{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T13:11:32Z","timestamp":1792415492098,"version":"4.4.0"},"reference-count":65,"publisher":"American Medical Association (AMA)","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"Importance<\/jats:title>Digital health technologies may expand organizational capacity to treat opioid use disorder (OUD). However, it remains unclear whether these technologies serve as substitutes for or complements to traditional substance use disorder (SUD) treatment resources in health care organizations.<\/jats:p><\/jats:sec>Objective<\/jats:title>To characterize the use of patient-facing digital health technologies for OUD by US organizations with accountable care organization (ACO) contracts.<\/jats:p><\/jats:sec>Design, Setting, and Participants<\/jats:title>This cross-sectional study analyzed responses to the 2022 National Survey of Accountable Care Organizations (NSACO), collected between October 1, 2021, and June 30, 2022, from US organizations with Medicare and Medicaid ACO contracts. Data analysis was performed between December 15, 2022, and January 6, 2023.<\/jats:p><\/jats:sec>Exposures<\/jats:title>Treatment resources for SUD (eg, an addiction medicine specialist, sufficient staff to treat SUD, medications for OUD, a specialty SUD treatment facility, a registry to identify patients with OUD, or a registry to track mental health for patients with OUD) and organizational characteristics (eg, organization type, Medicaid ACO contract).<\/jats:p><\/jats:sec>Main Outcomes and Measures<\/jats:title>The main outcomes included survey-reported use of 3 categories of digital health technologies for OUD: remote mental health therapy and tracking, virtual peer recovery support programs, and digital recovery support for adjuvant cognitive behavior therapy (CBT). Statistical analysis was conducted using descriptive statistics and multivariable logistic regression models.<\/jats:p><\/jats:sec>Results<\/jats:title>Overall, 276 of 505 organizations responded to the NSACO (54.7% response rate), with a total of 304 respondents. Of these, 161 (53.1%) were from a hospital or health system, 74 (24.2%) were from a physician- or medical group\u2013led organization, and 23 (7.8%) were from a safety-net organization. One-third of respondents (101 [33.5%]) reported that their organization used at least 1 of the 3 digital health technology categories, including remote mental health therapy and tracking (80 [26.5%]), virtual peer recovery support programs (46 [15.1%]), and digital recovery support for adjuvant CBT (27 [9.0%]). In an adjusted analysis, organizations with an addiction medicine specialist (average marginal effect [SE],\u200932.3 [4.7] percentage points; P<\/jats:italic> &amp;lt; .001) or a registry to track mental health (average marginal effect\u2009[SE],\u200927.2 [3.8] percentage points; P<\/jats:italic> &amp;lt; .001) were more likely to use at least 1 category of technology compared with otherwise similar organizations lacking these capabilities.<\/jats:p><\/jats:sec>Conclusions and Relevance<\/jats:title>In this cross-sectional study of 276 organizations with ACO contracts, organizations used patient-facing digital health technologies for OUD as complements to available SUD treatment capabilities rather than as substitutes for unavailable resources. Future studies should examine implementation facilitators to realize the potential of emerging technologies to support organizations facing health care practitioner shortages and other barriers to OUD treatment delivery.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2023.23741","type":"journal-article","created":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T15:33:02Z","timestamp":1689607982000},"page":"e2323741","source":"Crossref","is-referenced-by-count":24,"title":["Provision of Digital Health Technologies for Opioid Use Disorder Treatment by US Health Care Organizations"],"prefix":"10.1001","volume":"6","author":[{"given":"Chris","family":"Miller-Rosales","sequence":"first","affiliation":[{"name":"Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nancy E.","family":"Morden","sequence":"additional","affiliation":[{"name":"Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire"},{"name":"UnitedHealthcare, Minnetonka, Minnesota"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mary F.","family":"Brunette","sequence":"additional","affiliation":[{"name":"Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire"},{"name":"Department of Psychiatry, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire"},{"name":"Bureau of Mental Health Services, New Hampshire Department of Health and Human Services, Concord"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan H.","family":"Busch","sequence":"additional","affiliation":[{"name":"Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John B.","family":"Torous","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ellen R.","family":"Meara","sequence":"additional","affiliation":[{"name":"Department of Health Policy and Management, Harvard T.H. 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