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Development of an algorithm to classify Primary Care Electronic Health Records of alcohol consumption : experience using data-linkage from UK-Biobank and Primary Care electronic health data sources
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dc.contributor.author | Fraile Navarro, David | |
dc.contributor.author | Azcoaga-Lorenzo, Amaya | |
dc.contributor.author | Agrawal, Utkarsh | |
dc.contributor.author | Jani, Bhautesh | |
dc.contributor.author | Fagbamigbe, Adeniyi | |
dc.contributor.author | Currie, Dorothy Bruce | |
dc.contributor.author | Baldacchino, Alexander Mario | |
dc.contributor.author | Sullivan, Francis | |
dc.date.accessioned | 2022-02-02T15:30:07Z | |
dc.date.available | 2022-02-02T15:30:07Z | |
dc.date.issued | 2022-02 | |
dc.identifier | 277419427 | |
dc.identifier | a6280e12-1a53-49f1-85be-04c920e81a19 | |
dc.identifier | 85123973672 | |
dc.identifier | 35105585 | |
dc.identifier | 000754603900012 | |
dc.identifier.citation | Fraile Navarro , D , Azcoaga-Lorenzo , A , Agrawal , U , Jani , B , Fagbamigbe , A , Currie , D B , Baldacchino , A M & Sullivan , F 2022 , ' Development of an algorithm to classify Primary Care Electronic Health Records of alcohol consumption : experience using data-linkage from UK-Biobank and Primary Care electronic health data sources ' , BMJ Open , vol. 12 , no. 2 , e054376 . https://doi.org/10.1136/bmjopen-2021-054376 | en |
dc.identifier.issn | 2044-6055 | |
dc.identifier.other | ORCID: /0000-0002-5388-7376/work/107718146 | |
dc.identifier.other | ORCID: /0000-0001-7321-9394/work/107718183 | |
dc.identifier.other | ORCID: /0000-0003-3307-878X/work/107718355 | |
dc.identifier.other | ORCID: /0000-0002-1108-7071/work/107718374 | |
dc.identifier.other | ORCID: /0000-0002-6623-4964/work/107718299 | |
dc.identifier.uri | https://hdl.handle.net/10023/24798 | |
dc.description | Funding: AA-L received funding from an HDRUK Fellowship for some of her research time. This project was funded by a research bursary from NHS Fife R&D department. Award date 10 April 2019. | en |
dc.description.abstract | Objectives Develop a novel algorithm to categorise alcohol consumption using primary care electronic health records (EHRs) and assess its reliability by comparing this classification with self-reported alcohol consumption data obtained from the UK Biobank (UKB) cohort. Design Cross-sectional study. Setting The UKB, a population-based cohort with participants aged between 40 and 69 years recruited across the UK between 2006 and 2010. Participants UKB participants from Scotland with linked primary care data. Primary and secondary outcome measures Create a rule-based multiclass algorithm to classify alcohol consumption reported by Scottish UKB participants and compare it with their classification using data present in primary care EHRs based on Read Codes. We evaluated agreement metrics (simple agreement and kappa statistic). Results Among the Scottish UKB participants, 18 838 (69%) had at least one Read Code related to alcohol consumption and were used in the classification. The agreement of alcohol consumption categories between UKB and primary care data, including assessments within 5 years was 59.6%, and kappa was 0.23 (95% CI 0.21 to 0.24). Differences in classification between the two sources were statistically significant (p<0.001); More individuals were classified as ‘sensible drinkers’ and in lower alcohol consumption levels in primary care records compared with the UKB. Agreement improved slightly when using only numerical values (k=0.29; 95% CI 0.27 to 0.31) and decreased when using qualitative descriptors only (k=0.18;95% CI 0.16 to 0.20). Conclusion Our algorithm classifies alcohol consumption recorded in Primary Care EHRs into discrete meaningful categories. These results suggest that alcohol consumption may be underestimated in primary care EHRs. Using numerical values (alcohol units) may improve classification when compared with qualitative descriptors. | |
dc.format.extent | 11 | |
dc.format.extent | 1681292 | |
dc.language.iso | eng | |
dc.relation.ispartof | BMJ Open | en |
dc.subject | Health informatics | en |
dc.subject | Primary care | en |
dc.subject | Public health | en |
dc.subject | RA0421 Public health. Hygiene. Preventive Medicine | en |
dc.subject | ZA4450 Databases | en |
dc.subject | Medicine(all) | en |
dc.subject | NDAS | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject.lcc | RA0421 | en |
dc.subject.lcc | ZA4450 | en |
dc.title | Development of an algorithm to classify Primary Care Electronic Health Records of alcohol consumption : experience using data-linkage from UK-Biobank and Primary Care electronic health data sources | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. Population and Behavioural Science Division | en |
dc.contributor.institution | University of St Andrews. School of Medicine | en |
dc.contributor.institution | University of St Andrews. Centre for Minorities Research (CMR) | en |
dc.contributor.institution | University of St Andrews. Sir James Mackenzie Institute for Early Diagnosis | en |
dc.identifier.doi | 10.1136/bmjopen-2021-054376 | |
dc.description.status | Peer reviewed | en |
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