• George C Xakellis.
• University of California Davis, Health System Family Practice Residency Program, Ellison Ambulatory Care Center, Sacramento, CA 95817, USA. gxakelli@att.net
• J Am Board Fam Pract. 2005 Sep 1; 18 (5): 426-33.

BackgroundNumerous individual characteristics have been found to be associated with rates of obtaining flu shots. This study creates a predictive model that assesses the relative impact of each of these factors on increasing rates of flu shots in a population.MethodsThe Medicare beneficiary survey from 1998 and 1999 was used. Sixteen factors present in 1998 were compared between subjects who did and who did not receive flu shots. Significant factors were then used in a logistic regression to predict the probability of receiving a flu shot in 1998 and 1999.ResultsSeven demographic and 7 health status measures were significantly different between subjects who did and who did not receive flu shots in 1998. Logistic regression showed that twelve of these variables were associated with a subject receiving a flu shot in 1998 and explained 11.4% of the variability in who did and who did not receive a flu shot. For the following year, 1999, 7 measures were significantly associated with receiving a flu shot and explained 64% of the variability in who did and who did not receive a flu shot. One variable, if the subject had received a flu shot in 1998, was highly predictive of a subject receiving a flu shot in 1999, explaining 63% of the observed variability in who did and who did not receive a flu shot in 1999.DiscussionThe major predictor of getting a flu shot in future years is having received one in the current year (63% of predictive power). Six other behavior and demographic factors increase the predictive power modestly. Programs that target nonrecipients may increase the overall flu shot rates of a community.

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