{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:28:11Z","timestamp":1782808091912,"version":"3.54.5"},"reference-count":43,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01"],"award-info":[{"award-number":["R01"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["MH110057"],"award-info":[{"award-number":["MH110057"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Timely, accurate adherence data may support oral pre-exposure prophylaxis (PrEP) success and inform prophylaxis choice. We evaluated a Food and Drug Administration (FDA)-approved digital health feedback system (DHFS) with ingestible-sensor-enabled (IS) tenofovir-disoproxil-fumarate plus emtricitabine (Truvada\u00ae) in persons starting oral PrEP.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Human immunodeficiency virus (HIV)-negative adults were prescribed IS-Truvada\u00ae with DHFS for 12 weeks to observe medication taking behavior. Baseline demographics, urine toxicology, and self-report questionnaires were obtained. Positive detection accuracy and adverse events were computed as percentages, with Kaplan Meier Estimate for persistence-of-use. In participants persisting \u226528 days, adherence patterns (taking and timing) were analyzed, and mixed-effects logistic regression modeled characteristics associated with treatment adherence.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Seventy-one participants were enrolled, mean age 37.6 years (range 18\u201369), 90.1% male, 77.5% White, 33.8% Hispanic, 95.8% housed, and 74.6% employed. Sixty-three participants (88.7%) persisted \u226528 days, generating 4987 observation days, average 79.2 (29\u2013105). Total confirmed doses were 86.2% (95% confidence interval [CI] 82.5, 89.4), decreasing over time, odds ratio (OR) 0.899 (95% CI .876, .923) per week, P &amp;lt; .001; 79.4% (95% CI 66.7%, 87.3%) of participants had \u226580% adherence. Pattern analysis showed days without confirmed doses clustered (P = .003); regular dose timing was higher among participants with \u226580% confirmed doses (0.828, 95% CI .796 to .859) than among those with &amp;lt;80% (0.542, 95% CI95 .405 to .679) P &amp;lt; .001. In multi-predictor models, better adherence was associated with older age, OR 1.060 (95% CI 1.033, 1.091) per year, P &amp;lt; .001; negative vs positive methamphetamine screen, OR 5.051 (95% CI 2.252, 11.494), P &amp;lt; .001.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>DHFS with IS-Truvada\u00ae distinguished adherent persons from those potentially at risk of prophylactic failure. Ongoing methamphetamine substance use may impact oral PrEP success.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/cid\/ciac280","type":"journal-article","created":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T11:29:03Z","timestamp":1651145343000},"page":"134-143","source":"Crossref","is-referenced-by-count":9,"title":["Supporting the Art: Medication Adherence Patterns in Persons Prescribed Ingestible Sensor-enabled Oral Pre-Exposure Prophylaxis to Prevent Human Immunodeficiency Virus Infection"],"prefix":"10.1093","volume":"76","author":[{"given":"Sara H","family":"Browne","sequence":"first","affiliation":[{"name":"Division of Infectious Diseases and Global Public Health, University of California San Diego , La Jolla, California , USA"},{"name":"Specialists in Global Health , Encinitas, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florin","family":"Vaida","sequence":"additional","affiliation":[{"name":"Department of Family Medicine and Public Health, University of California San Diego , La Jolla, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anya","family":"Umlauf","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, University of California San Diego , La Jolla, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amanda J","family":"Tucker","sequence":"additional","affiliation":[{"name":"Division of Infectious Diseases and Global Public Health, University of California San Diego , La Jolla, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Terrence F","family":"Blaschke","sequence":"additional","affiliation":[{"name":"Department of Medicine, Stanford University , Stanford, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Constance A","family":"Benson","sequence":"additional","affiliation":[{"name":"Division of Infectious Diseases and Global Public Health, University of California San Diego , La Jolla, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,5,23]]},"reference":[{"key":"2023053015331586000_ciac280-B1","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1093\/cid\/cit796","article-title":"Are we prepped for preexposure prophylaxis (PrEP)? 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