Literature DB >> 20413407

Trends in frequency of reporting improper diabetes-related cause-of-death statements on death certificates, 1985-2005: An algorithm to identify incorrect causal sequences.

Tsung-Hsueh Lu1, Robert N Anderson, Ichiro Kawachi.   

Abstract

This study aimed to examine the changes in frequency of reporting improper diabetes-related cause-of-death statements on death certificates based on Multiple-Cause Mortality Files of the United States from 1985 to 2005. An algorithm was developed to identify the causes of death with incorrect causal sequences by using decision tables developed by the National Center for Health Statistics. In 1985, 2 or more diagnoses per line were reported on 35% of death certificates with mention of diabetes in Part I of the death certificate. This percentage decreased to 19% in 2005. In contrast, the prevalence of reporting incorrect causal sequences on death certificates on which diabetes was reported in Part I increased from 22% in 1985 to 35% in 2005. The authors suggest that the most plausible explanation of increasing reporting of incorrect causal sequences was the drastic increase of reporting multiple conditions (especially cardiovascular diseases and cancers) among deaths with mention of diabetes, which made the determination of underlying cause of death much more difficult.

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Mesh:

Year:  2010        PMID: 20413407     DOI: 10.1093/aje/kwq057

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  13 in total

1.  Mortality risk in long-standing type 1 diabetes: hope and concern.

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Journal:  Diabetes       Date:  2010-12       Impact factor: 9.461

2.  Modeling causes of death: an integrated approach using CODEm.

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Journal:  Popul Health Metr       Date:  2012-01-06

3.  Temporal trends in recording of diabetes on death certificates: results from Translating Research Into Action for Diabetes (TRIAD).

Authors:  Laura N McEwen; Andrew J Karter; J David Curb; David G Marrero; Jesse C Crosson; William H Herman
Journal:  Diabetes Care       Date:  2011-07       Impact factor: 19.112

4.  State differences in the reporting of diabetes-related incorrect cause-of-death causal sequences on death certificates.

Authors:  Tain-Junn Cheng; Tsung-Hsueh Lu; Ichiro Kawachi
Journal:  Diabetes Care       Date:  2012-04-12       Impact factor: 19.112

5.  Multiple causes of death analysis of chronic diseases: the example of diabetes.

Authors:  Ugo Fedeli; Giacomo Zoppini; Carlo Alberto Goldoni; Francesco Avossa; Giuseppe Mastrangelo; Mario Saugo
Journal:  Popul Health Metr       Date:  2015-08-25

6.  High Israeli mortality rates from diabetes and renal failure - Can international comparison of multiple causes of death reflect differences in choice of underlying cause?

Authors:  Nehama Goldberger; Yael Applbaum; Jill Meron; Ziona Haklai
Journal:  Isr J Health Policy Res       Date:  2015-10-01

7.  Growing burden of sepsis-related mortality in northeastern Italy: a multiple causes of death analysis.

Authors:  Ugo Fedeli; Pasquale Piccinni; Elena Schievano; Mario Saugo; Giampietro Pellizzer
Journal:  BMC Infect Dis       Date:  2016-07-13       Impact factor: 3.090

8.  Lung and kidney: a dangerous liaison? A population-based cohort study in COPD patients in Italy.

Authors:  Ugo Fedeli; Alfredo De Giorgi; Nicola Gennaro; Eliana Ferroni; Massimo Gallerani; Dimitri P Mikhailidis; Roberto Manfredini; Fabio Fabbian
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2017-01-27

9.  Improper cause-of-death statements by specialty of certifying physician: a cross-sectional study in two medical centres in Taiwan.

Authors:  Tain-Junn Cheng; Fang-Chuan Lee; Shio-Jean Lin; Tsung-Hsueh Lu
Journal:  BMJ Open       Date:  2012-07-31       Impact factor: 2.692

10.  Accuracy of Death Certificates and Assessment of Factors for Misclassification of Underlying Cause of Death.

Authors:  Makiko Naka Mieno; Noriko Tanaka; Tomio Arai; Takuya Kawahara; Aya Kuchiba; Shizukiyo Ishikawa; Motoji Sawabe
Journal:  J Epidemiol       Date:  2015-12-05       Impact factor: 3.211

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