背景:由于滥用抗菌药物而引起的效力变化与广泛的健康和死亡率相关问题有关。抗生素使用问卷(AUQ)是一种基于计划行为(TpB)因素理论的理论驱动措施,旨在调查抗生素使用行为的驱动因素。这项研究的目的是在类似的澳大利亚确认队列中复制试点研究的因子结构,并通过调查因素结构在中国识别队列中是否成立来扩展这一点。
方法:将AUQ传播到两个队列:一个与原始研究相似的确认队列,和一个中国识别队列。对两组数据独立完成数据分析,和组合数据集。使用具有varimax旋转的正交主成分分析来评估因子结构,其次是一般线性模型,以确定TpB因素对报告的抗生素使用的影响。
结果:来自确认队列的370名参与者回答,在对数据进行回顾后,我们保留了来自中国人识别队列的384份应答进行分析.结果显示,两个队列的内部可靠性水平适中但可接受。社会规范,态度、信念和知识之间的相互作用是两个队列中自我报告的抗生素使用的显著预测因子.在确认队列医疗培训是一个重要的预测因素,在中国识别队列教育是一个显著的预测因素。所有其他测试的预测因子与自我报告的抗生素使用的结果变量没有显着关系。
结论:本研究在确认队列中成功复制了AUQ的因子结构,以及在文化或法律上被认定为中国人的群体,确定在跨文化调查时保留因子结构。这项研究还强调了对AUQ、这可以确定社会有多不同,文化,和社区因素可以影响什么预测滥用抗生素。未来的研究将需要确定该工具可用于指导定制社区水平干预措施以协助管理抗菌素耐药性的全部程度。
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.