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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.

Publication ,  Journal Article
Rocha, TAH; Silva, NCD; Amaral, PVM; Barbosa, ACQ; Vissoci, JRN; Thomaz, EBAF; Queiroz, RCDS; Harris, M; Facchini, LA
Published in: Epidemiol Serv Saude
December 13, 2018

OBJECTIVE: to describe a solution enabling geolocation of hospital admissions (AIH), processed on the Brazilian National Health System's Hospital Information System. METHODS: in order to spatialize AIHs an R language script was written, based on the microdatasus and CepR packages; the script was applied to identify all AIHs in Goiás state in the year 2015; after downloading and pre-processing the data, the procedure for AIH spatialization was detailed. RESULTS: of the 361,213 AIHs processed, we were able to retrieve 24,220 different ZIP codes (CEPs); from this set of ZIP codes, 23,910 (98.7%) were geolocated; these geolocated ZIP codes enabled spatialization of 97.7% of AIHs processed for the state of Goiás. CONCLUSION: it is possible to spatialize AIHs with a high success rate; the method detailed in this paper opens a new range of possibilities for the design of evaluation studies, formulation of policies and planning of health care actions.

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Published In

Epidemiol Serv Saude

DOI

EISSN

2237-9622

Publication Date

December 13, 2018

Volume

27

Issue

4

Start / End Page

e2017444

Location

Brazil

Related Subject Headings

  • Software
  • National Health Programs
  • Humans
  • Hospitalization
  • Hospital Information Systems
  • Geographic Information Systems
  • Brazil
 

Citation

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Rocha, T. A. H., Silva, N. C. D., Amaral, P. V. M., Barbosa, A. C. Q., Vissoci, J. R. N., Thomaz, E. B. A. F., … Facchini, L. A. (2018). Geolocation of hospitalizations registered on the Brazilian National Health System's Hospital Information System: a solution based on the R Statistical Software. Epidemiol Serv Saude, 27(4), e2017444. https://doi.org/10.5123/S1679-49742018000400016
Rocha, Thiago Augusto Hernandes, Núbia Cristina da Silva, Pedro Vasconcelos Maia Amaral, Allan Claudius Queiroz Barbosa, João Ricardo Nickenig Vissoci, Erika Bárbara Abreu Fonseca Thomaz, Rejane Christine de Sousa Queiroz, Matthew Harris, and Luiz Augusto Facchini. “Geolocation of hospitalizations registered on the Brazilian National Health System's Hospital Information System: a solution based on the R Statistical Software.Epidemiol Serv Saude 27, no. 4 (December 13, 2018): e2017444. https://doi.org/10.5123/S1679-49742018000400016.
Rocha TAH, Silva NCD, Amaral PVM, Barbosa ACQ, Vissoci JRN, Thomaz EBAF, et al. Geolocation of hospitalizations registered on the Brazilian National Health System's Hospital Information System: a solution based on the R Statistical Software. Epidemiol Serv Saude. 2018 Dec 13;27(4):e2017444.
Rocha, Thiago Augusto Hernandes, et al. “Geolocation of hospitalizations registered on the Brazilian National Health System's Hospital Information System: a solution based on the R Statistical Software.Epidemiol Serv Saude, vol. 27, no. 4, Dec. 2018, p. e2017444. Pubmed, doi:10.5123/S1679-49742018000400016.
Rocha TAH, Silva NCD, Amaral PVM, Barbosa ACQ, Vissoci JRN, Thomaz EBAF, Queiroz RCDS, Harris M, Facchini LA. Geolocation of hospitalizations registered on the Brazilian National Health System's Hospital Information System: a solution based on the R Statistical Software. Epidemiol Serv Saude. 2018 Dec 13;27(4):e2017444.

Published In

Epidemiol Serv Saude

DOI

EISSN

2237-9622

Publication Date

December 13, 2018

Volume

27

Issue

4

Start / End Page

e2017444

Location

Brazil

Related Subject Headings

  • Software
  • National Health Programs
  • Humans
  • Hospitalization
  • Hospital Information Systems
  • Geographic Information Systems
  • Brazil