Patel Selina, Jhass Arnoupe, Hopkins Susan, Shallcross Laura
Institute of Health Informatics, University College London, London, England.
Research Department of Primary Care & Population Health, University College London, London, England.
JAC Antimicrob Resist. 2022 Sep 12;4(5):dlac092. doi: 10.1093/jacamr/dlac092. eCollection 2022 Oct.
Optimizing antimicrobial use (AMU) is key to reducing antimicrobial-resistant infections, but current AMU monitoring in hospital provides limited insights for quality improvement.
To understand stakeholders' priorities for developing national AMU surveillance in English hospitals to serve the needs of national policy makers and front-line practitioners.
Characteristics of existing AMU surveillance systems were identified from a previous systematic review and categorized by the Acceptability, Practicability, Effectiveness, Affordability, Side-effects and Equity (APEASE) criteria. Stakeholders prioritized characteristics using a two-round RAND-modified Delphi (rating round 1, telephone panel discussion, rating round 2). Findings informed the design of a framework used to assess the extent to which existing surveillance approaches meet stakeholders' needs.
Between 17/09/19 and 01/11/19, 24 stakeholders with national and local roles related to AMU prioritized 23 characteristics of AMU surveillance describing: resource for surveillance, data collection, data availability and pathways to translate information from surveillance into practice. No existing surveillance approaches demonstrated all prioritized characteristics. The most common limitation was failure to facilitate clinician engagement with AMU through delays in data access and/or limited availability of disaggregated metrics of prescribing.
Current surveillance delivers national public health priorities but improving stewardship demands patient-level data linked to clinical outcomes. This study offers a framework to develop current surveillance to meet the needs of local stakeholders in England. Increased investment in data infrastructure and training is essential to make information held within electronic systems available to front-line clinicians to facilitate quality improvement.
优化抗菌药物使用(AMU)是减少抗菌药物耐药性感染的关键,但目前医院中的AMU监测对质量改进的见解有限。
了解利益相关者在英国医院开展全国AMU监测的优先事项,以满足国家政策制定者和一线从业者的需求。
从先前的系统评价中确定现有AMU监测系统的特征,并根据可接受性、实用性、有效性、可负担性、副作用和公平性(APEASE)标准进行分类。利益相关者通过两轮兰德改良德尔菲法(第一轮评分,电话小组讨论,第二轮评分)对特征进行优先排序。研究结果为一个框架的设计提供了依据,该框架用于评估现有监测方法在多大程度上满足利益相关者的需求。
在2019年9月17日至2019年11月1日期间,24名与AMU相关的国家和地方利益相关者对AMU监测的23个特征进行了优先排序,这些特征描述了:监测资源、数据收集、数据可用性以及将监测信息转化为实践的途径。没有现有的监测方法具备所有优先排序的特征。最常见的限制是未能通过数据获取延迟和/或处方分类指标的有限可用性来促进临床医生参与AMU。
当前的监测实现了国家公共卫生优先事项,但改善管理需要与临床结果相关的患者层面数据。本研究提供了一个框架,以发展当前的监测,以满足英国地方利益相关者的需求。增加对数据基础设施和培训的投资对于使电子系统中保存的信息可供一线临床医生使用以促进质量改进至关重要。