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Prevention of osteoporotic refractures in regional Australia

Overview of attention for article published in Australian Journal of Rural Health, June 2017
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Title
Prevention of osteoporotic refractures in regional Australia
Published in
Australian Journal of Rural Health, June 2017
DOI 10.1111/ajr.12355
Pubmed ID
Authors

Emily Davidson, Alexa Seal, Zelda Doyle, Kerin Fielding, Joe McGirr

Abstract

Clinical guidelines recommend that patients who sustain a minimal trauma fracture (MTF) should receive a bone mineral density (BMD) scan and bisphosphonate (or equivalent) therapy if diagnosed with osteoporosis. A pilot fracture liaison service (FLS) was implemented in regional NSW to improve adherence to the guidelines. Prospective cohort study with an historical control. Primary care. Control (n = 47) and cohort (n = 93) groups comprised patients consenting to interview who presented with a MTF to the major referral hospital 4 months before and 12 months after FLS implementation respectively. Primary outcome measures were the rates of BMD scans and anti-osteoporotic medication initiation/review after MTF. Hospital admission data were also examined to determine death and refracture rates for all patients presenting during the study period with a primary diagnosis of MTF within 3 years of their initial fracture. Although there was no improvement in BMD scanning rates, the reported rate of medication initiation/review after fracture was significantly higher (P < 0.05) in the FLS cohort. However, once adjusted for age, this association was not significant (P = 0.086). There was a lower refracture rate during the cohort period (P = 0.013), however, there were significantly more deaths (P = 0.035) within 3 years of initial fracture. When deaths were taken into account via competing risk regression, patients in the cohort period were significantly less likely to refracture than those in the control period (Hazard ratio = 0.576, P = 0.032). A rurally based nurse-led FLS was associated with modest improvement after MTF. Consideration should be given to ways to strengthen the model of care to improve outcomes.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Other 4 12%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Student > Ph. D. Student 3 9%
Other 3 9%
Unknown 9 27%
Readers by discipline Count As %
Medicine and Dentistry 10 30%
Nursing and Health Professions 5 15%
Psychology 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Social Sciences 1 3%
Other 1 3%
Unknown 11 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 June 2017.
All research outputs
#15,167,758
of 24,525,936 outputs
Outputs from Australian Journal of Rural Health
#484
of 781 outputs
Outputs of similar age
#175,776
of 321,337 outputs
Outputs of similar age from Australian Journal of Rural Health
#5
of 7 outputs
Altmetric has tracked 24,525,936 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 781 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 37th percentile – i.e., 37% 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 321,337 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.