Title |
Geolocalização de internações cadastradas no Sistema de Informações Hospitalares do Sistema Único de Saúde: uma solução baseada no programa estatístico R
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Published in |
Epidemiologia e Serviços de Saúde, January 2018
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DOI | 10.5123/s1679-49742018000400016 |
Pubmed ID | |
Authors |
Thiago Augusto Hernandes Rocha, 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, Luiz Augusto Facchini |
Abstract |
to describe a solution enabling geolocation of hospital admissions (AIH), processed on the Brazilian National Health System's Hospital Information System. 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. 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. 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 60% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 7 | 23% |
Student > Doctoral Student | 5 | 16% |
Student > Bachelor | 4 | 13% |
Unspecified | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Other | 5 | 16% |
Unknown | 6 | 19% |
Readers by discipline | Count | As % |
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Nursing and Health Professions | 6 | 19% |
Medicine and Dentistry | 5 | 16% |
Environmental Science | 3 | 10% |
Business, Management and Accounting | 2 | 6% |
Unspecified | 2 | 6% |
Other | 6 | 19% |
Unknown | 7 | 23% |