Literature DB >> 21031250

[Automated geospatial model for health services strategic planning].

Juan Eugenio Hernández-Ávila1, René Santos-Luna, Lina Sofía Palacio-Mejía, Ana Lidia Salgado-Salgado, Víctor Hugo Ríos-Salgado, Mario Henry Rodríguez-López, Jaime Sepúlveda-Amor.   

Abstract

OBJECTIVE: To develop an automated model for the operational regionalization needed in the planning of the health service networks proposed by the new Mexican health care model (Modelo Integrador de Servicios de Salud MIDAS).
MATERIAL AND METHODS: Using available data for México during 2005 and 2007, a geospatial model was developed to estimate potential catchment areas around health facilities based on access travel time. The results were compared with an operational regionalization (ERO) study manually carried out in Oaxaca with 2005 data.
RESULTS: The ERO assigned 48% of villages to health care centers further away than those assigned by the geospatial model, and 23% of these health centers referred patients to more distant hospitals.
CONCLUSIONS: The model calculated by this study generated a more efficient regionalization than the ERO model, minimizing travel time to access health services. This model has been adopted by the General Department of Health Planning and Development of the Mexican Ministry of Health for the implementation of the Health Sector Infrastructure Master Plan.

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Year:  2010        PMID: 21031250     DOI: 10.1590/s0036-36342010000500011

Source DB:  PubMed          Journal:  Salud Publica Mex        ISSN: 0036-3634


  1 in total

1.  Geographic variations in cervical cancer risk in San Luis Potosí state, Mexico: A spatial statistical approach.

Authors:  Mónica Terán-Hernández; Rebeca Ramis-Prieto; Jaqueline Calderón-Hernández; Carlos Félix Garrocho-Rangel; Juan Campos-Alanís; José Antonio Ávalos-Lozano; Miguel Aguilar-Robledo
Journal:  Int J Equity Health       Date:  2016-09-29
  1 in total

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