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Personalized prescription feedback to reduce antibiotic overuse in primary care: rationale and design of a nationwide pragmatic randomized trial

Overview of attention for article published in BMC Infectious Diseases, August 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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2 news outlets
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Title
Personalized prescription feedback to reduce antibiotic overuse in primary care: rationale and design of a nationwide pragmatic randomized trial
Published in
BMC Infectious Diseases, August 2016
DOI 10.1186/s12879-016-1739-0
Pubmed ID
Authors

Lars G. Hemkens, Ramon Saccilotto, Selene L. Reyes, Dominik Glinz, Thomas Zumbrunn, Oliver Grolimund, Viktoria Gloy, Heike Raatz, Andreas Widmer, Andreas Zeller, Heiner C. Bucher

Abstract

Antimicrobial resistance has become a serious worldwide public health problem and is associated with antibiotic overuses. Whether personalized prescription feedback to high antibiotic prescribers using routinely collected data can lower antibiotic use in the long run is unknown. We describe the design and rationale of a nationwide pragmatic randomized controlled trial enrolling 2900 primary care physicians in Switzerland with high antibiotic prescription rates based on national reimbursement claims data. About 1450 physicians receive quarterly postal and online antibiotic prescription feedback over 24 months allowing a comparison of the individual prescription rates with peers. Initially, they also receive evidence based treatment guidelines. The 1450 physicians in the control group receive no information. The primary outcome is the amount of antibiotics prescribed over a one year-period, measured as defined daily doses per 100 consultations. Other outcomes include the amount of antibiotics prescribed to specific age groups (<6, 6 to 18, 19 to 65, >65 years), to male and female patients, in addition to prescriptions of specific antibiotic groups. Further analyses address disease-specific quality indicators for outpatient antibiotic prescriptions, the acceptance of the intervention, and the impact on costs. This trial investigates whether continuous personalized prescription feedback on a health system level using routinely collected health data reduces antibiotic overuse. The feasibility and applicability of a web-based interface for communication with primary care physicians is further assessed. ClinTrials.gov NCT01773824 (Date registered: August 24, 2012).

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 95 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 24%
Researcher 17 18%
Student > Ph. D. Student 9 9%
Student > Bachelor 6 6%
Other 6 6%
Other 12 13%
Unknown 23 24%
Readers by discipline Count As %
Medicine and Dentistry 26 27%
Nursing and Health Professions 12 13%
Psychology 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Immunology and Microbiology 4 4%
Other 13 14%
Unknown 29 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 22 October 2018.
All research outputs
#1,593,466
of 22,882,389 outputs
Outputs from BMC Infectious Diseases
#391
of 7,690 outputs
Outputs of similar age
#30,511
of 342,741 outputs
Outputs of similar age from BMC Infectious Diseases
#7
of 193 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,690 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done particularly well, scoring higher than 94% 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 342,741 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.