title: Hospital discharges and mortality registries: 2 complementary databases for the epidemiological surveillance of stroke.
abstract: BACKGROUND
  Stroke is a public health concern and the availability of a stroke registry would provide valuable information. Administrative hospital data and mortality registries have been previously suggested as suitable sources of information. The aim of this study was to evaluate the utility of merging data from a hospital discharge database and the mortality registry (MR) to estimate the incidence of stroke in La Rioja, Spain.
  
  
  METHODS
  A cross-sectional study about events of stroke occurred in our region in 2009 was carried out. Patients were selected among those registered in the discharge hospital database and in the MR, using the International Classification of Diseases. The databases were merged to detect duplicated occurrences and to estimate the number of cases identified by each source. Characteristics of the study population were analyzed and crude- and age-adjusted incidence rates were assessed.
  
  
  RESULTS
  Using both databases, 1133 stroke events were detected, 153 (13.5%) representing coincident or recurrent cases. A total of 980 incident stroke cases were obtained, 150 provided by the MR (15.3%) and 830 by the hospital discharge database (84.7%). Incidence of stroke was similar in men than in women, the ischemic stroke being the major type. Most of the study population (66%) were older than 74 years. Crude incidence rate was 304.6 per 100,000, and age-adjusted rates were 171.1 per 100,000 (adjusted to the European population) and 107.9 per 100,000 (adjusted to the World population).
  
  
  CONCLUSIONS
  Considering both the Minimum Basic Data Set and the MR as data sources appears advisable to build a stroke registry to evaluate the incidence and to perform epidemiological surveillance of stroke.
authors.affiliation: Department of Epidemiology, La Rioja Regional Authority, Logroño, Spain. Electronic address: eramalle@larioja.org.
authors.forename: Enrique
authors.initials: E
authors.lastname: Ramalle-Gomara
authors.forename: Elena
authors.initials: E
authors.lastname: Ruiz
authors.forename: Marta
authors.initials: M
authors.lastname: Serrano
authors.forename: Mónica
authors.initials: M
authors.lastname: Bártulos
authors.forename: María-Ángeles
authors.initials: MÁ
authors.lastname: González
authors.forename: Belinda
authors.initials: B
authors.lastname: Matute
mesh_terms: D000328:Adult; D017677:Age Distribution; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D003430:Cross-Sectional Studies; D016208:Databases, Factual / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D010351:Patient Discharge / Q000706:statistics & numerical data*; D011159:Population Surveillance / Q000379:methods*; D011379:Prognosis; D012042:Registries / Q000706:statistics & numerical data*; D012307:Risk Factors; D017678:Sex Distribution; D012737:Sex Factors; D013030:Spain / Q000453:epidemiology; D020521:Stroke / Q000175:diagnosis / Q000453:epidemiology* / Q000401:mortality; D013997:Time Factors
keywords: Stroke; hospital discharge; incidence rate; mortality registries; surveillance