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Rev. peru. med. exp. salud publica ; 36(1): 62-67, ene.-mar. 2019. tab, graf
Article in Spanish | LILACS | ID: biblio-1004397

ABSTRACT

RESUMEN Realizamos un estudio descriptivo y ecológico que evaluó la relación entre la tendencia de la prevalencia de pacientes con enfermedad renal crónica (ERC), con el número de nefrólogos y con el número de servicios de hemodiálisis del Ministerio de salud (MINSA). El estudio se basó en un análisis secundario de las atenciones del MINSA, del Observatorio de Recursos Humanos en Salud y de los servicios de hemodiálisis registrados como Instituciones Prestadoras de Servicio de Salud del Fondo Intangible Solidario de Salud (FISSAL). Se encontró que la prevalencia ajustada de la ERC se incrementó de 0,5 a 1,5 por cada 1000 pacientes entre el 2010 y 2017, respectivamente. Las regiones con mayor incremento fueron Tumbes, Ucayali y Piura. La cantidad de nefrólogos por cada 1000 pacientes con ERC disminuyó de 4,4 en el 2010 a 1,9 en el 2016 y los servicios de hemodiálisis contratados por el FISSAL se incrementaron de 16 en el 2012 a 74 en el 2019.


ABTSRACT We conducted a descriptive and ecological study that evaluated the relationship between the prevalence trend of patients with chronic kidney disease (CKD), the number of nephrologists, and the number of hemodialysis services of the Ministry of Health (MINSA). The study was based on a secondary analysis of the care provided by MINSA, the Observatory of Human Resources in Health, and the hemodialysis services registered as Health Service Providers of the Intangible Health Solidarity Fund (FISSAL, in Spanish). The adjusted prevalence of CKD was found to have increased from 0.5 to 1.5 per 1,000 patients between 2010 and 2017. The regions with the greatest increase were Tumbes, Ucayali, and Piura. The number of nephrologists per 1,000 CKD patients decreased from 4.4 in 2010 to 1.9 in 2016; and the hemodialysis services contracted by FISSAL increased from 16 in 2012 to 74 in 2019.


Subject(s)
Adolescent , Adult , Child , Humans , Middle Aged , Renal Dialysis/statistics & numerical data , Renal Insufficiency, Chronic/epidemiology , Health Workforce/statistics & numerical data , Nephrology/statistics & numerical data , Peru/epidemiology , Time Factors , Prevalence , Government Programs , Health Services/statistics & numerical data
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