Desai Rishi J, Williams Charrlotte E, Greene Sandra B, Pierson Stephanie, Caprio Anthony J, Hansen Richard A
Division of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, University of North Carolina-Chapel Hill, NC, USA.
J Pain Palliat Care Pharmacother. 2013 Jun;27(2):125-31. doi: 10.3109/15360288.2013.765531. Epub 2013 Mar 4.
The objective of this study was to characterize analgesic medication errors and to evaluate their association with patient harm. The authors conducted a cross-sectional analysis of individual medication error incidents reported by North Carolina nursing homes to the Medication Error Quality Initiative (MEQI) during fiscal years 2010-2011. Bivariate associations between analgesic medication errors with patient factors, error-related factors, and impact on patients were tested with chi-square tests. A multivariate logistic regression model explored the relationship between type of analgesic medication errors and patient harm, controlling for patient- and error-related factors. A total of 32,176 individual medication error incidents were reported over a 2-year period in North Carolina nursing homes, 12.3% (n = 3949) of which were analgesic medication errors. Of these analgesic medication errors, opioid and nonopioid analgesics were involved in 3105 and 844 errors, respectively. Opioid errors were more likely to be wrong drug errors, wrong dose errors, and administration errors compared with nonopioid errors (P < .0001 for all comparisons). In the multivariate model, opioid errors were found to have higher odds of patient harm compared with nonopioid errors (odds ratio [OR] = 3, 95% confodence interval [CI]: 1.1-7.8). The authors conclude that opioid analgesics represent the majority of analgesic error reports, and these error reports reflect an increased likelihood of patient harm compared with nonopioid analgesics.
本研究的目的是描述镇痛药物错误的特征,并评估其与患者伤害的关联。作者对北卡罗来纳州疗养院在2010 - 2011财年期间向药物错误质量改进计划(MEQI)报告的个体药物错误事件进行了横断面分析。使用卡方检验对镇痛药物错误与患者因素、错误相关因素以及对患者的影响之间的双变量关联进行了测试。一个多变量逻辑回归模型探讨了镇痛药物错误类型与患者伤害之间的关系,同时控制了患者和错误相关因素。在北卡罗来纳州疗养院的两年期间共报告了32176起个体药物错误事件,其中12.3%(n = 3949)为镇痛药物错误。在这些镇痛药物错误中,阿片类和非阿片类镇痛药分别涉及3105起和844起错误。与非阿片类药物错误相比,阿片类药物错误更有可能是用药错误、剂量错误和给药错误(所有比较的P <.0001)。在多变量模型中,发现与非阿片类药物错误相比,阿片类药物错误导致患者伤害的几率更高(优势比[OR] = 3,95%置信区间[CI]:1.1 - 7.8)。作者得出结论,阿片类镇痛药占镇痛错误报告的大多数,与非阿片类镇痛药相比,这些错误报告反映出患者受到伤害的可能性增加。