{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:52:22Z","timestamp":1753887142774,"version":"3.41.2"},"reference-count":72,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"24","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2023,12,19]]},"abstract":"<jats:sec sec-type=\"background\" xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">This real\u2010world evaluation considers an algorithm designed to detect patients with potentially undiagnosed hypertension, receiving routine care, in a large health system in Hawai\u02bbi. It quantifies patients identified as potentially undiagnosed with hypertension; summarizes the individual, clinical, and health system factors associated with undiagnosed hypertension; and examines if the COVID\u201019 pandemic affected detection.<\/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 analyzed the electronic health records of patients treated across 6 clinics from 2018 to 2021. We calculated total patients with potentially undiagnosed hypertension and compared patients flagged for undiagnosed hypertension to those with diagnosed hypertension and to the full patient panel across individual characteristics, clinical and health system factors (eg, clinic of care), and timing. Modified Poisson regression was used to calculate crude and adjusted risk ratios. Among the eligible patients (N=13\u2009364), 52.6% had been diagnosed with hypertension, 2.7% were flagged as potentially undiagnosed, and 44.6% had no evidence of hypertension. Factors associated with a higher risk of potentially undiagnosed hypertension included individual characteristics (ages 40\u201384 compared with 18\u201339\u2009years), clinical (lack of diabetes diagnosis) and health system factors (clinic site and being a Medicaid versus a Medicare beneficiary), and timing (readings obtained after the COVID\u201019 Stay\u2010At\u2010Home Order in Hawai\u02bbi).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">This evaluation provided evidence that a clinical algorithm implemented within a large health system's electronic health records could detect patients in need of follow\u2010up to determine hypertension status, and it identified key individual characteristics, clinical and health system factors, and timing considerations that may contribute to undiagnosed hypertension among patients receiving routine care.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.123.031249","type":"journal-article","created":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T12:06:47Z","timestamp":1702382807000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Real\u2010World Evaluation of an Automated Algorithm to Detect Patients With Potentially Undiagnosed Hypertension Among Patients With Routine Care in Hawai\u02bbi"],"prefix":"10.1161","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6594-3814","authenticated-orcid":false,"given":"Mika D.","family":"Thompson","sequence":"first","affiliation":[{"name":"Office of Public Health Studies University of Hawai\u02bbi at M\u0101noa Honolulu HI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1553-1392","authenticated-orcid":false,"given":"Yan Yan","family":"Wu","sequence":"additional","affiliation":[{"name":"Office of Public Health Studies University of Hawai\u02bbi at M\u0101noa Honolulu HI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Blythe","family":"Nett","sequence":"additional","affiliation":[{"name":"Hawai\u02bbi State Department of Health Honolulu HI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0145-732X","authenticated-orcid":false,"given":"Lance K.","family":"Ching","sequence":"additional","affiliation":[{"name":"Hawai\u02bbi State Department of Health Honolulu HI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hermina","family":"Taylor","sequence":"additional","affiliation":[{"name":"Queens Clinically Integrated Physician Network Honolulu HI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2725-4106","authenticated-orcid":false,"given":"Tiffany","family":"Lemmen","sequence":"additional","affiliation":[{"name":"Queens Clinically Integrated Physician Network Honolulu HI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3548-1281","authenticated-orcid":false,"given":"Tetine L.","family":"Sentell","sequence":"additional","affiliation":[{"name":"Thompson School of Social Work and Public Health University of Hawai\u02bbi at M\u0101noa Honolulu HI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0960-1147","authenticated-orcid":false,"given":"Meghan D.","family":"McGurk","sequence":"additional","affiliation":[{"name":"Office of Public Health Studies University of Hawai\u02bbi at M\u0101noa Honolulu HI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1528-5438","authenticated-orcid":false,"given":"Catherine M.","family":"Pirkle","sequence":"additional","affiliation":[{"name":"Office of Public Health Studies University of Hawai\u02bbi at M\u0101noa Honolulu HI"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"276","reference":[{"unstructured":"Ostchega Y Fryar CD Nwankwo T Nguyen DT. 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