Abstract
Objectives
To examine the relationship between neighborhood socioeconomic level (NSEL) and injury-related hospitalization.
Methods
The National Trauma Registry (INTR) and the National Population Census (NPC), including NSEL, were linked by individual identity number. Age-adjusted logistic regression predicted injury hospitalization. Mantel–Haenszel X2 was used for linear trends. NSEL was divided into 20 clusters.
Results
The population comprised 7,412,592 residents, of which 125,829 (1.7%) were hospitalized due to injury. The injury hospitalization rate was at least 42 per 10,000 per year. Except for the very low SEL, an inverse relationship between NSEL and all-cause injury was found: 46.1/10,000 in cluster 3 compared to 22.9/10,000 in cluster 20. Hip fracture-related hospitalizations among ages 65 + decreased as SEL increased (2.19% o in cluster 2 compared to 0.95% in cluster 19). In comparison with Jews, non-Jews were 1.5 times more likely to have an injury-related hospitalization [OR 1.5 (95% CI 1.50–1.55)].
Conclusions
The INTR and the NPC were successfully linked providing individual and injury hospitalization data. The outcomes confirm the strong relationship between injury mechanism and NSEL.
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References
Adler NE, Newman K (2002) Socioeconomic disparities in health: pathways and policies. Health Aff 21(2):60–76
Averbuch E, Kaidar N, Horev T (2010) Coping with health inequalities, Jerusalem: The Department of Health Economics and Insurance, Ministry of Health p 44. (Hebrew). 8 Ibid. p 60
Bell N, Arrington A, Adams SA (2015) Census based socioeconomic indicators for monitoring injury causes in the USA: a review. Inj Prev 21(4):278–284. https://doi.org/10.1136/injuryprev-2014-041444
Central Bureau of Statistics (2013a) Characterization and classification of geographical units by the socio-economic level of the population 2008. http://www.cbs.gov.il/publications13/1530/pdf/intro02_e.pdf. Accessed April 2014
Central Bureau of Statistics (2013b) 2008 Census. http://www.cbs.gov.il/census/census/pnimi_sub_page_e.html?id_topic=2&id_subtopic=1. http://www.cbs.gov.il/publications13/1530/pdf/tab01_02.pdf. http://www.cbs.gov.il/hodaot2016n/24_16_330t1.pdf. Accessed April 2014
Central Bureau of Statistics (2014) Statistical Abstract of Israel 2013. number 64. table 2.2. Jerusalem Israel
Champion HR, Sacco WJ, Copes WS (1995) Trauma scoring. In: Feliciano DV, Moore EE, Mattox KL (eds) Trauma, 3rd edn. Appleton & Lange, pp 53–67
Cubbin C, Smith GS (2002) Socioeconomic inequalities in injury: critical issues in design and analysis. Annu Rev Public Health 23(1):349–375
Cubbin C, LeClere FB, Smith GS (2000) Socioeconomic status and injury mortality: individual and neighborhood determinants. J Epidemiol Community Health 54:517–524
De Looper M, Lafortune G (2009) Measuring disparities in health status and in access and use of health care in OECD countries, OECD Health Working Papers, No. 43, OECD Publishing. http://dx.doi.org/10.1787/225748084267
Dougherty G, Pless B, Wilkins R (1990) Social class and the occurrence of traffic injuries and death in urban children. Can J Public Health 81:204–209
Grajda A, Kulaga Z, Gurzkowska B, Gozdz M, Wojylo M, Litwin M (2017) Trends in external causes of child and adolescent mortality in Poland 1999-2012. Int J Public Health 62:117–126. https://doi.org/10.1007/s00038-016-0908-7
Hasselberg M, Laflamme L (2008) Road traffic injuries among young car drivers by country of origin and socioeconomic position. Int J Public Health 53(1):40–45. https://doi.org/10.1007/s00038-007-6083-0
