Estimates of home and leisure injuries treated in emergency departments in the adult population living in metropolitan France: a model-assisted approach
Identifieur interne : 000347 ( Main/Exploration ); précédent : 000346; suivant : 000348Estimates of home and leisure injuries treated in emergency departments in the adult population living in metropolitan France: a model-assisted approach
Auteurs : Christophe Bonaldi [France] ; Cécile Ricard [France] ; Javier Nicolau [France] ; Maryline Bouilly [France] ; Bertrand Thélot [France]Source :
- Population Health Metrics [ 1478-7954 ] ; 2014.
Abstract
Home and leisure injuries (HLIs) are currently a major public health concern, because of their frequency, associated consequences, and considerable medical costs. As in many other countries in Europe, in France the population coverage of the surveillance system of HLIs is low. In this study, a model-assisted approach is developed to estimate the incidence rates of HLIs in adults treated in emergency departments (EDs) in metropolitan France between 2004 and 2008.
Using a sample of the hospitals participating in the French ED-based surveillance system, a generalized linear mixed model was applied, which describes the relationship between the numbers of ED visits for HLIs and the sex and age of the patients on the basis of the number of injury-related stays recorded by the hospitals. Statistics on hospital stays were provided by the French hospital discharge databases in the participating hospitals. The same statistics were available at the national level, which made it possible to extrapolate national incidence estimates.
Over the 2004–2008 period, the estimated incidence rate of HLIs age-standardized on the European population aged 15 years and over was 48.7 per 1,000 person-years (95% confidence interval: 39.4-58.0), and displayed little variability over time. This rate corresponded to an average of 2.5 million emergency hospital visits each year due to an HLI in people aged over 15 in France.
The method made it possible to use medico-administrative datasets available nationwide to provide informative estimates despite the small number of participating EDs. The consequences and costs generated by hospital emergency visits can sometimes be onerous, and these estimated rates confirm the scale of the problem and the need to continue investing in preventive actions.
Url:
DOI: 10.1186/1478-7954-12-2
PubMed: 24495484
PubMed Central: 3923095
Affiliations:
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Le document en format XML
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<author><name sortKey="Bonaldi, Christophe" sort="Bonaldi, Christophe" uniqKey="Bonaldi C" first="Christophe" last="Bonaldi">Christophe Bonaldi</name>
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>Home and leisure injuries (HLIs) are currently a major public health concern, because of their frequency, associated consequences, and considerable medical costs. As in many other countries in Europe, in France the population coverage of the surveillance system of HLIs is low. In this study, a model-assisted approach is developed to estimate the incidence rates of HLIs in adults treated in emergency departments (EDs) in metropolitan France between 2004 and 2008.</p>
</sec>
<sec><title>Methods</title>
<p>Using a sample of the hospitals participating in the French ED-based surveillance system, a generalized linear mixed model was applied, which describes the relationship between the numbers of ED visits for HLIs and the sex and age of the patients on the basis of the number of injury-related stays recorded by the hospitals. Statistics on hospital stays were provided by the French hospital discharge databases in the participating hospitals. The same statistics were available at the national level, which made it possible to extrapolate national incidence estimates.</p>
</sec>
<sec><title>Results</title>
<p>Over the 2004–2008 period, the estimated incidence rate of HLIs age-standardized on the European population aged 15 years and over was 48.7 per 1,000 person-years (95% confidence interval: 39.4-58.0), and displayed little variability over time. This rate corresponded to an average of 2.5 million emergency hospital visits each year due to an HLI in people aged over 15 in France.</p>
</sec>
<sec><title>Conclusions</title>
<p>The method made it possible to use medico-administrative datasets available nationwide to provide informative estimates despite the small number of participating EDs. The consequences and costs generated by hospital emergency visits can sometimes be onerous, and these estimated rates confirm the scale of the problem and the need to continue investing in preventive actions.</p>
</sec>
</div>
</front>
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<author><name sortKey="Lyons, Ra" uniqKey="Lyons R">RA Lyons</name>
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<author><name sortKey="Petridou, At" uniqKey="Petridou A">AT Petridou</name>
</author>
<author><name sortKey="Toet, H" uniqKey="Toet H">H Toet</name>
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<author><name sortKey="Van Beek, Ef" uniqKey="Van Beek E">EF Van Beek</name>
</author>
<author><name sortKey="Mulder, S" uniqKey="Mulder S">S Mulder</name>
</author>
</analytic>
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<biblStruct><analytic><author><name sortKey="Polinder Korteweg, S" uniqKey="Polinder Korteweg S">S Polinder-Korteweg</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Petridou, E" uniqKey="Petridou E">E Petridou</name>
</author>
<author><name sortKey="Dessypris, N" uniqKey="Dessypris N">N Dessypris</name>
</author>
<author><name sortKey="Frangakis, Ce" uniqKey="Frangakis C">CE Frangakis</name>
</author>
<author><name sortKey="Belechri, M" uniqKey="Belechri M">M Belechri</name>
</author>
<author><name sortKey="Mavrou, A" uniqKey="Mavrou A">A Mavrou</name>
</author>
<author><name sortKey="Trichopoulos, D" uniqKey="Trichopoulos D">D Trichopoulos</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Dessypris, N" uniqKey="Dessypris N">N Dessypris</name>
</author>
<author><name sortKey="Petridou, E" uniqKey="Petridou E">E Petridou</name>
</author>
<author><name sortKey="Skalkidis, Y" uniqKey="Skalkidis Y">Y Skalkidis</name>
</author>
<author><name sortKey="Moustaki, M" uniqKey="Moustaki M">M Moustaki</name>
</author>
<author><name sortKey="Koutselinis, A" uniqKey="Koutselinis A">A Koutselinis</name>
</author>
<author><name sortKey="Trichopoulos, D" uniqKey="Trichopoulos D">D Trichopoulos</name>
</author>
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</TEI>
<affiliations><list><country><li>France</li>
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<settlement><li>Annecy</li>
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</list>
<tree><country name="France"><noRegion><name sortKey="Bonaldi, Christophe" sort="Bonaldi, Christophe" uniqKey="Bonaldi C" first="Christophe" last="Bonaldi">Christophe Bonaldi</name>
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<name sortKey="Bouilly, Maryline" sort="Bouilly, Maryline" uniqKey="Bouilly M" first="Maryline" last="Bouilly">Maryline Bouilly</name>
<name sortKey="Nicolau, Javier" sort="Nicolau, Javier" uniqKey="Nicolau J" first="Javier" last="Nicolau">Javier Nicolau</name>
<name sortKey="Ricard, Cecile" sort="Ricard, Cecile" uniqKey="Ricard C" first="Cécile" last="Ricard">Cécile Ricard</name>
<name sortKey="Thelot, Bertrand" sort="Thelot, Bertrand" uniqKey="Thelot B" first="Bertrand" last="Thélot">Bertrand Thélot</name>
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