get_cnes: Get health units data from CNES

In bigdata-icict/pcdasindi: Calculates health indicators to Brazil

Description

This function retrieves health units data from PCDaS ElasticSearch cluster for a specified year.

Usage

get_cnes(
  conn,
  agr,
  ano_competen = NULL,
  mes_competen = NULL,
  vinc_sus = NULL,
  leitos_hosp = NULL,
  tipo_unidade = NULL,
  esfera_admin = NULL,
  lucene_query = NULL
)

Arguments

conn	Connection object created with pcdas_connect.
ano_competen	numeric. Competence year.
mes_competen	numeric. Competence month.
vinc_sus	numeric. Health units with SUS relationship. 1 for yes and 0 for no.
leitos_hosp	numeric. Health units with hospital, circury and other kinds of beds. 1 for yes and 0 for no.
tipo_unidade	string. Health unit type.
esfera_admin	string. Health unit administration level.
lucene_query	string. A more complex lucene query can be presented here. The string must be informed using sigle quotes. If used, all other filters will be ignored.
agg	string. Aggregation level. 'mun' for municipalities, 'uf' for "unidades federativas" or 'regsaude' for "regiões de saúde".

Details

This function uses raw data from the Cadastro Nacional de Estabelecimentos de Saúde Sistema de Informações de Internações Hospitalares (SIH) available at the PCDaS ElasticSearch cluster. A documentation about this data can be found at https://bigdata-metadados.icict.fiocruz.br/dataset/sistema-de-informacoes-de-mortalidade-sim. The CID-10 codes and name for chapters, group, category and subcategories of basic cause of death can be inspected at the same address above.

Value

A data.frame containing number of health units for the aggregation level.

Examples

cnes <- get_cnes(conn = conn, agr = "mun", ano_competen = 2010, mes_competen = 6)
cnes <- get_cnes(conn = conn, agr = "mun", ano_competen = 2010, mes_competen = 6, vinc_sus = 1)
cnes <- get_cnes(conn = conn, agr = "mun", ano_competen = 2010, mes_competen = 6, leitos_hosp = 1)
cnes <- get_cnes(conn = conn, agr = "mun", ano_competen = 2010, mes_competen = 6, tipo_unidade = "HOSPITAL GERAL")

bigdata-icict/pcdasindi documentation built on March 11, 2020, 5:15 p.m.