Garbage codes in the Norwegian Cause of Death Registry 1996-2019.

Autopsy Cause of Death Disease Progression Humans International Classification of Diseases Registries
Cause of death Cause of death register Death certificate Garbage code Non-informative code

Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
07 07 2022
Historique:
received: 19 11 2021
accepted: 23 06 2022
entrez: 6 7 2022
pubmed: 7 7 2022
medline: 9 7 2022
Statut: epublish

Résumé

Reliable statistics on the underlying cause of death are essential for monitoring the health in a population. When there is insufficient information to identify the true underlying cause of death, the death will be classified using less informative codes, garbage codes. If many deaths are assigned a garbage code, the information value of the cause-of-death statistics is reduced. The aim of this study was to analyse the use of garbage codes in the Norwegian Cause of Death Registry (NCoDR). Data from NCoDR on all deaths among Norwegian residents in the years 1996-2019 were used to describe the occurrence of garbage codes. We used logistic regression analyses to identify determinants for the use of garbage codes. Possible explanatory factors were year of death, sex, age of death, place of death and whether an autopsy was performed. A total of 29.0% (290,469/1,000,128) of the deaths were coded with a garbage code; 14.1% (140,804/1,000,128) with a major and 15.0% (149,665/1,000,128) with a minor garbage code. The five most common major garbage codes overall were ICD-10 codes I50 (heart failure), R96 (sudden death), R54 (senility), X59 (exposure to unspecified factor), and A41 (other sepsis). The most prevalent minor garbage codes were I64 (unspecified stroke), J18 (unspecified pneumonia), C80 (malignant neoplasm with unknown primary site), E14 (unspecified diabetes mellitus), and I69 (sequelae of cerebrovascular disease). The most important determinants for the use of garbage codes were the age of the deceased (OR 17.4 for age ≥ 90 vs age < 1) and death outside hospital (OR 2.08 for unknown place of death vs hospital). Over a 24-year period, garbage codes were used in 29.0% of all deaths. The most important determinants of a death to be assigned a garbage code were advanced age and place of death outside hospital. Knowledge of the national epidemiological situation, as well as the rules and guidelines for mortality coding, is essential for understanding the prevalence and distribution of garbage codes, in order to rely on vital statistics.

Sections du résumé

BACKGROUND
Reliable statistics on the underlying cause of death are essential for monitoring the health in a population. When there is insufficient information to identify the true underlying cause of death, the death will be classified using less informative codes, garbage codes. If many deaths are assigned a garbage code, the information value of the cause-of-death statistics is reduced. The aim of this study was to analyse the use of garbage codes in the Norwegian Cause of Death Registry (NCoDR).
METHODS
Data from NCoDR on all deaths among Norwegian residents in the years 1996-2019 were used to describe the occurrence of garbage codes. We used logistic regression analyses to identify determinants for the use of garbage codes. Possible explanatory factors were year of death, sex, age of death, place of death and whether an autopsy was performed.
RESULTS
A total of 29.0% (290,469/1,000,128) of the deaths were coded with a garbage code; 14.1% (140,804/1,000,128) with a major and 15.0% (149,665/1,000,128) with a minor garbage code. The five most common major garbage codes overall were ICD-10 codes I50 (heart failure), R96 (sudden death), R54 (senility), X59 (exposure to unspecified factor), and A41 (other sepsis). The most prevalent minor garbage codes were I64 (unspecified stroke), J18 (unspecified pneumonia), C80 (malignant neoplasm with unknown primary site), E14 (unspecified diabetes mellitus), and I69 (sequelae of cerebrovascular disease). The most important determinants for the use of garbage codes were the age of the deceased (OR 17.4 for age ≥ 90 vs age < 1) and death outside hospital (OR 2.08 for unknown place of death vs hospital).
CONCLUSION
Over a 24-year period, garbage codes were used in 29.0% of all deaths. The most important determinants of a death to be assigned a garbage code were advanced age and place of death outside hospital. Knowledge of the national epidemiological situation, as well as the rules and guidelines for mortality coding, is essential for understanding the prevalence and distribution of garbage codes, in order to rely on vital statistics.

Identifiants

DOI: 10.1186/s12889-022-13693-w PMID: 35794568 PMC: PMC9261062
pubmed: 35794568
doi: 10.1186/s12889-022-13693-w
pii: 10.1186/s12889-022-13693-w
pmc: PMC9261062
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1301

Informations de copyright

© 2022. The Author(s).

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Auteurs

Christian Lycke Ellingsen (CL)

Department of Pathology, Stavanger University Hospital, PO Box 8100, N-4068, Stavanger, Norway. christian.lycke.ellingsen@sus.no.
Department of Global Public Health and Primary Care, University of Bergen, PO Box 7804, N-5020, Bergen, Norway. christian.lycke.ellingsen@sus.no.

G Cecilie Alfsen (GC)

Department of Pathology, Akershus University Hospital, PO Box 1000, N-1478, Lørenskog, Norway.
Faculty of Medicine, University of Oslo, PO Box 1078, Blindern, N-0316, Oslo, Norway.

Marta Ebbing (M)

Department of Research and Development, Haukeland University Hospital, PO Box 1400, N-5021, Bergen, Norway.

Anne Gro Pedersen (AG)

Department for Health Data and Collection, Norwegian Institute of Public Health, PO Box 973, Sentrum, N-5808, Bergen, Norway.

Gerhard Sulo (G)

Centre for Disease Burden, Norwegian Institute of Public Health, PO Box 973, Sentrum, N-5808, Bergen, Norway.

Stein Emil Vollset (SE)

Department of Global Public Health and Primary Care, University of Bergen, PO Box 7804, N-5020, Bergen, Norway.
Department of Health Metrics Sciences and Institute for Health Metrics and Evaluation, University of Washington, 3980 15th Ave NE, Seattle, WA, 98195, USA.

Geir Sverre Braut (GS)

Department of Research, Stavanger University Hospital, PO Box 8100, N-4068, Stavanger, Norway.

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Classifications MeSH

questionsmedicales.fr › Sciences sociales › Criminologie › Sciences légales › Médecine légale › Autopsie › Garbage codes in the Norwegian Cause of Death...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Registre civil › Mortalité › Cause de décès › Garbage codes in the Norwegian Cause of Death...
questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Caractéristiques de la maladie › Évolution de la maladie › Garbage codes in the Norwegian Cause of Death...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Garbage codes in the Norwegian Cause of Death...
questionsmedicales.fr › Sciences de l'information › Sources d'information › Services d'information › Documentation › Vocabulaire contrôlé › Classification internationale des maladies › Garbage codes in the Norwegian Cause of Death...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Enregistrements › Garbage codes in the Norwegian Cause of Death...