Literature DB >> 32558825

Improving Validity of Cause of Death on Death Certificates.

Ryan A Hoffman1, Janani Venugopalan1, Li Qu1, Hang Wu1, May D Wang1.   

Abstract

Accurate reporting of causes of death on death certificates is essential to formulate appropriate disease control, prevention and emergency response by national health-protection institutions such as Center for disease prevention and control (CDC). In this study, we utilize knowledge from publicly available expert-formulated rules for the cause of death to determine the extent of discordance in the death certificates in national mortality data with the expert knowledge base. We also report the most commonly occurring invalid causal pairs which physicians put in the death certificates. We use sequence rule mining to find patterns that are most frequent on death certificates and compare them with the rules from the expert knowledge based. Based on our results, 20.1% of the common patterns derived from entries into death certificates were discordant. The most probable causes of these discordance or invalid rules are missing steps and non-specific ICD-10 codes on the death certificates.

Entities:  

Year:  2018        PMID: 32558825      PMCID: PMC7302107          DOI: 10.1145/3233547.3233581

Source DB:  PubMed          Journal:  ACM BCB


  24 in total

1.  Comparing Swedish hospital discharge records with death certificates: implications for mortality statistics.

Authors:  L A Johansson; R Westerling
Journal:  Int J Epidemiol       Date:  2000-06       Impact factor: 7.196

2.  Analysis of the sensitivity of death certificates in 440 hospital deaths: a comparison with necropsy findings.

Authors:  J D Sington; B J Cottrell
Journal:  J Clin Pathol       Date:  2002-07       Impact factor: 3.411

Review 3.  Pregnancy-associated deaths in Finland 1987-1994--definition problems and benefits of record linkage.

Authors:  M Gissler; R Kauppila; J Meriläinen; H Toukomaa; E Hemminki
Journal:  Acta Obstet Gynecol Scand       Date:  1997-08       Impact factor: 3.636

4.  Evaluation of a methodology to validate National Death Index retrieval results among a cohort of U.S. service members.

Authors:  Nancy A Skopp; Derek J Smolenski; Daniel A Schwesinger; Christopher J Johnson; Melinda J Metzger-Abamukong; Mark A Reger
Journal:  Ann Epidemiol       Date:  2017-05-15       Impact factor: 3.797

Review 5.  Classification of causes and associated conditions for stillbirths and neonatal deaths.

Authors:  Vicki Flenady; Aleena M Wojcieszek; David Ellwood; Susannah Hopkins Leisher; Jan Jaap H M Erwich; Elizabeth S Draper; Elizabeth M McClure; Hanna E Reinebrant; Jeremy Oats; Lesley McCowan; Alison L Kent; Glenn Gardener; Adrienne Gordon; David Tudehope; Dimitrios Siassakos; Claire Storey; Jane Zuccollo; Jane E Dahlstrom; Katherine J Gold; Sanne Gordijn; Karin Pettersson; Vicki Masson; Robert Pattinson; Jason Gardosi; T Yee Khong; J Frederik Frøen; Robert M Silver
Journal:  Semin Fetal Neonatal Med       Date:  2017-03-09       Impact factor: 3.926

6.  A case study of the impact of inaccurate cause-of-death reporting on health disparity tracking: New York City premature cardiovascular mortality.

Authors:  Lauren E Johns; Ann M Madsen; Gil Maduro; Regina Zimmerman; Kevin Konty; Elizabeth Begier
Journal:  Am J Public Health       Date:  2012-09-20       Impact factor: 9.308

7.  Nosological coding of cause of death.

Authors:  J D Curb; C Babcock; S Pressel; B Tung; R D Remington; C M Hawkins
Journal:  Am J Epidemiol       Date:  1983-07       Impact factor: 4.897

8.  The international comparability of cancer mortality data. Results of an international death certificate study.

Authors:  C Percy; C Muir
Journal:  Am J Epidemiol       Date:  1989-05       Impact factor: 4.897

9.  Accuracy of death certificate completion: the need for formalized physician training.

Authors:  J Messite; S D Stellman
Journal:  JAMA       Date:  1996-03-13       Impact factor: 56.272

10.  Improving quality of cause-of-death reporting in New York City.

Authors:  Ann Madsen; Elizabeth Begier
Journal:  Prev Chronic Dis       Date:  2013-07-18       Impact factor: 2.830

View more
  4 in total

1.  Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics.

Authors:  Yuanda Zhu; Ying Sha; Hang Wu; Mai Li; Ryan A Hoffman; May D Wang
Journal:  IEEE J Biomed Health Inform       Date:  2022-04-14       Impact factor: 7.021

2.  An Automated Method of Causal Inference of the Underlying Cause of Death of Citizens.

Authors:  Xu Yang; Hongsheng Ma; Keyan Gao; Hui Ge
Journal:  Life (Basel)       Date:  2022-07-28

3.  Redistribution of garbage codes to underlying causes of death: a systematic analysis on Italy and a comparison with most populous Western European countries based on the Global Burden of Disease Study 2019.

Authors:  Lorenzo Monasta; Gianfranco Alicandro; Maja Pasovic; Matthew Cunningham; Benedetta Armocida; Christopher J L Murray; Luca Ronfani; Mohsen Naghavi
Journal:  Eur J Public Health       Date:  2022-06-01       Impact factor: 4.424

4.  An Automatic Approach Designed for Inference of the Underlying Cause-of-Death of Citizens.

Authors:  Hui Ge; Keyan Gao; Shaoqiong Li; Wei Wang; Qiang Chen; Xialv Lin; Ziyi Huan; Xuemei Su; Xu Yang
Journal:  Int J Environ Res Public Health       Date:  2021-03-02       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.