Combining evidence and diffusion of innovation theory to enhance influenza immunization

Maria T Britto1, Geralyn M Pandzik, Connie S Meeks

  • 1Division of Adolescent Medicine, Cincinnati Children's Hospital Medical Center, USA. maria.britto@cchmc.org

Insights

Implementing a multi-strategy approach based on diffusion of innovation theory significantly boosted influenza immunization rates in pediatric patients with chronic conditions, achieving higher success than previously reported.

Area of Science:

  • Pediatric Healthcare
  • Public Health Interventions
  • Infectious Disease Prevention

Background:

  • Children and adolescents with chronic conditions face high influenza risks.
  • Annual influenza immunization is recommended for these vulnerable populations.
  • Cystic Fibrosis (CF) patients at Cincinnati Children's achieved a 90.4% immunization rate.

Purpose of the Study:

  • To implement and evaluate a multi-faceted intervention strategy to increase influenza immunization rates.
  • To apply diffusion of innovation theory to spread successful immunization practices across clinics.
  • To improve vaccination coverage in pediatric patients with chronic health conditions.

Main Methods:

  • Utilized nurse-led teams, collaborative learning, and a comprehensive toolkit.
  • Implemented open-access scheduling, standing orders, and a web-based registry.
  • Employed facilitated vaccine ordering, recall phone calls, and weekly results posting.

Main Results:

  • Overall immunization rate reached 60.0% (762/1,269) across participating clinics.
  • Clinic-specific rates varied from 32.7% to 92.8%, with the highest in the CF clinic.
  • Barriers included vaccine shortages, time constraints for reminders, and physician support issues.

Conclusions:

  • A combination of evidence-based interventions, guided by diffusion of innovation theory, effectively increased immunization rates.
  • The study demonstrated successful spread of an intervention to improve influenza vaccination in high-risk pediatric populations.
  • Findings suggest this model can be adapted to enhance immunization coverage in similar clinical settings.
Abstract

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