1Chelsea and Westminster NHS Foundation Trust, 369 Fulham Road, London, SW10 9NH UK.
North West London Pathology, Fulham Palace Road, London, W6 8RF UK.
Antimicrob Resist Infect Control. 2019 Mar 6;8:51. doi: 10.1186/s13756-019-0496-4. eCollection 2019.
Antimicrobial resistance (AMR) is an ecological and economic crisis and stewardship of available antimicrobials is required. Electronic prescribing, where available, enables auditing of practice, yet in order to be efficient and effective in addressing inappropriate antimicrobial prescribing, better use of current and new technological interventions is needed. This retrospective observational evaluation looked at the impact of a commercial clinical decision support system (CDSS) on the workflow of an established antimicrobial stewardship (AMS) team.
MATERIAL/METHODS: Clinical, workflow, and pharmaceutical data from 3 months post implementation of CDSS were collated, and compared to the same 3 month periods in preceding years. The evaluation considered total interventions made, the types of intervention made, impact of said interventions, and time spent executing interventions. All antimicrobial data were adjusted for total daily defined doses (DDD) of intravenous antimicrobials.
In the 3 month evaluation period (Jun-Aug 2016) a total of 264 case reviews resulting in 298 AMS interventions were made. Compared to preceding years where 138 and 169 interventions were made (2013 and 2014 respectively). In 2013 49% of interventions were stopping medication and 30% change of therapy based on cultures and sensitivities compared to 25 and 17% in 2016. In contrast to previous years', the CDSS instead enabled a greater number of dose/drug optimisation (13%), escalation of antimicrobials (12%) and intravenous (IV) to oral switch (11%) interventions. Despite increased patient numbers post-CDSS, on average 46 min per day was spent compiling a patient list for review, compared to 59 min in 2014. The use of CDSS facilitated 15 interventions/1000DDD, compared to pre-intervention (9.4/1000DDD in 2013; 11.5/1000DDD in 2014).
Initial evaluation of the impact of this CDSS on AMS at the organisation has demonstrated effectiveness in terms of case finding, AMS team productivity, and workflow auditing. More importantly, patient infection management has been optimised with a shift in the emphasis of AMS interventions. It has contributed to the success of the healthcare provider achieving nationally set remunerated AMS targets.
抗菌药物耐药性(AMR)是一场生态和经济危机,需要对现有的抗菌药物进行管理。电子处方在可用时可以对实践进行审核,但为了在解决不适当的抗菌药物处方方面更有效率和更有效,需要更好地利用当前和新的技术干预措施。这项回顾性观察评估研究了商业临床决策支持系统(CDSS)对既定抗菌药物管理(AMS)团队工作流程的影响。
材料/方法:收集了 CDSS 实施后 3 个月的临床、工作流程和药物数据,并与前几年同期的相同 3 个月数据进行了比较。评估考虑了总共进行的干预措施、进行的干预措施类型、干预措施的影响以及执行干预措施所花费的时间。所有抗菌药物数据均根据静脉用抗菌药物的总日剂量(DDD)进行了调整。
在 3 个月的评估期间(2016 年 6 月至 8 月),共进行了 264 例病例复查,共进行了 298 次 AMS 干预。与前几年相比,2013 年进行了 138 次干预,2014 年进行了 169 次干预。2013 年,49%的干预措施是停止用药,30%是根据培养和药敏结果改变治疗方案,而 2016 年这两个比例分别为 25%和 17%。与前几年不同的是,CDSS 反而使更多的剂量/药物优化(13%)、抗生素升级(12%)和静脉(IV)到口服转换(11%)干预成为可能。尽管 CDSS 实施后患者人数增加,但平均每天花 46 分钟为审查编制患者名单,而 2014 年则花 59 分钟。CDSS 促成了每 1000DDD 进行 15 次干预,而干预前 2013 年为每 1000DDD 进行 9.4 次干预,2014 年为每 1000DDD 进行 11.5 次干预。
对该组织使用 CDSS 对抗菌药物管理的影响进行的初步评估表明,在病例发现、抗菌药物管理团队的工作效率和工作流程审核方面具有有效性。更重要的是,通过改变抗菌药物管理干预措施的重点,优化了患者的感染管理。这有助于医疗机构实现全国设定的有报酬的抗菌药物管理目标。