Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/36154
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dc.contributor.authorde Lusignan, S.-
dc.contributor.authorSadek, K.-
dc.contributor.authorMcDonald, H.-
dc.contributor.authorHorsfield, P.-
dc.contributor.authorSadek, N. H.-
dc.contributor.authorTahir, A.-
dc.contributor.authorDesombre, T.-
dc.contributor.authorKhunti, Kamlesh-
dc.date.accessioned2016-01-05T11:18:22Z-
dc.date.available2016-01-05T11:18:22Z-
dc.date.issued2012-
dc.identifier.citationInformatics in Primary Care (Now known as Journal of Innovation in Health Informatics), 2012, 20 (2), pp. 103-113en
dc.identifier.issn1476-0320-
dc.identifier.urihttp://hijournal.bcs.org/index.php/jhi/article/view/31en
dc.identifier.urihttp://hdl.handle.net/2381/36154-
dc.description.abstractBACKGROUND: The prevalence of diabetes is increasing with growing levels of obesity and an aging population. New practical guidelines for diabetes provide an applicable classification. Inconsistent coding of diabetes hampers the use of computerised disease registers for quality improvement, and limits the monitoring of disease trends. OBJECTIVE: To develop a consensus set of codes that should be used when recording diabetes diagnostic data. METHODS: The consensus approach was hierarchical, with a preference for diagnostic/disorder codes, to define each type of diabetes and non-diabetic hyperglycaemia, which were listed as being completely, partially or not readily mapped to available codes. The practical classification divides diabetes into type 1 (T1DM), type 2 (T2DM), genetic, other, unclassified and non-diabetic fasting hyperglycaemia. We mapped the classification to Read version 2, Clinical Terms version 3 and SNOMED CT. RESULTS: T1DM and T2DM were completely mapped to appropriate codes. However, in other areas only partial mapping is possible. Genetics is a fastmoving field and there were considerable gaps in the available labels for genetic conditions; what the classification calls 'other' the coding system labels 'secondary' diabetes. The biggest gap was the lack of a code for diabetes where the type of diabetes was uncertain. Notwithstanding these limitations we were able to develop a consensus list. CONCLUSIONS: It is a challenge to develop codes that readily map to contemporary clinical concepts. However, clinicians should adopt the standard recommended codes; and audit the quality of their existing records.en
dc.language.isoenen
dc.publisherBCS, The Chartered Institute for IT, Radcliffe Medical Pressen
dc.relation.urihttp://www.ncbi.nlm.nih.gov/pubmed/23710775-
dc.rightsCreative Commons Attribution Licenseen
dc.subjectClinical Codingen
dc.subjectDiabetes Mellitusen
dc.subjectEnglanden
dc.subjectHumansen
dc.subjectHyperglycemiaen
dc.subjectState Medicineen
dc.subjectSystematized Nomenclature of Medicineen
dc.titleCall for consistent coding in diabetes mellitus using the Royal College of General Practitioners and NHS pragmatic classification of diabetesen
dc.typeJournal Articleen
dc.identifier.doi10.14236/jhi.v20i2.31-
dc.identifier.eissn1475-9985-
dc.description.statusPeer-revieweden
dc.description.versionPublisher Versionen
dc.type.subtypeJournal Article-
pubs.organisational-group/Organisationen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGYen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicineen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Health Sciencesen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/Themesen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/Themes/Cardiovascularen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/Themes/Populationen
dc.dateaccepted2012-05-
Appears in Collections:Published Articles, Dept. of Health Sciences

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