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vol.13DIAGNÓSTICO DE SITUACIÓN DE LA EVALUACIÓN DE TECNOLOGÍAS SANITARIAS EN INSTITUCIONES DEL ÁMBITO DE LA SALUD EN ARGENTINASEGURIDAD SOCIAL Y MEDICAMENTOS: MECANISMOS DE COBERTURA DE DOS OBRAS SOCIALES EN CONTEXTO DE INFLACIÓN, 2011-2019 índice de autoresíndice de assuntospesquisa de artigos
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Revista Argentina de Salud Pública

versão impressa ISSN 1852-8724versão On-line ISSN 1853-810X

Resumo

LOIACONO, Karina Valeria. Analysis of the geographic distribution of health inequity through accessibility to outpatient medical consultations. Rev. argent. salud pública [online]. 2021, vol.13, pp.31-40. ISSN 1852-8724.

INTRODUCTION

: Few studies have related the geographic inequity of access to health through outpatient medical consultations (OMC) in the official sector at national level. The objective of this research was to describe, evaluate, and measure the situation of access to health regarding OMC in Argentina in 2017.

METHODS

: A descriptive cross-sectional study was conducted. The analysis unit was the OMC in Argentina in 2017. The OMC rates at national and provincial level, and for the population of potential users that attend official establishments (PPUAOE) were calculated.

RESULTS

: The highest PPUAOE OMC rates per inhabitant were observed in Tierra del Fuego (9.1), La Pampa (10.0), Buenos Aires (10.2) and the Autonomous City of Buenos Aires (13.6), all in the fourth quartile (Q4); the ones with the lowest rates, in the first quartile (Q1), were Santiago del Estero (2.3), Córdoba (2.7), Santa Fe (3.0), Corrientes (3.4), Catamarca (3.5) and Formosa (3.7).

DISCUSSION

: The greatest geographic inequity of access to health with respect to the PPUAOE OMC in the official sector occurred in the north-central region of the country, with rates ranging from 2.3 to 13.6. Regarding the increase of non-medical consultations in recent years, the variation between 2010 and 2017 was 966.8%, which contrasts to the increase shown by OMC in the same period (only 7.4%).

Palavras-chave : Medical Consultation; Inequity; Information Systems; Geographic Areas; Health.

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