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.

ABSTRACT:

Objectives

Develop a novel algorithm to categorise alcohol consumption using primary care electronic health records (EHRs) and asses 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. W

SUBMITTER: Fraile-Navarro D 

PROVIDER: S-EPMC8808438 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature