North Shore-LIJ Health System, New Hyde Park, NY.
J Am Med Dir Assoc. 2013 Sep;14(9):668-72. doi: 10.1016/j.jamda.2013.02.021. Epub 2013 Apr 19.
To study medication discrepancies in clinical transitions across a large health care system.
Randomized chart review of electronic medical records and paper chart medication reconciliation lists across 3 transitions of care.
Subacute patient medication records were reviewed through 3 transition care points at a large health care system, including hospital admission to discharge (time I), hospital discharge to skilled nursing facility (SNF; time II) and SNF admission to discharge home or long term care (LTC; time III).
Medication discrepancies were identified and categorized by the principal investigator and a pharmacist. Discrepancies were defined as any unexplained documented change in the patients' medication lists between sites and unintentional discrepancies were defined as any omission, duplication, or failure to change back to original regimen when indicated.
We reviewed 1696 medications in the 132 transition records of 44 patients, identifying 1002 discrepancies. Average age was 71.4 years and 68% were female. Median hospital stay was 5.5 days and 14.5 SNF days. Total medications at hospital admission, hospital discharge, SNF admission, and SNF discharge were 284, 472, 555, and 392, respectively. Total medication discrepancies were 357 (time I), 315 (time II), and 330 (time III). All patients experienced discrepancies and 86% had at least 1 unintentional discrepancy. The average number of medications per patient increased at time I from 6.5 to 10.7 (P < .001), increased at time II from 10.7 to 12.6 (P <.0174), and decreased at time III from 12.6 to 8.9 (P < .001). Patients, on average, had 8.1, 7.2, and 7.6 medication discrepancies at times I, II, and III, respectively. Surgical patients had more discrepancies than medical at times I and III (8.94 vs 5.3, P < .019; 8.0 vs 5.8, P < .028). In the unintentional group, cardiovascular drugs represented the highest number of discrepancies (26%).
This study is the first to follow medication changes throughout 3 transition care points in a large health care system and to demonstrate the widespread prevalence of medication discrepancies at all points. Our findings are consistent with previously published results, which all focused on single site transitions. Outcomes of the current reconciliation process need to be revisited to insure safe delivery of care to the complex geriatric patient as they transition through health care systems.
研究在大型医疗保健系统中跨越多个护理点的临床转科过程中的用药差异。
对电子病历和纸质病历用药核对清单中的 3 次转科过程进行随机图表审查。
在大型医疗保健系统中,对亚急性患者的用药记录进行了 3 次转科护理点的回顾,包括住院入院到出院(时间 I)、从医院出院到康复护理机构(SNF;时间 II)以及从 SNF 入院到出院回家或长期护理(LTC;时间 III)。
主要研究员和药剂师对用药差异进行了识别和分类。差异被定义为患者用药清单在各站点之间的任何无法解释的记录变化,而非预期差异被定义为任何遗漏、重复或未按指示恢复到原始方案的情况。
我们在 44 名患者的 132 份转科记录中审查了 1696 种药物,发现了 1002 种差异。平均年龄为 71.4 岁,68%为女性。平均住院时间为 5.5 天,康复护理机构 14.5 天。入院时、出院时、入院时和出院时的总用药量分别为 284、472、555 和 392。总用药差异为 357(时间 I)、315(时间 II)和 330(时间 III)。所有患者均出现差异,86%至少存在 1 种非预期差异。患者在时间 I 时的平均用药量从 6.5 增加到 10.7(P<.001),在时间 II 时从 10.7 增加到 12.6(P<.0174),在时间 III 时从 12.6 减少到 8.9(P<.001)。患者在时间 I、II 和 III 时,平均用药差异分别为 8.1、7.2 和 7.6。外科患者在时间 I 和 III 的差异多于内科患者(8.94 比 5.3,P<.019;8.0 比 5.8,P<.028)。在非预期差异组中,心血管药物的差异数量最多(26%)。
本研究首次在大型医疗保健系统中对 3 个转科护理点的用药变化进行了跟踪,并证明了在所有转科点都普遍存在用药差异。我们的发现与以前所有关注单一站点转科的研究结果一致。目前的核对流程的结果需要重新审视,以确保在老年患者在医疗保健系统中转科时,能够安全地提供护理。