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Social determinants of the non-use of the explicit health guarantees plan (the GES plan)

INTRODUCTION: The public policy called Explicit health guarantees (GES) could serve as a basis for the future implementation of universal health coverage in Chile. An improvement in the quality of health of the Chilean population has been observed since the launching of the GES, which has a high adh...

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Detalles Bibliográficos
Autores principales: Alvear-Vega, Sandra, Vargas-Garrido, Héctor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588241/
https://www.ncbi.nlm.nih.gov/pubmed/37858166
http://dx.doi.org/10.1186/s12913-023-10149-8
Descripción
Sumario:INTRODUCTION: The public policy called Explicit health guarantees (GES) could serve as a basis for the future implementation of universal health coverage in Chile. An improvement in the quality of health of the Chilean population has been observed since the launching of the GES, which has a high adherence (84% of the beneficiary population uses this health program). This work seeks the social determinants related to a portion of the remaining 16% of people who do not use the GES. METHODS: This secondary analysis study used a sample of GES recipients (n = 164,786) from the National Socioeconomic Characterization Survey (CASEN) 2020. The GES recipients included in the study responded that they had been under medical treatment for 20 of the 85 pathologies included in the GES, and they had not had access to such policy due to “trust in physician/facility,“ “decided not to wait,“ or “lack of information.” The CASEN survey chose the 20 pathologies. The Average Marginal Effects of social determinants of the non-use of the GES health plan were predicted using multivariable and panel multinomial probit regression analyses, where the outcome variable assumed three possible values (the three reasons for not accessing) while taking those variables reported in previous studies as independent variables. RESULTS: A higher probability of non-access due to distrust in the physician/facility among adults with higher economic income was found. Among those who prefer not to wait are vulnerable groups of people: women, people with a lower-middle income, those who belong to groups with longer waiting times, and ethnic groups. The people who least access the GES due to lack of information correspond to part of the migrant population and those belonging to the lowest income group. CONCLUSIONS: The GES policy must necessarily improve the timeliness and quality of the services to make them attractive to groups that currently do not have access to them, managing waiting times rather than referrals and using patient-centered evaluations, especially in those most vulnerable groups that do not access GES because they choose not to wait or lack the necessary information, thereby improving their health literacy.