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Decision support during electronic prescription to stem antibiotic overuse for acute respiratory infections: a long-term, quasi-experimental study

Overview of attention for article published in BMC Infectious Diseases, July 2017
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Decision support during electronic prescription to stem antibiotic overuse for acute respiratory infections: a long-term, quasi-experimental study
Published in
BMC Infectious Diseases, July 2017
DOI 10.1186/s12879-017-2602-7
Pubmed ID
Authors

Jeneen Gifford, Elisabeth Vaeth, Katherine Richards, Tariq Siddiqui, Christine Gill, Lucy Wilson, Sylvain DeLisle

Abstract

Interventions to support decision-making can reduce inappropriate antibiotic use for acute respiratory infections (ARI), but they may not be sustainable. The objective of the study is to evaluate the long-term effectiveness of a clinical decision-support system (CDSS) interposed at the time of electronic (e-) prescriptions for selected antibiotics. This is a retrospective, observational intervention study, conducted within a large, statewide Veterans Affairs health system. Participants are outpatients with an initial visit for ARI. A CDSS was deployed upon e-prescription of selected antibiotics during the study period. From 01/2004 to 05/2006 (pre-withdrawal period), the CDSS targeted azithromycin and the fluoroquinolone gatifloxacin. From 05/2006 to 12/2011 (post-withdrawal period), the CDSS was retained for azithromycin but withdrawn for the fluoroquinolone. A manual record review was conducted to determine concordance of antibiotic prescription with ARI treatment guidelines. Of 1131 included ARI visits, 380 (33.6%) were guideline-concordant. For azithromycin, concordance did not change between the pre- and post-withdrawal periods, and adjusted odds of concordance was 8.8 for the full study period, compared to unrestricted antibiotics. For fluoroquinolones, guideline concordance decreased from 88.6% (39 of 44 visits) to 51.3% (59 of 115 visits), pre- vs. post-withdrawal periods (p < 0.005). The adjusted odds of concordance compared to "All Other Antibiotics" visits decreased from 24.4 (95% CI 9.0-66.3) pre-withdrawal to 5.5 (95% CI 3.5-8.8) post-withdrawal (p = .008). Concordance did not change between those same time periods for antibiotics that were never subjected to the intervention ("All Other Antibiotics"). A CDSS interposed at the time of e-prescription of selected antibiotics can shift their use toward ARI treatment guidelines, and this effect can be maintained over the long term as long as the CDSS remains in place. Removal of the CDSS after 3.5 years of implementation resulted in a rise in guideline-discordant antibiotic use.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 25%
Researcher 8 11%
Other 7 10%
Student > Ph. D. Student 7 10%
Student > Bachelor 5 7%
Other 9 13%
Unknown 18 25%
Readers by discipline Count As %
Medicine and Dentistry 22 31%
Nursing and Health Professions 9 13%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Immunology and Microbiology 4 6%
Computer Science 3 4%
Other 10 14%
Unknown 19 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 February 2022.
All research outputs
#6,327,865
of 25,292,378 outputs
Outputs from BMC Infectious Diseases
#2,003
of 8,527 outputs
Outputs of similar age
#90,969
of 322,478 outputs
Outputs of similar age from BMC Infectious Diseases
#37
of 163 outputs
Altmetric has tracked 25,292,378 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 76% 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 322,478 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 71% of its contemporaries.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.