{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:27:58Z","timestamp":1792787278158,"version":"4.5.0"},"reference-count":14,"publisher":"BMJ","issue":"9","license":[{"start":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T00:00:00Z","timestamp":1790467200000},"content-version":"unspecified","delay-in-days":26,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"DATAMIND HDR UK Mental Health Data Hub","award":["MR\/W014386"],"award-info":[{"award-number":["MR\/W014386"]}]},{"name":"National Institute for Health and Care Research (NIHR) Biomedical Research Centre at South London","id":[{"id":"https:\/\/ror.org\/0187kwz08","id-type":"ROR","asserted-by":"crossref"}]},{"name":"UK Prevention Research Partnership (Violence, Health and Society","award":["MR-VO49879\/1"],"award-info":[{"award-number":["MR-VO49879\/1"]}]},{"name":"National Institute for Health and Care Research (NIHR) London Applied Research Collaboration","id":[{"id":"https:\/\/ror.org\/0187kwz08","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2026,9,3]]},"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Reporting diversity characteristics is required for more inclusive, equitable and policy-relevant research.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To evaluate the reporting of diversity characteristics in publications using a large mental healthcare electronic health record (EHR)-derived research data resource, and to compare reporting of these characteristics in publications with their availabilities in the underlying dataset.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Cross-sectional review of Clinical Record Interactive Search (CRIS)-derived publications and assessment of diversity characteristic availability within the underlying EHR-derived database.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>The South London and Maudsley (SLaM) National Health Service (NHS) Foundation Trust Biomedical Research Centre Case Register, accessed via the CRIS platform, representing secondary mental healthcare delivered to a geographic catchment area covering four boroughs in south London.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and analysis<\/jats:title>\n                    <jats:p>All CRIS-derived publications were reviewed to ascertain reporting of protected characteristics, as defined in the UK Equality Act 2010, alongside additional diversity-related characteristics. The availability of each characteristic within CRIS was assessed from records available up to 15 April 2026. Descriptive statistics were used to summarise reporting and data availability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 362 publications were evaluated. The mean number of diversity characteristics reported per publication was 4.0, and no publication reported more than 10 characteristics. Age (89.3%), sex (87.3%) and ethnicity (80.4%) were the most frequently reported characteristics. Socioeconomic status was reported in 42.5% of publications, while marriage and civil partnership (35.0%) and disability (27.0%) were reported in a smaller proportion of studies. All remaining characteristics were reported in less than 10% of publications.<\/jats:p>\n                    <jats:p>Data availability within CRIS was highest for sex (99.9%) and age (99.8%), followed by socioeconomic status, geographic location and homelessness (all 97.5%) and ethnicity (86.5%). However, several characteristics were reported far less frequently than they were available in the dataset, particularly geographic location (6.6% reported despite 97.5% availability) and homelessness (5.8% reported despite 97.5% availability).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Reporting of diversity characteristics in this case study for EHR-based mental health research was uneven and did not fully reflect availability in the source data. While age, sex and ethnicity are commonly reported, several other protected and diversity-related characteristics are rarely used by researchers despite their availability, and other characteristics remain challenging to capture. As routine EHR-derived datasets increasingly inform mental health research and policy, greater attention to recording, accessibility and reporting of diversity characteristics is required to support more inclusive and representative research.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2026-124809","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T17:01:04Z","timestamp":1790614864000},"page":"e124809","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of diversity characteristics in a large mental healthcare data platform and their use in research publications: a cross-sectional review"],"prefix":"10.1136","volume":"16","author":[{"given":"Alice","family":"Broadbent","sequence":"first","affiliation":[{"name":"Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hannah","family":"Woods","sequence":"additional","affiliation":[{"name":"South London and Maudsley NHS Foundation Trust, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew","family":"Broadbent","sequence":"additional","affiliation":[{"name":"South London and Maudsley NHS Foundation Trust, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Stewart","sequence":"additional","affiliation":[{"name":"Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK"},{"name":"South London and Maudsley NHS Foundation Trust, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5966-5723","authenticated-orcid":false,"given":"Mariana","family":"Pinto da Costa","sequence":"additional","affiliation":[{"name":"Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK"},{"name":"South London and Maudsley NHS Foundation Trust, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2026,9,28]]},"reference":[{"key":"2026092810003202000_16.9.e124809.1","doi-asserted-by":"crossref","DOI":"10.1186\/1471-2458-11-861","article-title":"Identifying socio-demographic and socioeconomic determinants of health inequalities in a diverse London community: the South East London Community Health (SELCoH) study","volume":"11","author":"Hatch","year":"2011","journal-title":"BMC Public Health"},{"key":"2026092810003202000_16.9.e124809.2","doi-asserted-by":"crossref","first-page":"S34","DOI":"10.2105\/AJPH.2018.304808","article-title":"The Importance of Evaluating Health Disparities Research","volume":"109","author":"Dye","year":"2019","journal-title":"Am J Public Health"},{"key":"2026092810003202000_16.9.e124809.3","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2023-078029","article-title":"Common practices for sociodemographic data reporting in digital mental health intervention research: a scoping review","volume":"14","author":"Kirvin-Quamme","year":"2024","journal-title":"BMJ Open"},{"key":"2026092810003202000_16.9.e124809.4","unstructured":"National Institute for Health and Care Research . Research inclusion strategy 2022-27. London: NIHR; 2022. Available: https:\/\/www.nihr.ac.uk\/about-us\/who-we-are\/research-inclusion\/strategy-2022-27"},{"key":"2026092810003202000_16.9.e124809.5","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.jclinepi.2022.03.011","article-title":"Underserved groups remain underserved as eligibility criteria routinely exclude them from breast cancer trials","volume":"147","author":"Moloney","year":"2022","journal-title":"J Clin Epidemiol"},{"key":"2026092810003202000_16.9.e124809.6","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2015-008721","article-title":"Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource","volume":"6","author":"Perera","year":"2016","journal-title":"BMJ Open"},{"key":"2026092810003202000_16.9.e124809.7","unstructured":"Maudsley Biomedical Research Centre . CRIS natural language processing applications library. London: NIHR Maudsley Biomedical Research Centre; 2026. 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