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Mendeley readers
Attention Score in Context
| Title |
The Pattern of Opioid Management by Australian General Practice Trainees
|
|---|---|
| Published in |
Pain Medicine, September 2015
|
| DOI | 10.1111/pme.12820 |
| Pubmed ID | |
| Authors |
Simon Holliday, Simon Morgan, Amanda Tapley, Adrian Dunlop, Kim Henderson, Mieke van Driel, Neil Spike, Lawrie McArthur, Jean Ball, Chris Oldmeadow, Parker Magin |
| Abstract |
With escalating opioid prescribing come individual and public health harms. To inform quality improvement measures, understanding of opioid prescribing is essential. We aimed to establish consultation-level prevalence and associations of opioid prescribing. A cross-sectional secondary analysis from a longitudinal multisite cohort study of general practitioner (GP) vocational trainees: "Registrar Clinical Encounters in Training." Four of Australia's seventeen GP Regional Training Providers, during 2010-13. GP trainees. Practice and trainee demographic data were collected as well as patient, clinical and educational data of 60 consecutive consultations of each trainee, each training term. Outcome factors were any opioid analgesic prescription and initial opioid analgesic prescription for a specific problem for the first time. Overall, 645 trainees participated. Opioids comprised 4.3% prescriptions provided for 3.8% of patients. Most frequently prescribed were codeine (39.9%) and oxycodone (33.4%). Prescribing was for acute pain (29.3%), palliative care (2.6%) or other indications (68.1%). Most prescribing involved repeat prescriptions for pre-existing problems (62.7% of total). Other associations included older patients; prescriber and patient male gender; Aboriginal/Torres Strait Islander status; rural and disadvantaged locations; longer consultations; and generation of referrals, follow-up, and imaging requests. Opioid initiation was more likely for new patients with new problems, but otherwise associations were similar. Trainees rarely reported addiction risk-mitigation strategies. Most opioids were prescribed as maintenance therapy for non-cancer pain. Demographic associations with opioid analgesic prescribing resemble those presenting for opioid dependency treatment. Our findings should inform measures by regulators and medical educators supporting multimodal pain management. |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 137 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 16% |
| Student > Ph. D. Student | 18 | 13% |
| Researcher | 15 | 11% |
| Other | 11 | 8% |
| Student > Bachelor | 11 | 8% |
| Other | 31 | 22% |
| Unknown | 30 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 42 | 30% |
| Nursing and Health Professions | 25 | 18% |
| Psychology | 5 | 4% |
| Social Sciences | 5 | 4% |
| Sports and Recreations | 4 | 3% |
| Other | 19 | 14% |
| Unknown | 38 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 April 2017.
All research outputs
#3,786,809
of 22,815,414 outputs
Outputs from Pain Medicine
#853
of 3,028 outputs
Outputs of similar age
#49,385
of 266,791 outputs
Outputs of similar age from Pain Medicine
#38
of 82 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,028 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has gotten more attention than average, scoring higher than 71% 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 266,791 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 81% of its contemporaries.
We're also able to compare this research output to 82 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 52% of its contemporaries.