{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:55:37Z","timestamp":1777532137472,"version":"3.51.4"},"reference-count":54,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2023,3,15]],"date-time":"2023-03-15T00:00:00Z","timestamp":1678838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["NHLBI 1K01HL151902-01A1"],"award-info":[{"award-number":["NHLBI 1K01HL151902-01A1"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000968","name":"American Heart Association","doi-asserted-by":"publisher","award":["AHA 20CDA35320148"],"award-info":[{"award-number":["AHA 20CDA35320148"]}],"id":[{"id":"10.13039\/100000968","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000862","name":"Doris Duke Charitable Foundation","doi-asserted-by":"publisher","award":["2022061"],"award-info":[{"award-number":["2022061"]}],"id":[{"id":"10.13039\/100000862","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Boston University Chobanian and Avedisian School of Medicine Department of Medicine Career Investment"},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["R01HL092577"],"award-info":[{"award-number":["R01HL092577"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["R01HL141434"],"award-info":[{"award-number":["R01HL141434"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000968","name":"American Heart Association","doi-asserted-by":"publisher","award":["AHA_18SFRN34110082"],"award-info":[{"award-number":["AHA_18SFRN34110082"]}],"id":[{"id":"10.13039\/100000968","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To adapt and validate an algorithm to ascertain transgender and gender diverse (TGD) patients within electronic health record (EHR) data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Using a previously unvalidated algorithm of identifying TGD persons within administrative claims data in a multistep, hierarchical process, we validated this algorithm in an EHR data set with self-reported gender identity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Within an EHR data set of 52\u00a0746 adults with self-reported gender identity (gold standard) a previously unvalidated algorithm to identify TGD persons via TGD-related diagnosis and procedure codes, and gender-affirming hormone therapy prescription data had a sensitivity of 87.3% (95% confidence interval [CI] 86.4\u201388.2), specificity of 98.7% (95% CI 98.6\u201398.8), positive predictive value (PPV) of 88.7% (95% CI 87.9\u201389.4), and negative predictive value (NPV) of 98.5% (95% CI 98.4\u201398.6). The area under the curve (AUC) was 0.930 (95% CI 0.925\u20130.935). Steps to further categorize patients as presumably TGD men versus women based on prescription data performed well: sensitivity of 97.6%, specificity of 92.7%, PPV of 93.2%, and NPV of 97.4%. The AUC was 0.95 (95% CI 0.94\u20130.96).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In the absence of self-reported gender identity data, an algorithm to identify TGD patients in administrative data using TGD-related diagnosis and procedure codes, and gender-affirming hormone prescriptions performs well.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jamia\/ocad039","type":"journal-article","created":{"date-parts":[[2023,2,25]],"date-time":"2023-02-25T08:57:10Z","timestamp":1677315430000},"page":"1047-1055","source":"Crossref","is-referenced-by-count":25,"title":["Validation of an administrative algorithm for transgender and gender diverse persons against self-report data in electronic health records"],"prefix":"10.1093","volume":"30","author":[{"suffix":"Jr","given":"Carl G","family":"Streed","sequence":"first","affiliation":[{"name":"Section of General Internal Medicine, Boston University Chobanian and Avedisian School of Medicine , Boston, Massachusetts,","place":["USA"]},{"name":"Center for Transgender Medicine and Surgery, Boston Medical Center , Boston, Massachusetts,","place":["USA"]},{"name":"The Fenway Institute, Fenway Health , Boston, Massachusetts,","place":["USA"]}]},{"given":"Dana","family":"King","sequence":"additional","affiliation":[{"name":"The Fenway Institute, Fenway Health , Boston, Massachusetts,","place":["USA"]}]},{"given":"Chris","family":"Grasso","sequence":"additional","affiliation":[{"name":"The Fenway Institute, Fenway Health , Boston, Massachusetts,","place":["USA"]}]},{"given":"Sari L","family":"Reisner","sequence":"additional","affiliation":[{"name":"The Fenway Institute, Fenway Health , Boston, Massachusetts,","place":["USA"]},{"name":"Department of Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School , Boston, Massachusetts,","place":["USA"]},{"name":"Department of Epidemiology, Harvard T.H. Chan School of Public Health , Boston, Massachusetts,","place":["USA"]}]},{"given":"Kenneth H","family":"Mayer","sequence":"additional","affiliation":[{"name":"The Fenway Institute, Fenway Health , Boston, Massachusetts,","place":["USA"]},{"name":"Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School , Boston, Massachusetts,","place":["USA"]}]},{"given":"Guneet K","family":"Jasuja","sequence":"additional","affiliation":[{"name":"Section of General Internal Medicine, Boston University Chobanian and Avedisian School of Medicine , Boston, Massachusetts,","place":["USA"]},{"name":"Center for Healthcare Organization & Implementation Research, VA Bedford Healthcare System , Bedford, Massachusetts,","place":["USA"]},{"name":"Department of Health Law, Policy and Management, Boston University School of Public Health , Boston, Massachusetts,","place":["USA"]}]},{"given":"Tonia","family":"Poteat","sequence":"additional","affiliation":[{"name":"Department of Social 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