Associated factors to non-use of formal health services in the peruvian population: analysis of the national household survey (ENAHO) 2015

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  • The aim of the study was to estimate the prevalence of non-use of health services (NUHS) and its associated factors using the National Household Survey (ENAHO 2015). The participants were defined as NUHS if they have presented any symptoms, discomfort, illness, relapse of chronic illness or accident...

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Main Author: Benites-Zapata, Vicente A.; Centro de Investigación en Epidemiologia Clínica y Medicina Basada en Evidencias, Instituto de Investigación, Facultad de Medicina Humana, Universidad de San Martin de Porres. Lima, Perú. Médico cirujano, magister en Ciencias en Investigación Epidemiológica
Other Authors: Lozada-Urbano, Michelle; Facultad de Salud Pública y Administración, Universidad Peruana Cayetano Heredia. Lima, Perú. licenciada en nutrición, magíster en Salud Pública., Urrunaga-Pastor, Diego; Universidad de San Martín de Porres, Márquez-Bobadilla, Edith; Facultad de Ciencias Matemáticas, Universidad Nacional Mayor de San Marcos. Lima, Perú. Dirección General de Focalización, Ministerio de Inclusión Social. Lima, Perú. licenciada en Estadística, Moncada-Mapelli, Enrique; Sociedad Científica de Estudiantes de Medicina, Facultad de Medicina Humana, Universidad de San Martin de Porres. Lima, Perú. estudiante de Medicina, Mezones-Holguin, Edward; Facultad de Ciencias de la Salud, Universidad Peruana de Ciencias Aplicadas. Lima, Perú. Instituto Videnza. Lima, Perú. médico cirujano, magister en Ciencias en Epidemiología Clínica.
Format: Artículo
Language: spa
Published: 2017
Subjects:
Online Access: https://rpmesp.ins.gob.pe/index.php/rpmesp/article/view/2864
Summary:The aim of the study was to estimate the prevalence of non-use of health services (NUHS) and its associated factors using the National Household Survey (ENAHO 2015). The participants were defined as NUHS if they have presented any symptoms, discomfort, illness, relapse of chronic illness or accident during the last month and did not go to the health services. 35036 participants were analyzed; the prevalence of NUHS was 53,9%. NUHS was higher in the coastal region (adjusted Prevalence Ratio [aPR]=1.24;95%CI:1.17-1.31), highlands (aPR=1.38;95%CI:1.31-1.46) and jungle (aPR=1.25,95%CI:1.18-1.33) compared to Lima. Likewise, there were a higher prevalence of NUHS in participants without health insurance (aPR=1.59;95%CI:1.52-1.66) and those affiliated to Ministry of Health insurance (aPR=1.16;95%CI:1.11-1.22) compared to those affiliated to Social Security. More than half of the participants suffered from NUHS, which was associated with geographical and health system conditions. It is required evidenced-informed public policies to improve this situation.

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