Evidence map›Paper›PMID 30823920›Full record

ArticlePopulation health metrics2019

Cause of death coding in Switzerland: evaluation based on a nationwide individual linkage of mortality and hospital in-patient records.

Ueli Zellweger, Christoph Junker, Matthias Bopp, Swiss National Cohort Study Group

Abstract read
In one paragraph

Article in Population health metrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Cause of death coding in asthma.BMC medical research methodology · 2024
    Article
  5. Article
  6. Flaws and uncertainties in pandemic global excess death calculations.European journal of clinical investigation · 2023
    Review
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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

4 authors.

Ueli ZellwegerEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, CH-8001, Zürich, Switzerland.
Christoph JunkerSwiss Federal Statistical Office, Espace de l'Europe 10, 2010, Neuchâtel, Switzerland.
Matthias BoppEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, CH-8001, Zürich, Switzerland. Matthias.Bopp@uzh.ch.ORCID 0000-0003-0766-3723
Swiss National Cohort Study Group

Funding

Swiss National Science Foundation 33CS30-148415, 406740-139331
6 · The paper itself

Abstract

backgroundCause of death statistics are an important tool for quality control of the health care system. Their reliability, however, is controversial. Comparing death certificates with their corresponding medical records is implemented only occasionally but may point to quality problems. We aimed at exploring the agreement between information in the cause of death statistics and hospital discharge diagnoses at death.

methodsSelection of disease categories was based on ICD-10 Tabulation List for Morbidity and ICD-10 Mortality Tabulation List 2. Index cases were defined as deaths having occurred among Swiss residents 2010-2012 in a hospital and successfully linked to the Swiss National Cohort. Rare, external and ill-defined causes were excluded from comparison, leaving 53,605 deaths from vital statistics and 47,311 deaths from hospital discharge statistics. For 95% of individuals, respective information from the 2000 census could be retrieved and used for multiple logistic regression.

resultsFor 83% of individuals the underlying cause of death could be traced among hospital diagnoses and for 77% the principal hospital diagnosis among the cause of death information. Mirroring different evaluation of complex situations by individual physicians, rates of agreement varied widely depending on disease/cause of death, but were generally in line with similar studies. Multiple logistic regression revealed however significant variation in reporting that could not entirely be explained by age or cause of death of the deceased suggesting differential exploitation of available diagnosis information.

conclusionSubstantial regional variation and lower agreement rates among socially disadvantaged groups like single, less educated, or culturally less integrated persons suggest potential for improving reporting of diagnoses and causes of death by physicians in Switzerland. Studies of this kind should be regularly conducted as a quality monitoring.

Indexed as

Cause of DeathHospital MortalityHospital RecordsMedical Record LinkageMortalityAdolescentAdultAgedAged, 80 and overChildChild, PreschoolClinical CodingData AccuracyDeath CertificatesFemaleHospitalsCause of deathDeath certificateHospital discharge diagnosisMedical record linkageQuality monitoringSwitzerlandValidity

Identifiers

PMID30823920
PMCPMC6397486

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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.