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Combined assessment of clinical and patient factors on doctors’ decisions to prescribe antibiotics

Overview of attention for article published in BMC Primary Care, June 2016
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Title
Combined assessment of clinical and patient factors on doctors’ decisions to prescribe antibiotics
Published in
BMC Primary Care, June 2016
DOI 10.1186/s12875-016-0463-6
Pubmed ID
Authors

Julia Strumiło, Sławomir Chlabicz, Barbara Pytel-Krolczuk, Ludmiła Marcinowicz, Dorota Rogowska-Szadkowska, Anna Justyna Milewska

Abstract

Antibiotic overprescription is a worldwide problem. Decisions regarding antibiotic prescription for respiratory tract infections (RTIs) are influenced by medical and non-medical factors. In family medicine practices in Białystok, Poland, family medicine residents directly observed consultations with patients with RTI symptoms. The observing residents completed a questionnaire including patient data, clinical symptoms, diagnosis, any prescribed antibiotic, and assessment of ten patient pressure factors. Of 1546 consultations of patients with RTIs, 54.26 % resulted in antibiotic prescription. Antibiotic prescription was strongly associated with rales (OR 26.90, 95 % CI 9.00-80.40), tonsillar exudates (OR 13.03, 95 % CI 7.10-23.80), and wheezing (OR 14.72, 95 % CI 7.70-28.10). The likelihood of antibiotic prescription was increased by a >7-day disease duration (OR 3.94, 95 % CI 2.80-5.50), purulent nasal discharge (OR 3.87, 95 % CI 2.40-6.10), starting self-medication with antibiotics (OR 4.11, 95 % CI 2.30-7.30), and direct request for antibiotics (OR 1.87, 95 % CI 1.30-2.80). Direct request not to prescribe antibiotics decreased the likelihood of receiving antibiotics (OR 0.34, 95 % CI 0.27-0.55). While clinical signs and symptoms principally impact prescribing decisions, patient factors also contribute. The most influential patient pressure factors were starting self-medication with antibiotics, and directly requesting antibiotic prescription or no antibiotic prescription. Interventions aiming to improve clinical sign and symptom interpretation and to help doctors resist direct patient pressure could be beneficial for reducing unnecessary antibiotic prescribing.

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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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 19%
Student > Ph. D. Student 11 14%
Student > Bachelor 10 13%
Researcher 9 11%
Student > Doctoral Student 5 6%
Other 14 18%
Unknown 15 19%
Readers by discipline Count As %
Medicine and Dentistry 21 27%
Nursing and Health Professions 10 13%
Social Sciences 7 9%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Immunology and Microbiology 4 5%
Other 13 16%
Unknown 18 23%
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 16 June 2016.
All research outputs
#15,516,483
of 25,371,288 outputs
Outputs from BMC Primary Care
#1,432
of 2,359 outputs
Outputs of similar age
#195,394
of 354,225 outputs
Outputs of similar age from BMC Primary Care
#18
of 24 outputs
Altmetric has tracked 25,371,288 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 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 38th percentile – i.e., 38% 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 354,225 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 24 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.