Christina Tzogiou1,2, Stefan Boes3, Beatrice Brunner4. 1. Winterthur Institute of Health Economics, Zurich University of Applied Sciences (ZHAW), Gertrudstrasse 15, Winterthur, 8401, Switzerland. christina.tzogiou@zhaw.ch. 2. Department of Health Sciences and Medicine, University of Lucerne, Frohburgstrasse 3, Lucerne, 6002, Switzerland. christina.tzogiou@zhaw.ch. 3. Department of Health Sciences and Medicine, University of Lucerne, Frohburgstrasse 3, Lucerne, 6002, Switzerland. 4. Winterthur Institute of Health Economics, Zurich University of Applied Sciences (ZHAW), Gertrudstrasse 15, Winterthur, 8401, Switzerland.
Abstract
BACKGROUND: Inequalities in health care use between immigrants and non-migrants are an important issue in many countries, with potentially negative effects on population health and welfare. The aim of this study is to understand the factors that explain these inequalities in Switzerland, a country with one of the highest percentages of foreign-born population. METHODS: Using health survey data, we compare non-migrants to four immigrant groups, differentiating between first- and second-generation immigrants, and culturally different and similar immigrants. To retrieve the relative contribution of each inequality-associated factor, we apply a non-linear decomposition method and categorize the factors into demographic, socio-economic, health insurance and health status factors. RESULTS: We find that non-migrants are more likely to visit a doctor compared to first-generation and culturally different immigrants and are less likely to visit the emergency department. Inequalities in doctor visits are mainly attributed to the explained component, namely to socio-economic factors (such as occupation and income), while inequalities in emergency visits are mainly attributed to the unexplained component. We also find that despite the universal health care coverage in Switzerland systemic barriers might exist. CONCLUSIONS: Our results indicate that immigrant-specific policies should be developed in order to improve access to care and efficiently manage patients in the health system.
BACKGROUND: Inequalities in health care use between immigrants and non-migrants are an important issue in many countries, with potentially negative effects on population health and welfare. The aim of this study is to understand the factors that explain these inequalities in Switzerland, a country with one of the highest percentages of foreign-born population. METHODS: Using health survey data, we compare non-migrants to four immigrant groups, differentiating between first- and second-generation immigrants, and culturally different and similar immigrants. To retrieve the relative contribution of each inequality-associated factor, we apply a non-linear decomposition method and categorize the factors into demographic, socio-economic, health insurance and health status factors. RESULTS: We find that non-migrants are more likely to visit a doctor compared to first-generation and culturally different immigrants and are less likely to visit the emergency department. Inequalities in doctor visits are mainly attributed to the explained component, namely to socio-economic factors (such as occupation and income), while inequalities in emergency visits are mainly attributed to the unexplained component. We also find that despite the universal health care coverage in Switzerland systemic barriers might exist. CONCLUSIONS: Our results indicate that immigrant-specific policies should be developed in order to improve access to care and efficiently manage patients in the health system.
Entities:
Keywords:
Health care demand; Immigrants; Inequalities; Non-linear decomposition
Authors: Luis A Gimeno-Feliu; Amaia Calderón-Larrañaga; Esperanza Diaz; Beatriz Poblador-Plou; Rosa Macipe-Costa; Alexandra Prados-Torres Journal: BMC Public Health Date: 2016-05-27 Impact factor: 3.295
Authors: Christina Tzogiou; Jacques Spycher; Raphaël Bize; Javier Sanchis Zozaya; Jeremie Blaser; Brigitte Pahud Vermeulen; Andrea Felappi; Patrick Bodenmann; Joachim Marti Journal: BMC Health Serv Res Date: 2022-07-30 Impact factor: 2.908
Authors: Chukwuedozie K Ajaero; Nicole De Wet-Billings; Chiemezie Atama; Prince Agwu; Eberechukwu J Eze Journal: BMC Public Health Date: 2021-05-27 Impact factor: 3.295