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Article: Predicting potential drop-out and future commitment for first-time donors based on first 1.5-year donation patterns: the case in Hong Kong Chinese donors

TitlePredicting potential drop-out and future commitment for first-time donors based on first 1.5-year donation patterns: the case in Hong Kong Chinese donors
Authors
Issue Date2007
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/VOX
Citation
Vox Sanguinis, 2007, v. 93 n. 1, p. 57-63 How to Cite?
AbstractBackground and Objectives: Adequate blood supply is crucial to the health-care system. To maintain a stable donor pool, donation-promotion strategies should not only be targeted in recruitment but also focus on retaining donors to give blood regularly. A study using statistical modelling is conducted to understand the first 4-year donation patterns for drop-out and committed first-time blood donors and to build model for the donor-type identification based on their first 1.5-year donation patterns. Subjects and Methods: First-time whole blood (n = 20 631) adult donors recruited in year 2000 and 2001 in Hong Kong were observed for more than 4 years. Cluster analysis was first applied to group donor type by their similarities in donation behaviour under the surveillance period. A decision tree model based on a shorter surveillance period (1.5 years) is then built to predict the donor type. Results: Three donation patterns - one-time, drop-out, and committed donor behaviour - were identified in cluster analysis. Three variables - donation frequencies in the first-year and in the half-year period after first year, and the number of donation centre visits in the following half year after first year, were able to predict drop-out donors with potential to become committed and committed donors with relatively lower donation frequency. Conclusions: The present statistical modelling is able to identify those donors with potential to become committed donors and those committed donors who can donate more frequently. This information is useful for development of targeted donor retention strategies. © 2007 The Author(s).
Persistent Identifierhttp://hdl.handle.net/10722/172435
ISSN
2015 Impact Factor: 2.628
2015 SCImago Journal Rankings: 1.108
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYu, PLHen_US
dc.contributor.authorChung, KHen_US
dc.contributor.authorLin, CKen_US
dc.contributor.authorChan, JSKen_US
dc.contributor.authorLee, CKen_US
dc.date.accessioned2012-10-30T06:22:31Z-
dc.date.available2012-10-30T06:22:31Z-
dc.date.issued2007en_US
dc.identifier.citationVox Sanguinis, 2007, v. 93 n. 1, p. 57-63en_US
dc.identifier.issn0042-9007en_US
dc.identifier.urihttp://hdl.handle.net/10722/172435-
dc.description.abstractBackground and Objectives: Adequate blood supply is crucial to the health-care system. To maintain a stable donor pool, donation-promotion strategies should not only be targeted in recruitment but also focus on retaining donors to give blood regularly. A study using statistical modelling is conducted to understand the first 4-year donation patterns for drop-out and committed first-time blood donors and to build model for the donor-type identification based on their first 1.5-year donation patterns. Subjects and Methods: First-time whole blood (n = 20 631) adult donors recruited in year 2000 and 2001 in Hong Kong were observed for more than 4 years. Cluster analysis was first applied to group donor type by their similarities in donation behaviour under the surveillance period. A decision tree model based on a shorter surveillance period (1.5 years) is then built to predict the donor type. Results: Three donation patterns - one-time, drop-out, and committed donor behaviour - were identified in cluster analysis. Three variables - donation frequencies in the first-year and in the half-year period after first year, and the number of donation centre visits in the following half year after first year, were able to predict drop-out donors with potential to become committed and committed donors with relatively lower donation frequency. Conclusions: The present statistical modelling is able to identify those donors with potential to become committed donors and those committed donors who can donate more frequently. This information is useful for development of targeted donor retention strategies. © 2007 The Author(s).en_US
dc.languageengen_US
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/VOXen_US
dc.relation.ispartofVox Sanguinisen_US
dc.rightsVox Sanguinis. Copyright © Blackwell Publishing Ltd.-
dc.subject.meshAdulten_US
dc.subject.meshAsian Continental Ancestry Groupen_US
dc.subject.meshBlood Donors - Supply & Distributionen_US
dc.subject.meshFemaleen_US
dc.subject.meshForecasting - Methodsen_US
dc.subject.meshHong Kongen_US
dc.subject.meshHumansen_US
dc.subject.meshMaleen_US
dc.subject.meshModels, Statisticalen_US
dc.subject.meshPredictive Value Of Testsen_US
dc.titlePredicting potential drop-out and future commitment for first-time donors based on first 1.5-year donation patterns: the case in Hong Kong Chinese donorsen_US
dc.typeArticleen_US
dc.identifier.emailYu, PLH: plhyu@hkucc.hku.hken_US
dc.identifier.authorityYu, PLH=rp00835en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1111/j.1423-0410.2007.00905.xen_US
dc.identifier.pmid17547566-
dc.identifier.scopuseid_2-s2.0-34249788680en_US
dc.identifier.hkuros133506-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34249788680&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume93en_US
dc.identifier.issue1en_US
dc.identifier.spage57en_US
dc.identifier.epage63en_US
dc.identifier.isiWOS:000247174100008-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridYu, PLH=7403599794en_US
dc.identifier.scopusauthoridChung, KH=38561123100en_US
dc.identifier.scopusauthoridLin, CK=15034856400en_US
dc.identifier.scopusauthoridChan, JSK=24467617500en_US
dc.identifier.scopusauthoridLee, CK=36087620900en_US

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