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Prevalence and predictors of disability for Māori 24 months after injury

Overview of attention for article published in Australian and New Zealand Journal of Public Health, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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3 news outlets

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mendeley
45 Mendeley
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Article details
Title
Prevalence and predictors of disability for Māori 24 months after injury
Published in
Australian and New Zealand Journal of Public Health, March 2017
DOI 10.1111/1753-6405.12657
Pubmed ID
Authors
Abstract

To investigate post-injury disability prevalence and identify pre-injury and injury-related predictors 24 months post-injury among Māori Prospective Outcomes of Injury Study participants. Participants were recruited from New Zealand's no-fault injury insurer. Pre-injury and injury-related characteristic information was obtained from participants at three and 24 months post-injury. The World Health Organization Disability Assessment Schedule was used to measure disability. Multivariable models were developed to estimate relative risks of post-injury disability. Of 2,856 participants, 566 were Māori. Analyses were restricted to 374 Māori with pre-injury and 24-month post-injury disability data available. Pre-injury, 9% reported disability compared to 19% 24 months post-injury. Strong predictors of increased risk of disability 24 months post-injury were having ≥2 chronic conditions pre-injury and having trouble accessing healthcare services after injury. Hospitalisation for injury and having inadequate pre-injury household income were other predictors. Māori experience considerable disability 24 months post-injury. Pre-injury socio-demographic, health and psychosocial, and injury-related characteristics independently predict post-injury disability and provide focus for future research and interventions to improve Māori post-injury outcomes. Implications for public health: Despite having had access to services, injured Māori experienced considerable long-term disability. Pre-injury and injury-related factors predict long-term disability and should be the focus to reduce the post-injury disability burden for Māori.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 7 16%
Researcher 7 16%
Student > Ph. D. Student 4 9%
Student > Postgraduate 4 9%
Student > Bachelor 3 7%
Other 2 4%
Unknown 18 40%
Readers by discipline
Readers by discipline Count As %
Social Sciences 7 16%
Nursing and Health Professions 5 11%
Medicine and Dentistry 5 11%
Agricultural and Biological Sciences 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 9%
Unknown 21 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 09 August 2022.
All research outputs
#2,202,892
of 25,382,440 outputs
Outputs from Australian and New Zealand Journal of Public Health
#418
of 1,910 outputs
Outputs of similar age
#40,865
of 322,922 outputs
Outputs of similar age from Australian and New Zealand Journal of Public Health
#4
of 16 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,910 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one has done well, scoring higher than 78% 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 322,922 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.