一个药剂师驱动的干预,旨在提高门诊肾移植的用药准确性。

IF 2.2 Q2 HEALTH CARE SCIENCES & SERVICES
Drug, Healthcare and Patient Safety Pub Date : 2020-11-25 eCollection Date: 2020-01-01 DOI:10.2147/DHPS.S264022
Elizabeth A Cohen, Danielle McKimmy, Anna Cerilli, Sanjay Kulkarni
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引用次数: 9

摘要

背景:药物错误是医疗保健并发症和再入院的主要原因之一,直接源于不充分的药物清单。在移植中,药物差异可导致免疫抑制水平波动,导致排斥反应、感染或药物毒性。方法:我们实施了一项药剂师驱动的干预措施,旨在提高门诊肾移植患者电子病历(EMR)药物清单的准确性。收集基线用药错误率(第一阶段),干预是由一名专门的药剂师(第二阶段)与患者进行药物调解。主要结局是由药物调节中的任何一个错误确定的药物调节不充分的患者的百分比(第一阶段与第二阶段)。次要结局包括使用统计过程控制阶段分析确定的每个患者样本中所有药物和高危药物的药物错误数量。结果:药剂师驱动的药物协调显著减少了药物清单的差异,从95%到28% (p讨论:专职药剂师比利用移植护士和医生的传统做法提高了药物清单的准确性。对这一战略成本效益的进一步研究应进一步证明这一办法的合理性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Pharmacist-Driven Intervention Designed to Improve Medication Accuracy in the Outpatient Kidney Transplant Setting.

A Pharmacist-Driven Intervention Designed to Improve Medication Accuracy in the Outpatient Kidney Transplant Setting.

A Pharmacist-Driven Intervention Designed to Improve Medication Accuracy in the Outpatient Kidney Transplant Setting.

A Pharmacist-Driven Intervention Designed to Improve Medication Accuracy in the Outpatient Kidney Transplant Setting.

Background: Medication errors are one of the leading causes of complications and readmissions in healthcare and stem directly from inadequate medication lists. In transplantation, medication discrepancies can lead to fluctuating levels of immunosuppression, resulting in rejection, infection, or drug toxicity.

Methods: We implemented a pharmacist-driven intervention designed to improve the accuracy of outpatient kidney transplant patients' medication lists in the electronic medical record (EMR). Baseline medication error rates (Phase 1) were collected, and the intervention was a dedicated pharmacist (Phase 2) who performed medication reconciliation with patients. The primary outcome was the percent of patients with inadequate medication reconciliation determined by any one error in medication reconciliation (Phase 1 vs Phase 2). Secondary outcomes included the number of medication errors, of all medications and high-risk medications, identified per patient sample using statistical process control phase analysis.

Results: Pharmacist-driven medication reconciliation significantly reduced medication list discrepancies from 95% to 28% (P<0.05). There were a total of 398 errors in the control group and 49 errors in the intervention group. In addition, there were 73 high-risk medication discrepancies in the control group and three in the intervention group. The total number of medication errors decreased post-intervention with a marked reduction in the variation of control limits (LCL, UCL: phase 1, -34.3, 113.9; phase 2, -7.1, 15.3) and average number of medication errors per sample (phase 1, 39.8; phase 2, 14.1). For high-risk medications, phase analysis demonstrated a marked reduction in control limit variation between phases (LCL, UCL: phase 1, -10.4, 25.0; phase 2, -0.5, 0.7) and average number of medication errors per sample (phase 1, 7.3; phase 2, 0.1).

Discussion: A dedicated pharmacist improved medication list accuracy over conventional practice that utilizes transplant nurses and physicians. Further studies into the cost-effectiveness of this strategy should further justify this approach.

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来源期刊
Drug, Healthcare and Patient Safety
Drug, Healthcare and Patient Safety HEALTH CARE SCIENCES & SERVICES-
CiteScore
4.10
自引率
0.00%
发文量
24
审稿时长
16 weeks
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