{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T18:45:16Z","timestamp":1782845116662,"version":"3.54.5"},"reference-count":33,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Med Internet Res"],"abstract":"\n Background<\/jats:title>\n Almost one-third of pregnant people visit the emergency room during pregnancy. Although some emergency care is necessary, gaps in patient education and inaccessibility of preventive services have been identified as key reasons for high-cost, low-value care in pregnancy. Digital platforms present a promising solution for providing resources to supplement routine prenatal care, thereby reducing the use of low-value in-person services.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study aimed to describe the relationship between the use of Maven and in-person care avoidance (emergency room or office visits) during pregnancy. Maven is a digital prenatal health platform that supplements routine prenatal care. Maven offers educational content (articles, videos, and classes), care coordination (through a care advocate), and provider services (web-based appointments and communication with providers) designed to complement prenatal care. Specifically, the aims of this study were to examine whether the use of Maven is associated with in-person care avoidance overall and whether improvements in pregnancy-related knowledge facilitate in-person care avoidance. To assess aim 2, we tested if the use of Maven is associated with improvements in self-reported understanding of warning signs and medically accurate information and if self-reported understanding of medically accurate information and warning signs is associated with in-person care avoidance in a population of Maven users.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n In this retrospective study, we used adjusted logistic regression to examine the relationship between digital platform use, avoidance of in-person care, and the platform\u2019s influence on pregnancy-related knowledge (learning medically accurate information and recognizing warning signs). Demographics, medical history, and in-person care avoidance were self-reported.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Of the 5263 users, 280 (5.32%) reported that Maven helped them avoid in-person care during pregnancy. More users who reported avoiding in-person care also reported that the digital platform helped them understand warning signs (231\/280, 82.5%) and learned medically accurate information (185\/280, 66.1%). In the adjusted models, all modes of digital service use (assessed as quartiles) were associated with avoiding in-person care in a dose-response manner (eg, web-based provider appointments: Q2 adjusted odds ratio [aOR] 1.57, 95% CI 1.00-2.41; Q3 aOR 2.53, 95% CI 1.72-3.72; Q4 aOR 5.26, 95% CI 3.76-7.42). Users were more likely to avoid in-person care if they reported that Maven helped them recognize warning signs (aOR 3.55, 95% CI 2.60-4.94) or learn medically accurate information (aOR 2.05, 95% CI 1.59-2.67).<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n These results suggest that digital platforms can be effective in helping patients to avoid in-person care. The educational pathway suggests that digital platforms can be particularly effective in helping patients recognize warning signs and learn medically accurate information, which may help them avoid in-person care by recognizing when in-person care is medically appropriate. Future work is needed to assess other pathways through which digital resources can support pregnant people and improve perinatal care use.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/43180","type":"journal-article","created":{"date-parts":[[2023,3,19]],"date-time":"2023-03-19T10:12:50Z","timestamp":1679220770000},"page":"e43180","source":"Crossref","is-referenced-by-count":7,"title":["Association Between the Use of a Digital Health Platform During Pregnancy and Helping Users Avoid Emergency and In-Person Care: Retrospective Observational Study"],"prefix":"10.2196","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1875-5332","authenticated-orcid":false,"given":"Hannah R","family":"Jahnke","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6737-693X","authenticated-orcid":false,"given":"Lily","family":"Rubin-Miller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0293-1859","authenticated-orcid":false,"given":"Natalie","family":"Henrich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2516-7862","authenticated-orcid":false,"given":"Christa","family":"Moss","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8971-7627","authenticated-orcid":false,"given":"Neel","family":"Shah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1186-9866","authenticated-orcid":false,"given":"Alex","family":"Peahl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2023,5,15]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/acem.13215"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2016.10.013"},{"key":"ref3","unstructured":"Hear her campaignCenters for Disease Control and Prevention20222022-09-12https:\/\/www.cdc.gov\/hearher\/about-the-campaign\/index.html"},{"key":"ref4","unstructured":"Report from nine maternal mortality review committeesBuilding U.S. Capacity to Review and Prevent Maternal Deaths20182022-09-12https:\/\/www.cdcfoundation.org\/sites\/default\/files\/files\/ReportfromNineMMRCs.pdf"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra1601705"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1097\/AOG.0000000000003672"},{"issue":"174","key":"ref7","first-page":"1","author":"Santo, L","year":"2022","journal-title":"Natl Health Stat Report"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s12875-022-01749-0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10608-018-9980-z"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2018.06.037"},{"key":"ref11","unstructured":"CDC\/ATSDR social vulnerability index 2018 database USCenters for 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data from maternal mortality review committees in 36 US states, 2017\u20132019Centers for Disease Control and Prevention20222022-09-20https:\/\/www.cdc.gov\/reproductivehealth\/maternal-mortality\/erase-mm\/data-mmrc.html"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S1701-2163(15)30961-0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(07)61238-0"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00737-018-0912-4"},{"key":"ref20","unstructured":"MargiottaCGaoJVohraDO'NeilSZivinKUntreated maternal mental health conditions in Texas: costs to society and to 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