Call for consistent coding in diabetes mellitus using the Royal College of General Practitioners and NHS pragmatic classification of diabetes
| Autor: | Pete Horsfield, Norah Hassan Sadek, Kamlesh Khunti, Simon de Lusignan, Helen Mcdonald, Khaled Sadek, Aumran Tahir, Terry Desombre |
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| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Pathology
medicine.medical_specialty medical records systems computerised Quality management Health Informatics Audit Disease lcsh:Computer applications to medicine. Medical informatics Health informatics State Medicine Systematized Nomenclature of Medicine Health Information Management medicine Humans data quality medical informatics SNOMED CT business.industry Clinical Coding Computer Science Applications vocabulary controlled England Hyperglycemia Family medicine Data quality diabetes mellitus records as topic lcsh:R858-859.7 Diagnosis code business |
| Zdroj: | Journal of Innovation in Health Informatics, Vol 20, Iss 2, Pp 103-113 (2013) Scopus-Elsevier |
| ISSN: | 2058-4563 2058-4555 1476-0320 |
| Popis: | Background 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 T1DMand T2DM were completely mapped to appropriate codes. However, in other areas only partial mapping is possible. Genetics is a fast-moving 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. |
| Databáze: | OpenAIRE |
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