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Transfus Med ; 25(4): 243-8, 2015 Aug.
Article in English | MEDLINE | ID: mdl-25764950

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.


Subject(s)
Blood Donors/psychology , Adult , Age Factors , Aged , Behavior , Blood Donors/statistics & numerical data , Blood Group Antigens , Body Weight , Cross-Sectional Studies , Female , Follow-Up Studies , Humans , Iran , Logistic Models , Male , Middle Aged , Models, Psychological , Proportional Hazards Models , Sex Factors , Socioeconomic Factors , Time Factors , Young Adult
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