Enhancing medication safety with System Approach to Verifying Electronic Prescriptions (SAV E-Rx): pharmacists' review of product selection outcomes between prescribed and dispensed medications.

IF 4.4 Q1 HEALTH CARE SCIENCES & SERVICES
Jun Gong, Vincent D Marshall, Megan Whitaker, Brigid Rowell, Michael P Dorsch, James P Bagian, Corey A Lester
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引用次数: 0

Abstract

Objectives: Electronic prescriptions (e-prescriptions) introduce drug product selection mismatches during pharmacy data entry. System Approach to Verifying Electronic Prescriptions (SAV E-Rx) detects and alerts pharmacy staff to clinically significant occurrences. This study evaluates outcomes of the identified mismatches.

Methods: A retrospective analysis was conducted using 1 year of e-prescriptions and dispensing data from 14 community pharmacies across 9 US states. SAV E-Rx screened the data, and flagged mismatches were reviewed by pharmacists using the Common Formats for Event Reporting. Data were analysed using descriptive statistics, the Mann-Whitney U test and χ2 tests.

Results: Of 1 250 804 records processed, 699 662 included sufficient data for comparison. Pharmacists classified 587 (88.7%) flagged records as intended mismatches and 75 (11.3%) as unintended. Intended mismatches involved ingredients (26.2%), strengths (53.7%) and dosage forms (47.4%), mainly due to prescriber-approved substitutions (62.4%). Unintended mismatches stemmed from ingredients (42.7%), strengths (36.0%) and dosage forms (54.7%) discrepancies, primarily reported as human error (82.7%) and labelling issues (76.0%). Future alerts were favoured for unintended mismatches (96.0%) compared with intended mismatches (56.7%) (p<0.001).

Discussion: While routine substitutions are a normal part of quality and timely care, unintended mismatches may pose clinical risks. These errors can arise from human factors and workflow challenges, including high prescription volumes and manual overrides. SAV E-Rx serves as an independent, automated safety net that flags mismatches, catching postdispensing errors that would otherwise go unnoticed.

Conclusions: E-prescription errors remain a safety concern. Routine implementation of SAV E-Rx could enhance error detection and enable timely interventions.

用系统方法验证电子处方(SAV E-Rx)加强用药安全:药剂师对处方和配发药物之间产品选择结果的回顾。
目的:电子处方(e-prescription)引入药房数据录入过程中的药品选择错配问题。验证电子处方的系统方法(SAV E-Rx)检测并提醒药房工作人员临床重大事件。本研究评估确定的不匹配的结果。方法:对美国9个州14家社区药房1年的电子处方和配药数据进行回顾性分析。SAV E-Rx筛选数据,并标记不匹配由药剂师使用事件报告通用格式进行审查。数据分析采用描述性统计、Mann-Whitney U检验和χ2检验。结果:处理的1 250 804份病历中,有699 662份有足够的资料可供比较。药师将587例(88.7%)标记为故意不匹配,75例(11.3%)标记为意外不匹配。预期的不匹配涉及成分(26.2%)、强度(53.7%)和剂型(47.4%),主要是由于处方批准的替代(62.4%)。意外错配源于成分(42.7%)、强度(36.0%)和剂型(54.7%)差异,主要报告为人为错误(82.7%)和标签问题(76.0%)。与预期错配(56.7%)相比,未来警报更倾向于意外错配(96.0%)(p讨论:虽然常规替代是质量和及时护理的正常组成部分,但意外错配可能会带来临床风险。这些错误可能是由人为因素和工作流挑战引起的,包括高处方量和手动覆盖。SAV E-Rx作为一个独立的、自动化的安全网,标记不匹配,捕捉分配后的错误,否则会被忽视。结论:电子处方错误仍然是一个安全问题。常规实施SAV E-Rx可以加强错误检测并及时干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.10
自引率
4.90%
发文量
40
审稿时长
18 weeks
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