Literature DB >> 25764950

An analysis of first-time blood donors return behaviour using regression models.

S Kheiri1, Z Alibeigi2.   

Abstract

BACKGROUND AND OBJECTIVES: Blood products have a vital role in saving many patients' lives. The aim of this study was to analyse blood donor return behaviour.
MATERIALS AND METHODS: Using a cross-sectional follow-up design of 5-year duration, 864 first-time donors who had donated blood were selected using a systematic sampling. The behaviours of donors via three response variables, return to donation, frequency of return to donation and the time interval between donations, were analysed based on logistic regression, negative binomial regression and Cox's shared frailty model for recurrent events respectively.
RESULTS: Successful return to donation rated at 49·1% and the deferral rate was 13·3%. There was a significant reverse relationship between the frequency of return to donation and the time interval between donations. Sex, body weight and job had an effect on return to donation; weight and frequency of donation during the first year had a direct effect on the total frequency of donations. Age, weight and job had a significant effect on the time intervals between donations.
CONCLUSION: Aging decreases the chances of return to donation and increases the time interval between donations. Body weight affects the three response variables, i.e. the higher the weight, the more the chances of return to donation and the shorter the time interval between donations. There is a positive correlation between the frequency of donations in the first year and the total number of return to donations. Also, the shorter the time interval between donations is, the higher the frequency of donations.
© 2015 British Blood Transfusion Society.

Entities:  

Keywords:  first-time donor; recurrent event; regression model; return rate

Mesh:

Substances:

Year:  2015        PMID: 25764950     DOI: 10.1111/tme.12177

Source DB:  PubMed          Journal:  Transfus Med        ISSN: 0958-7578            Impact factor:   2.019


  2 in total

1.  Analysis of Blood Transfusion Data Using Bivariate Zero-Inflated Poisson Model: A Bayesian Approach.

Authors:  Tayeb Mohammadi; Soleiman Kheiri; Morteza Sedehi
Journal:  Comput Math Methods Med       Date:  2016-09-14       Impact factor: 2.238

2.  Analysis of the Factors Affecting the Interval between Blood Donations Using Log-Normal Hazard Model with Gamma Correlated Frailties.

Authors:  Najmeh Tavakol; Soleiman Kheiri; Morteza Sedehi
Journal:  J Res Health Sci       Date:  2016
  2 in total

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