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Comprehensive clinical assessment of home-based older persons within New Zealand: an epidemiological profile of a national cross-section

Overview of attention for article published in Australian and New Zealand Journal of Public Health, May 2016
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1 tweeter

Citations

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19 Dimensions

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15 Mendeley
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Title
Comprehensive clinical assessment of home-based older persons within New Zealand: an epidemiological profile of a national cross-section
Published in
Australian and New Zealand Journal of Public Health, May 2016
DOI 10.1111/1753-6405.12525
Pubmed ID
Authors

Schluter, Philip J, Ahuriri-Driscoll, Annabel, Anderson, Tim J, Beere, Paul, Brown, Jennifer, Dalrymple-Alford, John, David, Timothy, Davidson, Andrea, Gillon, Deborah A, Hirdes, John, Keeling, Sally, Kingham, Simon, Lacey, Cameron, Menclova, Andrea K, Millar, Nigel, Mor, Vince, Jamieson, Hamish A

Abstract

Since 2012, all community care recipients in New Zealand have undergone a standardised needs assessment using the Home Care International Residential Assessment Instrument (interRAI-HC). This study describes the national interRAI-HC population, assesses its data quality and evaluates its ability to be matched. The interRAI-HC instrument elicits information on 236 questions over 20 domains; conducted by 1,800+ trained health professionals. Assessments between 1 July 2012 and 30 June 2014 are reported here. Stratified by age, demographic characteristics were compared to 2013 Census estimates and selected health profiles described. Deterministic matching to the Ministry of Health's mortality database was undertaken. Overall, 51,232 interRAI-HC assessments were conducted, with 47,714 (93.1%) research consent from 47,236 unique individuals; including 2,675 Māori and 1,609 Pacific people. Apart from height and weight, data validity and reliability were high. A 99.8% match to mortality data was achieved. The interRAI-HC research database is large and ethnically diverse, with high consent rates. Its generally good psychometric properties and ability to be matched enhances its research utility. This national database provides a remarkable opportunity for researchers to better understand older persons' health and health care, so as to better sustain older people in their own homes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 20%
Student > Master 3 20%
Unspecified 3 20%
Student > Ph. D. Student 2 13%
Professor > Associate Professor 2 13%
Other 2 13%
Readers by discipline Count As %
Unspecified 6 40%
Nursing and Health Professions 3 20%
Psychology 2 13%
Environmental Science 1 7%
Linguistics 1 7%
Other 2 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 July 2016.
All research outputs
#4,273,999
of 8,082,727 outputs
Outputs from Australian and New Zealand Journal of Public Health
#933
of 1,104 outputs
Outputs of similar age
#130,457
of 236,058 outputs
Outputs of similar age from Australian and New Zealand Journal of Public Health
#13
of 14 outputs
Altmetric has tracked 8,082,727 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 236,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.