ArticleInternational journal of population data science2021
Visualisation and optimisation of alcohol-related hospital admissions ICD-10 codes in Welsh e-cohort data.
Article in International journal of population data science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 4 citations in OpenAlex.
- Alcohol-Related Hospitalizations Among Adolescents and Young Adults with Type 1 Diabetes in Spain, 2016-2023.Journal of clinical medicine · 2025Article
- Alcohol affordability: implications for alcohol price policies. A cross-sectional analysis in middle and older adults from UK Biobank.Journal of public health (Oxford, England) · 2022Article
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Authors and funding
8 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
introductionThe excessive consumption of alcohol is detrimental to long term health and increases the likelihood of hospital admission. However, definitions of alcohol-related hospital admission vary, giving rise to uncertainty in the effect of alcohol on alcohol-related health care utilization.
objectivesTo compare diagnostic codes on hospital admission and discharge and to determine the ideal combination of codes necessary for an accurate determination of alcohol-related hospital admission.
methodsRoutine population-linked e-cohort data were extracted from the Secure Anonymised Information Linkage (SAIL) Databank containing all alcohol-related hospital admissions (n,= 92,553) from 2006 to 2011 in Wales, United Kingdom. The distributions of the diagnostic codes recorded at admission and discharge were compared. By calculating a misclassification rate (sensitivity-like measure) the appropriate number of coding fields to examine for alcohol-codes was established.
resultsThere was agreement between admission and discharge codes. When more than ten coding fields were used the misclassification rate was less than 1%.
conclusionWith the data at present and alcohol-related codes used, codes recorded at admission and discharge can be used equivalently to identify alcohol-related admissions. The appropriate number of coding fields to examine was established: fewer than ten is likely to lead to under-reporting of alcohol-related admissions. The methods developed here can be applied to other medical conditions that can be described using a certain set of diagnostic codes, each of which can be a known sole cause of the condition and recorded in multiple positions in e-cohort data.
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