Work

Direct and indirect approaches to addressing bias from missing data in primary care electronic health records: a rapid scoping review

Year: 2026

Type: preprint

Abstract: Biases in primary care electronic health records (EHRs), often introduced by missing data for underserved groups, may affect the validity of research findings and contribute to health inequalities. This rapid scoping review identified and synthesised evidence on methods used to identify, report and mitigate bias arising from missing data in primary care EHRs. Seventy-six studies were included. Most used machine learning techniques, medical statistics approaches, or additional data sources to address missingness, while relatively few explicitly reported patterns of missing data. The review highlights current approaches and identifies opportunities to improve reporting and mitigation of bias in routine primary care data

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22035881

Authors: Hounkpatin, Hilda, Dommett, Grace, Richards, Al, Stuart, Beth, Santer, Miriam, McBeth, John

Institutions: University of Southampton, Queen Mary University of London

Language: English

Topic: Medical Coding and Health Information

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: green

Funder: NIHR School for Primary Care Research

OpenAlex ID: W7203890121

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