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BMC Public Health
Published in: BMC Public Health 1/2018

Open Access 01-12-2018 | Research article

Socioeconomic variation in injury hospitalisations in Australian children ≤ 16 years: a 10-year population-based cohort study

Authors: Rebecca Seah, Reidar P. Lystad, Kate Curtis, Rebecca Mitchell

Published in: BMC Public Health | Issue 1/2018

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Abstract

Background

Childhood injury remains a significant public health problem responsible for significant morbidity and mortality. However, injury has been found to increase with socioeconomic disadvantage for some injuries. The current study examines the 10-year epidemiological profile of injury hospitalisations of children ≤16 years by socioeconomic status for different age group and select types of injury.

Method

A retrospective analysis of injury hospitalisations of children aged ≤16 years using linked hospitalisation and mortality records during 1 July 2002 to 30 June 2012 was conducted. Negative binomial regression was used to calculate incidence rate ratios (IRRs) for injury hospitalisation rates by socioeconomic disadvantage quintile.

Results

There were 679,171 injury hospitalisations for children aged 0–16 years in Australia. Children in more disadvantaged socioeconomic quintiles were more likely to be hospitalised for an injury sustained by: assault (IRR range 1.40 to 3.64), poisoning (IRR range 1.29 to 1.36), heat and hot substances (IRR range 1.07 to 1.34), and pedestrian collisions (IRR range 1.06 to 1.54) than children in advantaged socioeconomic quintiles.

Conclusions

Findings support the notion that the risk of injury hospitalisation among children differs according to socioeconomic gradient and has implications for childhood injury prevention. Policy makers should consider socioeconomic differences in the design of injury prevention measures, particularly measures directed at modifying the built environment and home-based interventions.
Literature
1.
World Health Organization. World report on child injury prevention. Geneva: World Health Organization; 2008.
2.
Poulos R, Hayen A, Finch C, Zwi A. Area socioeconomic status and childhood injury morbidity in New South Wales, Australia. Injury prevention. 2007;13:322–7.CrossRef
3.
Shaw C, Blakley T, Crampton P, Atkinson J. The contribution of causes of death to socioeconomic inequalities in child mortality: New Zealand 1981-1999. The New Zealand Medical Journal. 2005;118(1227):U1779.PubMed
4.
Bronwell M, Frieson D, Mayer T. Childhood injury rates in Manitoba: socioeconomic influences. Canadian Journal of Public Health. 2002;93:S50–S6.
5.
Cubbin C, LeClere FB, Smith GS. Socioeconomic status and the occurrence of fatal and nonfatal injury in the United States. Am J Public Health. 2000;90(1):70–7.CrossRef
6.
Lyons RA, Jones SJ, Deacon T, Heaven M. Socioeconomic variation in injury in children and older people: a population based study. Injury Prevention. 2003;9(1):33.CrossRef
7.
Lalloo R, Sheiham A. Risk factors for childhood major and minor head and other injuries in a nationally representative sample. Injury. 2003;34(4):261–6.CrossRef
8.
Williams JM, Currie CE, Wright P, Elton RA, Beattie TF. Socioeconomic status and adolescent injuries. Soc Sci Med. 1997;44(12):1881–91.CrossRef
9.
Ni H, Barnes P, Hardy AM. Recreational injury and its relation to socioeconomic status among school aged children in the US. Injury Prevention. 2002;8(1):60.CrossRef
10.
Pomerantz WJ, Dowd MD, Buncher CR. Relationship between socioeconomic factors and severe childhood injuries. J Urban Health. 2001;78(1):141–51.CrossRef
11.
LaScala EA, Gruenewald PJ, Johnson FW. An ecological study of the locations of schools and child pedestrian injury collisions. Accid Anal Prev. 2004;36(4):569–76.CrossRef
12.
Hawton K, Saunders K, Topiwala A, Haw C. Psychiatric disorders in patients presenting to hospital following self-harm: a systematic review. J Affect Disord. 2013;151:821–30.CrossRef
13.
Mitchell R, Seah R, Ting H, Curtis K, Foster K. Intentional self-harm and assault hospitalisations and treatment cost of children in Australia over a 10-year period. Aust N Z J Public Health. 2018;42(3):240–6.CrossRef
14.
Balseven-Odabasi A, Tumer A, Keten A, Yorganci K. Burn injuries among children aged up to seven years. Turk J Pediatr. 2009;51(328–325).
15.
Mitchell R, Curtis K, Forster K. A 10-year review of child injury hospitalisations, health outcomes and treatment costs in Australia. Injury Prevention. 2018;24(5):344–50.CrossRef
16.
National Centre for Classification in Health ICD-10-AM. Fifth ed. Sydney: National Centre for classification in Health; 2006.
17.
Edwards J, Houtrow A, Vasilevskis E, Rehm R, Markovitz B, Graham R, et al. Chronic conditions among children admitted to US pediatric intensive care units: their prevalence and impact on risk for mortality and prolonged length of stay. Crit Care Med. 2012;40(7):2196–203.CrossRef
18.
Mitchell R, Curtis K, Braithwaite J. Health outcomes and costs for injured young people hospitalised with and without chronic health conditions. Injury. 2017.
19.
Miller C, Shi J, Wheeler K, Yin H, Smith GA, Groner J, et al. Chronic conditions and outcomes of pediatric trauma patients. Journal of Trauma and Acute Care. 2013;75(2):250–7.CrossRef
20.
Stephenson S, Henley G, Harrison J. Langley J. In: Diagnosis-based injury severity scaling Adelaide: Australian Institute of Health and Welfare; 2003.
21.
Dayal S, Wren J, Wright C. Mapping injury severity scores against hospitalisation day stays for injury priority areas (excluding workplace injury). Wellington: Public Health Intelligence, Health and Disability Systems Strategy Directorate, Ministry of Health; 2008.
22.
Australian Bureau of Statistics Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia. Catalogue no: 2033.0.55.001. Canberra: Australian Bureau of Statistics, 2011.
23.
SAS Institute. SAS: statistical software. Cary, North Carolina: SAS Institute; 2014.
24.
Australian Bureau of Statistics Customised data request - estimated resident population (ERP). Canberra: Australian bureau of Statistics, 2017.
25.
26.
Armitage P, Berry G, Matthews J. Statistical methods in medical research. Fourth edition ed. Cornwell: Blackwell Science; 2002.
27.
Pink B. Socio-Economic Indexes for Areas (SEIFA) 2011. In: Australian Bureau of Statistics, editor. Canberra: Australian Bureau of Statistics,; 2013.
28.
Laflamme L, Hasselberg M, Burrows S. 20 years of research on socioeconomic inequality and children -unintentional injuries understanding the cause-specific evidence at hand. International Journal of Pediatrics. 2010;2010:23.CrossRef
29.
Peden M, Oyegbite K, Ozanne-Smith J, Hyder A, Branche C, Rahman A, et al. World report on child injury prevention. Geneva, Switzerland: World Health Organization; 2008.
30.
Krug E, Sharma G, Lozano R. The global burden of injuries. Am J Public Health. 2000;90:523–6.CrossRef
31.
Hawton K, Harriss L, Hodder K, Simkin S, Gunnell D. The influence of the economic and social environment on deliberate self-harm and suicide: an ecological and person-based study. Psychol Med. 2001;31(5):827–36.CrossRef
32.
Kipping RR, Smith M, Heron J, Hickman M, Campbell R. Multiple risk behaviour in adolescence and socio-economic status: findings from a UK birth cohort. Eur J Pub Health. 2015;25(1):44–9.CrossRef
33.
Gagné M, Hamel D. Deprivation and unintentional injury hospitalization in Quebec children. Chronic Diseases in Canada. 2009;29(2).
34.
Groom L, Kendrick D, Coupland C, Patel B, Hippisley-Cox J. Inequalities in hospital admission rates for unintentional poisoning in young children. Injury Prevention. 2006;12(3):166.CrossRef
35.
Reimers A, Laflamme L. Neighbourhood social and socio-economic composition and injury risks. Acta Paediatr. 2005;94(10):1488–94.CrossRef
36.
Schwebel D, Gaines J. Pediatric unintentional injury: behavioral risk factors and implications for prevention. Journal of Developmental & Behavioral Pediatrics. 2007;28(3):245–54.CrossRef
37.
Doswell T, Towner E. Social deprivation and the prevention of unintentional injury in childhood: a systematic review. Health Educ Res. 2002;17(2):221–37.CrossRef
38.
Molnar BE, Goerge RM, Gilsanz P, Hill A, Subramanian SV, Holton JK, et al. Neighborhood-level social processes and substantiated cases of child maltreatment. Child Abuse Negl. 2016;51(Supplement C):41–53.CrossRef
39.
World Health Organization. Socioeconomic differences in injury risks. A review of findings and a discussion of potential countermeasures. Geneva: World Health Organization; 2009.
40.
Hosman C. Evidence of effectiveness in mental health promotion In: Lavikainen J, Lahtinen E, Lehtinen V, editors. Proceedings of the European Conference on Promotion of Ment Health Soc Incl Helsinki: Ministry of Social Affairs and Health; 2001.
41.
Kendrick D, Smith S, Sutton A, Watson MC, Coupland C, Mulvaney C, et al. The effect of education and safety equipment on poisoning prevention practices and poisoning: systematic review, meta-analysis and meta-regression. Arch Dis Child. 2008.
42.
DiGuiseppi C, Roberts I, Wade A, Sculpher M, Edwards P, Godward C, et al. Incidence of fires and related injuries after giving out free smoke alarms: cluster randomised controlled trial. BMJ. 2002;325(7371):995.CrossRef
43.
Tester JM, Rutherford GW, Wald Z, Rutherford MW. A matched case–control study evaluating the effectiveness of speed humps in reducing child pedestrian injuries. Am J Public Health. 2004;94(4):646–50.CrossRef
44.
Morgenstern H. Uses of ecological analysis in epidemiological research. Am J Public Health. 1982;72:1336–4.CrossRef
45.
Mustard C, Derksen S, Berthelot JM. M W. assessing ecologic proxies for household income: a comparison of household and neighbourhood level income measures in the study of population health status. Health Place. 1995;5:157–71.CrossRef
46.
Haynes R, Reading R, Gale S. Household and neighbourhood risks for injury to 5-14 year old children. Soc Sci Med. 2003;57:625–36.CrossRef
Metadata
Title
Socioeconomic variation in injury hospitalisations in Australian children ≤ 16 years: a 10-year population-based cohort study
Authors
Rebecca Seah
Reidar P. Lystad
Kate Curtis
Rebecca Mitchell
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-018-6242-7

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