title: [Hospitalizations due to ambulatory care-sensitive conditions in the Federal District, Brazil, 2008].
abstract: OBJECTIVE
  To analyze hospitalization rates due to ambulatory care-sensitive conditions.
  
  
  METHODS
  The study used data from the Hospital Database of the Brazilian National Health System corresponding to the Federal District in the year of 2008. The main diagnosis for hospitalization was analyzed based on the International Classification of Diseases, and absolute frequency, proportion and coefficient were calculated according to causes, age groups and sex.
  
  
  RESULTS
  The ambulatory care-sensitive conditions (ACSC) represented approximately 20% of the hospital admissions in the National Health System. The most frequent conditions were: gastroenteritis (2.4%), heart failure (2.3%), and kidney and urinary tract infection (2.1%). The following aspects were verified: significant hospitalization rates due to ACSC in the infant group (< 1 year of age), an important reduction in the following age groups (1 to 29 years), and a gradual increase until the more advanced ages. Compared to men, hospitalization rates were slightly higher among young women (20 to 29 years) and lower among women older than 49 years.
  
  
  CONCLUSIONS
  Hospitalizations due to ACSC represented 19.5% of all hospital admissions in the Federal District (2008), and the main causes of hospitalizations were gastroenteritis, heart failure and kidney and urinary tract infection. The effectiveness of primary health care in preventing these events in the Federal District is discussed.
authors.affiliation: Universidade de Brasília, Brasília, DF, Brasil. rozania@unb.br
authors.forename: Rozania Maria Pereira
authors.initials: RM
authors.lastname: Junqueira
authors.forename: Elisabeth Carmen
authors.initials: EC
authors.lastname: Duarte
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001938:Brazil; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D005260:Female; D006751:Hospital Information Systems; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D038801:International Classification of Diseases; D008297:Male; D008875:Middle Aged; D009313:National Health Programs / Q000706:statistics & numerical data; D011320:Primary Health Care / Q000706:statistics & numerical data*; D012737:Sex Factors; D055815:Young Adult