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csapAIH: uma função para a classificação das condições sensíveis à atenção primária no programa estatístico R*

Overview of attention for article published in Epidemiologia e Serviços de Saúde, January 2017
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Title
csapAIH: uma função para a classificação das condições sensíveis à atenção primária no programa estatístico R*
Published in
Epidemiologia e Serviços de Saúde, January 2017
DOI 10.5123/s1679-49742017000100021
Pubmed ID
Authors

Fúlvio Borges Nedel

Abstract

Hospitalizations due to ambulatory care sensitive conditions (ACSC) are an indirect indicator of primary health care. A package in the R program was developed in order to automatize the classification of codes of the International Statistical Classification of Diseases and Related Health Problems - 10th Revision (ICD-10), according to the Brazilian list of ACSC, and provide functionalities for the management of the "reduced files" of the inpatient hospital authorization (AIH). The csapAIH package contains a homonym function, which reads the data according to its nature (file or data frame with AIH structure, or a factor with ICD-10 codes) and returns, according to defined options, a databank or vector containing the classification for the hospitalization. This article presents the package and the function csapAIH, its installation mode and use, and examples of its functionalities, which may add quickness, precision and validity to the research of ACSC in Brazil.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 24%
Professor 3 14%
Other 3 14%
Student > Master 2 10%
Librarian 1 5%
Other 4 19%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 5 24%
Nursing and Health Professions 5 24%
Biochemistry, Genetics and Molecular Biology 1 5%
Business, Management and Accounting 1 5%
Environmental Science 1 5%
Other 4 19%
Unknown 4 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2017.
All research outputs
#12,437,631
of 15,650,802 outputs
Outputs from Epidemiologia e Serviços de Saúde
#136
of 252 outputs
Outputs of similar age
#195,362
of 266,192 outputs
Outputs of similar age from Epidemiologia e Serviços de Saúde
#2
of 2 outputs
Altmetric has tracked 15,650,802 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 252 research outputs from this source. They receive a mean Attention Score of 1.8. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.