title: Probabilistic linkage in household survey on hospital care usage.
abstract: OBJECTIVE
  To evaluate the potential advantages and limitations of the use of the Brazilian hospital admission authorization forms database and the probabilistic record linkage methodology for the validation of reported utilization of hospital care services in household surveys.
  
  
  METHODS
  A total of 2,288 households interviews were conducted in the county of Duque de Caxias, Brazil. Information on the occurrence of at least one hospital admission in the year preceding the interview was obtained from a total of 10,733 household members. The 130 records of household members who reported at least one hospital admission in a public hospital were linked to a hospital database with 801,587 records, using an automatic probabilistic approach combined with an extensive clerical review.
  
  
  RESULTS
  Seventy-four (57%) of the 130 household members were identified in the hospital database. Yet only 60 subjects (46%) showed a record of hospitalization in the hospital database in the study period. Hospital admissions due to a surgery procedure were significantly more likely to have been identified in the hospital database. The low level of concordance seen in the study can be explained by the following factors: errors in the linkage process; a telescoping effect; and an incomplete record in the hospital database.
  
  
  CONCLUSIONS
  The use of hospital administrative databases and probabilistic linkage methodology may represent a methodological alternative for the validation of reported utilization of health care services, but some strategies should be employed in order to minimize the problems related to the use of this methodology in non-ideal conditions. Ideally, a single identifier, such as a personal health insurance number, and the universal coverage of the database would be desirable.
authors.affiliation: Núcleo de Estudos de Saúde Coletiva, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil. coeli@nesc.ufrj.br
authors.forename: Cláudia Medina
authors.initials: CM
authors.lastname: Coeli
authors.forename: Régis
authors.initials: R
authors.lastname: Blais
authors.forename: Maria do Carmo Esteves
authors.initials: Mdo C
authors.lastname: da Costa
authors.forename: Liz Maria
authors.initials: LM
authors.lastname: de Almeida
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001938:Brazil; D002648:Child; D002675:Child, Preschool; D016208:Databases, Factual; D005260:Female; D006296:Health Services / Q000706:statistics & numerical data*; D006760:Hospitalization / Q000706:statistics & numerical data*; D006798:Housing; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008498:Medical Record Linkage; D016347:Medical Records Systems, Computerized; D008875:Middle Aged; D011336:Probability; D015203:Reproducibility of Results