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Inter-prescriber variability in the decision to prescribe antibiotics to febrile patients attending primary care in Myanmar

Abstract:

Background: Most antibiotic prescribing occurs in primary care. Even within the same health facility, there may be differences between prescribers in their tendency to prescribe antibiotics, which may be masked by summary data. We aimed to quantify prescriber variability in antibiotic prescription to patients with acute fever in primary care clinics in Myanmar.

Methods: We conducted a secondary analysis of prescribing data from 1090 patient consultations with 40 prescribing doctors from a trial investigating the effect of point-of-care C-reactive protein (CRP) tests on antibiotic prescription for acute fever. We used multilevel logistic regression models to assess inter-prescriber variability in the decision to prescribe antibiotics.

Results: The median odds ratio (MOR) in the unadjusted model was 1.82 (95% CI: 1.47–2.56) indicating that when two prescribers from this population are randomly selected then in half of these pairs the odds of prescription will be greater than 1.82-fold higher in one prescriber than the other. The estimated variability from this sample of prescribers corresponds to a population of prescribers where the top 25% of prescribers will prescribe antibiotics to over 41% of patients while the bottom 25% will prescribe antibiotics to less than 23% of patients. Inter-prescriber variation in antibiotic prescribing remained after adjustment for patient characteristics and CRP information (P <0.001).

Conclusions: Despite sharing the same management guidelines, there was substantial inter-prescriber variation in antibiotic prescription to patients with acute fever. This variation should be considered when designing trials and stewardship programmes aiming to reduce inappropriate antibiotic prescribing.

Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1093/jacamr/dlaa118

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Oxford college:
Wolfson College
Role:
Author
ORCID:
0000-0002-6044-8718
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Role:
Author
ORCID:
0000-0002-7620-4822
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Oxford college:
Lady Margaret Hall
Role:
Author
ORCID:
0000-0002-6997-3877
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Oxford college:
Lincoln College
Role:
Author
ORCID:
0000-0002-0237-1070
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Oxford college:
Nuffield College
Role:
Author
ORCID:
0000-0002-4704-9915



Publisher:
Oxford University Press
Journal:
JAC-Antimicrobial Resistance More from this journal
Volume:
3
Issue:
1
Article number:
dlaa118
Publication date:
2021-01-19
Acceptance date:
2020-12-08
DOI:
EISSN:
2632-1823
ISSN:
2632-1823
Pmid:
33506197


Language:
English
Keywords:
Pubs id:
1159259
Local pid:
pubs:1159259
Deposit date:
2023-06-08

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