Social and Clinical Pharmacy Research Group, Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, 2100, Copenhagen, Denmark.
Capital Region Hospital Pharmacy, Nordsjællands Hospital, Dyrehavevej 29, 3400, Hillerød, Denmark.
Int J Clin Pharm. 2023 Aug;45(4):884-892. doi: 10.1007/s11096-023-01582-0. Epub 2023 Apr 20.
Risk prioritisation algorithms provide patients with a risk category that guides pharmacists to choose those needing medication reviews (MRs) the most. For this study the Medicine Risk Score (MERIS) and a modified Assessment of Risk Tool (ART) were used.
To examine how the selection of patients by the clinical pharmacists in an emergency department for MRs compared with the categorisation provided by MERIS and a modified version of ART (mART). Furthermore, examine the agreement between MERIS and mART.
A cross-sectional study was conducted using data on all admitted patients during a two-month period. Data were entered into the prioritisation algorithms and independently ranked by the six pharmacists who were observed as they selected patients for MR. Risk scores and categorisations were compared between the algorithms and the pharmacists' ranking using t-test, Z-test, Chi square, Kruskal Wallis H-test, or Kappa statistics.
The study included 1133 patients. Significant differences were found between the pharmacists and the algorithms. The sensitivity and specificity of MERIS were 37.8% and 73.6%, for mART, 33.0% and 75.9%. Kappa was 0.58, showing moderate agreement. No significant differences were observed between the individual pharmacists' selection, but differences were significant between how pharmacists ranked the importance of the provided MRs.
Pharmacists disagreed with the risk categorisation provided by MERIS and mART. However, MERIS and mART had similar sensitivity, specificity, and moderate agreement. Further research should focus on how clinical algorithms affect the selection of patients and on the importance of the MRs carried out by pharmacists.
风险优先级算法为患者提供风险类别,指导药剂师选择最需要药物审查 (MR) 的患者。本研究使用了药物风险评分 (MERIS) 和改良的风险评估工具 (ART)。
检查急诊临床药师选择 MR 患者的方法与 MERIS 和改良版 ART (mART) 提供的分类方法相比有何不同。此外,还检查了 MERIS 和 mART 之间的一致性。
使用两个月期间所有入院患者的数据进行横断面研究。数据输入优先级算法,并由六名药师独立对患者进行排名,观察他们选择 MR 患者的情况。使用 t 检验、Z 检验、卡方检验、Kruskal Wallis H 检验或 Kappa 统计比较算法和药师排名之间的风险评分和分类。
研究共纳入 1133 名患者。药师与算法之间存在显著差异。MERIS 的灵敏度和特异性分别为 37.8%和 73.6%,mART 分别为 33.0%和 75.9%。Kappa 值为 0.58,显示中度一致性。个别药师的选择没有显著差异,但药师对提供的 MR 重要性的排名存在显著差异。
药师不同意 MERIS 和 mART 提供的风险分类。然而,MERIS 和 mART 的灵敏度、特异性和中度一致性相似。进一步的研究应关注临床算法如何影响患者的选择以及药师进行的 MR 的重要性。