Assessing the quality of cause of death data in six high-income countries: Australia, Canada, Denmark, Germany, Japan and Switzerland.
Objectives: To assess the policy utility of national cause of death (COD) data of six high-income countries with highly developed health information systems.Methods: National COD data sets from Australia, Canada, Denmark, Germany, Japan and Switzerland for 2015 or 2016 were assessed by applying the...
| Publicado en: | International Journal of Public Health (Springer Nature) Vol. 65; no. 1; pp. 17 - 29 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jan2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141680356&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141680356 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16618556 46AY jtl: International Journal of Public Health (Springer Nature) issn: 16618556 maglogo: N pubinfo: dt: Jan2020 vid: 65 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 141680356 141680356 NLM31932856 141680356 10.1007/s00038-019-01325-x NLM31932856 141680356 ppf: 17 ppct: 12 formats: tig: atl: Assessing the quality of cause of death data in six high-income countries: Australia, Canada, Denmark, Germany, Japan and Switzerland. aug: au: Mikkelsen, Lene Iburg, Kim Moesgaard Adair, Tim Fürst, Thomas Hegnauer, Michael von der Lippe, Elena Moran, Lauren Nomura, Shuhei Sakamoto, Haruka Shibuya, Kenji Wengler, Annelene Willbond, Stephanie Wood, Patricia Lopez, Alan D. affil: Bloomberg Data for Health Initiative, University of Melbourne, Melbourne, Australia sug: subj: Data Collection Cause of Death Developed Countries Mortality Germany Aged, 80 and Over Male Denmark Canada Aged Japan Switzerland Human Adult Australia Middle Age Female Validation Studies Comparative Studies Evaluation Research Multicenter Studies Ferrans and Powers Quality of Life Index Aged, 80 & over Aged: 65+ years Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Objectives: To assess the policy utility of national cause of death (COD) data of six high-income countries with highly developed health information systems.Methods: National COD data sets from Australia, Canada, Denmark, Germany, Japan and Switzerland for 2015 or 2016 were assessed by applying the ANACONDA software tool. Levels, patterns and distributions of unusable and insufficiently specified "garbage" codes were analysed.Results: The average proportion of unusable COD was 18% across the six countries, ranging from 14% in Australia and Canada to 25% in Japan. Insufficiently specified codes accounted for a further 8% of deaths, on average, varying from 6% in Switzerland to 11% in Japan. The most commonly used garbage codes were Other ill-defined and unspecified deaths (R99), Heart failure (I50.9) and Senility (R54).Conclusions: COD certification errors are common, even in countries with very advanced health information systems, greatly reducing the policy value of mortality data. All countries should routinely provide certification training for hospital interns and raise awareness among doctors of their public health responsibility to certify deaths correctly and usefully for public health policy. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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