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Medical and psychosocial factors associated with antibiotic prescribing in primary care: survey questionnaire and factor analysis

Overview of attention for article published in British Journal of General Practice, January 2017
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Medical and psychosocial factors associated with antibiotic prescribing in primary care: survey questionnaire and factor analysis
Published in
British Journal of General Practice, January 2017
DOI 10.3399/bjgp17x688885
Pubmed ID
Authors

Tau-Hong Lee, Joshua Gx Wong, David Cb Lye, Mark Ic Chen, Victor Wk Loh, Yee-Sin Leo, Linda K Lee, Angela Lp Chow

Abstract

Acute upper respiratory infections (AURI) are the leading causes of antibiotic prescribing in primary care although antibiotics are often not indicated. To gain an understanding of the knowledge, attitudes, and practices (KAP) of GPs in Singapore and the associated latent factors to guide the implementation of an effective programme to reduce antibiotic use in primary care. An anonymous survey on the KAP of antibiotic use in AURI of GPs in Singapore. KAP survey questionnaires were posted to all GPs from a database. To ascertain the latent factors affecting prescribing patterns, exploratory factor analysis was performed. Among 427 responses, 351 (82.2%) were from GPs working in private practice. It was found that 58.4% of GPs in the private versus 72.4% of those in the public sector recognised that >80% of AURIs were caused by viruses (P = 0.02). The majority of GPs (353/427; 82.7%) felt that antibiotics were overprescribed in primary care. Significant factors associated with low antibiotic prescribing were good medical knowledge and clinical competency (adjusted odds ratio [aOR] 3.2, 95% confidence interval [CI] = 2.4 to 4.3), good clinical practice (aOR 2.7 [95% CI = 2.0 to 3.6]), availability of diagnostic tests (aOR 1.4 [95% CI = 1.1 to 1.8]), and desire to improve clinical practice (aOR 1.5 [95% CI = 1.2 to 1.9]). The conservative practice of giving antibiotics 'to be on the safe side' is significantly less likely to be associated with low antibiotic prescribing (aOR 0.7 [95% CI = 0.5 to 0.9]). This is the first KAP survey on antibiotic prescribing for AURI among GPs in Singapore. With the latent factors identified, future interventions should be directed at addressing these factors to reduce inappropriate antibiotic prescribing.

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The data shown below were collected from the profiles of 17 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 16%
Student > Master 17 15%
Researcher 17 15%
Student > Ph. D. Student 9 8%
Other 7 6%
Other 14 12%
Unknown 33 29%
Readers by discipline Count As %
Medicine and Dentistry 31 27%
Nursing and Health Professions 12 10%
Pharmacology, Toxicology and Pharmaceutical Science 9 8%
Psychology 7 6%
Business, Management and Accounting 4 3%
Other 16 14%
Unknown 36 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 July 2017.
All research outputs
#3,375,684
of 25,261,240 outputs
Outputs from British Journal of General Practice
#1,496
of 4,690 outputs
Outputs of similar age
#65,082
of 430,834 outputs
Outputs of similar age from British Journal of General Practice
#32
of 89 outputs
Altmetric has tracked 25,261,240 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,690 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one has gotten more attention than average, scoring higher than 68% 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 430,834 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 84% of its contemporaries.
We're also able to compare this research output to 89 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 65% of its contemporaries.