{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T03:48:11Z","timestamp":1790826491284,"version":"4.1.0"},"reference-count":22,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"9","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2024,5,7]]},"abstract":"<jats:sec sec-type=\"background\" xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">The digital transformation of medical data enables health systems to leverage real\u2010world data from electronic health records to gain actionable insights for improving hypertension care.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">We performed a serial cross\u2010sectional analysis of outpatients of a large regional health system from 2010 to 2021. Hypertension was defined by systolic blood pressure \u2265140\u2009mm Hg, diastolic blood pressure \u226590\u2009mm Hg, or recorded treatment with antihypertension medications. We evaluated 4 methods of using blood pressure measurements in the electronic health record to define hypertension. The primary outcomes were age\u2010adjusted prevalence rates and age\u2010adjusted control rates. Hypertension prevalence varied depending on the definition used, ranging from 36.5% to 50.9% initially and increasing over time by \u22485%, regardless of the definition used. Control rates ranged from 61.2% to 71.3% initially, increased during 2018 to 2019, and decreased during 2020 to 2021. The proportion of patients with a hypertension diagnosis ranged from 45.5% to 60.2% initially and improved during the study period. Non\u2010Hispanic Black patients represented 25% of our regional population and consistently had higher prevalence rates, higher mean systolic and diastolic blood pressure, and lower control rates compared with other racial and ethnic groups.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">In a large regional health system, we leveraged the electronic health record to provide real\u2010world insights. The findings largely reflected national trends but showed distinctive regional demographics and findings, with prevalence increasing, one\u2010quarter of the patients not controlled, and marked disparities. This approach could be emulated by regional health systems seeking to improve hypertension care.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.123.033253","type":"journal-article","created":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T11:33:02Z","timestamp":1714476782000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":11,"title":["Hypertension Trends and Disparities Over 12\u2009Years in a Large Health System: Leveraging the Electronic Health Records"],"prefix":"10.1161","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8192-494X","authenticated-orcid":false,"suffix":"Jr","given":"John E.","family":"Brush","sequence":"first","affiliation":[{"name":"Sentara Health Norfolk VA"},{"name":"Eastern Virginia Medical School Norfolk VA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5264-2169","authenticated-orcid":false,"given":"Yuan","family":"Lu","sequence":"additional","affiliation":[{"name":"Center for Outcomes Research and Evaluation Yale\u2013New Haven Hospital New Haven CT"},{"name":"Section of Cardiovascular Medicine, Department of Internal Medicine Yale School of Medicine New Haven CT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6571-6112","authenticated-orcid":false,"given":"Yuntian","family":"Liu","sequence":"additional","affiliation":[{"name":"Center for Outcomes Research and Evaluation Yale\u2013New Haven Hospital New Haven CT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4664-3847","authenticated-orcid":false,"given":"Jordan R.","family":"Asher","sequence":"additional","affiliation":[{"name":"Sentara Health Norfolk VA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1261-079X","authenticated-orcid":false,"given":"Shu\u2010Xia","family":"Li","sequence":"additional","affiliation":[{"name":"Center for Outcomes Research and Evaluation Yale\u2013New Haven Hospital New Haven CT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2789-1758","authenticated-orcid":false,"given":"Mitsuaki","family":"Sawano","sequence":"additional","affiliation":[{"name":"Center for Outcomes Research and Evaluation Yale\u2013New Haven Hospital New Haven CT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Young","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine Yale School of Medicine New Haven CT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2048-4028","authenticated-orcid":false,"given":"Wade L.","family":"Schulz","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine Yale School of Medicine New Haven CT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark","family":"Anderson","sequence":"additional","affiliation":[{"name":"Sentara Health Norfolk VA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John S.","family":"Burrows","sequence":"additional","affiliation":[{"name":"Sentara Health Norfolk VA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2046-127X","authenticated-orcid":false,"given":"Harlan M.","family":"Krumholz","sequence":"additional","affiliation":[{"name":"Center for Outcomes Research and Evaluation Yale\u2013New Haven Hospital New Haven CT"},{"name":"Department of Health Policy and Management Yale School of Public Health New Haven CT"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000001052"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.14545"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamacardio.2019.3773"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.121.057056"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamacardio.2017.1421"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1161\/HYP.0000000000000003"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2013.108769"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.119.015033"},{"key":"e_1_3_1_10_2","first-page":"574","article-title":"Observational health data sciences and informatics (OHDSI): opportunities for observational researchers","volume":"216","author":"Hripcsak G","year":"2015","unstructured":"Hripcsak G, Duke JD, Shah NH, Reich CG, Huser V, Schuemie MJ, Suchard MA, Park RW, Wong IC, Rijnbeek PR, et\u00a0al. 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