School of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen, UK.
College of Pharmacy, QU Health, Qatar University, Doha, Qatar.
J Hosp Infect. 2022 Apr;122:72-83. doi: 10.1016/j.jhin.2022.01.007. Epub 2022 Jan 22.
To identify and quantify potential determinants of antimicrobial prescribing behaviour, using the Theoretical Domains Framework (TDF).
A cross-sectional survey involving doctors (∼4000) and pharmacists (∼400) working within Hamad Medical Corporation (HMC), Qatar. An online questionnaire, developed with reference to the TDF, included: personal and practice demographics, and Likert statements on potential determinants of antimicrobial prescribing practice. Analysis included principal component analysis (PCA), descriptive and inferential statistics.
In total, 535 responses were received, 339 (63.4%) from doctors. Respondents were predominantly male, 346 (64.7%). Just over half (N = 285, 53.3%) had ≤5 years' experience. PCA showed a three-component (C) solution: 'Guidelines compliance' (C1), 'Influences on practice' (C2) and 'Self-efficacy' (C3). The scales derived for each component had high internal consistency (Cronbach's alphas >0.7), indicating statistical appropriateness for developing scales. Respondents generally scored highly for 'Guidelines compliance' and 'Self-efficacy'. The lowest levels of positive scores were in relation to the items within the 'Influences on practice' component, with particular focus on TDF domains, environmental context and resources, and social influences. Inferential analysis comparing component scores across demographic characteristics showed that doctors, the more qualified and those with greater experience, were more likely to be positive in responses.
This study has identified that environmental context and resources, and social influences, with an emphasis on pharmacists and early career clinicians, may be useful targets for behaviour change interventions to improve clinicians' antimicrobial prescribing, thereby reducing antimicrobial resistance rates. Such interventions should focus on appropriate linked behaviour-change techniques.
使用理论领域框架(TDF)识别和量化抗菌药物处方行为的潜在决定因素。
这是一项横断面调查,涉及在卡塔尔哈马德医疗保健公司(HMC)工作的医生(约 4000 人)和药剂师(约 400 人)。在线问卷的开发参考了 TDF,包括个人和实践人口统计学以及抗菌药物处方实践潜在决定因素的李克特陈述。分析包括主成分分析(PCA)、描述性和推断性统计。
共收到 535 份回复,其中 339 份(63.4%)来自医生。受访者主要为男性,346 人(64.7%)。略多于一半(N=285,53.3%)的人有≤5 年的经验。PCA 显示了一个三成分(C)解决方案:“遵守指南”(C1)、“对实践的影响”(C2)和“自我效能”(C3)。为每个成分推导的量表具有较高的内部一致性(Cronbach 的 alpha 值>0.7),表明开发量表的统计适当性。受访者普遍对“遵守指南”和“自我效能”评分较高。与“对实践的影响”成分内的项目相关的评分最低,特别关注 TDF 领域、环境背景和资源以及社会影响。对人口统计学特征的比较分析表明,医生、更合格的医生和经验更丰富的医生在回答中更有可能持积极态度。
本研究表明,环境背景和资源以及社会影响,特别是药剂师和早期职业临床医生,可能是针对行为改变干预措施的有用目标,以改善临床医生的抗菌药物处方,从而降低抗菌药物耐药率。此类干预措施应侧重于适当的关联行为改变技术。