Relationship between Access to Health Services, Perceived Discrimination and Immigration Status in Chile According to Casen 2017

Author(s)

Chepo M1, Mondaca K2, Cea-Nettig X1, Silva C3, Febré N1
1Universidad Andres Bello, santiago, RM, Chile, 2Universidad Andres Bello, Chile, RM, Chile, 3Universidad Mayor, Santiago, Chile

OBJECTIVES: Describe the relationship between access to health services and perceived discrimination in the international migrant population using the Socioeconomic Characterization Survey (CASEN) of 2017.

METHODS: Secondary analysis of Socioeconomic Characterization Surveys (CASEN) 2017. The head of the household provided the information. The dependent variable was the self-report of controls and medical consultations in the last three months, and the exposure variable was the migratory condition. The independent variables were perception of discrimination for any cause in the previous 12 months, age, sex, multidimensional poverty. The association analysis was performed in a crude and adjusted way through Negative Binomial Regression, calculating PRR, with expansion factors for national representation and a 95% confidence interval, using Stata 14

RESULTS: The total estimated population was 17,807,414, where 4.37% of the population reported being a migrant (N = 777,407). 32.2% of the migrant population (95% CI 25.8-39.5%) reported discrimination for any cause, while the figure in Chileans reached 12.7% (95% CI 12.2-13.2). There is an underutilization of controls and health consultations by the immigrant population (average of consultations in the last 3 months = 1.24; 95% CI 0.76-1.72), compared to the Chilean population, (average consultations = 1,96; 95% CI 1.85-2.06). Discrimination was the variable that showed the greatest strength of association in the rate of health check-ups and consultations in the last three months over the other variables (PRR 1.51; CI 1.32-1.72, p <0.001).

CONCLUSIONS: In Chile, the migrant population faces discrimination scenarios and less access to health services. The crossing of these three conditions, under the logic of the Model of Social Determinants of Health, could explain part of the unfair differences in health outcomes in this group, making it essential to expand the study of associated mechanisms to help in the narrowing this gap.

Conference/Value in Health Info

2020-11, ISPOR Europe 2020, Milan, Italy

Value in Health, Volume 23, Issue S2 (December 2020)

Code

PNS44

Topic

Epidemiology & Public Health, Health Policy & Regulatory

Topic Subcategory

Health Disparities & Equity, Public Health

Disease

No Specific Disease

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