Suppr超能文献

确保良好流行病学实践(GEP)的指南和建议:德国流行病学学会制定的指南。

Guidelines and recommendations for ensuring Good Epidemiological Practice (GEP): a guideline developed by the German Society for Epidemiology.

机构信息

Section Epidemiology of Health Care and Community Health, Institute for Community Medicine, Ellernholzstr. 1-2, 17489, Greifswald, Germany.

Unit "Prevention of Work-Related Disorders", Division "Work and Health", BAuA: Federal Institute for Occupational Safety and Health, Noeldnerstr. 40-42, 10317, Berlin, Germany.

出版信息

Eur J Epidemiol. 2019 Mar;34(3):301-317. doi: 10.1007/s10654-019-00500-x. Epub 2019 Mar 4.

Abstract

OBJECTIVE

To revise the German guidelines and recommendations for ensuring Good Epidemiological Practice (GEP) that were developed in 1999 by the German Society for Epidemiology (DGEpi), evaluated and revised in 2004, supplemented in 2008, and updated in 2014.

METHODS

The executive board of the DGEpi tasked the third revision of the GEP. The revision was arrived as a result of a consensus-building process by a working group of the DGEpi in collaboration with other working groups of the DGEpi and with the German Association for Medical Informatics, Biometry and Epidemiology, the German Society of Social Medicine and Prevention (DGSMP), the German Region of the International Biometric Society (IBS-DR), the German Technology, Methods and Infrastructure for Networked Medical Research (TMF), and the German Network for Health Services Research (DNVF). The GEP also refers to related German Good Practice documents (e.g. Health Reporting, Cartographical Practice in the Healthcare System, Secondary Data Analysis).

RESULTS

The working group modified the 11 guidelines (after revision: 1 ethics, 2 research question, 3 study protocol and manual of operations, 4 data protection, 5 sample banks, 6 quality assurance, 7 data storage and documentation, 8 analysis of epidemiological data, 9 contractual framework, 10 interpretation and scientific publication, 11 communication and public health) and modified and supplemented the related recommendations. All participating scientific professional associations adopted the revised GEP.

CONCLUSIONS

The revised GEP are addressed to everyone involved in the planning, preparation, execution, analysis, and evaluation of epidemiological research, as well as research institutes and funding bodies.

摘要

目的

修订 1999 年由德国流行病学学会(DGEpi)制定、2004 年评估和修订、2008 年补充、2014 年更新的德国确保良好流行病学实践(GEP)指南和建议。

方法

DGEpi 执行委员会委托开展第三次 GEP 修订工作。修订工作是通过 DGEpi 工作组与其他工作组以及德国医学信息学、生物统计学和流行病学协会、德国社会医学和预防协会(DGSMP)、国际生物统计学学会德国区域分会(IBS-DR)、德国网络医学研究技术、方法和基础设施协会(TMF)以及德国卫生服务研究网络(DNVF)合作,达成共识的结果。GEP 还参考了相关的德国良好实践文件(例如,健康报告、医疗系统中的制图实践、二次数据分析)。

结果

工作组修改了 11 条指南(修订后:1 条伦理学,2 条研究问题,3 条研究方案和操作手册,4 条数据保护,5 条样本库,6 条质量保证,7 条数据存储和文件,8 条流行病学数据分析,9 条合同框架,10 条解释和科学出版物,11 条沟通和公共卫生),并修改和补充了相关建议。所有参与的科学专业协会都通过了修订后的 GEP。

结论

修订后的 GEP 面向参与流行病学研究的规划、准备、执行、分析和评估的人员,以及研究机构和资助机构。

相似文献

2
[Good practice of secondary data analysis, first revision].
Gesundheitswesen. 2008 Jan;70(1):54-60. doi: 10.1055/s-2007-1022529.
3
[Good Practice of Secondary Data Analysis (GPS): guidelines and recommendations].
Gesundheitswesen. 2015 Feb;77(2):120-6. doi: 10.1055/s-0034-1396815. Epub 2015 Jan 26.
6
Good Practice in Health Reporting - guidelines and recommendations.
J Health Monit. 2017 Mar 20;2(Suppl 1):02-19. doi: 10.17886/RKI-GBE-2017-013. eCollection 2017 Mar.
8
Quality assurance in non-interventional studies.
Ger Med Sci. 2009 Nov 9;7:Doc29. doi: 10.3205/000088.
9
The future of Cochrane Neonatal.
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.

引用本文的文献

3
Epidemiology and Health Care of Generalized Pustular Psoriasis in Germany - Methodology and Outcomes of Claims Data Analysis.
Psoriasis (Auckl). 2025 Jul 15;15:273-283. doi: 10.2147/PTT.S529515. eCollection 2025.
9
Establishing a cardiology registry: navigating quality and regulatory challenges with a focus on congenital heart disease.
Cardiovasc Diagn Ther. 2025 Apr 30;15(2):455-464. doi: 10.21037/cdt-2024-579. Epub 2025 Apr 23.
10
Transparency in the secondary use of health data: assessing the status quo of guidance and best practices.
R Soc Open Sci. 2025 Mar 26;12(3):241364. doi: 10.1098/rsos.241364. eCollection 2025 Mar.

本文引用的文献

1
Responsible Epidemiologic Research Practice: a guideline developed by a working group of the Netherlands Epidemiological Society.
J Clin Epidemiol. 2018 Aug;100:111-119. doi: 10.1016/j.jclinepi.2018.02.010. Epub 2018 Feb 10.
2
Ethics and Epistemology in Big Data Research.
J Bioeth Inq. 2017 Dec;14(4):489-500. doi: 10.1007/s11673-017-9771-3. Epub 2017 Mar 20.
4
A systematic approach to initial data analysis is good research practice.
J Thorac Cardiovasc Surg. 2016 Jan;151(1):25-7. doi: 10.1016/j.jtcvs.2015.09.085. Epub 2015 Sep 28.
5
The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement.
PLoS Med. 2015 Oct 6;12(10):e1001885. doi: 10.1371/journal.pmed.1001885. eCollection 2015 Oct.
6
Big data in medical science--a biostatistical view.
Dtsch Arztebl Int. 2015 Feb 27;112(9):137-42. doi: 10.3238/arztebl.2015.0137.
8
STRengthening analytical thinking for observational studies: the STRATOS initiative.
Stat Med. 2014 Dec 30;33(30):5413-32. doi: 10.1002/sim.6265. Epub 2014 Jul 30.
9
Big data and large sample size: a cautionary note on the potential for bias.
Clin Transl Sci. 2014 Aug;7(4):342-6. doi: 10.1111/cts.12178. Epub 2014 Jul 15.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验