{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T17:29:07Z","timestamp":1791480547550,"version":"4.3.4"},"reference-count":65,"publisher":"American Society of Clinical Oncology (ASCO)","issue":"10","content-domain":{"domain":["ascopubs.org"],"crossmark-restriction":true},"short-container-title":["JCO Oncol Pract"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:sec>\n                    <jats:title>PURPOSE<\/jats:title>\n                    <jats:p>The use of electronic patient-reported outcome measures (ePROMs) in supportive cancer care can lead to benefits, such as identifying at-risk patients in need of closer monitoring and treatment. Despite these benefits, most studies examining ePROMs in this area were for clinical trials rather than standard care. Since there is a need to identify which patients are more likely to participate in ePROMs, this study assessed ePROM participation rates and factors influencing greater participation among patients receiving supportive care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>This retrospective data analysis took place at a supportive care clinic within a National Cancer Institute\u2013designated Comprehensive Cancer Center in the southeastern United States. Starting in 2017, ePROM assessments were implemented using tablets for in-person appointments at the clinic. The assessments included the Patient Health Questionnaire-9, National Comprehensive Cancer Network Distress Thermometer, and Edmonton Symptom Assessment System with additional questions added for other symptoms. Logistic regression and zero-truncated negative binomial regression models were used to analyze factors associated with ePROM assessment submission.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>The study included 4,780 patients, with 42.7% submitting at least one ePROM assessment. Higher odds of ePROM submission were observed among patients age 35-64 years, had Medicare, had nonmetastatic cancer, or had genitourinary, breast, or multiple cancers. Additionally, higher rates of ePROM submissions were observed among patients who were younger; had GI, breast, or multiple cancers; had nonmetastatic cancer; or had private insurance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSION<\/jats:title>\n                    <jats:p>This study reveals that submission rates of ePROM assessments in a cancer center's supportive care clinic may be influenced by patient demographics, cancer history, and social determinants of health. Interventions to improve ePROM submission rates may need to be tailored on the basis of cancer site, presence of metastatic cancer, and caregiver support.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1200\/op-24-00760","type":"journal-article","created":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T15:59:16Z","timestamp":1741190356000},"page":"1430-1438","update-policy":"https:\/\/doi.org\/10.1200\/crossmark","source":"Crossref","is-referenced-by-count":3,"title":["Participation in Electronic Patient-Reported Outcome Measures Collection as a Part of Routine Supportive Care Delivery in Oncology"],"prefix":"10.1200","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1312-3581","authenticated-orcid":false,"given":"Sri Varsha","family":"Katoju","sequence":"first","affiliation":[{"name":"Department of Community Health and Family Medicine, University of Florida, Gainesville, FL"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2852-7106","authenticated-orcid":false,"given":"Oliver T.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Department of Health Outcomes and Behavior, H. 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