SEPLINE:流行病学研究中的社会经济地位——丹麦注册数据国家指南。

IF 3.2 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Clinical Epidemiology Pub Date : 2025-07-04 eCollection Date: 2025-01-01 DOI:10.2147/CLEP.S520772
Cathrine F Hjorth, Thora M Kjærulff, Mette K Thomsen, Deirdre Cronin-Fenton, Susanne O Dalton, Maja H Olsen
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引用次数: 0

摘要

背景:健康方面的社会经济差异已成为日益关注的公共卫生问题和优先事项,导致越来越多的研究调查社会经济地位与健康结果之间的关系。然而,方法实践中的可变性阻碍了研究结果的可比性,并导致效率低下,因为研究人员在选择适当的变量和方法上投入了大量资源。为了应对这些挑战,SEPLINE倡议的建立是为了制定一项方法指南,旨在提高使用丹麦登记数据的社会经济研究的可比性、质量和可行性。方法:该指南是通过共识驱动的方法制定的,涉及来自丹麦大学、研究机构和数据仓库的跨学科利益相关者小组。该指南根据丹麦登记处的数据,将社会经济地位作为一种暴露,并将癌症连续体作为案例结果来说明其应用。开发过程包括两个协作研讨会,由研讨会前的问卷调查告知。工作坊一(春季2024)侧重于社会经济指标,数据收集和数据管理,以专家演讲和小组讨论为特色。工作坊II(秋季2024)解决了分析方法,包括因果推理挑战和收入/财富评估方法。来自这些研讨会的见解被集成到指南的迭代细化中。结论和意义:该指南为使用丹麦注册数据进行社会经济流行病学研究提供了一个结构化框架,提供了关于数据源的具体信息和关于变量选择、测量时间和数据处理的建议。虽然该指南是为丹麦基于登记的癌症研究量身定制的,但其方法原则对其他疾病和国际背景具有更广泛的适用性。通过强调透明度、理论基础和方法的严谨性,SEPLINE旨在推进对健康的社会决定因素的研究。鼓励研究人员使用该指南作为相关的起点,并使其适应其特定的研究人群和研究问题,确保其在不同环境中的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SEPLINE: Socioeconomic Position in Epidemiological Research-A National Guideline on Danish Registry Data.

Background: Socioeconomic differences in health have become an increasing public health concern and priority, leading to a growing number of studies investigating the relationship between socioeconomic position and health outcomes. However, variability in methodological practices hampers the comparability of findings and leads to inefficiencies, as researchers invest substantial resources in selecting appropriate variables and methods. To address these challenges, the SEPLINE initiative was established to develop a methodological guideline aimed at enhancing the comparability, quality, and feasibility of socioeconomic research using Danish registry data.

Methods: The guideline was developed through a consensus-driven approach involving an interdisciplinary group of stakeholders from Danish universities, research institutions, and data warehouses. The guideline addresses socioeconomic position as an exposure based on data from Danish registries, with the cancer continuum applied as a case outcome to illustrate its application. The development process included two collaborative workshops informed by a pre-workshop questionnaire. Workshop I (spring 2024) focused on socioeconomic indicators, data collection, and data management, featuring expert presentations and group discussions. Workshop II (fall 2024) addressed analytical methods, including causal inference challenges and income/wealth assessment methods. Insights from these workshops were integrated into iterative refinements of the guideline.

Conclusions and implications: The guideline provides a structured framework for conducting socioeconomic epidemiological research using Danish registry data, offering specific information on data sources and recommendations about variable selection, measurement timing, and data handling. While tailored to Danish registry-based cancer research, the guideline's methodological principles have broader applicability to other diseases and international contexts. By emphasizing transparency, theoretical grounding, and methodological rigor, SEPLINE aims to advance the study of social determinants of health. Researchers are encouraged to use the guideline as a relevant starting point and adapt it to their specific study populations and research questions, ensuring its relevance across diverse settings.

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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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