医学
药方
抗菌管理
干预(咨询)
抗生素
抗生素管理
感染控制
临床决策支持系统
家庭医学
急诊医学
医疗保健
抗生素耐药性
重症监护医学
护理部
经济
微生物学
生物
经济增长
作者
Elizabeth Cross,Katy Sivyer,Jasmin Islam,Marta Santillo,Fiona Mowbray,Tim Peto,A. Sarah Walker,Lucy Yardley,Martin J. Llewelyn
标识
DOI:10.1016/j.jhin.2019.07.017
摘要
Background Antimicrobial stewardship initiatives in secondary care depend on clinicians undertaking antibiotic prescription reviews but decisions to limit antibiotic treatment at review are complex. Aim To assess the feasibility and acceptability of implementing ARK (Antibiotic Review Kit), a behaviour change intervention made up of four components (brief online tool, prescribing decision aid, regular data collection and feedback process, and patient leaflet) to support stopping antibiotic treatment when it is safe to do so among hospitalized patients; before definitive evaluation through a stepped-wedge cluster-randomized controlled trial. Methods Acceptability of the different intervention elements was assessed for a period of 12 weeks by uptake of the online tool, adoption of the decision aid into prescribing practice, and rates of decisions to stop antibiotics at review (assessed through repeated point-prevalence surveys). Patient perceptions of the information leaflet were assessed through a brief questionnaire. Findings All elements of the intervention were successfully introduced into practice. A total of 132 staff encompassing a broad range of prescribers and non-prescribers completed the online tool (19.4 per 100 acute beds), including 97% (32/33) of the pre-specified essential clinical staff. Among 588 prescription charts evaluated in seven point-prevalence surveys over the 12-week implementation period, 82% overall (76–90% at each survey) used the decision aid. The median antibiotic stop rate post implementation was 36% (range: 29–40% at each survey) compared with 9% pre implementation (P < 0.001). Conclusion ARK provides a feasible and acceptable mechanism to support stopping antibiotics safely at post-prescription reviews in an acute hospital setting.
科研通智能强力驱动
Strongly Powered by AbleSci AI