Cathrine F Hjorth, Thora M Kjærulff, Mette K Thomsen, Deirdre Cronin-Fenton, Susanne O Dalton, Maja H Olsen
{"title":"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。","authors":"Cathrine F Hjorth, Thora M Kjærulff, Mette K Thomsen, Deirdre Cronin-Fenton, Susanne O Dalton, Maja H Olsen","doi":"10.2147/CLEP.S520772","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Conclusions and implications: </strong>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.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"593-624"},"PeriodicalIF":3.2000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12242267/pdf/","citationCount":"0","resultStr":"{\"title\":\"SEPLINE: Socioeconomic Position in Epidemiological Research-A National Guideline on Danish Registry Data.\",\"authors\":\"Cathrine F Hjorth, Thora M Kjærulff, Mette K Thomsen, Deirdre Cronin-Fenton, Susanne O Dalton, Maja H Olsen\",\"doi\":\"10.2147/CLEP.S520772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Conclusions and implications: </strong>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.</p>\",\"PeriodicalId\":10362,\"journal\":{\"name\":\"Clinical Epidemiology\",\"volume\":\"17 \",\"pages\":\"593-624\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12242267/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/CLEP.S520772\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/CLEP.S520772","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
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.
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.