某康复医院住院患者不良事件的发生率、严重程度和性质调查

Q4 Medicine
Shoeleh Rahimi, Hamid Reza Khankeh, Narges Arsalani, Masoud Fallahi-Khoshknab, Abbas Ebadi, Fereydoun Layeghi
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引用次数: 0

摘要

目的:本研究旨在评估伊朗一家住院康复医院不良事件(ae)的发生率、严重程度和性质,并为如何预防ae复发提供建议。方法:这项回顾性描述性分析研究于2021年在伊朗德黑兰市Rofaydeh康复医院进行。评估2018年至2021年在医院自愿报告系统中报告的与康复服务和护理相关的ae。使用伊朗卫生部编纂的标准核对表收集医疗差错文件中的数据。采用SPSS软件第21版对数据进行分析,采用描述性统计、卡方检验和Fisher精确检验。结果:在4年的研究期间,共有5642名患者住院,517例ae被记录在案。最常见的ae由高到低依次为:跌倒288例(55.7%),压疮57例(11.02%),用药错误50例(9.67%),临床流程问题49例(9.47%),临床给药(入院流程问题10例(1.93%),患者识别错误5例(0.96%)。医院获得性感染58例(11.21%),其中尿路感染45例(77.58%)。年龄与跌倒(P=0.026)、压疮(P=0.006)、医院获得性感染(P=0.001)相关,性别与跌倒(P=0.01)、压疮(P=003)、医院获得性感染(P=0.01)相关。鉴定出的ae严重程度分为轻度431例(83.36%)、中度61例(11.79%)和重度25例(4.83%)。ae的最常见原因是医疗保健提供者对患者的监督有限。讨论:本研究表明,患者跌倒、压疮和医院获得性感染是康复医院最常见的ae。未来在这些环境中提高患者安全的努力应侧重于减少此类事件,同时消除自愿报告事件的障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the Prevalence, Severity, and Nature of Adverse Events in an Inpatient Rehabilitation Hospital
Objectives: This study aims to evaluate the prevalence, severity, and nature of adverse events (AEs) and provide suggestions on how to prevent AEs recurrence in an inpatient rehabilitation hospital in Iran. Methods: This retrospective descriptive-analytical study was conducted in 2021 at Rofaydeh Rehabilitation Hospital in Tehran City, Iran. AEs associated with rehabilitation services and nursing care, which were reported in the hospital’s voluntary reporting system from 2018 to 2021 were evaluated. A standard checklist codified by the Ministry of Health of Iran was used to collect the data from the medical error documentation. The data were analyzed by the SPSS software, version 21, using descriptive statistics, the chi-square, and the Fisher exact tests. Results: A total of 5642 patients had been hospitalized in the study setting and 517 AEs had been documented during the 4 years of the study. The most common AEs in descending order were as follows: falls 288(55.7%), pressure ulcers 57(11.02%), medication errors 50(9.67%), clinical process 49(9.47%), clinical administration (issues with admission process 10(1.93%) and wrong patient identification 5(0.96%). Among 58(11.21%) cases of hospital-acquired infections, 45(77.58%) cases were urinary tract infections. There was a significant relationship between age and fall (P=0.026), pressure ulcer (P=0.006), and hospital-acquired infection (P=0.001), and between gender and fall (P=0.01), pressure ulcer (P=003), and hospital-acquired infection (P=0.01). The severity of identified AEs was categorized into mild 431(83.36%), moderate 61(11.79%), and severe 25(4.83%). The most common causes of AEs were limited supervision of patients by healthcare providers. Discussion: This study showed that patient fall, pressure ulcer, and hospital-acquired infection were the most prevalent AEs in the rehabilitation hospital. Future efforts to improve patient safety in these settings should focus on reducing such AEs along with removing barriers to voluntary incident reporting.
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来源期刊
Iranian Rehabilitation Journal
Iranian Rehabilitation Journal Medicine-Rehabilitation
CiteScore
0.60
自引率
0.00%
发文量
12
审稿时长
6 weeks
期刊介绍: Iranian Rehabilitation Journal aims to provide the readers with a variety of topics, including: original articles, hypothesis formation, editorials, literature reviews, case reports, short communications, special reports, letters to the editor, discussions of public policy issues and book reviews, and methodology articles in the fields of rehabilitation and social welfare, including (but not limited to): -Clinical and basic research in various special needs groups -Physical and mental rehabilitation -Epidemiological studies on disabling conditions -Biostatistics -Vocational and socio-medical aspects of rehabilitation IRJ also welcomes papers focusing on the genetic basis of common disabling disorders across human populations. Those studies may include (but not limited to): -The genetic basis of common single gene and complex disorders. -Bioinformatics tools to investigate and to model biological phenomena -Novel computational tools and databases -Sequence analysis -Population analysis -Databases and text mining
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