System factors to explain H1N1 state vaccination rates for adults in US emergency response to pandemic

dc.contributor.authorDavila-Payan, Carlo
dc.contributor.authorSwann, Julie
dc.contributor.authorWortley, Pascale M.
dc.date.accessioned2020-04-01T20:31:21Z
dc.date.available2020-04-01T20:31:21Z
dc.date.issued2013-05-30
dc.descriptionReposted to the NC State repository under the articles CC-BY-NC-ND license.en_US
dc.description.abstractIntroduction During the 2009–2010 H1N1 pandemic, vaccine in short supply was allocated to states pro rata by population, yet the vaccination rates of adults differed by state. States also differed in their campaign processes and decisions. Analyzing the campaign provides an opportunity to identify specific approaches that may result in higher vaccine uptake in a future event of this nature. Objective To determine supply chain and system factors associated with higher state H1N1 vaccination coverage for adults in a system where vaccine was in short supply. Methods Regression analysis of factors predicting state-specific H1N1 vaccination coverage in adults. Independent variables included state campaign information, demographics, preventive or health-seeking behavior, preparedness funding, providers, state characteristics, and H1N1-specific state data. Results The best model explained the variation in state-specific adult vaccination coverage with an adjusted R-squared of 0.76. We found that higher H1N1 coverage of adults is associated with program aspects including shorter lead-times (i.e., the number of days between when doses were allocated to a state and were shipped, including the time for states to order the doses) and less vaccine directed to specialist locations. Higher vaccination coverage is also positively associated with the maximum number of ship-to locations, past seasonal influenza vaccination coverage, the percentage of women with a Pap smear, the percentage of the population that is Hispanic, and negatively associated with a long duration of the epidemic peak. Conclusion Long lead-times may be a function of system structure or of efficiency and may suggest monitoring or redesign of distribution processes. Sending vaccine to sites with broad access could be useful when covering a general population. Existing infrastructure may be reflected in the maximum number of ship-to locations, so strengthening routine influenza vaccination programs may help during emergency vaccinations also. Future research could continue to inform program decisions.en_US
dc.description.sponsorshipORISE Fellows program; Harold R. and Mary Anne Nash professorship, by the Zalesky Family, and by Andrea Laliberte in gifts to the Georgia Institute of Technology; Centers for Disease Control and Prevention (CDC).en_US
dc.identifier.citationDavila-Payan, C., Swann, J., & Wortley, P. M. (2013). System factors to explain H1N1 state vaccination rates for adults in US emergency response to pandemic. https://doi.org/10.1016/j.vaccine.2013.05.069en_US
dc.identifier.uridoi.org/10.1016/j.vaccine.2013.05.069
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/37315
dc.publisherElsevieren_US
dc.subjectpandemicen_US
dc.subjectcoverageen_US
dc.subjectstate-specificen_US
dc.subjectCOVID-19
dc.titleSystem factors to explain H1N1 state vaccination rates for adults in US emergency response to pandemicen_US
dc.typeArticleen_US

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