Knowledge and Perceptions of Antibiotic Resistance in the French Population

A confirmation of the predictive utility of the Antibiotic Use Questionnaire

BACKGROUND

The change in the efficacy of antimicrobial agents due to their misuse is implicated in extensive health and mortality related concerns. The Antibiotics Use Questionnaire (AUQ) is a theory driven measure based on the Theory of Planned Behaviour (TpB) factors that is designed to investigate drivers of antibiotic use behaviour. The objective of this study is to replicate the factor structure from the pilot study within a similar Australian confirmation cohort, and to extend this through investigating if the factor structure holds in a Chinese-identifying cohort.

METHODS

The AUQ was disseminated to two cohorts: a confirmation cohort similar to the original study, and a Chinese identifying cohort. Data analysis was completed on the two data sets independently, and on a combined data set. An orthogonal principal components analysis with varimax rotation was used to assess the factor structure, followed by general linear models to determine the influence of the TpB factors on reported antibiotic use.

RESULTS

370 participant responses from the confirmation cohort, and 384 responses from the Chinese-identifying cohort were retained for analysis following review of the data. Results showed modest but acceptable levels of internal reliability across both cohorts. Social norms, and the interaction between attitudes and beliefs and knowledge were significant predictors of self-reported antibiotic use in both cohorts. In the confirmation cohort healthcare training was a significant predictor, and in the Chinese-identifying cohort education was a significant predictor. All other predictors tested produced a nonsignificant relationship with the outcome variable of self-reported antibiotic use.

CONCLUSIONS

This study successfully replicated the factor structure of the AUQ in a confirmation cohort, as well as a cohort that identified as culturally or legally Chinese, determining that the factor structure is retained when investigated across cultures. The research additionally highlights the need for a measure such as the AUQ, which can identify how differing social, cultural, and community factors can influence what predicts indiscriminate antibiotic use. Future research will be required to determine the full extent to which this tool can be used to guide bespoke community level interventions to assist in the management of antimicrobial resistance.

Late delivery of antibiotics: a new proxy for antimicrobial stewardship?

OBJECTIVES

To analyse the time elapsed between the prescription of antibiotics and their pick-up at the pharmacy and identify their determinants.

METHODS

We used the National Health Insurance reimbursement databases on antibiotics delivery in 2021 in La Manche, Western France. Delayed delivery was defined as the time between prescription and antibiotic pick-up of >24 hours.

RESULTS

We enrolled 207 250 prescriptions, of whom 18 728 (9.0%) collected their antibiotics at the community pharmacy >24 hours after prescription. Independent factors associated with delayed delivery were age >15 years (15-64 years: OR, 2.08 [1.98-2.19]; p < 0.001 and >65 years OR, 3.27 [3.09-3.46]; p < 0.001), male sex (OR, 00.77 [0.75-0.80]; p < 0.001), low income (OR, 1.08 [1.02-1.15]; p = 0.013), chronic diseases (OR, 1.29 [1.25-1.34]; p < 0.001), prescription during the weekend (OR, 1.49 [1.43-1.56]; p < 0.001), summer season (OR, 1.11 [1.07-1.16]; p < 0.001), lock-down period (OR, 4.15 [3.80-4.53]; p < 0.001), and distance from the patient home to his general practitioner office and the pharmacy >10 km (OR, 1.17 [1.13-1.21]; p < 0.001).

DISCUSSION

The delayed delivery of antibiotics after prescription is not uncommon, especially in elderly patients, those with low income or chronic diseases, in case of weekend prescriptions, summer season and when the pharmacy is > 10 km away from the patient's home and his general practitioner office. If confirmed, this potential indicator of unnecessary prescriptions, readily available in some databases, may be used to target antimicrobial stewardship programmes and monitor the effect of interventions.

The effect of information provision on consumers' risk perceptions of, support for a ban, and behavioral intention towards the preventive use of antibiotics in food animals

BACKGROUND

Antibiotics have been widely used in feed and drinking water for food animals to prevent them from getting sick. Such preventive use of antibiotics has become a contributor to increasing antibiotic resistance and thus poses threats to human health. However, consumers have little knowledge about this practice and the associated health risks of increasing transmission of antibiotic residues and antibiotic resistant bacteria. This study aimed to examine the effect of information provision on consumers' risk perceptions, support for a ban, and behavioral intention regarding the preventive use of antibiotics in food animals. Especially, the study sought to test two competing hypotheses which were informed by two theoretical perspectives of fear appeal theory - the linear model and the plateau effect model. The former suggested that providing information on the health risks of both antibiotic residues and antibiotic resistant bacteria would have a stronger effect compared to providing information on only one of them, while the latter posited that providing information on both risks might not have additional influence, as the effect of information on either risk could reach the plateau.

METHODS

An experimental study with four conditions was conducted where participants read different information on the health risks associated with the preventive use first and then answered questions regarding consumers' risk perceptions, support for a ban, and behavioral intention regarding the preventive use. Condition 1 was the control condition, where basic information about antibiotics, antibiotic resistance, and the preventive use was provided. Condition 2 and Condition 3 further added information on the health risk of antibiotic residues (Condition 2) and antibiotic resistant bacteria (Condition 3) due to the preventive use, respectively. Condition 4 provided all information contained in the first three conditions.

RESULTS

The results showed that compared to participants in the control condition, participants in Conditions 2-4 reported higher risk perceptions, stronger support for a ban on the preventive use, and a higher intention to buy meat produced without the preventive use of antibiotics. However, there were no significant differences in these factors between Conditions 2-4, indicating that providing information on the health risk of either antibiotic residues, or antibiotic resistant bacteria, or both, has similar effect on these variables. That is, the hypothesis based on the plateau effect model was supported.

CONCLUSIONS

The findings suggested that informing the public with the health risk of either antibiotic residues or antibiotic resistant bacteria associated with the preventive use is effective enough to reach plateau effect in increasing risk perceptions, support for a ban, and behavioral intention, which has important implications for policymakers and livestock industries to develop effective communication strategies to promote responsible antibiotic use in food animals.

Attitudes, Knowledge, Risk Perception of Antimicrobial Resistance and Antibiotic Use Behaviors: A Cross-Sectional Survey in a Young Adult Population

Background: The emergence and spread of bacterial resistance to antibiotics is a major threat to global public health. There is strong evidence that the general public plays a role in the emergence and spread of antimicrobial resistance. Objective: In this study, the impact of attitudes, knowledge, and risk perception of antimicrobial resistance on students' antibiotic use behaviors was investigated. Methods: A cross-sectional survey was conducted using a questionnaire with a sample of 279 young adults. Descriptive analysis and hierarchical regression analyses were used to analyze the data. Results: The results indicated that positive attitudes, a minimal level of knowledge about antimicrobial resistance, and awareness of the seriousness of this phenomenon have a positive influence on the appropriate use of antibiotics. Conclusions: Overall, the results of this study highlight the need for awareness campaigns that provide the public with accurate information about the risks associated with antibiotic resistance and appropriate antibiotic use.