{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T15:38:56Z","timestamp":1787499536634,"version":"build-2736575974"},"reference-count":42,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"13","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2024,7,2]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">Postpartum hypertension is a risk factor for severe maternal morbidity; however, barriers exist for diagnosis and treatment. Remote blood pressure (BP) monitoring programs are an effective tool for monitoring BP and may mitigate maternal health disparities. We aimed to describe and evaluate engagement in a remote BP monitoring program on BP ascertainment during the first 6\u2010weeks postpartum among a diverse patient population.<\/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\">A postpartum remote BP monitoring program, using cell\u2010enabled technology and delivered in multiple languages, was implemented at a large safety\u2010net hospital. Eligible patients are those with hypertensive disorders before or during pregnancy. We describe characteristics of patients enrolled from January 2021 to May 2022 and examine program engagement by patient characteristics. Linear regression models were used to calculate mean differences and 95% CIs between characteristics and engagement metrics. We describe the prevalence of patients with BP \u2265140\/or &gt;90\u2009mm\u2009Hg. Among 1033 patients, BP measures were taken an average of 15.2\u2009days during the 6\u2010weeks, with the last measurement around 1\u2009month (mean: 30.9\u2009days), and little variability across race or ethnicity. Younger maternal age (\u226425\u2009years) was associated with less frequent measures (mean difference, \u22124.3\u2009days [95% CI: \u22126.1 to \u22122.4]), and grandmultiparity (\u22654 births) was associated with shorter engagement (mean difference, \u22123.5\u2009days [95% CI, \u22126.1 to \u22121.0]). Prevalence of patients with BP \u2265140\/or &gt;90\u2009mm\u2009Hg was 62.3%, with differences by race or ethnicity (Black: 72.9%; Hispanic: 52.4%; White: 56.0%).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">A cell\u2010enabled postpartum remote BP monitoring program was successful in uniformly monitoring BP and capturing hypertension among a diverse, safety\u2010net hospital population.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.123.034031","type":"journal-article","created":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T10:42:25Z","timestamp":1719484945000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":13,"title":["Implementation of a Cell\u2010Enabled Remote Blood Pressure Monitoring Program During the Postpartum Period at a Safety\u2010Net Hospital"],"prefix":"10.1161","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9702-0099","authenticated-orcid":false,"given":"Ema","family":"Mujic","sequence":"first","affiliation":[{"name":"Department of Epidemiology Boston University School of Public Health Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7193-077X","authenticated-orcid":false,"given":"Samantha E.","family":"Parker","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Boston University School of Public Health Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kerrie P.","family":"Nelson","sequence":"additional","affiliation":[{"name":"Department of Biostatistics Boston University School of Public Health Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2614-6042","authenticated-orcid":false,"given":"Megan","family":"O'Brien","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Boston University School of Medicine Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Idalis A.","family":"Chestnut","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Boston University School of Public Health Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1464-9156","authenticated-orcid":false,"given":"Jasmine","family":"Abrams","sequence":"additional","affiliation":[{"name":"Department of Social and Behavioral Sciences Yale University School of Public Health New Haven CT USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christina D.","family":"Yarrington","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Boston University School of Medicine Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1097\/AOG.0b013e31826d60c5"},{"key":"e_1_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Hoyert DL. 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