Effective factors on accuracy of principal diagnosis coding based on International Classification of Diseases, the 10th revision (ICD-10)

Mehrdad Farzandipour, Abbas Sheikhtaheri and F. Sadoughi

International Journal of Information Management, 2010, vol. 30, issue 1, 78-84

Abstract: Quality of diagnostic data depends on accurate coding. The purpose of this study was to assess the accuracy of principal diagnosis coding and its effective factors. To achieve this aim, three hundred and seventy medical records were randomly selected and recoded blindly (as gold standard). The effects of possible factors on accuracy of coding which was gathered through observation method were analyzed by Chi-square (χ2), Fisher exact test, odds ratio (OR), and confidence interval 95% for OR.

Keywords: Clinical coding; Diagnosis; Accuracy; Quality; ICD-10 (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0268401209000887
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:30:y:2010:i:1:p:78-84

DOI: 10.1016/j.ijinfomgt.2009.07.002

Access Statistics for this article

International Journal of Information Management is currently edited by Yogesh K. Dwivedi

More articles in International Journal of Information Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().