Variation in clinical coding lists in UK general practice: a barrier to consistent data entry?

Background Routinely collected general practice computer data are used for quality improvement; poor data quality including inconsistent coding can reduce their usefulness. Objective To document the diversity of data entry systems currently in use in UK general practice and highlight possible implic...

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Main Authors: Tracy Waize, Sobanna Anandarajah, Neil Dhoul, Simon de Lusignan
Format: Article
Language:English
Published: BCS, The Chartered Institute for IT 2007-09-01
Series:Journal of Innovation in Health Informatics
Subjects:
Online Access:https://hijournal.bcs.org/index.php/jhi/article/view/652
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spelling doaj-e27f6986873e4c928f331f0626ec332e2020-11-24T21:02:55ZengBCS, The Chartered Institute for ITJournal of Innovation in Health Informatics2058-45552058-45632007-09-0115314315010.14236/jhi.v15i3.652594Variation in clinical coding lists in UK general practice: a barrier to consistent data entry?Tracy WaizeSobanna AnandarajahNeil DhoulSimon de LusignanBackground Routinely collected general practice computer data are used for quality improvement; poor data quality including inconsistent coding can reduce their usefulness. Objective To document the diversity of data entry systems currently in use in UK general practice and highlight possible implications for data quality. Method General practice volunteers provided screen shots of the clinical coding screen they would use to code a diagnosis or problem title in the clinical consultation. The six clinical conditions examined were: depression, cystitis, type 2 diabetes mellitus, sore throat, tired all the time, and myocardial infarction. We looked at the picking lists generated for these problem titles in EMIS, IPS, GPASS and iSOFT general practice clinical computer systems, using the Triset browser as a gold standard for comparison. Results A mean of 19.3 codes is offered in the picking list after entering a diagnosis or problem title. EMIS produced the longest picking lists and GPASS the shortest, with a mean number of choices of 35.2 and 12.7, respectively. Approximately three-quarters (73.5%) of codes are diagnoses, one-eighth (12.5%) symptom codes, and the remainder come from a range of Read chapters. There was no readily detectable consistent order in which codes were displayed. Velocity coding, whereby commonly-used codes are placed higher in the picking list, results in variation between practices even where they have the same brand of computer system. Conclusions Current systems for clinical coding promote diversity rather than consistency of clinical coding. As the UK moves towards an integrated health IT system consistency of coding will become more important. A standardised, limited list of codes for primary care might help address this need.https://hijournal.bcs.org/index.php/jhi/article/view/652family practicemedical informaticsmedical records systems - computeriseduser_computer interfacevocabulary - controlled
collection DOAJ
language English
format Article
sources DOAJ
author Tracy Waize
Sobanna Anandarajah
Neil Dhoul
Simon de Lusignan
spellingShingle Tracy Waize
Sobanna Anandarajah
Neil Dhoul
Simon de Lusignan
Variation in clinical coding lists in UK general practice: a barrier to consistent data entry?
Journal of Innovation in Health Informatics
family practice
medical informatics
medical records systems - computerised
user_computer interface
vocabulary - controlled
author_facet Tracy Waize
Sobanna Anandarajah
Neil Dhoul
Simon de Lusignan
author_sort Tracy Waize
title Variation in clinical coding lists in UK general practice: a barrier to consistent data entry?
title_short Variation in clinical coding lists in UK general practice: a barrier to consistent data entry?
title_full Variation in clinical coding lists in UK general practice: a barrier to consistent data entry?
title_fullStr Variation in clinical coding lists in UK general practice: a barrier to consistent data entry?
title_full_unstemmed Variation in clinical coding lists in UK general practice: a barrier to consistent data entry?
title_sort variation in clinical coding lists in uk general practice: a barrier to consistent data entry?
publisher BCS, The Chartered Institute for IT
series Journal of Innovation in Health Informatics
issn 2058-4555
2058-4563
publishDate 2007-09-01
description Background Routinely collected general practice computer data are used for quality improvement; poor data quality including inconsistent coding can reduce their usefulness. Objective To document the diversity of data entry systems currently in use in UK general practice and highlight possible implications for data quality. Method General practice volunteers provided screen shots of the clinical coding screen they would use to code a diagnosis or problem title in the clinical consultation. The six clinical conditions examined were: depression, cystitis, type 2 diabetes mellitus, sore throat, tired all the time, and myocardial infarction. We looked at the picking lists generated for these problem titles in EMIS, IPS, GPASS and iSOFT general practice clinical computer systems, using the Triset browser as a gold standard for comparison. Results A mean of 19.3 codes is offered in the picking list after entering a diagnosis or problem title. EMIS produced the longest picking lists and GPASS the shortest, with a mean number of choices of 35.2 and 12.7, respectively. Approximately three-quarters (73.5%) of codes are diagnoses, one-eighth (12.5%) symptom codes, and the remainder come from a range of Read chapters. There was no readily detectable consistent order in which codes were displayed. Velocity coding, whereby commonly-used codes are placed higher in the picking list, results in variation between practices even where they have the same brand of computer system. Conclusions Current systems for clinical coding promote diversity rather than consistency of clinical coding. As the UK moves towards an integrated health IT system consistency of coding will become more important. A standardised, limited list of codes for primary care might help address this need.
topic family practice
medical informatics
medical records systems - computerised
user_computer interface
vocabulary - controlled
url https://hijournal.bcs.org/index.php/jhi/article/view/652
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