Blood product collection and supply: a matter of money?
Article first published online: 4 JAN 2010
© 2010 The Author(s). Journal compilation © 2010 International Society of Blood Transfusion
Volume 98, Issue 3p1, pages e201–e208, April 2010
How to Cite
De Kort, W., Wagenmans, E., Van Dongen, A., Slotboom, Y., Hofstede, G. and Veldhuizen, I. (2010), Blood product collection and supply: a matter of money?. Vox Sanguinis, 98: e201–e208. doi: 10.1111/j.1423-0410.2009.01297.x
- Issue published online: 4 MAR 2010
- Article first published online: 4 JAN 2010
- Received: 7 September 2009, revised 14 November 2009, accepted 20 November 2009, published online 4 January 2010
- blood donor management;
- cultural differences;
- Gross National Income;
- Human Development Index
Background Previous studies have shown that countries with a low or medium Human Development Index (HDI) transfuse far fewer blood products than countries with a high HDI. HDI comprises both economical and non-economical elements. We considered the hypothesis that non-economical, cultural differences may be additional factors in understanding blood donation and blood supply differences.
Methods We quantified the explained variance, r2, in: the number of donors, the number of whole blood collections and the number of red blood cell units supplied to hospitals for 25 European countries. Candidate predictors were Hofstede’s cultural dimensions, the demographic factor Old Age Dependency Ratio and the three components of HDI: Gross National Income, Life Expectancy and the Educational Development Index.
Results The cultural dimension Power Distance was the best sole predictor of whole blood collection (r2 = 56·8%) and the number of donors (r2 = 25·1%). The Educational Development Index best predicted the number of red blood cell units (r2 = 45·0%). Multivariable models including the cultural dimension Power Distance and the Educational Development Index gave the best results in predicting the number of whole blood collections and red blood cell units supplied and, to a lesser extent, the number of donors, with adjusted r2 values of 63·6%, 51·9% and 28·6%, respectively. In contrast, Gross National Income made no significant predictive contribution to any of the multivariable models. Neither did the other cultural dimensions, Life Expectancy or Old Age Dependency Ratio.
Conclusion The effects of education level and cultural aspects should be taken into account as influencers on donation behaviour. The concept of power distance, in particular, presents a challenge to blood donor managers in cross-cultural and multi-cultural donor management contexts.