Health monitoring among asylum seekers and refugees: a state-wide, cross-sectional, population-based study in Germany

Abstract: Background: Health monitoring in Germany falls short on generating timely, reliable and representative data among migrants, especially transient and marginalized groups such as asylum seekers and refugees (ASR). We aim to advance current health monitoring approaches and obtain reliable estimates on health status and access to essential healthcare services among ASR in Germany’s third largest federal state, Baden-Württemberg. Methods: We conducted a state-wide, cross-sectional, population-based health monitoring survey in nine languages among ASR and their children in collective accommodation centres in 44 districts. Questionnaire items capturing health status, access to care, and sociodemographic variables were taken from established surveys and translated using a team approach. Random sampling on the level of 1938 accommodation centres with 70,634 ASR was employed to draw a balanced sample of 65 centres with a net sample of 1% of the state's ASR population. Multilingual field team

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
Veröffentlichungsversion
begutachtet (peer reviewed)
In: Emerging Themes in Epidemiology ; 16 (2019) ; 1-21

Klassifikation
Soziale Probleme, Sozialdienste, Versicherungen

Ereignis
Veröffentlichung
(wo)
Mannheim
(wer)
SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
(wann)
2019
Urheber
Biddle, Louise
Menold, Natalja
Bentner, Martina
Nöst, Stefan
Jahn, Rosa
Ziegler, Sandra
Bozorgmehr, Kayvan

DOI
10.1186/s12982-019-0085-2
URN
urn:nbn:de:0168-ssoar-71115-9
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:46 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Beteiligte

  • Biddle, Louise
  • Menold, Natalja
  • Bentner, Martina
  • Nöst, Stefan
  • Jahn, Rosa
  • Ziegler, Sandra
  • Bozorgmehr, Kayvan
  • SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.

Entstanden

  • 2019

Ähnliche Objekte (12)