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医疗护理转接期间不明原因用药差异的风险因素。

Risk factors for unexplained medication discrepancies during transitions in care.

作者信息

Osorio Snezana Nena, Abramson Erika, Pfoh Elizabeth R, Edwards Alison, Schottel Helen, Kaushal Rainu

机构信息

Department of Pediatrics, Weill Cornell Medical College, New York, NY.

出版信息

Fam Med. 2014 Sep;46(8):587-96.

Abstract

BACKGROUND AND OBJECTIVES

Unexplained discrepancies between patient reported- and physician-prescribed medication regimens are an important source of potential harm to patients after hospital discharge. However, there are limited data available identifying risk factors associated with discrepancies in medications. Our objective was to describe the epidemiology of unexplained medication discrepancies and identify patient risk factors for these discrepancies.

METHODS

This prospective observational study is part of a larger study conducted from August 2009 to February 2011 in an academic hospital and affiliated office practices. We compared medication lists from hospital discharge, the first ambulatory visit, and patient self-report. Medication lists were gathered from the inpatient and outpatient electronic health records. Demographic and health-related predictor variables were collected through an inpatient survey and chart review.

RESULTS

Among 100 patients, 291 unexplained medication discrepancies were identified (31%, n=930). Of these, 98 had high potential for harm (34%). Omitted medications were the most common type of unexplained discrepancy (72%, n=210). In multivariable analysis, having more than five outpatient visits during the previous year and having less than high school education independently predicted a higher number of unexplained discrepancies. Having Medicaid insurance and receiving care from a third-year resident during the first follow-up visit were protective.

CONCLUSIONS

Unexplained medication discrepancies are common at the first ambulatory visit post-hospital discharge and underscore the need to maintain accurate medication lists across the continuum of care. Individual-level characteristics may potentially be used to identify patients who need special attention for their medication management.

摘要

背景与目的

患者报告的用药方案与医生开具的用药方案之间存在无法解释的差异,这是出院后患者潜在伤害的重要来源。然而,关于识别与用药差异相关风险因素的数据有限。我们的目的是描述无法解释的用药差异的流行病学特征,并确定这些差异的患者风险因素。

方法

这项前瞻性观察性研究是2009年8月至2011年2月在一家学术医院及其附属门诊进行的一项更大规模研究的一部分。我们比较了出院时、首次门诊就诊时的用药清单以及患者的自我报告。用药清单从住院和门诊电子健康记录中收集。通过住院患者调查和病历审查收集人口统计学和健康相关的预测变量。

结果

在100名患者中,共识别出291处无法解释的用药差异(31%,n = 930)。其中,98处具有高潜在危害(34%)。遗漏用药是最常见的无法解释的差异类型(72%,n = 210)。在多变量分析中,前一年门诊就诊次数超过5次以及高中以下学历独立预测了更高数量的无法解释的差异。拥有医疗补助保险以及在首次随访就诊时由三年级住院医师提供护理具有保护作用。

结论

出院后的首次门诊就诊时,无法解释的用药差异很常见,这凸显了在整个护理过程中维持准确用药清单的必要性。个体层面的特征可能有助于识别那些在药物管理方面需要特别关注的患者。

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