Literature DB >> 9771235

A novel method for the assessment of the accuracy of diagnostic codes in general surgery.

N Gibson1, S A Bridgman.   

Abstract

The aim of this study was to describe the accuracy of diagnostic coding in general surgery in a district general hospital, the North Staffordshire Hospital NHS Trust (NSHT), Stoke-on-Trent. An assessment was carried out by comparison between codes ascribed by hospital coders and expert external coders. Patients who had a finished consultant episode (FCE) in the specialty of general surgery at NSHT were included in the study. The sampling frame was general surgery FCEs at NSHT purchased by North Staffordshire Health Authority (NSHA) with an episode end date between 1 May 1995 and 31 December 1995. Every 15th record was sampled. Of 455 records sampled, 157 (35%) were in active use and were excluded but not replaced; therefore, 298 (65%) records were studied in detail. Outcome was measured by the accuracy of primary diagnostic codes ranked 1, 2, 3, 4, from highest to lowest levels of inaccuracy; a description of where errors occurred in the data cycle was recorded. Errors were found in 87/298 (29%) records; 25/298 (8%) records had an error at the highest level (i.e. wrong ICD-10 chapter), and 44/298 (15%) at the third level. Of the errors, 68/87 (78%) occurred between the medical record and the admission form. A substantial percentage (29%) of records had inaccurate diagnostic codes. It is concluded that coding should be carried out from the medical record rather than from the admission form (KMR1). The proportion of records with errors suggests that a routine data coding audit would be useful to improve the accuracy of routine diagnostic codes.

Entities:  

Mesh:

Year:  1998        PMID: 9771235      PMCID: PMC2503100     

Source DB:  PubMed          Journal:  Ann R Coll Surg Engl        ISSN: 0035-8843            Impact factor:   1.891


  2 in total

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Authors:  A K Mukherjee; I Leck; F A Langley; C Ashcroft
Journal:  Public Health       Date:  1991-01       Impact factor: 2.427

2.  Quality of data in the Manchester orthopaedic database.

Authors:  J L Barrie; D R Marsh
Journal:  BMJ       Date:  1992-01-18
  2 in total
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2.  Disparities in health information quality across the rural-urban continuum: where is coded data more reliable?

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Journal:  J Med Syst       Date:  2008-02       Impact factor: 4.460

3.  Three- and four-digit ICD-10 is not a reliable classification system in primary care.

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4.  Determination of problematic ICD-9-CM subcategories for further study of coding performance: Delphi method.

Authors:  Xiaoming Zeng; Paul D Bell
Journal:  Perspect Health Inf Manag       Date:  2011-04-01

Review 5.  Systematic review of discharge coding accuracy.

Authors:  E M Burns; E Rigby; R Mamidanna; A Bottle; P Aylin; P Ziprin; O D Faiz
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6.  Incidence and costs of unintentional falls in older people in the United Kingdom.

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7.  Implementation of ICD-10 in Canada: how has it impacted coded hospital discharge data?

Authors:  Robin L Walker; Deirdre A Hennessy; Helen Johansen; Christie Sambell; Lisa Lix; Hude Quan
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8.  Improved accuracy of co-morbidity coding over time after the introduction of ICD-10 administrative data.

Authors:  Jean-Marie Januel; Jean-Christophe Luthi; Hude Quan; François Borst; Patrick Taffé; William A Ghali; Bernard Burnand
Journal:  BMC Health Serv Res       Date:  2011-08-18       Impact factor: 2.655

9.  Features and outcomes of unplanned hospital admissions of older people due to ill-defined (R-coded) conditions: retrospective analysis of hospital admissions data in England.

Authors:  Bronagh Walsh; Helen C Roberts; Peter G Nicholls
Journal:  BMC Geriatr       Date:  2011-10-18       Impact factor: 3.921

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

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

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