| Title |
Geographic region, socioeconomic position and the utilisation of primary total joint replacement for hip or knee osteoarthritis across western Victoria: a cross-sectional multilevel study of the Australian Orthopaedic Association National Joint Replacement Registry
|
|---|---|
| Published in |
Archives of Osteoporosis, November 2017
|
| DOI | 10.1007/s11657-017-0396-2 |
| Pubmed ID | |
| Authors |
Sharon Brennan-Olsen, Sara Vogrin, Kara L. Holloway, Richard S. Page, Muhammad A. Sajjad, Mark A. Kotowicz, Patricia M. Livingston, Mustafa Khasraw, Sharon Hakkennes, Trish L. Dunning, Susan Brumby, Daryl Pedler, Alasdair Sutherland, Svetha Venkatesh, Lana J. Williams, Gustavo Duque, Julie A. Pasco |
| Abstract |
Compared to urban residents, those in rural/regional areas often experience inequitable healthcare from specialist service providers. Independent of small between-area differences in utilisation, socially advantaged groups had the greatest uptake of joint replacement. These data suggest low correlation between 'need' vs. 'uptake' of surgery in rural/regional areas. Compared to urban residents, those in rural and regional areas often experience inequitable healthcare from specialist service providers, often due to geographical issues. We investigated associations between socioeconomic position (SEP), region of residence and utilisation of primary total knee replacement (TKR) and/or total hip replacement (THR) for osteoarthritis. As part of the Ageing, Chronic Disease and Injury study, we extracted data from the Australian Orthopaedic Association National Joint Replacement Registry (2011-2013) for adults that utilised primary TKR (n = 4179; 56% female) and/or THR (n = 3120; 54% female). Residential addresses were matched with the Australian Bureau of Statistics (ABS) 2011 census data: region of residence was defined according to local government areas (LGAs), and area-level SEP (quintiles) defined using an ABS-derived composite index. The ABS-determined control population (n = 591,265; 51% female) excluded individuals identified as cases. We performed multilevel logistic regression modelling using a stratified two-stage cluster design. TKR was higher for those aged 70-79 years (AOR 1.4 95%CI 1.3-1.5; referent = 60-69 years) and in the most advantaged SEP quintile (AOR 2.1, 95%CI 1.8-2.3; referent = SEP quintile 3); results were similar for THR (70-79 years = AOR 1.7, 95%CI 1.5-1.8; SEP quintile 5 = AOR 2.5, 95%CI 2.2-2.8). Total variances contributed by the variance in LGAs were 2% (SD random effects ± 0.28) and 3% (SD ± 0.32), respectively. Independent of small between-LGA differences in utilisation, and in contrast to the expected greater prevalence of osteoarthritis in disadvantaged populations, we report greater TKR and THR in more advantaged groups. Further research should investigate whether more advantaged populations may be over-serviced. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 26% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 12 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 34% |
| Nursing and Health Professions | 3 | 8% |
| Social Sciences | 3 | 8% |
| Agricultural and Biological Sciences | 1 | 3% |
| Decision Sciences | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 14 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 November 2017.
All research outputs
#13,037,899
of 23,511,526 outputs
Outputs from Archives of Osteoporosis
#222
of 653 outputs
Outputs of similar age
#152,100
of 331,995 outputs
Outputs of similar age from Archives of Osteoporosis
#4
of 16 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 653 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 65% 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 331,995 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 53% 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.