecrow, Thomas
Ryan, Dan
Cousens, Simon
Estimating drowning mortality in Tanzania: a systematic review and meta-analysis of existing data sources
title Estimating drowning mortality in Tanzania: a systematic review and meta-analysis of existing data sources
title_full Estimating drowning mortality in Tanzania: a systematic review and meta-analysis of existing data sources
title_fullStr Estimating drowning mortality in Tanzania: a systematic review and meta-analysis of existing data sources
title_full_unstemmed Estimating drowning mortality in Tanzania: a systematic review and meta-analysis of existing data sources
title_short Estimating drowning mortality in Tanzania: a systematic review and meta-analysis of existing data sources
title_sort estimating drowning mortality in tanzania: a systematic review and meta-analysis of existing data sources
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839730/
https://www.ncbi.nlm.nih.gov/pubmed/30514722
http://dx.doi.org/10.1136/injuryprev-2018-042939
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