医院环境中的病人识别错误:一项前瞻性观察研究

Ahmed Lateef Alkhaqani
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引用次数: 1

摘要

背景与目的:在临床护理的各个方面,包括诊断测试和药物管理,患者识别(ID)错误可以扰乱护理和伤害患者。本研究评估医护人员在执行常见任务前验证患者身份的频率和准确性,并提出一个建议的患者验证身份程序临床模型,以满足医护人员的培训需求。方法:2022年3 - 5月在Al-Najaf教学医院进行观察性横断面研究。通过问卷调查和参与式观察收集数据。共有140名医护人员参与研究:52名临床医生、27名注册护士、34名信息官、17名药剂师、4名放射科医生和6名门诊医生。结果:参与者以女性居多(62.1%)。40名参与者中大多数(28.6%)在手术室工作。此外,大多数参与者(82.1%)没有询问患者的姓名和出生日期(DOB)。在没有完成身份识别程序的人中,诊所医生占大多数(37.1%)。结论:超过四分之三的医护人员在执行任务时错过了患者识别。虽然患者身份识别错误经常导致严重的不良事件,但可以通过更好的培训来避免,更好地利用技术可以改善医护人员验证患者身份的方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Patient Identification Errors in the Hospital Setting: A Prospective Observational Study
Background and aim: In every aspect of clinical care, including diagnostic testing and medication administration, patient identification (ID) errors can disrupt care and harm patients. The study assesses healthcare workers' frequency and accuracy in verifying patient identity before performing common tasks and develops a proposed patient verifying identity program clinical model to meet the training needs of healthcare workers. Methods: An observational cross-sectional study was conducted at Al-Najaf Teaching Hospital from March to May 2022. Data collection was done through a questionnaire and participatory observation. Hundred-forty healthcare workers participated in the study: 52 clinic doctors, 27 registered nurses, 34 information officers, 17 pharmacists, 4 radiologists, and 6 outpatient hospital doctors. Results: The majority of participants (62.1%) were female. The majority of the 40 participants (28.6%) worked in the operating room. Furthermore, the majority of the participants (82.1%) did not ask the patients for their names and dates of birth (DOB). Clinic doctors made up the majority of those who did not complete the identification process (37.1%). Conclusion: More than three-quarters of healthcare workers missed patient identification while performing a task. Although patient identification errors frequently result in serious adverse events that can be avoided with better training, better use of technology may improve the way healthcare workers verify patients' identities.
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