Suppr超能文献

入院时具有临床意义的药师干预的预测因素。

Predictive factors for clinically significant pharmacist interventions at hospital admission.

作者信息

Mongaret Céline, Quillet Pauline, Vo Thi Ha, Aubert Léa, Fourgeaud Mathieu, Michelet-Huot Elise, Bonnet Morgane, Bedouch Pierrick, Slimano Florian, Gangloff Sophie C, Drame Moustapha, Hettler Dominique

机构信息

Pharmacy Department, University Hospital of Reims, Rue du General Koenig UFR of Pharmacy, Reims Champagne Ardennes BIOS URCA; Reims Cedex University Grenoble Alpes/CNRS, ThEMAS TIMC UMR, Grenoble Cedex University of Reims Champagne Ardennes, Research Unit MEDyC UMR CNRS/URCA, rue Cognacq Jay, Reims Cedex Pharmacy Department, University Hospital of Grenoble, Hôpital Michallon, Grenoble Cedex Department of Research and Innovation, University Hospital of Reims, Reims, France.

出版信息

Medicine (Baltimore). 2018 Mar;97(9):e9865. doi: 10.1097/MD.0000000000009865.

Abstract

Pharmaceutical care activities at hospital admission have a significant impact on patient safety. The objective of this study was to identify predictive factors for clinically significant pharmacist interventions (PIs) performed during medication reconciliation and medication review at patient hospital admission.A 4-week prospective study was conducted in 4 medicine wards. At hospital admission, medication reconciliation and medication review were conducted and PIs were performed by the pharmaceutical team. The clinical impact of PIs was determined using the clinical economic and organizational (CLEO) tool. Clinical characteristics, laboratory results, and medication data for each patient were collected and analyzed as potential predictive factors of clinically significant PIs. Univariate and multivariate binary logistic regression were subsequently used to identify independent predictive factors for clinically relevant PIs.Among 265 patients admitted, 150 patients were included. Among 170 PIs performed at hospital admission, 71 were related to unintentional discrepancies (41.8%) during medication reconciliation, and 99 were related to drug-related problems (DRPs) (58.8%) during medication review. Overall, 115 PIs (67.7%) were considered to have a clinical impact. By multivariate analysis, number of medications ≥5 (P = .01) based on the best possible medication history, and Charlson comorbidity index score ≥2 (P < .01) were found to be independent predictive factors of clinically significant PIs at hospital admission.Identifying predictive factors of clinically significant PIs is valuable to optimize clinical pharmacist practices at hospital admission during both medication reconciliation and medication review. These 2 steps of the pharmaceutical care process improve medication safety at hospital admission.

摘要

住院时的药学服务活动对患者安全有重大影响。本研究的目的是确定患者住院时在用药核对和用药审查期间进行的具有临床意义的药师干预(PI)的预测因素。

在4个内科病房进行了为期4周的前瞻性研究。在患者住院时,进行用药核对和用药审查,并由药学团队实施PI。使用临床经济与组织(CLEO)工具确定PI的临床影响。收集并分析每位患者的临床特征、实验室检查结果和用药数据,作为具有临床意义的PI的潜在预测因素。随后使用单因素和多因素二元逻辑回归来确定与临床相关的PI的独立预测因素。

在265例入院患者中,纳入了150例。在住院时实施的170项PI中,71项与用药核对期间的无意差异(41.8%)有关,99项与用药审查期间的药物相关问题(DRP)(58.8%)有关。总体而言,115项PI(67.7%)被认为具有临床影响。通过多因素分析,基于最佳可能用药史的用药数量≥5种(P = 0.01)以及Charlson合并症指数评分≥2分(P < 0.01)被发现是住院时具有临床意义的PI的独立预测因素。

确定具有临床意义的PI的预测因素对于在住院时用药核对和用药审查期间优化临床药师实践具有重要价值。药学服务过程的这两个步骤可提高住院时的用药安全性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验