数据库质量评估在护理医学研究:一个范围审查审查
Neil McDonald1,2,3, Nicola Little4, Dean Kriellaars5
1Winnipeg Fire Paramedic Service, EMS Training, 2546 McPhillips St, Winnipeg, MB, R2P 2T2, Canada. nmcdonald@winnipeg.ca.
Scandinavian journal of trauma, resuscitation and emergency medicine
|November 11, 2023
概括
护理学研究缺乏标准化的数据质量评估 (DQA) 框架. 这次审查发现了多样化的DQA实践,突出了需要共同的方法和报告标准,以提高准医疗研究的数据质量.
科学领域:
- 护理科学 护理科学
- 医疗保健服务研究 医疗服务研究
- 数据管理数据管理
背景情况:
- 护理学研究在发展研究能力方面面临挑战,特别是高质量的数据.
- 护理人员工作环境中的独特因素会影响数据质量.
- 医疗保健中现有的数据质量评估 (DQA) 框架在医疗保健中缺乏对应物,导致零星的DQA实践.
研究的目的:
- 进行范围审查,描述医护人员研究中的数据质量评估 (DQA) 实践的范围,范围和性质.
- 确定DQA方法和现场报告中的共同点和差异.
主要方法:
- 在MEDLINE,EMBASE,Scopus和CINAHL进行了系统的搜索,寻找2011年至2021年间发表的研究.
- 报告与护理人员实践环境相关的定量DQA结果的研究经过多位审查者的严格选后被纳入.
- 数据提取使用试点形式来捕获包含的研究的关键特征.
主要成果:
- 该审查包括了10105篇初始文章中的97篇研究,其中大多数来自美国.
- 研究主要评估了100-9,999条记录的数据集,并专注于数据,创伤或非医院心脏骤停等主题.
- 评估的数据质量领域分为完整性,链接性,准确性,可靠性和代表性.
结论:
- 护理学研究在DQA变量,领域,方法和质量值方面表现出有限的标准化.
- 观察到不一致的术语和缺乏对新出现的数据质量主题的评估.
- 建议对护理人员进行标准化的DQA框架,以建立共同的方法,术语和报告标准,同时允许本地适应.
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