住院时用药史错误:患病率及预测因素

Lina M Hellström, Åsa Bondesson, Peter Höglund, Tommy Eriksson
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引用次数: 136

摘要

背景:入院时准确的药物清单对患者的评估和进一步治疗至关重要。本研究的目的是描述用药史中错误的频率、类型和预测因素,并评估标准治疗纠正这些错误的程度。方法:采用隆德综合药物管理(LIMM)为基础的药物调节,在瑞典一家医院的两个病房进行描述性研究。临床药剂师通过在入院后不久进行药物核对过程,确定每个患者最准确的入院前药物清单。然后将该清单与医院病历中患者的药物清单进行比较。添加或停用药物或改变医院药物清单中的剂量或剂型被视为药物差异。无法确定临床原因的用药差异(非故意改变)被认为是用药史错误。结果:最终的研究人群包括818名符合条件的患者中的670名。药师对313例患者进行药物调解时发现至少有一次用药史错误(47%;95% ci 43-51%)。最常见的用药错误是遗漏药物,其次是剂量错误。多因素logistic回归分析显示,入院时药物数量增加(每增加1种药物的优势比[OR] = 1.10;95% ci 1.06-1.14;p < 0.0001)和住在自己家里没有任何护理服务的患者(OR = 1.58;95% ci 1.02-2.45;P = 0.042)是入院时用药史错误的预测因子。结果进一步表明,非药师病房工作人员的标准护理在入院后4天内已部分纠正了受影响患者的错误,但入院时初始用药史中存在的相当大比例的错误仍未被标准护理发现(4-11天进行药师用药调节发现的用药错误与0-1天相比的OR = 0.52;95% ci 0.30-0.91;p = 0.021)。结论:临床药师开展基于limm的用药和解对所有患者用药史错误的纠正潜力较大。在年龄较大的瑞典人群中,那些开了很多药的人似乎从入院药物和解中获益最多。
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Errors in medication history at hospital admission: prevalence and predicting factors.

Background: An accurate medication list at hospital admission is essential for the evaluation and further treatment of patients. The objective of this study was to describe the frequency, type and predictors of errors in medication history, and to evaluate the extent to which standard care corrects these errors.

Methods: A descriptive study was carried out in two medical wards in a Swedish hospital using Lund Integrated Medicines Management (LIMM)-based medication reconciliation. A clinical pharmacist identified each patient's most accurate pre-admission medication list by conducting a medication reconciliation process shortly after admission. This list was then compared with the patient's medication list in the hospital medical records. Addition or withdrawal of a drug or changes to the dose or dosage form in the hospital medication list were considered medication discrepancies. Medication discrepancies for which no clinical reason could be identified (unintentional changes) were considered medication history errors.

Results: The final study population comprised 670 of 818 eligible patients. At least one medication history error was identified by pharmacists conducting medication reconciliations for 313 of these patients (47%; 95% CI 43-51%). The most common medication error was an omitted drug, followed by a wrong dose. Multivariate logistic regression analysis showed that a higher number of drugs at admission (odds ratio [OR] per 1 drug increase = 1.10; 95% CI 1.06-1.14; p < 0.0001) and the patient living in their own home without any care services (OR = 1.58; 95% CI 1.02-2.45; p = 0.042) were predictors for medication history errors at admission. The results further indicated that standard care by non-pharmacist ward staff had partly corrected the errors in affected patients by four days after admission, but a considerable proportion of the errors made in the initial medication history at admission remained undetected by standard care (OR for medication errors detected by pharmacists' medication reconciliation carried out on days 4-11 compared to days 0-1 = 0.52; 95% CI 0.30-0.91; p=0.021).

Conclusions: Clinical pharmacists conducting LIMM-based medication reconciliations have a high potential for correcting errors in medication history for all patients. In an older Swedish population, those prescribed many drugs seem to benefit most from admission medication reconciliation.

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