title: [Coding Causes of Death with IRIS Software. Impact in Navarre Mortality Statistic].
abstract: BACKGROUND
  There are few studies that analyze changes in mortality statistics derived from the use of IRIS software, an automatic system for coding multiple causes of death and for the selection of the underlying cause of death, compared to manual coding. This study evaluated the impact of the use of IRIS in the Navarre mortality statistic.
  
  
  METHODS
  We proceeded to double coding 5,060 death certificates corresponding to residents in Navarra in 2014. We calculated coincidence between the two encodings for ICD10 chapters and for the list of causes of the Spanish National Statistics Institute (INE-102) and we estimated the change on mortality rates.
  
  
  RESULTS
  IRIS automatically coded 90% of death certificates. The coincidence to 4 characters and in the same chapter of the CIE10 was 79.1% and 92.0%, respectively. Furthermore, coincidence with the short INE-102 list was 88.3%. Higher matches were found in death certificate of people under 65 years. In comparison with manual coding there was an increase in deaths from endocrine diseases (31%), mental disorders (19%) and disease of nervous system (9%), while a decrease of genitourinary system diseases was observed (21%).
  
  
  CONCLUSIONS
  The coincidence at level of ICD10 chapters coding by IRIS in comparison to manual coding was 9 out of 10 deaths, similar to what is observed in other studies. The implementation of IRIS has led to increased of endocrine diseases, especially diabetes and hyperlipidaemia, and mental disorders, especially dementias.
authors.affiliation: Instituto de Salud Pública y Laboral de Navarra. Instituto de Investigación Sanitaria de Navarra (IdiSNA). Pamplona. España.yugo.floristan.floristan@cfnavarra.es.
authors.forename: Yugo
authors.initials: Y
authors.lastname: Floristán Floristán
authors.affiliation: Instituto de Salud Pública y Laboral de Navarra. Instituto de Investigación Sanitaria de Navarra (IdiSNA). Pamplona. España and CIBER de Epidemiología y Salud Pública (CIBERESP).
authors.forename: Josu
authors.initials: J
authors.lastname: Delfrade Osinaga
authors.affiliation: Instituto Nacional de Estadística (INE). Madrid. España.
authors.forename: Jesus
authors.initials: J
authors.lastname: Carrillo Prieto
authors.affiliation: Instituto de Salud Pública y Laboral de Navarra. Instituto de Investigación Sanitaria de Navarra (IdiSNA). Pamplona. España.
authors.forename: Jesus
authors.initials: J
authors.lastname: Aguirre Perez
authors.affiliation: Instituto de Salud Pública y Laboral de Navarra. Instituto de Investigación Sanitaria de Navarra (IdiSNA). Pamplona. España and Red de Investigación en Servicios Sanitarios en Enfermedades Crónicas (REDISSEC). Pamplona.
authors.forename: Conchi
authors.initials: C
authors.lastname: Moreno-Iribas
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002423:Cause of Death; D002648:Child; D002675:Child, Preschool; D059019:Clinical Coding / Q000379:methods*; D003644:Death Certificates; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D012984:Software; D013030:Spain / Q000453:epidemiology; D055815:Young Adult
keywords: Aging; Biostatistics; Causes of Death; Clinical Coding; Endocrine System Diseases; Epidemiology; ICD-10-CM; Mental disorders; Mortality; Nervous System; Spain