{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T01:48:19Z","timestamp":1789696099372,"version":"4.0.1"},"reference-count":25,"publisher":"Public Library of Science (PLoS)","issue":"3","license":[{"start":{"date-parts":[[2024,3,27]],"date-time":"2024-03-27T00:00:00Z","timestamp":1711497600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["KL2TR001870"],"award-info":[{"award-number":["KL2TR001870"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Objective<\/jats:title>\n<jats:p>To describe the characteristics of patients who received outpatient therapy services through an infant bridge program using telehealth mode of service delivery and to identify if attendance rates vary by mode of service delivery. We hypothesized that telehealth visits will increase attendance rates.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Design<\/jats:title>\n<jats:p>Retrospective, cross-sectional study.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Setting<\/jats:title>\n<jats:p>UCSF Benioff Children\u2019s Hospital outpatient infant bridge program.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Participants<\/jats:title>\n<jats:p>Eighty infants with a history of NICU admission and scheduled for a therapy appointment between June 1, 2019 and December 31, 2020 were included in the study. Participants had an average(SD) gestational age of 34.63(4.41) weeks and length of stay was 43.55(56.03) weeks. The majority were English-speaking (96.3%), White (37.5%), and had commercial insurance (72.5%).<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec005\">\n<jats:title>Main outcome measure<\/jats:title>\n<jats:p>Descriptive analyses were conducted across the entire group along with service delivery model subgroup analysis. Logistic regression was performed to assess patient characteristics associated with attendance and if service delivery model influences attendance.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec006\">\n<jats:title>Results<\/jats:title>\n<jats:p>In the analysis of 596 scheduled visits, there were more completed telehealth sessions than for in-person sessions (90.0% versus 84.1%, <jats:italic>p<\/jats:italic> = .011). For in-person sessions, infants (N = 40) with lower birth gestational ages (<jats:italic>p<\/jats:italic> = .009), longer length of stay (<jats:italic>p<\/jats:italic> = .041), and Medi-Cal insurance (<jats:italic>p<\/jats:italic> = .006) were more likely to have \u22652 missed appointments. For the telehealth sessions, infants (N = 40) who had longer length of stay (<jats:italic>p<\/jats:italic> = .040) were more likely to have \u22652 missed appointments. There is a higher likelihood of \u22652 missed appointments for patients with a longer length of stay (OR = 1.02, 95% CI [1.01, 1.03]) and for in-person service delivery when compared to telehealth (OR = 6.25, 95% CI [1.37, 28.57]).<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec007\">\n<jats:title>Conclusions<\/jats:title>\n<jats:p>Telehealth was associated with higher likelihood of attendance, revealing that telehealth has the potential to increase access to early therapy services for certain populations. Future studies with larger sample sizes to determine which populations benefit from telehealth is recommended.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0301219","type":"journal-article","created":{"date-parts":[[2024,3,27]],"date-time":"2024-03-27T17:39:47Z","timestamp":1711561187000},"page":"e0301219","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":1,"title":["Patient characteristics and telehealth are associated with attendance rates in an outpatient rehabilitation infant bridge program"],"prefix":"10.1371","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2672-487X","authenticated-orcid":true,"given":"Tiana T.","family":"Nguyen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9964-3350","authenticated-orcid":true,"given":"Sang S.","family":"Pak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew J.","family":"Miller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2024,3,27]]},"reference":[{"key":"pone.0301219.ref001","unstructured":"Centers for Disease Control and Prevention. 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