A spatial regression analysis of German community characteristics associated with voluntary non-remunerated blood donor rates

Vox Sanguinis

Volumn 102, Issue 1, 2012, Pages 47-54

  Weidmann, C ^a   Schneider, S ^a   Litaker, D ^a,b   Weck, E ^a   Kluter H ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b CASE WESTERN RESERVE UNIVERSITY   (United States)

Author keywords

Blood donor; Blood donor recruitment; Demography; Geographical information systems; Germany; Residence characteristics

Indexed keywords

ARTICLE; BLOOD DONOR; COMMUNITY; CORRELATION ANALYSIS; DEMOGRAPHY; GERMANY; HUMAN; MULTIPLE LINEAR REGRESSION ANALYSIS; PRIORITY JOURNAL; RED CROSS; SPATIAL LAG REGRESSION MODEL; STATISTICAL ANALYSIS;

ADOLESCENT; ADULT; AGE DISTRIBUTION; AGED; BLOOD BANKS; BLOOD DONORS; GERMANY; HUMANS; MIDDLE AGED; RED CROSS; REGRESSION ANALYSIS; YOUNG ADULT;

EID: 84655167926     PISSN: 00429007     EISSN: 14230410     Source Type: Journal    
DOI: 10.1111/j.1423-0410.2011.01501.x     Document Type: Article

References (17)

1. WHO Global Database on Blood Safety. 2011. (last accessed 15 March 2011).
2. de Kort W, Wagenmans E, van Dongen A, et al. Blood product collection and supply: a matter of money? Vox Sang 2010; 98:e201-e208.
3. van der Pol M, Cairns J, Galea G: The efficient organization of blood donation: what determines the number of donors and donations? Transfus Med 2000; 10:5-11.
4. Saberton PJ, Paez A, Newbold KB, et al. Geographical variations in the correlates of blood donor turnout rates: an investigation of Canadian metropolitan areas. Int J Health Geogr 2009; 8:56.
5. Hollingsworth B, Wildman J: What population factors influence the decision to donate blood? Transfus Med 2004; 14:9-12.
6. Bekkers R, Veldhuizen I: Geographical differences in blood donation and philanthropy in The Netherlands - what role for social capital? Tijdschr Econ Soc Geogr 2008; 99:483-496.
7. Currie CJ, Patel TC, McEwan P, et al. Evaluation of the future supply and demand for blood products in the United Kingdom National Health Service. Transfus Med 2004; 14:19-24.
8. Ali A, Auvinen M-K, Rautonen J: The aging population poses a global challenge for blood services. Transfusion 2010; 50:584-588.
9. Greinacher A, Fendrich K, Alpen U, et al. Impact of demographic changes on the blood supply: Mecklenburg-West Pomerania as a model region for Europe. Transfusion 2007; 47:395-401.
10. Getis A: Reflections on spatial autocorrelation. Reg Sci Urban Econ 2007; 37:491-496.
11. Ward MD, Gleditsch KS: Spatial Regression Models. Los Angeles, Sage, 2008.
12. Chi G, Zhu J: Spatial Regression Models for Demographic Analysis. Popul Res Policy Rev 2008; 27:17-42.
13. Zou S, Musavi F, Notari EP, et al. Donor deferral and resulting donor loss at the American Red Cross Blood Services, 2001 through 2006. Transfusion 2008; 48:2531-2539.
14. GFK: Purchasing power: Europe remains divided. 2011. (last accessed 22 March 2011).
15. Misje AH, Bosnes V, Gasdal O, et al. Motivation, recruitment and retention of voluntary non-remunerated blood donors: a survey-based questionnaire study. Vox Sang 2005; 89:236-244.
16. Anselin L, Syabri I, Kho Y: GeoDa: an introduction to spatial data analysis. Geogr Anal 2006; 38:5-22.
17. Susser M: The logic in ecological: I. The logic of analysis. Am J Public Health 1994; 84:825-829.