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001-es BibID:	BIBFORM112203
035-os BibID:	(WOS)000894823500025 (cikkazonosító)1373 (Scopus)85104890786
Első szerző:	Trefán László (biostatisztikus, bioinformatikus)
Cím:	Visualisation and optimisation of alcohol-related hospital admissions ICD-10 codes in Welsh e-cohort data / Laszlo Trefan, Ashley Akbari, Jennifer Siân Morgan, Daniel Mark Farewell, David Fone, Ronan A. Lyons, Hywel Merfyn Jones, Simon Moore
Dátum:	2021
ISSN:	2399-4908
Megjegyzések:	Introduction The 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. Objectives To 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. Methods Routine 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. Results There was agreement between admission and discharge codes. When more than ten coding fields were used the misclassification rate was less than 1%. Conclusion With 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.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	International Journal of Population Data Science. - 6 : 1 (2021), p. 1-12. -
További szerzők:	Akbari, Ashley Morgan, Jennifer Farewell, Daniel Fone, David Lyons, Ronan Anthony Jones, Hywel Merfyn Moore, Simon
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM112202
035-os BibID:	(cikkazonosító)581 (Scopus)85076323499
Első szerző:	Trefán László (biostatisztikus, bioinformatikus)
Cím:	Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales - protocol for platform development / Trefan, L., Akbari, A., Paranjothy, S., Farewell, D. M., Gartner, A., Fone, D., Greene, G. J., Evans, A., Smith, A., Adekanmbi, V., Kennedy, J., Lyons, R. A., Moore, S.
Dátum:	2019
ISSN:	2399-4908
Megjegyzések:	Introduction Excessive alcohol consumption has adverse effects on health and there is a recognised need for the longitudinal analysis of population data to improve our understanding of the patterns of alcohol use, harms to consumers and those in their immediate environment. The UK has a number of linkable, longitudinal databases that if assembled properly could support valuable research on this topic. Aims and Objectives This paper describes the development of a broad set of cross-linked cohorts, e-cohorts, surveys and linked electronic healthcare records (EHRs) to construct an alcohol-specific analytical platform in the United Kingdom using datasets on the population of Wales. The objective of this paper is to provide a description of existing key datasets integrated with existing, routinely collected electronic health data on a secure platform, and relevant derived variables to enable population-based research on alcohol-related harm in Wales. We illustrate our use of these data with some exemplar research questions that are currently under investigation. Methods Record-linkage of routine and observational datasets. Routine data includes hospital admissions, general practice, and cohorts specific to children. Two observational studies were included. Routine socioeconomic descriptors and mortality data were also linked. Conclusion We described a record-linked, population-based research protocol for alcohol related harm on a secure platform. As the datasets used here are available in many countries, ELAStiC provides a template for setting up similar initiatives in other countries. We have also defined a number of alcohol specific variables using routinely-collected available data that can be used in other epidemiological studies into alcohol related outcomes. With over 10 years of longitudinal data, it will help to understand alcohol-related disease and health trajectories across the lifespan.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	International Journal of Population Data Science. - 4 : 1 (2019), p. 1-14. -
További szerzők:	Akbari, Ashley Paranjothy, Shantini Farewell, Daniel Gartner, Andrea Fone, David Greene, Giles Jeremy Evans, Anette Smith, Ann Adekanmbi, Victor Kennedy, Jonathan Lyons, Ronan Anthony Moore, Simon
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: