TY - JOUR
T1 - Assessing the quality of cause of death data in six high-income countries
T2 - Australia, Canada, Denmark, Germany, Japan and Switzerland
AU - Mikkelsen, Lene
AU - Iburg, Kim Moesgaard
AU - Adair, Tim
AU - Fürst, Thomas
AU - Hegnauer, Michael
AU - von der Lippe, Elena
AU - Moran, Lauren
AU - Nomura, Shuhei
AU - Sakamoto, Haruka
AU - Shibuya, Kenji
AU - Wengler, Annelene
AU - Willbond, Stephanie
AU - Wood, Patricia
AU - Lopez, Alan D.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
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.
KW - Assessment of data
KW - Causes of death
KW - Data quality
KW - Garbage codes
KW - Medical certification
UR - http://www.scopus.com/inward/record.url?scp=85078062137&partnerID=8YFLogxK
U2 - 10.1007/s00038-019-01325-x
DO - 10.1007/s00038-019-01325-x
M3 - 記事
C2 - 31932856
AN - SCOPUS:85078062137
SN - 1661-8556
VL - 65
SP - 17
EP - 28
JO - International Journal of Public Health
JF - International Journal of Public Health
IS - 1
ER -