Seasonal influenza, or the flu, impacts over 3 million people each year. Within the health sector, nosocomial infection and absenteeism are frequently associated with the flu. The Centers for Disease Control and Prevention (CDC) recommend flu vaccination for all eligible individuals, especially health care workers (HCWs). Interventions associated with increased HCW vaccination include educational programs and occupational health campaigns to address misconceptions regarding vaccine safety and efficacy. This project evaluated the impact of a voluntary, web-based education module to encourage registered nurse (RN) vaccination. The logic and health belief models served as the theoretical frameworks. In a nonequivalent group design, an educational program addressing evidence-based barriers to vaccination was delivered at 1 acute-care hospital and was not delivered at a comparison hospital within the health system. A total of 192 surveys (116 at intervention facility) were returned over 3 weeks. Statistically significant differences (x2 = 7.210, p = 0.007) were found for RNs who accepted influenza vaccination after education when compared to the RNs not receiving education. The 15% higher vaccination rate for RNs receiving education (91.1% vs. 76.1%) translates into more than 100 additional vaccinated RNs if applied across both hospitals. This project found that a simple but tailored web-based educational program is effective in converting RNs to vaccination acceptance. Increased vaccination produces societal change by reducing nosocomial and community influenza transmission. Reduced influenza infection improves community health as well as patient safety. Future work should address community-wide HCW education initiatives and evaluate their impact on quality and financial indicators at the hospital and community levels.
Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-3403 |
Date | 01 January 2016 |
Creators | Spoltore, Terri Lynn |
Publisher | ScholarWorks |
Source Sets | Walden University |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Walden Dissertations and Doctoral Studies |
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