Duke Center for Antimicrobial Stewardship and Infection Prevention,Duke University School of Medicine,Durham, North Carolina.
Centers for Disease Control and Prevention,Atlanta, Georgia.
Infect Control Hosp Epidemiol. 2019 Aug;40(8):847-854. doi: 10.1017/ice.2019.118. Epub 2019 May 28.
To assess the feasibility of electronic data capture of postdischarge durations and evaluate total durations of antimicrobial exposure related to inpatient hospital stays.
Multicenter, retrospective cohort study.
Two community hospitals and 1 academic medical center.
Hospitalized patients who received ≥1 dose of a systemic antimicrobial agent.
We collected and reviewed electronic data on inpatient and discharge antimicrobial prescribing from April to September 2016 in 3 pilot hospitals. Inpatient antimicrobial use was obtained from electronic medication administration records. Postdischarge antimicrobial use was calculated from electronic discharge prescriptions. We completed a manual validation to evaluate the ability of electronic prescriptions to capture intended postdischarge antibiotics. Inpatient, postdischarge, and total lengths of therapy (LOT) per admission were calculated to assess durations of antimicrobial therapy attributed to hospitalization.
A total of 45,693 inpatient admissions were evaluated. Antimicrobials were given during 23,447 admissions (51%), and electronic discharge prescriptions were captured in 7,442 admissions (16%). Manual validation revealed incomplete data capture in scenarios in which prescribers avoided the electronic system. The postdischarge LOT among admissions with discharge antimicrobials was median 8 days (range, 1-360) with peaks at 5, 7, 10, and 14 days. Postdischarge days accounted for 38% of antimicrobial exposure days.
Discharge antimicrobial therapy accounted for a large portion of antimicrobial exposure related to inpatient hospital stays. Discharge prescription data can feasibly be captured through electronic prescribing records and may aid in designing stewardship interventions at transitions of care.
评估出院后持续时间电子数据采集的可行性,并评估与住院相关的抗菌药物暴露的总持续时间。
多中心、回顾性队列研究。
两家社区医院和一家学术医疗中心。
接受≥1 剂全身抗菌药物的住院患者。
我们在 3 家试点医院收集并回顾了 2016 年 4 月至 9 月期间的住院和出院抗菌药物处方的电子数据。住院期间的抗菌药物使用情况从电子药物管理记录中获得。出院后抗菌药物的使用情况从电子出院处方中计算得出。我们进行了手动验证,以评估电子处方捕捉预期出院抗生素的能力。根据入院计算每例住院的入院后、总治疗时间(LOT),以评估与住院相关的抗菌治疗持续时间。
共评估了 45693 例住院患者。23447 例(51%)接受了抗菌药物治疗,7442 例(16%)记录了电子出院处方。手动验证显示,在医生避免使用电子系统的情况下,数据采集不完整。有出院抗菌药物的住院患者的出院后 LOT 中位数为 8 天(范围,1-360),高峰在 5、7、10 和 14 天。出院天数占抗菌药物暴露天数的 38%。
出院抗菌治疗占与住院相关的抗菌药物暴露的很大一部分。通过电子处方记录可以方便地采集出院处方数据,这可能有助于在治疗过渡时设计管理干预措施。