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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
Philip J Schluter, Annabel Ahuriri-Driscoll, Tim J Anderson, Paul Beere, Jennifer Brown, John Dalrymple-Alford, Timothy David, Andrea Davidson, Deborah A Gillon, John Hirdes, Sally Keeling, Simon Kingham, Cameron Lacey, Andrea K Menclova, Nigel Millar, Vince Mor, Hamish A Jamieson |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 13% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Doctoral Student | 5 | 8% |
| Professor | 4 | 7% |
| Other | 4 | 7% |
| Other | 13 | 21% |
| Unknown | 21 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 20% |
| Psychology | 8 | 13% |
| Medicine and Dentistry | 8 | 13% |
| Social Sciences | 4 | 7% |
| Sports and Recreations | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 25 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 May 2020.
All research outputs
#7,960,693
of 25,374,917 outputs
Outputs from Australian and New Zealand Journal of Public Health
#1,028
of 1,909 outputs
Outputs of similar age
#111,799
of 333,262 outputs
Outputs of similar age from Australian and New Zealand Journal of Public Health
#5
of 13 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,909 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one is in the 45th percentile – i.e., 45% 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 333,262 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.