131
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Socio Economic Status and Traumatic Brain Injury amongst Pediatric Populations: A Spatial Analysis in Greater Vancouver

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction: Within Canada, injuries are the leading cause of death amongst children fourteen years of age and younger, and also one of the leading causes of morbidity. Low Socio Economic Status (SES) seems to be a strong indicator of a higher prevalence of injuries. This study aims to identify hotspots for pediatric Traumatic Brain Injury (TBI) and examines the relationship between SES and pediatric TBI rates in greater Vancouver, British Columbia (BC), Canada. Methods: Pediatric TBI data from the BC Trauma Registry (BCTR) was used to identify all pediatric TBI patients admitted to BC hospitals between the years 2000 and 2013. Spatial analysis was used to identify hotspots for pediatric TBI. Multivariate analysis was used to distinguish census variables that were correlated with rates of injury. Results: Six hundred and fifty three severe pediatric TBI injuries occurred within the BC Lower Mainland between 2000 and 2013. High rates of injury were concentrated in the East, while low rate clusters were most common in the West of the region (more affluent neighborhoods). A low level of education was the main predictor of a high rate of injury (OR = 1.13, 95% CI = 1.03–1.23, p-Value 0.009). Conclusion: While there was a clear relationship between different SES indicators and pediatric TBI rates in greater Vancouver, income-based SES indicators did not serve as good predictors within this region.

          Related collections

          Most cited references38

          • Record: found
          • Abstract: not found
          • Article: not found

          GeoDa: An Introduction to Spatial Data Analysis

            • Record: found
            • Abstract: found
            • Article: not found

            Incidence of long-term disability following traumatic brain injury hospitalization, United States, 2003.

            Develop and validate a predictive model of the incidence of long-term disability following traumatic brain injury (TBI) and obtain national estimates for the United States in 2003. DATA/METHODS: A logistic regression model was built, using a population-based sample of persons with TBI from the South Carolina Traumatic Brain Injury Follow-up Registry. The regression coefficients were applied to the 2003 Healthcare Cost and Utilization Project-Nationwide Inpatient Sample data to estimate the incidence of long-term disability following traumatic brain injury hospitalization. Among 288,009 (95% CI, 287,974-288,043) hospitalized TBI survivors in the United States in 2003, an estimated 124,626 (95% CI, 123,706-125,546) had developed long-term disability. TBI-related disability is a significant public health problem in the United States. The substantial incidence suggests the need for comprehensive rehabilitative care and services to maximize the potential of persons with TBI.
              • Record: found
              • Abstract: found
              • Article: not found

              Deprivation indices, population health and geography: an evaluation of the spatial effectiveness of indices at multiple scales.

              Area-based deprivation indices (ABDIs) have become a common tool with which to investigate the patterns and magnitude of socioeconomic inequalities in health. ABDIs are also used as a proxy for individual socioeconomic status. Despite their widespread use, comparably less attention has been focused on their geographic variability and practical concerns surrounding the Modifiable Area Unit Problem (MAUP) than on the individual attributes that make up the indices. Although scale is increasingly recognized as an important factor in interpreting mapped results among population health researchers, less attention has been paid specifically to ABDI and scale. In this paper, we highlight the effect of scale on indices by mapping ABDIs at multiple census scales in an urban area. In addition, we compare self-rated health data from the Canadian Community Health Survey with ABDIs at two census scales. The results of our analysis confirm the influence of spatial extent and scale on mapping population health-with potential implications for health policy implementation and resource distribution.

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                08 December 2015
                December 2015
                : 12
                : 12
                : 15594-15604
                Affiliations
                [1 ]Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada; nadine@ 123456sfu.ca
                [2 ]Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; BC Injury Research and Prevention Unit, Child and Family Research Institute, BC Children’s Hospital, Vancouver V6H 3V4, Canada; ipike@ 123456cw.bc.ca
                [3 ]Department of Surgery, Dalhousie University, Halifax, NS B3H 4R2, Canada; Natalie.Yanchar@ 123456iwk.nshealth.ca
                [4 ]Faculty of Health Science, Ben Gurion University, Beer Sheva 8410501, Israel; friger@ 123456bgu.ac.il
                [5 ]Departments of Surgery and Critical Care Medicine, Alberta Health Services, Calgary, AB T6G 2R3, Canada; pmcbeth@ 123456gmail.com
                [6 ]Department of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; Donald.Griesdale@ 123456vch.ca
                Author notes
                [* ]Correspondence: oamram@ 123456sfu.ca ; Tel.: +1-778-782-3322; Fax: +1-778-782-5841
                Article
                ijerph-12-15009
                10.3390/ijerph121215009
                4690945
                26670241
                298bec37-ad8f-4389-8397-b1a5870ada92
                © 2015 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 15 October 2015
                : 01 December 2015
                Categories
                Article

                Public health
                traumatic brain injury,pediatric injury,injury hotspot,injury prevention,geographic information systems

                Comments

                Comment on this article

                Related Documents Log