{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T14:26:21Z","timestamp":1791383181506,"version":"4.3.3"},"reference-count":39,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T00:00:00Z","timestamp":1694736000000},"content-version":"vor","delay-in-days":15,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8,31]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Telehealth restrictions were relaxed under the COVID-19 public health emergency. We examined telehealth use before and during the pandemic among patients with newly diagnosed cancers and the association between state policies and telehealth use.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The study cohort was constructed from Optum\u2019s deidentified Clinformatics Data Mart and included patients with lymphoma, female breast cancer, colorectal cancer, prostate cancer, and lung cancer diagnosed between March 1, 2019, and March 31, 2021. We performed an interrupted time series analysis to examine the trend of cancer-related telehealth use within 1 month of diagnosis relative to the timing of the COVID-19 public health emergency and multivariable logistic regressions to examine factors\u2014specifically, state parity laws and regulations on cross-state practice\u2014associated with telehealth.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of 110\u200a461 patients, the rate of telehealth use peaked at 33.4% in April 2020, then decreased to 12% to 15% between September 2020 and March 2021. Among the 53\u200a982 patients diagnosed since March 2020, telehealth use was statistically significantly lower for privately insured patients residing in states with coverage-only parity or no or unspecified parity than those in states with coverage and payment parity (adjusted rate\u2009=\u200920.2%, 19.1%, and 23.3%, respectively). The adjusted rate was lower for patients in states with cross-state telehealth policy limitations than for those in states without restrictions (14.9% vs 17.8%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Telehealth use by patients diagnosed with cancer during the pandemic was higher among those living in states with more generous parity and less restrictive rules for cross-state practice. Policy makers contemplating whether to permanently relax certain telehealth policies must consider the impact on vulnerable patient populations who can benefit from telehealth.<\/jats:p><\/jats:sec>","DOI":"10.1093\/jncics\/pkad072","type":"journal-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T17:45:37Z","timestamp":1694799937000},"source":"Crossref","is-referenced-by-count":23,"title":["Impact of state telehealth policies on telehealth use among patients with newly diagnosed cancer"],"prefix":"10.1093","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7210-4333","authenticated-orcid":false,"given":"Tina W F","family":"Yen","sequence":"first","affiliation":[{"name":"Department of Surgery, Division of Surgical Oncology, Medical College of Wisconsin , Milwaukee, WI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2781-2629","authenticated-orcid":false,"given":"I-Wen","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Health Services Research, The University of Texas MD Anderson Cancer Center , Houston, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7290-3864","authenticated-orcid":false,"given":"Ya-Chen Tina","family":"Shih","sequence":"additional","affiliation":[{"name":"Department of Health Services Research, The University of Texas MD Anderson Cancer Center , Houston, TX, USA"},{"name":"Program in Cancer Health Economics Research, Jonsson Comprehensive Cancer Center, University of California Los Angeles , Los Angeles, CA, USA"},{"name":"Department of Radiation Oncology, David Geffen School of Medicine, University of California Los Angeles , Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,9,15]]},"reference":[{"issue":"10","key":"2023102420175636700_pkad072-B1","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1007\/s11882-020-00956-y","article-title":"Telemedicine pays: billing and coding update","volume":"20","author":"Bajowala","year":"2020","journal-title":"Curr Allergy Asthma Rep"},{"key":"2023102420175636700_pkad072-B2","author":"Weigel","year":"2020"},{"key":"2023102420175636700_pkad072-B3","author":"Lee","year":"2022"},{"key":"2023102420175636700_pkad072-B4","author":"National Conference of State Legislatures (NCSL)","year":"2021"},{"key":"2023102420175636700_pkad072-B5","author":"Center for Connected Health Policy; The National Telehealth Policy Resource Center"},{"key":"2023102420175636700_pkad072-B6","author":"Center for Connected Health Policy","year":"2019"},{"key":"2023102420175636700_pkad072-B7","author":"Interstate Medical Licensure 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