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Institute
The economic and health consequences of the COVID-19 pandemic pose a particular threat to vulnerable groups, such as migrants, particularly forcibly displaced populations. The aim of this review is (i) to synthesise the evidence on risk of infection and transmission among migrants, refugees, asylum seekers and internally displaced populations, and (ii) the effect of lockdown measures on these populations. We searched MEDLINE and WOS, preprint servers, and pertinent websites between 1st December 2019 and 26th June 2020. The included studies showed a high heterogeneity in study design, population, outcome and quality. The incidence risk of SARS-CoV-2 varied from 0•12% to 2•08% in non-outbreak settings and from 5•64% to 21•15% in outbreak settings. Migrants showed a lower hospitalisation rate compared to non-migrants. Negative impacts on mental health due to lockdown measures were found across respective studies. However, findings show a tenuous and heterogeneous data situation, showing the need for more robust and comparative study designs.
Pflege türkischer Migranten
(2008)
Obwohl die Bevölkerungsgruppe mit türkischem Migrationshintergrund in Deutschland zur Zeit noch ein vergleichsweise niedriges Durchschnittsalter aufweist,
wächst der Anteil älterer Menschen unter den türkischen Migrantinnen und Migranten. Vor diesem Hintergrund gewinnen Fragen zur Pflegeversorgung dieser Bevölkerungsgruppe stark an Bedeutung, über die bisher in Deutschland kaum wissenschaftlich abgesicherte Erkenntnisse existieren. Das folgende Kapitel beschreibt die besondere Situation von Menschen mit türkischem Migrationshintergrund, die in Deutschland leben, und gibt so erste Einblicke in dieses noch junge aber wichtige Forschungsfeld und stellt einen Einstieg in die weitere Forschung zu diesem Thema dar.
Arbeitsunfälle, Berufskrankheiten und Erwerbsminderung bei Menschen mit Migrationshintergrund
(2013)
Migration und Gesundheit
(2016)
Deutschland ist ein Zuwanderungsland. Hier lebende Menschen mit Migrationshintergrund sollten den gleichen Zugang zu gesundheitsbezogenen Leistungen haben wie die gesamte Bevölkerung. Es bestehen jedoch noch Zugangshindernisse sowie Unterschiede im Nutzungsverhalten und bei den gesundheitlichen Ergebnissen. Diversity Management wird als eine Strategie diskutiert, um unterschiedliche Bedarfe und Bedürfnisse zu berücksichtigen und gesundheitliche Chancengleichheit zu erreichen.
Background
Claims for self-determined childbirth (SDC) have gained increasing scientific, political and societal attention. However, research on SDC is limited. This study analyzes and compares midwives’ experiences and perspectives on factors that promote or limit SDC in hospitals, birthing centers and during home births in Germany. We argue that these insights are essential in order to foster self-determination and to avoid its violation.
Methods
A qualitative case study was conducted based on semi-structured face-to-face interviews with midwives working in hospitals, birthing centers, and offering home births in Germany. In total, nine interviews were conducted in 2021 and have been audiotaped, transcribed, anonymized and analyzed by use of Thematic Analysis.
Results
The results indicate eight inter-related categories, each of which imply promoting and limiting factors: 1) Structural/ legal conditions; 2) Perception of birth (e. g. as natural or medical process; required competence and control); 3) Trust and atmosphere; 4) Getting acquainted/relationship building; 5) Birthing person’s socioeconomic position; 6) Birthing person’s preparation/ education; 7) Birthing person’s capability of decision making and expression; and 8) Behavior of accompanying persons. Moreover, we identified midwives’ strategies to extend possibilities of choice. Several factors clearly differ depending on the birth setting.
Conclusions
The opportunities for SDC seem to differ according to the setting (e.g. institutional routines), inter-personal relations (e.g. getting acquainted, trust), and individual factors (e.g. socioeconomic position, capabilities). Hence, political, institutional and individual strategies may support SDC in consideration of the above factors. Measures may, among others, include the improvement of information processes, the reduction of economic barriers, relationship building before and during birth as well as respective structural adjustments.
Do regional characteristics predict developmental delay? Analyses of German school entry examination
(2022)
Background
Children's health and development are strongly linked to their living situation, including their family's socioeconomic position (SEP) and living region. However, research on the impact of the living region on children's development beyond family SEP is scarce. This study evaluated whether rurality and regional socioeconomic deprivation (DEP) are associated with children's development independently of family SEP.
Methods
The study used population-based data of 5-6.5 years old children (n = 22,801) from mandatory school entry examinations (SEE) in the German federal state of Brandenburg, which were examined in 2018/2019. The SEE data have been linked with data on i. rurality that was defined by an inverted population density and ii. regional DEP that were provided by the German Index of Socioeconomic Deprivation. By binary multilevel models, the predictive values of rurality and regional DEP for global developmental delay (GDD) were evaluated, while adjusting for family SEP.
Results
Children with high family SEP showed reduced odds for GDD compared to medium family SEP (female: OR = 4.26, CI95=3.14-5.79, male: OR = 3.46, CI95=2.83-4.22) and low family SEP (female: OR = 16.58, CI95=11.90-23.09, male: OR = 12.79, CI95=10.13-16.16). Regional DEP additionally predicted GDD, with higher odds for children from more deprived regions (female: OR = 1.35, CI95=1.13-1.62, male: OR = 1.20, CI95=1.05-1.39). Rurality did not predict GDD beyond family SEP and regional DEP.
Conclusions
In addition to family SEP, the regional DEP has an effect on children's developmental delay. Hence, Public Health should take into account regional socioeconomic conditions as determinant of health over the life course in addition to family SEP.