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Res."],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:p>\n            <jats:bold>Aim:<\/jats:bold>\n            To conduct a cost\u2013utility analysis of a novel genetic diagnostic test (OUDTEST) for risk of developing opioid use disorder for elective orthopedic surgery patients.\n            <jats:bold>Materials &amp; Methods:<\/jats:bold>\n            A simulation model assessed cost\u2013effectiveness and quality-adjusted life-years (QALYs) for OUDTEST from private insurer and self-insured employer perspectives over a 5-year time horizon for a hypothetical patient population.\n            <jats:bold>Results:<\/jats:bold>\n            OUDTEST was found to cost less and increase QALYs, over a 5-year period for private insurance (savings\u00a0US$2510; QALYs 0.02) and self-insured employers (-US$2682; QALYs 0.02). OUDTEST was a dominant strategy in 71.1% (private insurance) and 72.7% (self-insured employer) of model iterations. Sensitivity analyses revealed robust results except for physician compliance.\n            <jats:bold>Conclusion:<\/jats:bold>\n            OUDTEST was expected to be a cost-effective solution for personalizing postsurgical pain management in orthopedic patients.\n          <\/jats:p>","DOI":"10.2217\/cer-2021-0115","type":"journal-article","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T10:54:40Z","timestamp":1634813680000},"page":"1349-1361","source":"Crossref","is-referenced-by-count":5,"title":["Cost\u2013utility analysis of single nucleotide polymorphism panel-based machine learning algorithm to predict risk of opioid use disorder"],"prefix":"10.57264","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9642-2977","authenticated-orcid":false,"given":"Peter J","family":"Mallow","sequence":"first","affiliation":[{"name":"Department of Health Services Administration, Xavier University, 3800 Victory Parkway, Cincinnati, OH\u00a045207, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kathy W","family":"Belk","sequence":"additional","affiliation":[{"name":"Health Clarity Solutions, LLC, Mooresville, NC\u00a028115, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"36897","reference":[{"issue":"3","key":"e_1_3_4_3_2","doi-asserted-by":"crossref","first-page":"e190665","DOI":"10.1001\/jamanetworkopen.2019.0665","article-title":"Trends and patterns of geographic variation in opioid prescribing practices by state, United States, 2006\u20132017","volume":"2","author":"Schieber LS","year":"2019","unstructured":"Schieber LS, Guy GP, Seth P. 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