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We estimated distributional effects with a quantile regression model. We stratified patients into low (median household\u2010income\u2009&lt;\u200980k) and high\u2010income (median household\u2010income\u2009\u2265\u200980k) counties.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Data Sources and Analytic Sample<\/jats:title>\n                    <jats:p>We analyzed population\u2010based Surveillance, Epidemiological, and End Results case data (2018\u20132021). We excluded cancer cases that did not receive treatment. All analyses were adjusted for tumor and patient characteristics, treatment received, and geographic factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Principal Findings<\/jats:title>\n                    <jats:p>Among 2,107,188 patients receiving cancer treatment, 73.65% received care at an accredited hospital. Median time\u2010to\u2010treatment was 27\u2009days (interquartile range\u2009=\u20091\u201352). Care at an accredited hospital was associated with longer median time\u2010to\u2010treatment (+2.6\u2009days) in low\u2010income counties but not high\u2010income counties. Similarly, care at an accredited hospital was associated with widening the time\u2010to\u2010treatment interquartile range (+1.8\u2009days) in low\u2010income but not high\u2010income counties. The magnitude of these associations was highest in patients aged 65+, unmarried, diagnosed at an early stage, and in less common cancers. Only among patients diagnosed with distant\u2010stage cancer was accreditation associated with reduced median time\u2010to\u2010treatment in both low and high\u2010income counties.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Treatment at an accredited hospital appeared to increase time\u2010to\u2010treatment differences between high\u2010and low\u2010income counties and low\u2010income counties. This heterogeneity may reflect access challenges facing low\u2010income cancer patients. Health systems seeking to provide high quality, timely care must overcome these access challenges as they navigate patients through the cancer care continuum. While a 2.6\u2010day delay in treatment may not impact outcomes, future research should understand why patients from lower\u2010resource communities wait longer than patients in affluent communities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/1475-6773.14655","type":"journal-article","created":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T08:04:13Z","timestamp":1750147453000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Hospital Accreditation and Geographic Disparities in Timely Cancer Care"],"prefix":"10.1111","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0375-8090","authenticated-orcid":false,"given":"Jason T.","family":"Semprini","sequence":"first","affiliation":[{"name":"Department of Public Health Des Moines University College of Health Sciences  West Des Moines Iowa USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua 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