Evidence map›Paper›PMID 27077353›Full record

ArticleAmerican journal of public health2016

Diffusion of Pharmacy-Based Influenza Vaccination Over Time in the United States.

Grace J Chun, Jessica M Sautter, Brandon J Patterson, William F McGhan

Abstract read
In one paragraph

Article in American journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. A Cross-Sectional Study Examining Vaccine Uptake and Attitudes Among Parents Compared to Other Adults.Health education & behavior : the official publication of the Society for Public Health Education · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. The situation of vaccines for the prevention of infections in adults: An opinion paper on the situation in Spain.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2019
    Article
  9. Article
  10. Optimizing the impact of low-efficacy influenza vaccines.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  11. 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

4 authors.

Grace J ChunGrace J. Chun is a PharmD Candidate in the Department of Pharmacy Practice and Administration, University of the Sciences in Philadelphia, Philadelphia, PA. Jessica M. Sautter is with the Department of Behavioral and Social Sciences, University of the Sciences in Philadelphia. At the time of the study, Brandon J. Patterson and William F. McGhan were with the Department of Pharmacy Practice and Administration, University of the Sciences in Philadelphia.
Jessica M SautterGrace J. Chun is a PharmD Candidate in the Department of Pharmacy Practice and Administration, University of the Sciences in Philadelphia, Philadelphia, PA. Jessica M. Sautter is with the Department of Behavioral and Social Sciences, University of the Sciences in Philadelphia. At the time of the study, Brandon J. Patterson and William F. McGhan were with the Department of Pharmacy Practice and Administration, University of the Sciences in Philadelphia.
Brandon J PattersonGrace J. Chun is a PharmD Candidate in the Department of Pharmacy Practice and Administration, University of the Sciences in Philadelphia, Philadelphia, PA. Jessica M. Sautter is with the Department of Behavioral and Social Sciences, University of the Sciences in Philadelphia. At the time of the study, Brandon J. Patterson and William F. McGhan were with the Department of Pharmacy Practice and Administration, University of the Sciences in Philadelphia.
William F McGhanGrace J. Chun is a PharmD Candidate in the Department of Pharmacy Practice and Administration, University of the Sciences in Philadelphia, Philadelphia, PA. Jessica M. Sautter is with the Department of Behavioral and Social Sciences, University of the Sciences in Philadelphia. At the time of the study, Brandon J. Patterson and William F. McGhan were with the Department of Pharmacy Practice and Administration, University of the Sciences in Philadelphia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine pharmacy-based influenza vaccination using diffusion of innovation theory.

methodsWe used 1993 to 2013 Behavioral Risk Factor Surveillance System data to generate weighted prevalence rates of influenza vaccination, stratified by age (18-64 years vs ≥ 65 years) and state of residence. The diffusion of innovation theory adopter categories were residents of states allowing pharmacist vaccination before 1996 ("innovator/early adopters"), between 1996 and 1998 ("early majority"), between 1999 and 2004 ("late majority"), and in 2007 or later ("laggards").

resultsFor adults aged 18 to 64 years, vaccination rates were similar before the innovation (1993), diverged as the innovation reached the majority (2003), and were significantly lower for laggard states by 2013. Younger adults' vaccination rates steadily increased from 12% to 16% in 1993 to 29% to 36% in 2013. For older adults, there was no significant difference in vaccination rates between adopter categories in any year and no advantage associated with adoption category.

conclusionsKey features of pharmacy-based vaccination, including relative advantage and compatibility, are most relevant to younger adults; different interventions are warranted for older adults.

Indexed as

Diffusion of InnovationAdolescentAdultAgedBehavioral Risk Factor Surveillance SystemHumansInfluenza, HumanInfluenza VaccinesMiddle AgedPharmaciesPrevalenceUnited StatesVaccinationInfluenza Vaccines

Identifiers

PMID27077353
PMCPMC4880262

What OpenQuestion holds

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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.