Evidence map›Paper›PMID 27481031›Full record

ArticleRevista espanola de salud publica2016

[Coding Causes of Death with IRIS Software. Impact in Navarre Mortality Statistic].

Yugo Floristán Floristán, Josu Delfrade Osinaga, Jesus Carrillo Prieto, Jesus Aguirre Perez, Conchi Moreno-Iribas

Abstract readComparative Study
In one paragraph

Article in Revista espanola de salud publica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Automated coding and selection of causes of death in Peru: a descriptive study, 2016-2019.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023
    Article
  2. Article
  3. Review
  4. Detecting Mortality Trends in the Netherlands Across 625 Causes of Death.International journal of environmental research and public health · 2019
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yugo Floristán FloristánInstituto de Salud Pública y Laboral de Navarra. Instituto de Investigación Sanitaria de Navarra (IdiSNA). Pamplona. España.yugo.floristan.floristan@cfnavarra.es.
Josu Delfrade OsinagaInstituto de Salud Pública y Laboral de Navarra. Instituto de Investigación Sanitaria de Navarra (IdiSNA). Pamplona. España and CIBER de Epidemiología y Salud Pública (CIBERESP).
Jesus Carrillo PrietoInstituto Nacional de Estadística (INE). Madrid. España.
Jesus Aguirre PerezInstituto de Salud Pública y Laboral de Navarra. Instituto de Investigación Sanitaria de Navarra (IdiSNA). Pamplona. España.
Conchi Moreno-IribasInstituto 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere 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.

methodsWe 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.

resultsIRIS 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%).

conclusionsThe 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.

Indexed as

Cause of DeathDeath CertificatesSoftwareAdolescentAdultAgedAged, 80 and overChildChild, PreschoolClinical CodingFemaleHumansInfantInfant, NewbornMaleMiddle AgedAgingBiostatisticsCauses of DeathClinical CodingEndocrine System DiseasesEpidemiologyICD-10-CMMental disordersMortalityNervous SystemSpain

Identifiers

PMID27481031
PMCPMC11587388

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.