METHODS: Data were collected via a self-administered questionnaire from a sample of 500 students at a public higher learning institution in Malaysia. Structural equation modelling approach (SEM) was performed to assess the strength of the hypothesized relationships of the proposed model simultaneously via the two-stage model-building process.

RESULTS: The SEM approach revealed that knowledge was the most influential predictor of students' intention to make a voluntary blood donation. With the knowledge that the more blood they donate, the more lives will be saved, the inclination to donate blood is intensifying among students. Moreover, all of the TPB constructs applied were also seen to significantly influence students' response to voluntary blood donation.

MATERIALS AND METHODS: This was an interventional study involving 382 blood donors who were deferred for low hemoglobin. The donors were divided equally into two groups: a control group and the intervention group. The control group received standard management for low hemoglobin deferral, which includes a short counseling session and a 1-month course of oral iron therapy. The intervention group used a mobile application in addition to standard management. The primary endpoint was the number of blood donors who returned during the 7 months of follow-up. The secondary endpoints were the hemoglobin increment at the first visit after the donors' deferral.

RESULTS: The return rate was higher in the intervention group, with 81.2% of the donors returning in the 7 months of follow-up compared to 66% of the control group (p<0.001). Male and female donors had mean hemoglobin increments of 1.0 g/dL and 0.7 g/dL, respectively, in the intervention group, compared to decrements of 0.2 g/dL and 0.4 g/dL, respectively, in the control group (p<0.001). Multivariable analysis showed a significant association between intervention method, education level and donation status on donor return (p=0.015, p<0.001, and p<0.001, respectively).