Evidence map›Paper›PMID 31240169›Full record

ArticleInjury epidemiology2019

The association of material deprivation component measures with injury hospital separations in British Columbia, Canada.

Fahra Rajabali, Alex Zheng, Kate Turcotte, Li Rita Zhang, Diana Kao, Drona Rasali, Megan Oakey, Ian Pike

Open access · goldAbstract read
In one paragraph

Article in Injury epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Analyses of Child and Youth Self-Poisoning Hospitalizations by Substance and Socioeconomic Status.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Fahra Rajabali1Department of Pediatrics, University of British Columbia, Vancouver, British Columbia Canada.ORCID 0000-0002-2990-6151
Alex Zheng1Department of Pediatrics, University of British Columbia, Vancouver, British Columbia Canada.
Kate Turcotte1Department of Pediatrics, University of British Columbia, Vancouver, British Columbia Canada.
Li Rita Zhang3BC Centre for Disease Control, Provincial Health Services Authority, Vancouver, British Columbia Canada.
Diana Kao3BC Centre for Disease Control, Provincial Health Services Authority, Vancouver, British Columbia Canada.
Drona Rasali3BC Centre for Disease Control, Provincial Health Services Authority, Vancouver, British Columbia Canada.
Megan Oakey3BC Centre for Disease Control, Provincial Health Services Authority, Vancouver, British Columbia Canada.
Ian Pike1Department of Pediatrics, University of British Columbia, Vancouver, British Columbia Canada.
Provincial Health Services Authority · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examines social disparities across neighbourhood levels of income, education and employment in relation to overall injury hospital separations in the province of British Columbia, Canada. Further, the study examines the relationships of social disparities to a set of three injury prevention priorities in British Columbia, namely, transport (motor vehicle occupant, pedestrian and cyclist), falls among older adults, and youth self-harm. The goal being to better understand area-based injury incidence with a view to precision prevention initiatives, particularly for more vulnerable populations.

methodsAcute hospital separations from the Discharge Abstract Database were identified for all causes of injury and the three BC injury prevention priorities for the period April 1, 2009 to March 31, 2014, inclusive. An ecological approach was applied where each hospital separation case was attributed with the income, education and employment level according to the injured individual's area of residence, derived from the 2011 CensusPlus data.

resultsInjury hospital separation data were available for 191 Forward Sortation Areas in BC. Between April 1, 2009 and March 31, 2014, there was a total of 177,861 injury-related hospital separations, averaging 35,572 hospital separations per year and an annual rate of 779 injury hospital separations per 100,000 population. Injury hospital separation rates varied with the measured neighbourhood area socioeconomic status variables. Injury hospital separation rates demonstrated an inverse relationship with neighbourhood levels of income and education. Neighbourhood area socioeconomic status differences were also associated with the injury hospital separation rates for falls among older adults, motor vehicle crashes involving motor vehicle occupants, pedestrians, cyclists and young drivers, and youth self-harm.

conclusionsThe study results show that neighbourhood levels of income, education and employment are associated with the risk of injury hospital separation. In particular, low education levels in FSAs was associated with increased risk of injury hospital separation, mainly for motor vehicle occupants, pedestrians, young drivers, and youth self-harm. The results of this study provide useful information for implementing injury prevention initiatives and interventions in BC to align with the provincial public health system and road safety strategy goals, particularly for identified priorities.

Indexed as

Deprivation indicesEducationEmploymentIncomeInjury hospital separationsInjury prioritiesSocio-economic status

Identifiers

PMID31240169
PMCPMC6556949
OpenAlexW2948444367

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.