Zhejiang University, Hangzhou, Zhejiang, PR China.
University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland.
Clin Microbiol Infect. 2022 Mar;28(3):345-354. doi: 10.1016/j.cmi.2021.10.017. Epub 2021 Nov 10.
In the past two decades, human antibiotic consumption has increased globally, contributing to the emergence and spread of antimicrobial resistance and needing urgent effective actions. Our objectives were to systematically identify and collate studies exploring non-biomedical factors influencing healthcare consumers' antibiotic use globally, in order to inform future interventions to improve practices in antibiotic use.
Data sources were PubMed, EMBASE, PsycINFO, and Cochrane. Study eligibility criteria were original and empirical studies that identified factors for healthcare consumers' antibiotic use. Participants were healthcare consumers. Assessment of risk of bias used adapted BMJ survey appraisal tools, the Critical Appraisal Skills Programme checklist, and the Mixed Methods Appraisal Tool for quality assessment. Methods of data synthesis employed the Social Ecological Framework and Health Belief Model for data synthesis. We did random-effects meta-analyses to pool the odds ratios of risk factors for antibiotic use.
We included 71 articles for systematic review and analysis; 54 were quantitative, nine were qualitative, and eight were mixed-methods studies. Prevalent non-prescription antibiotic use and irresponsible prescriptions were reported globally, especially in low-to-middle-income countries. Barriers to healthcare-wait time, transportation, stigmatization-influenced people's practices in antibiotic use. Further, lack of oversight and regulation in the drug manufacturing and a weak supply chain have led to the use of substandard or falsified antibiotics. Knowledge had mixed effects on antibiotic use behaviours. Meta-analyses identified pro-attitudes towards self-medication with antibiotics, relatives having medical backgrounds, older age, living in rural areas, and storing antibiotics at home to be risk factors for self-medication with antibiotics.
Non-prescription antibiotic use and irresponsible prescriptions in the community are prevalent in all WHO regions and are driven largely by a mixed collection of non-biomedical factors specific to the respective setting. Future antimicrobial resistance strategies should incorporate an implementation science approach for community-based complex interventions that address drivers of the target behaviours tailored to local contexts.
在过去的二十年中,人类抗生素的消耗量在全球范围内不断增加,导致了抗菌药物耐药性的出现和传播,因此需要采取紧急有效的行动。我们的目的是系统地识别和整理全球范围内探索影响医疗保健消费者抗生素使用的非生物医学因素的研究,以便为未来改善抗生素使用实践的干预措施提供信息。
数据来源为 PubMed、EMBASE、PsycINFO 和 Cochrane。研究纳入标准为识别医疗保健消费者抗生素使用因素的原始和实证研究。研究对象为医疗保健消费者。采用改良的 BMJ 调查评估工具、关键评估技能计划清单和混合方法评估工具对偏倚风险进行评估。数据综合方法采用社会生态学框架和健康信念模型进行数据综合。我们采用随机效应荟萃分析来汇总抗生素使用风险因素的优势比。
我们纳入了 71 篇系统评价和分析文章;其中 54 篇为定量研究,9 篇为定性研究,8 篇为混合方法研究。全球范围内都有非处方抗生素的普遍使用和不负责任的处方,特别是在中低收入国家。医疗保健方面的障碍(如等待时间长、交通不便、污名化)影响了人们的抗生素使用行为。此外,药物制造缺乏监督和监管以及薄弱的供应链导致了劣药和假药的使用。知识对抗生素使用行为的影响喜忧参半。荟萃分析确定了对自我医疗用抗生素的积极态度、亲属有医学背景、年龄较大、居住在农村地区以及在家中储存抗生素是自我医疗用抗生素的风险因素。
在所有世界卫生组织区域,社区中非处方抗生素的使用和不负责任的处方都很普遍,主要是由特定于各自环境的一系列非生物医学因素驱动的。未来的抗菌药物耐药性策略应将实施科学方法纳入基于社区的复杂干预措施中,针对目标行为的驱动因素,并根据当地情况进行调整。