Evidence map›Paper›PMID 24286836›Full record

ArticleVaccine2014

System factors to explain 2009 pandemic H1N1 state vaccination rates for children and high-risk adults in US emergency response to pandemic.

Carlo Davila-Payan, Julie Swann, Pascale M Wortley

Abstract read
In one paragraph

Article in Vaccine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. The Impact of Meso-Level Factors on SARS-CoV-2 Vaccine Early Hesitancy in the United States.International journal of environmental research and public health · 2023
    Article
  2. Article
  3. Article
  4. Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia.Transportation research. Part E, Logistics and transportation review · 2022
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Carlo Davila-PayanSchool of Industrial and Systems Engineering, Georgia Institute of Technology, 755 Ferst Drive, NW, Atlanta, GA 30332-0205, USA. Electronic address: carlo.davila@gatech.edu.
Julie SwannSchool of Industrial and Systems Engineering, Georgia Institute of Technology and School of Public Policy (by Courtesy), Georgia Institute of Technology, 755 Ferst Drive, NW, Atlanta, GA 30332-0205, USA. Electronic address: jswann@isye.gatech.edu.
Pascale M WortleyImmunization Services Division, Centers for Disease Control and Prevention, CDC Corporate Square Building 8, Corporate Boulevard NE, Atlanta, GA 30329, USA. Electronic address: pmw1@cdc.gov.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionDuring the 2009-2010 H1N1 pandemic, children and high-risk adults had priority for vaccination. Vaccine in short supply was allocated to states pro-rata by population, but vaccination rates as of January 2010 varied among states from 21.3% to 84.7% for children and 10.4% to 47.2% for high-risk adults. States had different campaign processes and decisions.

objectiveTo determine program and system factors associated with higher state pandemic vaccination coverage for children and high-risk adults during an emergency response with short supply of vaccine.

methodsRegression analysis of factors predicting state-specific H1N1 vaccination coverage in children and high-risk adults, including state campaign information, demographics, preventive or health-seeking behavior, preparedness funding, providers, state characteristics, and surveillance data.

resultsOur modeling explained variation in state-specific vaccination coverage with an adjusted R-squared of 0.82 for children and 0.78 for high-risk adults. We found that coverage of children was positively associated with programs focusing on school clinics and with a larger proportion of doses administered in public sites; negatively with the proportion of children in the population, and the proportion not visiting a doctor because of cost. The coverage for high-risk adults was positively associated with shipments of vaccine to "general access" locations, including pharmacy and retail, with the percentage of women with a Pap smear within the past 3 years and with past seasonal influenza vaccination. It was negatively associated with the expansion of vaccination to the general public by December 4, 2009. For children and high-risk adults, coverage was positively associated with the maximum number of ship-to-sites and negatively associated with the proportion of medically underserved population.

conclusionFindings suggest that distribution and system decisions such as vaccination venues and providers targeted can positively impact vaccination rates for children and high-risk adults. Additionally, existing health infrastructure, health-seeking behaviors, and access affected coverage.

Indexed as

Immunization ProgramsAdolescentAdultChildChild, PreschoolHumansInfantInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesMiddle AgedVaccinationInfluenza VaccinesChildren and high-risk adultsCoverageEstimatesFactorsPandemicState-specific

Identifiers

PMID24286836
PMCPMC6132055

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.