Prevalence and predictors of non-adherence to short-term antibiotics: A population-based survey

Almomani, Basima A.; Hijazi, Bushra; Awwad, Oriana; Khasawneh, Rawand A

doi:10.1371/journal.pone.0268285

Cited by 10 publications

(4 citation statements)

References 31 publications

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“…The prevalence of nonadherence in this study, especially the early stopping of antibiotics prescriptions (76.56%), is higher than that reported in a meta-analysis, where the rate antibiotic nonadherence behaviours in China was 48% (13). This is also higher than the results reported in Jordan (32.10%) (58), France (35.5%) (59), Portugal (57.7%) (12), and Ethiopia (60.1%) (60). The irrational use of antibiotics by individuals identified in these studies can contribute to the spread of AMR and requires urgent and coordinated action.…”

Section: Discussioncontrasting

confidence: 77%

The public’s antibiotic use behavioural patterns and their determinants for upper respiratory tract infections: a latent class analysis based on consumer behaviour model in China

Lin,

Duan,

Liu

et al. 2023

Front. Public Health

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BackgroundThe irrational use of antibiotics among the public is a major contributor to antimicrobial resistance (AMR), which is a serious global threat. Prior studies have demonstrated that there are different behavioural patterns regarding antibiotic use among the public, and targeted interventions for subgroups with different behavioural patterns may be more effective. Thus, this study aimed to identify the public’s behavioural patterns of antibiotic use for upper respiratory tract infections (URTIs) and their influencing factors.MethodsA cross-sectional survey was conducted among the general population in Chongqing, China. Consumer decision-making (Consumer Behaviour Model, CBM) was used to assess the public’s behaviours regarding antibiotic use, including need recognition, information searching, alternative evaluation, obtaining antibiotics, antibiotic consumption, and postuse evaluation. Furthermore, a latent class analysis was used to identify the underlying behavioural patterns among the public. The identified behavioural patterns of antibiotic use were further linked with individuals’ capacity, opportunity, and motivation factors of antibiotic use based on a multinominal logistic regression to explore possible determinants.ResultsA total of 815 respondents were enrolled in the study. The public’s irrational use of antibiotics was prevalent, including antibiotic self-medication (39.63%), nonprescription antibiotic purchasing (59.02%), and early stopping of antibiotic prescriptions (76.56%). Participants had inadequate knowledge of antibiotics (Mean = 2.33, SD = 1.71), reported high availability to antibiotics (Mean = 7.13, SD = 2.41), held strong belief in antibiotic effectiveness (Mean = 10.29, SD = 2.71), and demonstrated a high perceived threat of AMR (Mean = 12.30, SD = 3.20). Four behavioural patterns regarding antibiotic use for URTIs were identified, namely, “antibiotic self-medicators” (n = 165, 20.25%), “formal health care seekers” (n = 216, 26.50%), “various treatment users” (n = 198, 24.20%), and “self-medication without antibiotics” (n = 236, 28.96%). Individuals’ self-efficacy of antibiotic use, belief in antibiotic effectiveness, awareness of antibiotic side effects, perceived antibiotic availability, social influence, and demographics (age, education, medical insurance, and having a medical background) were significantly associated with the public’s different behavioural patterns of antibiotic use for URTIs.ConclusionThis study calls for collaborative efforts among the public, physicians, policy makers, and the implementation of precise and multifaceted interventions to effectively reduce irrational use of antibiotics in the public. Such interventions include identifying subgroups within the public to provide more targeted education about antibiotics and the management of URTIs, reinforcing the regulation of antibiotic dispensing, and improving physicians’ rational antibiotic prescriptions.

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Section: Discussioncontrasting

confidence: 77%

The public’s antibiotic use behavioural patterns and their determinants for upper respiratory tract infections: a latent class analysis based on consumer behaviour model in China

Lin,

Duan,

Liu

et al. 2023

Front. Public Health

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“…Estimates of the probability of not encountering antibiotics (or P A ) are challenging to estimate. Antibiotic adherence has been shown to vary with age, type or duration of treatment, socioeconomic status, and personality ( [46], [47]). Estimates of the prevalence of non-adherence range from 30% to 70% of patients ( [48], [49]).…”

Section: Antibiotic Persistence In Salmonella Typhimuriummentioning

confidence: 99%

Beyond the (geometric) mean: stochastic models undermine deterministic predictions of bet hedger evolution

Weissman,

Raynes,

Weinreich

2023

Preprint

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Bet hedging is a ubiquitous strategy for risk reduction in the face of unpredictable environmental change where a lineage lowers its variance in fitness across environments at the expense of also lowering its arithmetic mean fitness. Previously, deterministic research has quantified this trade-off using geometric mean fitness (GMF), and has found that bet hedging is expected to evolve if and only if it has a higher GMF than the wild-type. We introduce a novel stochastic framework that leverages both individual-based simulations and Markov chain numerics to capture the effects of stochasticity in the phenotypic distribution of diversified bet hedger offspring, in environmental regime, and in reproductive output. We find that modeling stochasticity can alter the sign of selection for the bet hedger compared to the deterministic predictions. We show that stochasticity in phenotype and in environment drive the sign of selection to differ from the deterministic prediction in opposing ways: phenotypic stochasticity causes bet hedging to be less beneficial than predicted, while environmental stochasticity causes bet hedging to be more beneficial than predicted. We conclude that existing, deterministic methods may not be sufficient to predict when bet hedging traits are adaptive.

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“…Amoksicillin skal helst doseres tre ganger i døgnet, mens penicillin helst skal doseres fire ganger i døgnet (4,23). Økt antall administreringer reduserer sjansen for god etterlevelse (24). Biotilgjengeligheten er også bedre for amoksicillin (74-92 %) enn penicillin (60-70 %) -som er et viktig poeng når rammen rundt administrering er utfordrende (6).…”

Section: Farmakodynamikk Og -Kinetikkunclassified

Penicillin for enhver pris?

Thaulow¹,

Klingenberg²

2023

Tidsskriftet

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Christian Magnus Thaulow er ph.d., spesialist i barnesykdommer og overlege ved Barne-og ungdomsklinikken, Haukeland universitetssjukehus. Forfatteren har fylt ut ICMJE-skjemaet og oppgir ingen interessekonflikter. Claus Klingenberg er ph.d., spesialist i barnesykdommer, seksjonsoverlege ved Barne-og ungdomsklinikken, Universitetssykehuset Nord-Norge og professor ved Institutt for klinisk medisin, UiT Norges arktiske universitet. Forfatteren har fylt ut ICMJE-skjemaet og oppgir ingen interessekonflikter.Barn i trassalderen og bitre penicillinblandinger fire ganger i døgnet er en vanskelig kombinasjon. Smalspektret antibiotika er gullstandarden, men må balanseres opp mot barnets ubehag og etterlevelse av behandlingen.

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Prevalence and predictors of non-adherence to short-term antibiotics: A population-based survey

Cited by 10 publications

References 31 publications

The public’s antibiotic use behavioural patterns and their determinants for upper respiratory tract infections: a latent class analysis based on consumer behaviour model in China

The public’s antibiotic use behavioural patterns and their determinants for upper respiratory tract infections: a latent class analysis based on consumer behaviour model in China

Beyond the (geometric) mean: stochastic models undermine deterministic predictions of bet hedger evolution

Penicillin for enhver pris?

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