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本文引用的文献

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The Emergency Department Safety Assessment and Follow-up Evaluation (ED-SAFE): method and design considerations.急诊科安全评估和随访评估(ED-SAFE):方法和设计考虑因素。
Contemp Clin Trials. 2013 Sep;36(1):14-24. doi: 10.1016/j.cct.2013.05.008. Epub 2013 May 22.
2
Suboptimal reporting of adverse medical events to the FDA Adverse Events Reporting System by nurse practitioners and physician assistants.护士从业者和医师助理向 FDA 不良事件报告系统报告不良医疗事件的报告不充分。
Expert Opin Drug Saf. 2012 Mar;11(2):177-83. doi: 10.1517/14740338.2012.650165. Epub 2012 Feb 8.
3
The Columbia-Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults.哥伦比亚自杀严重程度评定量表:三项包含青少年和成年人的多中心研究的初步有效性和内部一致性结果。
Am J Psychiatry. 2011 Dec;168(12):1266-77. doi: 10.1176/appi.ajp.2011.10111704.
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Improving patient safety via automated laboratory-based adverse event grading.通过自动化基于实验室的不良事件分级来提高患者安全性。
J Am Med Inform Assoc. 2012 Jan-Feb;19(1):111-5. doi: 10.1136/amiajnl-2011-000513. Epub 2011 Nov 14.
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'Global trigger tool' shows that adverse events in hospitals may be ten times greater than previously measured.“全球触发工具”显示,医院中的不良事件可能比之前测量的高出十倍。
Health Aff (Millwood). 2011 Apr;30(4):581-9. doi: 10.1377/hlthaff.2011.0190.
6
Variability in the definition and reporting of adverse events in suicide prevention trials: an examination of the issues and a proposed solution.在预防自杀试验中,对不良事件的定义和报告的变异性:问题的探讨和提出的解决方案。
Arch Suicide Res. 2011;15(1):29-42. doi: 10.1080/13811118.2011.541146.
7
A comparison of hospital adverse events identified by three widely used detection methods.三种广泛使用的检测方法所识别的医院不良事件的比较。
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Tenofovir-associated Fanconi syndrome: review of the FDA adverse event reporting system.替诺福韦相关范科尼综合征:美国食品药品监督管理局不良事件报告系统综述
AIDS Patient Care STDS. 2008 Feb;22(2):99-103. doi: 10.1089/apc.2007.0052.
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Rare adverse medical events in VA inpatient care: reliability limits to using patient safety indicators as performance measures.退伍军人事务部住院治疗中的罕见不良医疗事件:将患者安全指标用作绩效衡量标准的可靠性限制
Health Serv Res. 2008 Feb;43(1 Pt 1):249-66. doi: 10.1111/j.1475-6773.2007.00760.x.
10
Columbia Classification Algorithm of Suicide Assessment (C-CASA): classification of suicidal events in the FDA's pediatric suicidal risk analysis of antidepressants.哥伦比亚自杀评估分类算法(C-CASA):在FDA对抗抑郁药的儿科自杀风险分析中对自杀事件的分类
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采用结构化电话随访评估以改善自杀相关不良事件的检测。

Using structured telephone follow-up assessments to improve suicide-related adverse event detection.

作者信息

Arias Sarah A, Zhang Zi, Hillerns Carla, Sullivan Ashley F, Boudreaux Edwin D, Miller Ivan, Camargo Carlos A

机构信息

Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Suicide Life Threat Behav. 2014 Oct;44(5):537-47. doi: 10.1111/sltb.12088. Epub 2014 Mar 3.

DOI:10.1111/sltb.12088
PMID:24588679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4153801/
Abstract

Adverse event (AE) detection and reporting practices were compared during the first phase of the Emergency Department Safety Assessment and Follow-up Evaluation (ED-SAFE), a suicide intervention study. Data were collected using a combination of chart reviews and structured telephone follow-up assessments postenrollment. Beyond chart reviews, structured telephone follow-up assessments identified 45% of the total AEs in our study. Notably, detection of suicide attempts significantly varied by approach with 53 (18%) detected by chart review, 173 (59%) by structured telephone follow-up assessments, and 69 (23%) marked as duplicates. Findings provide support for utilizing multiple methods for more robust AE detection in suicide research.

摘要

在一项自杀干预研究——急诊科安全评估与后续评价(ED-SAFE)的第一阶段,对不良事件(AE)的检测和报告做法进行了比较。入组后,通过病历审查和结构化电话随访评估相结合的方式收集数据。除病历审查外,结构化电话随访评估发现了我们研究中45%的AE。值得注意的是,自杀未遂的检测方法差异显著,病历审查检测到53例(18%),结构化电话随访评估检测到173例(59%),69例(23%)被标记为重复。研究结果支持在自杀研究中采用多种方法进行更有力的AE检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58e8/4153801/bf0bfe8f13c2/nihms558835f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58e8/4153801/bf0bfe8f13c2/nihms558835f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58e8/4153801/bf0bfe8f13c2/nihms558835f1.jpg