Evidence map›Paper›PMID 36941561›Full record

ArticleBMC public health2023

Are threat perceptions associated with patient adherence to antibiotics? Insights from a survey regarding antibiotics and antimicrobial resistance among the Singapore public.

Si Yu Lee, Yang Shanshan, May O Lwin

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Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Si Yu LeeWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.
Yang ShanshanWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.
May O LwinWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore. tmaylwin@ntu.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublic health strategies to improve patient adherence to antibiotics rely mostly on raising awareness of the threat of antimicrobial resistance (AMR) and improving knowledge about antibiotics. We aimed to evaluate how adherence to antibiotics relates to knowledge and the threat perceptions proposed by the Protection Motivation Theory (PMT).

methodA cross-sectional online survey was conducted in September-December 2020 with 1002 participants aged 21-70 years in Singapore. Two items, which were reverse coded, evaluated adherence to antibiotics: 'how often do you obtain antibiotics that were left over from the previous prescription' and 'how often did you treat yourself with antibiotics in the past year'. Questions about the PMT-related constructs, and knowledge regarding antibiotics and AMR knowledge were also included. Hierarchical regression models were performed at a 5% significance level.

resultsAdherence to antibiotics was associated with knowledge level (β = 0.073, p < 0.05), education level (β = - 0.076, p < 0.01), and four of the five PMT constructs: "perceived response cost" (β = 0.61, p < 0.01), "perceived response efficacy of adherence to antibiotic" (β = 0.096, p < 0.01), "perceived susceptibility to AMR" (β = 0.097, p < 0.01), and "perceived severity of AMR" (β = - 0.069, p < 0.01). Knowledge about AMR, perceived self-efficacy in adhering to antibiotics, age, and sex were not associated with adherence.

conclusionsIn Singapore, patient adherence to antibiotics appear to be driven by the perceived costs of visiting a doctor to obtain antibiotics, followed by perceptions of AMR as a threat and to a lesser extent, knowledge about antibiotics. Public health strategies to mitigate antibiotic misuse should consider these patient barriers to medical care.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialCross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHumansPatient ComplianceSingaporeSurveys and QuestionnairesAnti-Bacterial AgentsAntibiotic knowledgeAntimicrobial resistance knowledgeMedication adherenceProtection motivation theory

Identifiers

PMID36941561
PMCPMC10029286

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LicenceCC BY
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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.