{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:20:46Z","timestamp":1787016046749,"version":"build-2736575974"},"reference-count":22,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2013,10,9]],"date-time":"2013-10-09T00:00:00Z","timestamp":1381276800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Vox Sanguinis"],"published-print":{"date-parts":[[2014,2]]},"abstract":"<jats:sec>\n                    <jats:title>Background and Objectives<\/jats:title>\n                    <jats:p>To establish blood donation rates among African refugees and migrants and identify demographic and socio\u2010economic factors that are associated with their blood donation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>A cross\u2010sectional survey of 425 migrants and refugees living in Victoria and South Australia was used to assess blood donation status. The association between blood donation and demographic and socio\u2010economic factors was assessed using multiple logistic regression analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Overall, 73 participants (17\u00b72%; 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      : 13\u00b76\u201320\u00b78) reported having donated blood previously. Of the total sample, 2\u00b74% (95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      : 0\u00b79\u20133\u00b78) reported having given blood in Australia; 12\u00b79% (95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      : 9\u00b77\u201316\u00b71) had given blood prior to migration to Australia (i.e. country of birth or transition); and 1\u00b79% (95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      : 0\u00b76\u20133\u00b72) indicated they had given blood in an unspecified country. In the univariate model, age, country of birth, blood donation knowledge, religion, educational attainment, migration and employment status were all associated with blood donation status. However, in the multivariate model, only age &gt;45\u00a0years (odds ratio [\n                      <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n                      ] 5\u00b772; 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      2\u00b711\u201315\u00b746), African region of origin (\n                      <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n                      15\u00b789; 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      3\u00b789\u201365) and blood donation knowledge (\n                      <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n                      4\u00b746; 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      1\u00b757\u201312\u00b77) were associated with blood donation.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In order to increase the number of blood donors among African migrants, promoting knowledge and awareness of issues associated with blood donation in Australia should be emphasized. Consideration should be given to identifying these potential migrant donors to improve the availability of compatible blood for patients of African descent.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/vox.12091","type":"journal-article","created":{"date-parts":[[2013,10,11]],"date-time":"2013-10-11T22:05:27Z","timestamp":1381529127000},"page":"137-143","source":"Crossref","is-referenced-by-count":12,"title":["Blood donation by\n                    <scp>A<\/scp>\n                    frican migrants and refugees in\n                    <scp>A<\/scp>\n                    ustralia: the role of demographic and socio\u2010economic factors"],"prefix":"10.1111","volume":"106","author":[{"given":"Z.","family":"McQuilten","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine Monash University Melbourne Vic. Australia"},{"name":"Research and Development Australian Red Cross Blood Service Melbourne Vic. Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N.","family":"Waters","sequence":"additional","affiliation":[{"name":"Australian Red Cross Melbourne Vic. Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Polonsky","sequence":"additional","affiliation":[{"name":"School of Management and Marketing Deakin University Melbourne Vic. Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Renzaho","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Preventive Medicine Monash University Melbourne Vic. 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