Integrating Data From the UK National Reporting and Learning System With Work Domain Analysis to Understand Patient Safety Incidents in Community Pharmacy

药店 患者安全 事故报告 药剂师 描述性统计 文档 工作(物理) 领域(数学分析) 数据收集 医疗保健 医学 计算机科学 家庭医学 工程类 计算机安全 统计 机械工程 数学分析 数学 程序设计语言 经济增长 经济
作者
Denham L. Phipps,Whitney Tam,Darren M. Ashcroft
出处
期刊:Journal of Patient Safety [Lippincott Williams & Wilkins]
卷期号:13 (1): 6-13 被引量:19
标识
DOI:10.1097/pts.0000000000000090
摘要

To explore the combined use of a critical incident database and work domain analysis to understand patient safety issues in a health-care setting.A retrospective review was conducted of incidents reported to the UK National Reporting and Learning System (NRLS) that involved community pharmacy between April 2005 and August 2010. A work domain analysis of community pharmacy was constructed using observational data from 5 community pharmacies, technical documentation, and a focus group with 6 pharmacists. Reports from the NRLS were mapped onto the model generated by the work domain analysis.Approximately 14,709 incident reports meeting the selection criteria were retrieved from the NRLS. Descriptive statistical analysis of these reports found that almost all of the incidents involved medication and that the most frequently occurring error types were dose/strength errors, incorrect medication, and incorrect formulation. The work domain analysis identified 4 overall purposes for community pharmacy: business viability, health promotion and clinical services, provision of medication, and use of medication. These purposes were served by lower-order characteristics of the work system (such as the functions, processes and objects). The tasks most frequently implicated in the incident reports were those involving medication storage, assembly, or patient medication records.Combining the insights from different analytical methods improves understanding of patient safety problems. Incident reporting data can be used to identify general patterns, whereas the work domain analysis can generate information about the contextual factors that surround a critical task.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
我要查文献完成签到 ,获得积分10
2秒前
penghui发布了新的文献求助10
3秒前
3秒前
jiang完成签到,获得积分10
3秒前
3秒前
缥缈寻真完成签到,获得积分10
5秒前
molihuakai应助SoilMan采纳,获得10
6秒前
桐桐应助小兔叽采纳,获得10
6秒前
尚桥发完成签到 ,获得积分10
6秒前
悲凉的大娘完成签到 ,获得积分10
6秒前
呢呢发布了新的文献求助10
7秒前
Ding发布了新的文献求助10
8秒前
wzy完成签到,获得积分10
8秒前
林林完成签到 ,获得积分10
9秒前
nidedaye完成签到,获得积分10
9秒前
niansi应助可靠的怜南采纳,获得10
9秒前
馨馨的科科应助飘逸一刀采纳,获得10
9秒前
XPDHW发布了新的文献求助10
10秒前
卓初露完成签到 ,获得积分0
12秒前
雾见春完成签到 ,获得积分10
14秒前
14秒前
Kiphank应助斯文的乐天采纳,获得10
15秒前
cadcae完成签到,获得积分10
16秒前
丘比特应助小兔叽采纳,获得10
16秒前
zxy完成签到,获得积分10
19秒前
ding应助怡然的凌兰采纳,获得10
19秒前
kangwen发布了新的文献求助10
21秒前
21秒前
NexusExplorer应助hoijuon采纳,获得10
21秒前
希望天下0贩的0应助cm5257采纳,获得10
22秒前
24秒前
华仔应助小兔叽采纳,获得10
24秒前
25秒前
噔噔完成签到,获得积分10
25秒前
cdercder应助哒哒采纳,获得10
26秒前
26秒前
小黑之家完成签到,获得积分10
26秒前
大胆绮兰发布了新的文献求助10
27秒前
kangwen完成签到,获得积分10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
2016 Venous Blood Study (VBS) (Final V3.0) 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7701903
求助须知:如何正确求助?哪些是违规求助? 9260661
关于积分的说明 20027627
捐赠科研通 7277472
什么是DOI,文献DOI怎么找? 3294022
关于科研通互助平台的介绍 2449557
邀请新用户注册赠送积分活动 2300628