Literature DB >> 21775384

Register-based studies on migration, ethnicity, and health.

Marie Norredam1, Marianne Kastrup, Karin Helweg-Larsen.   

Abstract

INTRODUCTION: Researchers in Denmark have unique possibilities of register-based research in relation to migration, ethnicity, and health. This review article outlines how these opportunities have been used, so far, by presenting a series of examples. RESEARCH TOPICS: We selected six registers to highlight the process of how migrant study populations have been established and studied in relation to different registers: The Danish Cancer Registry, the Danish Central Psychiatric Research Register, the Danish National Patient Register, the Danish National Health Service Register, the Danish Injury Register, and the Danish Medical Birth Register.
CONCLUSION: Our paper documents the unique opportunities to study migration, ethnicity, and health through Danish national registers. Our examples show that in Denmark ''country of birth'' is the most commonly used measure. It renders information on whether the person is an immigrant or not, and on ethnic background. Data on migration background (i.e. refugee status vs. family reunification, etc.) is more difficult to obtain and therefore less used. It has been debated if ethnicity should be registered upon using health services; however, some consider it discriminatory. Although, we do not register ethnicity in relation to use of health care in Denmark, our possibilities of linkage between population registers and registers on diseases and healthcare utilisation appear to render the same potentials.

Entities:  

Mesh:

Year:  2011        PMID: 21775384     DOI: 10.1177/1403494810396561

Source DB:  PubMed          Journal:  Scand J Public Health        ISSN: 1403-4948            Impact factor:   3.021


  12 in total

1.  Socioeconomic inequality in clinical outcome among hip fracture patients: a nationwide cohort study.

Authors:  P K Kristensen; T M Thillemann; A B Pedersen; K Søballe; S P Johnsen
Journal:  Osteoporos Int       Date:  2016-12-01       Impact factor: 4.507

2.  Challenges in Identifying Refugees in National Health Data Sets.

Authors:  Wagahta Semere; Katherine Yun; Cyrus Ahalt; Brie Williams; Emily A Wang
Journal:  Am J Public Health       Date:  2016-05-19       Impact factor: 9.308

3.  HPV self-sampling in cervical cancer screening: the effect of different invitation strategies in various socioeconomic groups - a randomized controlled trial.

Authors:  Mette Tranberg; Bodil Hammer Bech; Jan Blaakær; Jørgen Skov Jensen; Hans Svanholm; Berit Andersen
Journal:  Clin Epidemiol       Date:  2018-08-23       Impact factor: 4.790

4.  Using population registers for migration and integration research: examples from Denmark and Sweden.

Authors:  Romana Careja; Pieter Bevelander
Journal:  Comp Migr Stud       Date:  2018-06-18

5.  Hospital differences in mortality rates after hip fracture surgery in Denmark.

Authors:  Pia Kjær Kristensen; Juan Merlo; Nermin Ghith; George Leckie; Søren Paaske Johnsen
Journal:  Clin Epidemiol       Date:  2019-07-16       Impact factor: 4.790

6.  Big data: what it can and cannot achieve.

Authors: 
Journal:  BJPsych Adv       Date:  2018-06-06

7.  Use of country of birth as an indicator of refugee background in health datasets.

Authors:  Melanie Gibson-Helm; Jacqueline Boyle; Andrew Block; Helena Teede
Journal:  BMC Med Res Methodol       Date:  2014-02-19       Impact factor: 4.615

8.  Migrants and health in the Nordic welfare states.

Authors:  Bent Greve
Journal:  Public Health Rev       Date:  2016-08-26

9.  Effort-reward imbalance at work and weight changes in a nationwide cohort of workers in Denmark.

Authors:  Mads Nordentoft; Naja Hulvej Rod; Jens Peter Bonde; Jakob Bue Bjorner; Bryan Cleal; Ann Dyreborg Larsen; Ida E H Madsen; Linda L Magnusson Hanson; Mette Andersen Nexo; Line Rosendahl Meldgaard Pedersen; Tom Sterud; Tianwei Xu; Reiner Rugulies
Journal:  Am J Ind Med       Date:  2020-04-14       Impact factor: 2.214

10.  Patterns of Multimorbidity and Differences in Healthcare Utilization and Complexity Among Acutely Hospitalized Medical Patients (≥65 Years) - A Latent Class Approach.

Authors:  Helle Gybel Juul-Larsen; Line Due Christensen; Thomas Bandholm; Ove Andersen; Thomas Kallemose; Lillian Mørch Jørgensen; Janne Petersen
Journal:  Clin Epidemiol       Date:  2020-02-28       Impact factor: 4.790

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.