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Intentional injury among the indigenous and total populations in British Columbia, Canada: trends over time and ecological analyses of risk

Overview of attention for article published in International Journal for Equity in Health, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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2 news outlets
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9 X users

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Title
Intentional injury among the indigenous and total populations in British Columbia, Canada: trends over time and ecological analyses of risk
Published in
International Journal for Equity in Health, August 2017
DOI 10.1186/s12939-017-0629-4
Pubmed ID
Authors

M. Anne George, Andrew Jin, Mariana Brussoni, Christopher E. Lalonde, Rod McCormick

Abstract

Our objective was to explore intentional injury disparity between Indigenous populations and the total population in the province of British Columbia (BC), Canada. We focus on hospitalizations, including both self-inflicted injuries and injuries inflicted by others. We used data from BC's universal health care insurance plan, 1991 to 2010, linked to Vital Statistics databases. Indigenous people were identified through the insurance premium group, and birth and death records. Place of residence was identified through postal code. We calculated crude hospitalization incidence rates and the Standardized Relative Risk (SRR) of hospitalization, standardized by gender, 5-year age group, and Health Service Delivery Area (HSDA). With HSDA populations as the units of observation, linear regression was used to test hypothesized associations of Indigenous ethnicity, geographic, and socio-economic characteristics with SRR of injury. During the period 1991-2010, the crude rate of hospitalization for intentional injuries was 8.4 per 10,000 person-years (95% confidence interval (CI): 8.3 to 8.5) for the total BC population, compared to 45.3 per 10,000 (95% CI: 44.5 to 46.1) for the Indigenous population. For both populations, risk declined over the period for injuries self-inflicted and inflicted by others. The linear regression model predicts that the off-reserve Indigenous population will have SRR of intentional injury 3.98 greater, and the on-reserve Indigenous population 4.17, greater than the total population. The final model was an excellent fit (R(2) = 0.912, F = 177.632, p < 0.001), and found that three variables - occupational risk, high school diploma, and university degree - each provide independent effects when interacting multiplicatively with Indigenous ethnicity. The observation of substantially declining rates of intentional injury for both the Indigenous and total BC populations is off-set by the high disparity in risk between the two populations, which will likely continue until Canada reduces disparity with respect to discriminatory practices, and physical, social, and economic conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 17%
Researcher 11 10%
Student > Bachelor 8 8%
Student > Doctoral Student 7 7%
Student > Ph. D. Student 6 6%
Other 19 18%
Unknown 37 35%
Readers by discipline Count As %
Social Sciences 19 18%
Medicine and Dentistry 18 17%
Psychology 9 8%
Nursing and Health Professions 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 11 10%
Unknown 40 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 November 2017.
All research outputs
#1,437,001
of 22,996,001 outputs
Outputs from International Journal for Equity in Health
#199
of 1,920 outputs
Outputs of similar age
#30,886
of 317,853 outputs
Outputs of similar age from International Journal for Equity in Health
#8
of 64 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,920 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,853 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.