![Sample our Bioscience journals, sign in here to start your access, Latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5925/TOC-Subject-Sample-2021-Bioscience.jpg"})
Abstract
The purpose of this study was to investigate influenza vaccination coverage and the factors influencing acceptance of influenza vaccination among patients with diabetes in Taiwan using the Health Belief Model (HBM). From January 1 to February 28, 2012, 700 patients with diabetes who visited National Cheng Kung University Hospital were invited to participate in the study. A total of 691 (99%) patients with diabetes were enrolled in the study. The mean age of the subjects was 64.7 years (SD = 10.7). The percentages of patients with diabetes who received seasonal influenza vaccination were 31%, 33%, and 35% in 2009–2010, 2010–2011, and 2011–2012, respectively. Multiple regression analyses revealed that patients with diabetes who were female, were older, had comorbidities, had a more positive perception of the benefits of the influenza vaccine and had lower perceived barriers to influenza vaccination were more likely to receive the influenza vaccine in 2011–2012 (adjusted R2 = 0.47; Chi-square = 276.50; P < 0.001). Patients with diabetes perceived the risk of swine influenza to be similar to that of seasonal influenza. Consequently, in the absence of an increase in the perceived risk of influenza, a low level of actual vaccination against seasonal influenza is forecasted. Strategies to improve the uptake of influenza vaccination include interventions that highlight the risk posed by pandemic influenza while simultaneously offering tactics to ameliorate this risk.
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
Acknowledgments
This study was supported by 2 grants: CLFHR-10110, from the Chi-Mei Medical Center, and NCKUH-10103021, from National Cheng Kung University Hospital, Tainan, Taiwan. We thank the Centers for Disease Control, Taiwan, for providing the National Surveillance and vaccination coverage data for influenza infections.