From the Division of Community Internal Medicine, Mayo Clinic, Rochester, Minnesota.
J Patient Saf. 2020 Sep;16(3):e187-e193. doi: 10.1097/PTS.0000000000000514.
Apologizing to patients is an encouraged practice, yet little is known about how and why providers apologize and what insights apologies could provide in improving quality and safety.
The aim of the study was to determine whether provider apologies in the electronic health record could identify patient safety concerns and opportunities for improvement.
After performing a free-text search, we randomly selected 100 clinical notes from 1685 available containing terminology related to apology. We categorized the reason for apology, presence and classification of medical error, level of patient harm, and practice improvement opportunities. We compared patient events discovered from apologies in the medical record to standard patient incident report logs.
Of 100 randomly selected apologies, 37 were related to a delay in care, 14 to misunderstanding, 11 to access to care, and 8 to information technology. For apologies related to delay, the median delay was 6 days (mean = 8.9, range = 0-41). Twenty-four (65%) of the 37 delays were related to diagnostic testing.Medical errors were associated with 46 (46%) of the 100 apologies. Sixty-four (64%) of the 100 apologies were associated with actionable opportunities for improvement. These opportunities were classified into 37 discrete issues across 8 broad categories. When apology review was compared with standard incident report logs, 27 (73%) of the 37 discrete issues identified by patient apology review were not found in incident reporting; both methods identified similar rates of patient harm.
Review of apologies in the electronic health record can identify patient safety concerns and improvement opportunities not apparent through standard incident reporting.
向患者道歉是一种被鼓励的做法,但对于医生为何道歉、如何道歉以及道歉能为提高医疗质量和安全提供何种见解,人们知之甚少。
本研究旨在确定电子病历中的医生道歉是否能识别患者安全问题和改进机会。
在进行自由文本搜索后,我们从 1685 份可用临床记录中随机选择了 100 份包含道歉相关术语的记录。我们对道歉的原因、医疗错误的存在和分类、患者伤害程度以及改进机会进行了分类。我们将从病历中的道歉中发现的患者事件与标准患者事件报告日志进行了比较。
在随机选择的 100 份道歉中,37 份与医疗延误有关,14 份与误解有关,11 份与获得医疗服务有关,8 份与信息技术有关。对于与延误相关的道歉,中位数延误时间为 6 天(均值=8.9,范围=0-41)。37 次延误中的 24 次(65%)与诊断测试有关。100 次道歉中有 46 次(46%)与医疗错误有关。100 次道歉中有 64 次(64%)与可采取行动的改进机会有关。这些机会被分为 8 个广泛类别中的 37 个离散问题。当道歉审查与标准事件报告日志进行比较时,通过患者道歉审查确定的 37 个离散问题中有 27 个(73%)在事件报告中没有发现;两种方法都发现了类似的患者伤害率。
电子病历中的道歉审查可以识别出通过标准事件报告无法发现的患者安全问题和改进机会。