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Updated: Nov 22, 2025

Use of Interferon-γ Enzyme-linked Immunospot Assay to Characterize Novel T-cell Epitopes of Human Papillomavirus
Published on: March 8, 2012
A Quality Improvement Learning Collaborative for Human Papillomavirus Vaccination
Kristin Oliver1, Kera Beskin2, Laura Noonan3
1Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, N.Y.
Abstract:
Many published accounts have shown that quality improvement (QI) initiatives within medical practice settings can increase vaccination rates. Project ECHO is a telementoring platform that uses video conferencing technology to educate and support healthcare professionals through case-based learning and brief lectures. This manuscript explores the results of a learning collaborative focused on combining QI and Project ECHO to increase human papillomavirus (HPV) vaccination rates within pediatric practices.
Methods:
The American Academy of Pediatrics (AAP) recruited 3 AAP chapters that then recruited individual pediatricians and their practices for participation. Participants responded to surveys regarding chapter and pediatrician experience and satisfaction. Impact on HPV immunization rates (HPV initiation, series completion, and missed opportunities to vaccinate during visits) was measured using practice reports of chart reviews to AAP's data aggregator, which produced run charts.
Results:
Thirty-four pediatricians within 8 practices completed the project; 1 practice withdrew. Physicians self-reported increased confidence in communicating with vaccine-hesitant families and implementing QI activities. We analyzed practice run charts utilizing QI run chart rules and found nonrandom change towards improvement for aggregate missed opportunities to vaccinate but not for HPV vaccine initiation or series completion.
Conclusions:
An HPV QI learning collaborative improved participant confidence in HPV vaccine communication and QI skills and decreased missed opportunities to vaccinate. Future projects should consider a more extended project period or more frequent data collection to reduce data variability to make it easier to spot nonrandom changes.
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