Horev T, Averbuch E (2012) Coping with health inequalities: a road map for developing a national plan, the Israeli experience. Publication of the Department of Health Economics and Insurance and the Ministry of Health. https://www.health.gov.il/PublicationsFiles/HealthInequalities_roadmap04042012.pdf
Jaffe DH, Eizenbach Z, Neuwmark Y, Manor O (2005) Does living in a religiously affiliated neighborhood lower mortality? Ann Epidem 15:805–810
Jaffe DH, Goldman S, Peleg K (2011) The role of community in pediatric injury. J Commun Health 36(2):244–252. https://doi.org/10.1007/s10900-010-9304-z
Kark JD, Carmel S, Sinnreich R, Goldberger N, Friedlander Y (1996) Pyschosocial factors among members of religious and secular kibbutzim. Israel J Med Sci 32:185–194
Khambalia A, Joshi P, Brussoni M, Raina P, Morrongiello B, Macarthur C (2006) Risk factors for unintentional injuries due to falls in children aged 0–6 years: a systematic review. Inj Prev 12:378–381. https://doi.org/10.1136/ip.2006.012161
Kim MH, Subramanian SV, Kawachi I, Kim CY (2007) Association between childhood fatal injuries and socioeconomic position at individual and area levels: a multilevel study. J Epidemiol Community Health 61(2):135–140
Lawson F, Schuurman N, Amram O, Nathens AB (2015) A geospatial analysis of the relationship between neighborhood socioeconomic status and adult severe injury in Greater Vancouver. Inj Prev 21(4):260–265. https://doi.org/10.1136/injuryprev-2014-041437
MacKay M, Reid DC, Moher D, Klassen T (1999) Systematic review of the relationship between childhood injury and socio-economic status. Ottawa, ON, Minister of Public Works and Government Services Canada. http://www.publications.gc.ca/collections/Collection/H39-473-1999E.pdf. Accessed Feb 2015
Magid AL, Leibovitch-Zur S, Baron-Epel O (2015) Increased inequality in mortality from road crashes among Arabs and Jews in Israel. Traffic Inj Prev 16(1):42–47. https://doi.org/10.1080/15389588.2014.908289
Marcin JP, Schembri MS, He J, Romano PS (2003) A population-based analysis of socioeconomic status and insurance status and their relationship with pediatric trauma hospitalization and mortality rates. Am J Public Health 93:461–466
Potter BK, Speechley KN, Koval J, Gutmanis IA, Campbell MK, Manuel D (2005) Socioeconomic status and non-fatal injuries among Canadian adolescents: variations across SES and injury measure. BMC Public Health 5:132. https://doi.org/10.1186/1471-2458-5-132
Roberts I, Norton R, Jackson R, Dunn R, Hassall I (1995) Effect of environmental factors on risk of injury of child pedestrians by motor vehicles: a case-control study. BMJ 10:91–94
Rozenfeld M, Radomislensky I, Freedman L, Givon A, Novikov I, Peleg K (2014) ISS groups: are we speaking the same language? Inj Prev 20(5):330–335. https://doi.org/10.1136/injuryprev-2013-041042
Shmueli A (2014) Income-related inequalities in health and health services use in Israel. Israel J Health Policy Res 3:37. https://doi.org/10.1186/2045-4015-3-37
Vandenbroucke JP, von Elm E, Altman DG et al (2014) Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration. Int J Surg 12(12):1500–1524. https://doi.org/10.1016/j.ijsu.2014.07.014
World Health Organization (2011) Rio political declaration on social determinants of health. Rio de Janeiro
World Health Organization (2012) Health topics-Injuries. (http://www.who.int/topics/injuries/about/en/index.html). Accessed Feb 2015
World Health Organization (2014) Injury and violence the facts. http://bit.ly/16za9Lx. Accessed 16 Feb 2015
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Goldman, S., Radomislensky, I., Ziv, A. et al. The impact of neighborhood socioeconomic disparities on injury. Int J Public Health 63, 855–863 (2018). https://doi.org/10.1007/s00038-018-1119-1
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DOI: https://doi.org/10.1007/s00038-018-1119-1