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本文引用的文献

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Linkage of Emergency Medical Services and Hospital Data: A Necessary Precursor to Improve Understanding of Outcomes of Prehospital Care.链接急救医疗服务和医院数据:改善对院前护理结果理解的必要前提。
Prehosp Emerg Care. 2022 Nov-Dec;26(6):801-810. doi: 10.1080/10903127.2021.1977438. Epub 2021 Oct 20.
2
Principles to Guide the Future of Paramedicine in Canada.指导加拿大急诊医疗服务未来发展的原则。
Prehosp Emerg Care. 2022 Sep-Oct;26(5):728-738. doi: 10.1080/10903127.2021.1965680. Epub 2021 Aug 30.
3
Top 100 cited paramedicine papers: A bibliometric study.100 篇被引最多的急救医学论文:文献计量学研究。
Emerg Med Australas. 2021 Dec;33(6):975-982. doi: 10.1111/1742-6723.13774. Epub 2021 Apr 5.
4
What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.每位读者应该了解的关于使用电子健康记录数据的研究,但可能不敢问的事。
J Med Internet Res. 2021 Mar 2;23(3):e22219. doi: 10.2196/22219.
5
NEMSMA Position Statement and White Paper: Process and Outcomes Data Sharing between EMS and Receiving Hospitals.《NEMSMA 立场声明和白皮书:EMS 与接收医院之间的流程和结果数据共享》。
Prehosp Emerg Care. 2021 Mar-Apr;25(2):307-313. doi: 10.1080/10903127.2020.1792017. Epub 2020 Jul 23.
6
Information Capturing in Pre-Hospital Emergency Medical Settings (EMS).院前急救医疗环境(EMS)中的信息采集
Stud Health Technol Inform. 2020 Jun 16;270:613-617. doi: 10.3233/SHTI200233.
7
A basic model for assessing primary health care electronic medical record data quality.评估初级卫生保健电子病历数据质量的基本模型。
BMC Med Inform Decis Mak. 2019 Feb 12;19(1):30. doi: 10.1186/s12911-019-0740-0.
8
PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation.PRISMA 扩展用于范围审查 (PRISMA-ScR): 清单和解释。
Ann Intern Med. 2018 Oct 2;169(7):467-473. doi: 10.7326/M18-0850. Epub 2018 Sep 4.
9
A Review of Data Quality Assessment in Emergency Medical Services.急诊医疗服务中的数据质量评估综述
Open Med Inform J. 2018 May 31;12:19-32. doi: 10.2174/1874431101812010019. eCollection 2018.
10
Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse.基层医疗电子健康记录数据使用与再利用中可能存在的偏差来源。
J Med Internet Res. 2018 May 29;20(5):e185. doi: 10.2196/jmir.9134.

在急救医学研究中进行数据库质量评估:范围综述方案。

Database quality assessment in research in paramedicine: a scoping review protocol.

机构信息

Applied Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada

Winnipeg Fire Paramedic Service, Winnipeg, Manitoba, Canada.

出版信息

BMJ Open. 2022 Jul 14;12(7):e063372. doi: 10.1136/bmjopen-2022-063372.

DOI:10.1136/bmjopen-2022-063372
PMID:35835522
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9289022/
Abstract

INTRODUCTION

The paramedic practice environment presents unique challenges to data documentation and access, as well as linkage to other parts of the healthcare system. Variable or unknown data quality can influence the validity of research in paramedicine. A number of database quality assessment (DQA) frameworks have been developed and used to evaluate data quality in other areas of healthcare. The extent these or other DQA practices have been applied to paramedic research is not known. Accordingly, this scoping review aims to describe the range, extent and nature of DQA practices within research in paramedicine.

METHODS AND ANALYSIS

This scoping review will follow established methods for the conduct (Johanna Briggs Institute; Arksey and O'Malley) and reporting (Preferred Reporting Items in Systematic Reviews and Meta-Analyses extension for scoping reviews) of scoping reviews. In consultation with a professional librarian, a search strategy was developed representing the applicable population, concept and context. This strategy will be applied to MEDLINE (National Library of Medicine), Embase (Elsevier), Scopus (Elsevier) and CINAHL (EBSCO) to identify studies published from 2011 through 2021 that assess paramedic data quality as a stated goal. Studies will be included if they report quantitative results of DQA using data that relate primarily to the paramedic practice environment. Protocols, commentaries, case studies, interviews, simulations and experimental data-processing techniques will be excluded. No restrictions will be placed on language. Study selection will be performed by two reviewers, with a third available to resolve conflicts. Data will be extracted from included studies using a data-charting form piloted and iteratively revised based on studies known to be relevant. Results will be summarised in a chart of study characteristics, DQA-specific outcomes and key findings.

ETHICS AND DISSEMINATION

Ethical approval is not required. Results will be submitted to relevant conferences and peer-reviewed journals.

TRIAL REGISTRATION

10.17605/OSF.IO/Z287T.

摘要

简介

护理人员的实践环境给数据文档记录和访问带来了独特的挑战,也给医疗保健系统的其他部分带来了挑战。数据质量的变化或不确定性会影响护理研究的有效性。已经开发并使用了许多数据库质量评估(DQA)框架来评估医疗保健其他领域的数据质量。这些或其他 DQA 实践在护理研究中的应用程度尚不清楚。因此,本范围审查旨在描述护理研究中 DQA 实践的范围、程度和性质。

方法和分析

本范围审查将遵循乔安娜·布里格斯研究所(Johanna Briggs Institute)、阿特赛和奥马利(Arksey and O'Malley)制定的范围审查进行和报告(系统评价和荟萃分析扩展的首选报告项目)的既定方法。在与专业图书馆员协商后,制定了一个代表适用人群、概念和背景的搜索策略。该策略将应用于 MEDLINE(美国国立医学图书馆)、Embase(爱思唯尔)、Scopus(爱思唯尔)和 CINAHL(EBSCO),以确定 2011 年至 2021 年期间发表的评估护理人员数据质量的研究作为既定目标。如果研究报告了使用主要与护理人员实践环境相关的数据进行 DQA 的定量结果,则将纳入研究。将排除协议、评论、案例研究、访谈、模拟和实验数据处理技术。不限制语言。两名评审员将进行研究选择,如果出现争议,将有第三名评审员参与解决。将使用经过试验和根据已知相关研究迭代修订的数据图表形式从纳入的研究中提取数据。结果将总结在研究特征、DQA 特定结果和主要发现图表中。

伦理与传播

不需要伦理批准。结果将提交给相关会议和同行评议期刊。

注册

10.17605/OSF.IO/Z287T。