Evidence map›Paper›PMID 39624064›Full record

ArticleFrontiers in veterinary science2024

Expectation of antibiotics amongst owners of dogs and/or cats during non-routine visits to veterinary clinics in Singapore: a cross-sectional study.

Seema Aithal, Huiling Guo, Boon Han Teo, Timothy Chua, Zoe Jane-Lara Hildon, Angela Chow

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Seema AithalTan Tock Seng Hospital, Singapore, Singapore.
Huiling GuoTan Tock Seng Hospital, Singapore, Singapore.
Boon Han TeoSingapore Veterinary Association, Singapore, Singapore.
Timothy ChuaBeecroft Animal Specialist and Emergency Hospital, Singapore, Singapore.
Zoe Jane-Lara HildonSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Angela ChowTan Tock Seng Hospital, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The present study aimed to assess the factors associated with pet owners' expectations for receiving antibiotics for their pet dogs and/or cats and the factors associated with pets (dogs and/or cats) receiving antibiotics during non-routine veterinary clinic consultations in Singapore. Methods: A cross-sectional study was conducted on consenting pet owners who attended 16 veterinary clinics in Singapore, between March and December 2023. An online survey measured participants' knowledge of antibiotic use, prior antibiotic use experience, expectation for antibiotics and receipt of antibiotics during the last non-routine clinic consultation for their pets. Multivariable logistic regression models were used to determine the factors associated with expectation of antibiotics and receipt of antibiotics. Results: Among the 821 pet owners, over one-in-four (27.5%) expected antibiotics. Owners with prior antibiotic use (adjusted OR 5.18, 95%CI 2.85-9.42) and poor knowledge of antibiotic use (adjusted OR 1.69, 95% CI 1.21-2.35) were 5 times and nearly 2 times as likely as owners without prior antibiotic use and those with good knowledge of antibiotic use respectively, to expect antibiotics for their pets. After adjusting for potential confounders, owners who expected antibiotics (adjusted OR 12.09, 95% CI 7.83-18.68) and had prior antibiotic use for their pets (adjusted OR 8.57, 95% CI 4.75-15.47) were more likely to receive antibiotics for their pets. Conclusion: Factors which significantly influenced expectation of antibiotics in pet owners included poor knowledge of antibiotic use and prior usage of antibiotics. This highlights the importance of effective communication by veterinarians to mitigate pet owners' expectations to address inappropriate antibiotic prescribing.

Indexed as

antibiotic expectationantimicrobial resistanceOne Healthpet ownerssurvey

Identifiers

PMID39624064
PMCPMC11609168

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.