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Geolocation of hospitalizations registered on the Brazilian National Health System’s Hospital Information System: a solution based on the R Statistical Software

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Rocha T et al Geolocation of hospitalizations Brazil 2018.pdfPublished version5.38 MBAdobe PDFView/Open
Title: Geolocation of hospitalizations registered on the Brazilian National Health System’s Hospital Information System: a solution based on the R Statistical Software
Authors: Rocha, T
Da Silva, N
Amaral, P
Barbosa, A
Vissoci, J
Thomaz, E
Queiroz, R
Harris, M
Facchini, L
Item 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.
Issue Date: 13-Dec-2018
Date of Acceptance: 1-Sep-2018
URI: http://hdl.handle.net/10044/1/65057
DOI: https://dx.doi.org/10.5123/s1679-49742018000400016
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
Online Publication Date: 2018-12-13
Appears in Collections:School of Public Health