Literature DB >> 17530550

Unintentional injury mortality in the European Union: how many more lives could be saved?

Eleni Th Petridou1, Spyros Kyllekidis, Susanne Jeffrey, Parveen Chishti, Nick Dessypris, David H Stone.   

Abstract

AIMS: The wide variation of unintentional (accidental) injury mortality rates in the European Union (EU) member states suggests that there is high potential for prevention. This paper attempts to quantify the potential for saving lives in this part of the world if all 25 member states were to learn from the experience of countries with advanced injury prevention records.
METHODS: Unintentional injury mortality data (latest three available years), including denominator population estimates, were obtained from the World Health Organization (WHO) mortality database for all 22 EU countries with a population of more than one million. Annual average age-adjusted injury mortality rates were used to derive the potential for saving of lives under two scenarios: (a) if all EU member states matched the country with the lowest unintentional rate for all causes of injury combined; (b) if the benchmark was alternatively the country with the lowest unintentional injury cause-specific rate. Separate calculations were performed for children (0-14), adults (15-64), and the elderly (65 and over).
RESULTS: Under the first scenario, over 73,000 lives could have been saved in the EU 25 in a single year, notably nearly half (47.4%) fewer unintentional injury deaths could be observed in children, over half in adult (54%), and two-fifths (38%) in the elderly. Under the second, more optimistic, scenario 59% of childhood and adult and 75% of unintentional injury deaths among the elderly would have been avoided.
CONCLUSIONS: A substantial proportion of lives lost due to unintentional injury might be saved if all countries were to achieve the lowest unintentional injury mortality rates in the EU. The above calculations are based on a simple theoretical model but there is increasing evidence on the array of existing effective preventive interventions and improved trauma care calls for public health action in each member state that could in practice halt, to the extent possible, the unintentional injury epidemic.

Entities:  

Mesh:

Year:  2007        PMID: 17530550     DOI: 10.1080/14034940600996662

Source DB:  PubMed          Journal:  Scand J Public Health        ISSN: 1403-4948            Impact factor:   3.021


  12 in total

1.  Rising mortality from injury in urban China: demographic burden, underlying causes and policy implications.

Authors:  Jiaying Zhao; Edward Jow-Ching Tu; Christine McMurray; Adrian Sleigh
Journal:  Bull World Health Organ       Date:  2012-04-23       Impact factor: 9.408

2.  Change in child mortality patterns after injuries in Sweden: a nationwide 14-year study.

Authors:  D Bäckström; I Steinvall; F Sjöberg
Journal:  Eur J Trauma Emerg Surg       Date:  2016-03-19       Impact factor: 3.693

3.  What trauma patients need: the European dilemma.

Authors:  Falco Hietbrink; Shahin Mohseni; Diego Mariani; Päl Aksel Naess; Cristina Rey-Valcárcel; Alan Biloslavo; Gary A Bass; Susan I Brundage; Henrique Alexandrino; Ruben Peralta; Luke P H Leenen; Tina Gaarder
Journal:  Eur J Trauma Emerg Surg       Date:  2022-07-07       Impact factor: 2.374

4.  Outcomes in Pediatric Trauma Care in the Stockholm Region.

Authors:  Kerstin Sluys; Margaretha Lannge; Lennart Iselius; Lars E Eriksson
Journal:  Eur J Trauma Emerg Surg       Date:  2009-09-05       Impact factor: 3.693

Review 5.  Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis.

Authors:  Marta Aranda-Gallardo; Jose M Morales-Asencio; Jose C Canca-Sanchez; Silvia Barrero-Sojo; Claudia Perez-Jimenez; Angeles Morales-Fernandez; Margarita Enriquez de Luna-Rodriguez; Ana B Moya-Suarez; Ana M Mora-Banderas
Journal:  BMC Health Serv Res       Date:  2013-04-02       Impact factor: 2.655

6.  Visual analytics for epidemiologists: understanding the interactions between age, time, and disease with multi-panel graphs.

Authors:  Kenneth K H Chui; Julia B Wenger; Steven A Cohen; Elena N Naumova
Journal:  PLoS One       Date:  2011-02-15       Impact factor: 3.240

7.  Fall risk factors in community-dwelling elderly depending on their physical function, cognitive status and symptoms of depression.

Authors:  Magdalena Sylwia Kamińska; Jacek Brodowski; Beata Karakiewicz
Journal:  Int J Environ Res Public Health       Date:  2015-03-24       Impact factor: 3.390

8.  From hospitalization records to surveillance: The use of local patient profiles to characterize cholera in Vellore, India.

Authors:  Melissa S Cruz; Tania M AlarconFalconi; Meghan A Hartwick; Aishwarya Venkat; Hanna Y Ehrlich; Shalini Anandan; Honorine D Ward; Balaji Veeraraghavan; Elena N Naumova
Journal:  PLoS One       Date:  2017-08-18       Impact factor: 3.240

9.  Diagnostic validity of the STRATIFY and Downton instruments for evaluating the risk of falls by hospitalised acute-care patients: a multicentre longitudinal study.

Authors:  Marta Aranda-Gallardo; Margarita Enriquez de Luna-Rodriguez; Maria J Vazquez-Blanco; Jose C Canca-Sanchez; Ana B Moya-Suarez; Jose M Morales-Asencio
Journal:  BMC Health Serv Res       Date:  2017-04-17       Impact factor: 2.655

10.  Deaths caused by injury among people of working age (18-64) are decreasing, while those among older people (64+) are increasing.

Authors:  D Bäckström; R Larsen; I Steinvall; M Fredrikson; R Gedeborg; F Sjöberg
Journal:  Eur J Trauma Emerg Surg       Date:  2017-08-20       Impact factor: 3.693

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.