Identifying potential biases in code sequences in primary care electronic healthcare records: a retrospective cohort study of the determinants of code frequency.

ABSTRACT:

Objectives

To determine whether the frequency of diagnostic codes for long-term conditions (LTCs) in primary care electronic healthcare records (EHRs) is associated with (1) disease coding incentives, (2) General Practice (GP), (3) patient sociodemographic characteristics and (4) calendar year of diagnosis.

Design

Retrospective cohort study.

Setting

GPs in England from 2015 to 2022 contributing to the Clinical Practice Research Datalink Aurum dataset.

Participants

All patients registered to a GP with at least one incident LTC diagnosed between 1 January 2015 and 31 December 2019.

Primary and secondary outcome measures

The number of diagnostic codes for an LTC in (1) the first and (2) the second year following diagnosis, stratified by inclusion in the Qua

SUBMITTER: Beaney T 

PROVIDER: S-EPMC10537851 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature