Literature DB >> 24948664

Impact of documentation errors on accuracy of cause of death coding in an educational hospital in Southern Iran.

Mohammad Hosein Hayavi Haghighi1, Mohammad Dehghani2, Saeid Hoseini Teshnizi1, Hamid Mahmoodi1.   

Abstract

Accurate cause of death coding leads to organised and usable death information but there are some factors that influence documentation on death certificates and therefore affect the coding. We reviewed the role of documentation errors on the accuracy of death coding at Shahid Mohammadi Hospital (SMH), Bandar Abbas, Iran. We studied the death certificates of all deceased patients in SMH from October 2010 to March 2011. Researchers determined and coded the underlying cause of death on the death certificates according to the guidelines issued by the World Health Organization in Volume 2 of the International Statistical Classification of Diseases and Health Related Problems-10th revision (ICD-10). Necessary ICD coding rules (such as the General Principle, Rules 1-3, the modification rules and other instructions about death coding) were applied to select the underlying cause of death on each certificate. Demographic details and documentation errors were then extracted. Data were analysed with descriptive statistics and chi square tests. The accuracy rate of causes of death coding was 51.7%, demonstrating a statistically significant relationship (p=.001) with major errors but not such a relationship with minor errors. Factors that result in poor quality of Cause of Death coding in SMH are lack of coder training, documentation errors and the undesirable structure of death certificates.

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Year:  2014        PMID: 24948664

Source DB:  PubMed          Journal:  Health Inf Manag        ISSN: 1833-3583            Impact factor:   3.185


  5 in total

1.  Problems and Barriers during the Process of Clinical Coding: a Focus Group Study of Coders' Perceptions.

Authors:  Vera Alonso; João Vasco Santos; Marta Pinto; Joana Ferreira; Isabel Lema; Fernando Lopes; Alberto Freitas
Journal:  J Med Syst       Date:  2020-02-08       Impact factor: 4.460

2.  Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries.

Authors:  Claudia Allemani; Tomohiro Matsuda; Veronica Di Carlo; Rhea Harewood; Melissa Matz; Maja Nikšić; Audrey Bonaventure; Mikhail Valkov; Christopher J Johnson; Jacques Estève; Olufemi J Ogunbiyi; Gulnar Azevedo E Silva; Wan-Qing Chen; Sultan Eser; Gerda Engholm; Charles A Stiller; Alain Monnereau; Ryan R Woods; Otto Visser; Gek Hsiang Lim; Joanne Aitken; Hannah K Weir; Michel P Coleman
Journal:  Lancet       Date:  2018-01-31       Impact factor: 79.321

3.  Estimation of burden of ischemic heart diseases in Isfahan, Iran, 2014: using incompleteness and misclassification adjustment models.

Authors:  Mehran Shams-Beyranvand; Farshad Farzadfar; Shohreh Naderimagham; Maryam Tirani; Mohammad Reza Maracy
Journal:  J Diabetes Metab Disord       Date:  2017-03-15

4.  Quality of death certificates completion for COVID-19 cases in the southeast of Iran: A cross-sectional study.

Authors:  Jahanpour Alipour; Afsaneh Karimi; Ghasem Miri-Aliabad; Farzaneh Baloochzahei-Shahbakhsh; Abolfazl Payandeh; Roxana Sharifian
Journal:  Health Sci Rep       Date:  2022-09-06

5.  A Three-Phase Decision Model of Computer-Aided Coding for the Iranian Classification of Health Interventions (IRCHI).

Authors:  Zahra Azadmanjir; Reza Safdari; Marjan Ghazisaeedi; Mehrshad Mokhtaran; Mohammad Esmail Kameli
Journal:  Acta Inform Med       Date:  2017-06
  5 in total

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