Geolocation of hospitalizations registered on the Brazilian National Health System’s Hospital Information System: a solution based on the R Statistical Software
File(s)
Author(s)
Type
Journal Article
Abstract
Goal:
present a solution to allow the geolocation of hospitalizations processed together with the Hospital Information System of the Brazilian National Health System.
Methods:
with the purpose of spatializing the AIHs, a script was elaborated in language R, based on the microdatosus and CepR packages; the script was applied to all AIHs made in the state of Goiás referring to 2015; after downloading and pre-processing the data, the procedure for the spatialization of AIHs was detailed.
Results:
of the 361,213 AIHs processed, it was possible to extract 24,220 different postal codes (CEP); of this set of postal codes, 23,910 (98.7%) were geolocalized; these geolocalized CEPs allowed the spatialization of 97.7% of the AIHs registered in Goiás.
Conclusion:
it is possible to spatialize the AIHs with a high success rate; the method detailed in this document opens up a new range of possibilities for the design of evaluative studies, the formulation of policies and the planning of health actions.
present a solution to allow the geolocation of hospitalizations processed together with the Hospital Information System of the Brazilian National Health System.
Methods:
with the purpose of spatializing the AIHs, a script was elaborated in language R, based on the microdatosus and CepR packages; the script was applied to all AIHs made in the state of Goiás referring to 2015; after downloading and pre-processing the data, the procedure for the spatialization of AIHs was detailed.
Results:
of the 361,213 AIHs processed, it was possible to extract 24,220 different postal codes (CEP); of this set of postal codes, 23,910 (98.7%) were geolocalized; these geolocalized CEPs allowed the spatialization of 97.7% of the AIHs registered in Goiás.
Conclusion:
it is possible to spatialize the AIHs with a high success rate; the method detailed in this document opens up a new range of possibilities for the design of evaluative studies, the formulation of policies and the planning of health actions.
Date Issued
2018-12-13
Date Acceptance
2018-09-01
Citation
Epidemiologia e Serviços de Saúde, 2018, 27 (4)
ISSN
1679-4974
Publisher
Ministério da Saúde
Journal / Book Title
Epidemiologia e Serviços de Saúde
Volume
27
Issue
4
Copyright Statement
© 2018 The Author(s). Published by Ministério da Saúde. This article is available under a Creative Commons Non-Commercial Licence (https://creativecommons.org/licenses/by-nc/4.0/)
Publication Status
Published
Article Number
e2017444
Date Publish Online
2018-12-13