{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T12:58:28Z","timestamp":1782997108805,"version":"3.54.5"},"reference-count":22,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2014,6,9]],"date-time":"2014-06-09T00:00:00Z","timestamp":1402272000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["A 1 P01 HL 086773"],"award-info":[{"award-number":["A 1 P01 HL 086773"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Transfusion"],"published-print":{"date-parts":[[2014,12]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Lack of ready access to a donation site may be a potential barrier to or influence the frequency of blood donations. In this study, we applied geographic analysis to blood donor behavior and use of different donation sites.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Design and Methods<\/jats:title><jats:p>The study population consisted of blood donors who gave whole blood in <jats:styled-content style=\"fixed-case\">G<\/jats:styled-content>eorgia between 2004 and 2008. Zip code, city, and county of donor's residence were matched with the addresses of their donation sites. Donors were dichotomized as either nonmetro <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>tlanta or metro <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>tlanta residents. Six donation site categories were defined: donation within the same or a different zip code, within the same or a different city, and within the same or a different county. Logistic regression was used to compare donations by zip code, city, and county.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The study population consisted of 402,692 blood donors who donated 1,147,442 whole blood units between 2004 and 2008, more than half of whom (56.4%) resided in the metro <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>tlanta area. The majority of donors were white (75.0%) and female (55.7%). In nonmetro <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>tlanta, repeat donors were more likely to have donated at fixed sites (p\u2009&lt;\u20090.001). In metro <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>tlanta, repeat donors were more likely to have donated at a mobile site than at a fixed site (p\u2009&lt;\u20090.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Geographic and demographic differences in blood donation patterns exist. The locations of donor residences and blood donation sites influence donor behaviors. Understanding the geographic influence on donation patterns provides an important tool for optimizing donor recruitment strategies.<\/jats:p><\/jats:sec>","DOI":"10.1111\/trf.12740","type":"journal-article","created":{"date-parts":[[2014,6,10]],"date-time":"2014-06-10T04:09:05Z","timestamp":1402373345000},"page":"3051-3060","source":"Crossref","is-referenced-by-count":11,"title":["The value of area\u2010based analyses of donation patterns for recruitment strategies"],"prefix":"10.1111","volume":"54","author":[{"given":"Adelbert B.","family":"James","sequence":"first","affiliation":[{"name":"Center for Transfusion and Cellular Therapies, Department of Pathology and Laboratory Medicine Emory University  Atlanta Georgia"},{"name":"ABJ Health Consulting Solutions, Inc.  Suwanee Georgia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cassandra D.","family":"Josephson","sequence":"additional","affiliation":[{"name":"Center for Transfusion and Cellular Therapies, Department of Pathology and Laboratory Medicine Emory University  Atlanta Georgia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beth H.","family":"Shaz","sequence":"additional","affiliation":[{"name":"New York Blood Center  New York New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"George B.","family":"Schreiber","sequence":"additional","affiliation":[{"name":"Epidemiology Consultant  Bethesda Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher D.","family":"Hillyer","sequence":"additional","affiliation":[{"name":"New York Blood Center  New York New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John D.","family":"Roback","sequence":"additional","affiliation":[{"name":"Center for Transfusion and Cellular Therapies, Department of Pathology and Laboratory Medicine Emory University  Atlanta Georgia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2014,6,9]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1053\/tmrv.2002.31461"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.5858\/133.9.1444"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tmrv.2008.02.006"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1537-2995.2006.00757.x"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.transci.2012.07.005"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tmrv.2011.04.005"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.publhealth.24.012902.141012"},{"key":"e_1_2_7_9_1","unstructured":"Metro Atlanta Chamber.Metro Atlanta 28\u2010county metropolitan statistical area (MSA).2009. 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