Literature DB >> 8820217

The quality of diagnostic coding in cerebrovascular disease.

M Hasan1, R J Meara, B K Bhowmick.   

Abstract

We investigated the quality of diagnostic coding in relation to cerebrovascular disease (CVD) in a computerized clinical information system by comparing the codes on the computer printout, obtained from casemix database on 166 patients with a diagnosis of cerebrovascular disease, with the codes allocated by the investigators after examining the case notes. Overall, the diagnostic coding was incorrect in 44 (26%) cases. These inaccuracies included 9 (5%) patients who did not have CVD and 35 (21%) patients who were incorrectly coded as "acute but ill-defined stroke". The inadequacy of information in discharge letters was the main reason for such discrepancies (21 cases). There is a need for adequate education and training of doctors and coding clerks and for a constant dialogue between them if the deficiencies in coding are to be rectified and the value of hospital information system in the audit, costing and health care planning is to be improved.

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Year:  1995        PMID: 8820217     DOI: 10.1093/intqhc/7.4.407

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  8 in total

1.  Coding Geriatric syndromes: How good are we?

Authors:  Ike Ugboma; Holly E Syddall; Vanessa Cox; Cyrus Cooper; Roger Briggs; Avan Aihie Sayer
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2.  Evaluation of factors influencing accuracy of principal procedure coding based on ICD-9-CM: an Iranian study.

Authors:  Mehrdad Farzandipour; Abbas Sheikhtaheri
Journal:  Perspect Health Inf Manag       Date:  2009-05-07

Review 3.  Systematic review of discharge coding accuracy.

Authors:  E M Burns; E Rigby; R Mamidanna; A Bottle; P Aylin; P Ziprin; O D Faiz
Journal:  J Public Health (Oxf)       Date:  2011-07-27       Impact factor: 2.341

4.  Validity of Diagnostic Codes for Acute Stroke in Administrative Databases: A Systematic Review.

Authors:  Natalie McCormick; Vidula Bhole; Diane Lacaille; J Antonio Avina-Zubieta
Journal:  PLoS One       Date:  2015-08-20       Impact factor: 3.240

5.  Registration of acute stroke: validity in the Danish Stroke Registry and the Danish National Registry of Patients.

Authors:  Cathrine Wildenschild; Frank Mehnert; Reimar Wernich Thomsen; Helle Klingenberg Iversen; Karsten Vestergaard; Annette Ingeman; Søren Paaske Johnsen
Journal:  Clin Epidemiol       Date:  2013-12-23       Impact factor: 4.790

Review 6.  Biases in detection of apparent "weekend effect" on outcome with administrative coding data: population based study of stroke.

Authors:  Linxin Li; Peter M Rothwell
Journal:  BMJ       Date:  2016-05-16

7.  A Karnaugh map based approach towards systemic reviews and meta-analysis.

Authors:  Abdul Wahab Hassan; Ahmad Kamal Hassan
Journal:  Springerplus       Date:  2016-03-25

Review 8.  Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group.

Authors:  Rebecca Woodfield; Ian Grant; Cathie L M Sudlow
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

  8 in total

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