This paper is in the following e-collection/theme issue:

Viewpoints (45) Methods and Instruments in Medical Informatics (189) LGBTQ Issues (543) mHealth for Data Collection and Research (1196) Health Services Research (557) Health Care Quality and Health Services Research (337) Theoretical Frameworks and Concepts (338)

Published on in Vol 13 (2024)

This is a member publication of University of Cambridge (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53311, first published .
Using Routine Data to Improve Lesbian, Gay, Bisexual, and Transgender Health

Using Routine Data to Improve Lesbian, Gay, Bisexual, and Transgender Health

Using Routine Data to Improve Lesbian, Gay, Bisexual, and Transgender Health

Authors of this article:

Catherine L Saunders1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Heslin M, Chaturvedi J, Bonnici Mallia A, Taaca A, Pontes D, Saraswat C, Woodhead C, Rimes K, Chandran D, Sanyal J, Ma R, Stewart R, Roberts A. Development of a natural language-processing application for LGBTQ+ status in mental health records. BJPsych Open 2025;11(6) View