{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T10:28:57Z","timestamp":1780050537355,"version":"3.53.1"},"reference-count":24,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2020,7,28]],"date-time":"2020-07-28T00:00:00Z","timestamp":1595894400000},"content-version":"vor","delay-in-days":209,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["P30CA168524"],"award-info":[{"award-number":["P30CA168524"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>An increasingly diversified demographic landscape in rural and urban America warrants the attention of The University of Kansas Cancer Center (KU Cancer Center) researchers, clinicians, outreach staff and administrators as the institution assesses ways to reach its expansive, bi-state catchment area. Within the counties of the KU Cancer Center catchment area, patient level and public health data are available and categorized by varying geographic regional boundaries. Multiple data sources and different data collection processes complicate summarizing catchment area data. A curated data warehouse that retrieves and structures the data, with a common denominator, can support meaningful use of the data in a standard and consistent format. The KU Cancer Center built a data warehouse to Organize and Prioritize Trends to Inform KU Cancer Center (OPTIK), which functions to streamline the process of synthesizing data regarding Kansas and Missouri demographics, cancer risk factors and incidence and mortality rates. OPTIK standardizes these diverse data sources to enable analyses of the cancer burden at local, regional and national levels while upholding a strict standard of patient privacy. The OPTIK database enables researchers to use available data and create heat maps and other visualizations to aid in funding proposals, presentations and research activities. Furthermore, using knowledge provided by OPTIK, the KU Cancer Center is able to prioritize action items for research and outreach and more effectively communicate the impact of those efforts.<\/jats:p>","DOI":"10.1093\/database\/baaa054","type":"journal-article","created":{"date-parts":[[2020,6,25]],"date-time":"2020-06-25T19:24:20Z","timestamp":1593113060000},"source":"Crossref","is-referenced-by-count":9,"title":["OPTIK: a database for understanding catchment areas to guide mobilization of cancer center assets"],"prefix":"10.1093","volume":"2020","author":[{"given":"Dinesh Pal","family":"Mudaranthakam","sequence":"first","affiliation":[{"name":"Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"},{"name":"The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa M","family":"Harlan-Williams","sequence":"additional","affiliation":[{"name":"The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"},{"name":"Department of Anatomy and Cell Biology, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roy A","family":"Jensen","sequence":"additional","affiliation":[{"name":"The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"},{"name":"Department of Anatomy and Cell Biology, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"},{"name":"Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanluen","family":"Kuo","sequence":"additional","affiliation":[{"name":"The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"},{"name":"Masonic Cancer Alliance, 4350 Shawnee Mission Parkway Suite 1100 Fairway, KS 66205 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vandita","family":"Garimella","sequence":"additional","affiliation":[{"name":"Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronald C","family":"Chen","sequence":"additional","affiliation":[{"name":"The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"},{"name":"Department of Radiation Oncology, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew S","family":"Mayo","sequence":"additional","affiliation":[{"name":"Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"},{"name":"The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hope","family":"Krebill","sequence":"additional","affiliation":[{"name":"The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA"},{"name":"Masonic Cancer Alliance, 4350 Shawnee Mission Parkway Suite 1100 Fairway, KS 66205 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2020,7,28]]},"reference":[{"key":"2020072720165318900_ref1","doi-asserted-by":"crossref","DOI":"10.3390\/ijerph15092051","article-title":"Evaluating the accessibility of healthcare facilities using an integrated catchment area approach","volume":"15","author":"Pan","year":"2018","journal-title":"Int. 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