ArticleBMC public health2022
Garbage codes in the Norwegian Cause of Death Registry 1996-2019.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
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- Uncovering variations in drowning mortality in Fiji between Indigenous iTaukei and Fijians of Indian descent during 2016-2022: a national retrospective population-based study.BMJ public health · 2026Article
- Improving the Documentation of Causes of Death Certificates Based on the International Classification of Diseases Perinatal Mortality (ICD-PM): The Impact of a Mixed Method Approach.Health science reports · 2025Article
- Estimating mortality attributable to alcohol or tobacco - a cohort study from Germany.Substance abuse treatment, prevention, and policy · 2025Article
- Association between gambling disorder and suicide mortality: a comparative cohort study using Norwegian health registry data.The Lancet regional health. Europe · 2025Article
- Cause of death certificates in nursing homes: Does quality matter? A retrospective review from two counties in Norway.Scandinavian journal of public health · 2024Article
- A scoping review on the errors in medical certification of the cause of death in India.The Indian journal of medical research · 2024Article
- Korean National Burden of Disease: The Importance of Diabetes Management.Diabetes & metabolism journal · 2024Review
- Mortality in women with a history of incarceration in Norway: a 20-year national cohort study.International journal of epidemiology · 2024Article
- [The accuracy of the causes of death with judicial intervention in Catalonia in the period 2015-2020. Effect of declaration through IML-Web application].Revista espanola de salud publica · 2024Article
- [Estimates of mortality from external causes in Brazil, 2010-2019: methodology for redistribution of garbage causes].Cadernos de saude publica · 2024Article
- Introduction of electronic death notification in Norway-Impact on diabetes mortality registration.PloS one · 2024Article
- Multi-City Analysis of the Acute Effect of Polish Smog on Cause-Specific Mortality (EP-PARTICLES Study).International journal of environmental research and public health · 2023Article
- Cause-specific excess mortality after hip fracture: the Norwegian Epidemiologic Osteoporosis Studies (NOREPOS).BMC geriatrics · 2023Article
- Changes in the Proportion of Deaths Attributable to Ill-defined Causes in Bahrain from 2000 to 2020.Saudi journal of medicine & medical sciencesArticle
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundReliable 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).
methodsData 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.
resultsA 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).
conclusionOver 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.
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