ArticleAmerican journal of infection control2024
Understanding factors associated with COVID-19 vaccination among health care workers using the Diffusion of Innovation Theory.
Article in American journal of infection control, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Barriers to COVID-19 Vaccination and Perceptions Around Vaccination Uptake Strategies Among African Americans Living in the US South: Opportunities for Public Health Program Intervention.Journal of racial and ethnic health disparities · 2026Article
- Predicting COVID-19 vaccination timing by integrating the theory of planned behavior and the diffusion of innovations: a cross-sectional survey in Macao, China.Journal of thoracic disease · 2025Article
- Qualitative application of the diffusion of innovation theory to maternity waiting homes in rural Zambia.Implementation science communications · 2025Article
- Applying a diffusion of innovations framework to characterise diffusion groups and more effectively reach late adopters: a cross-sectional study on COVID-19 vaccinations in Canada in late 2021.BMJ public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe COVID-19 vaccine was initially offered to frontline health care workers (HCWs), due to the high risk of contracting COVID-19 through occupational exposure to patients. Low HCW vaccine uptake can impact overall community-level vaccine uptake. This study used the Diffusion of Innovation (DOI) Theory to understand factors related to COVID-19 vaccine uptake in HCWs.
methodsWe surveyed Pennsylvanian HCWs (excluding Philadelphia) from August 2022 to February 2023. Survey questions inquired about demographics, COVID-19 vaccination status, reasons for receiving/declining the COVID-19 vaccine, and sources of information about the vaccine.
resultsParticipants (n = 3,490) were 85% female, 89% White, and 93% (n = 3,255) reported receiving at least one dose of a COVID-19 vaccine. HCWs were categorized into adopter categories of the DOI Theory: innovators (56%), early adopters (9%), early majority (11%), late majority (7%), and laggards (17%). The major reason that prompted participants to get the vaccine was to protect them against COVID-19 infection (78%), while the major reason for declining the vaccine was due to concern about possible side effects from the vaccine (78%).
conclusionsWe applied the DOI Theory to characterize adopters and identify factors related to COVID-19 vaccine uptake in HCWs. As updated COVID-19 vaccines are approved for the United States market, our findings may be used to improve vaccine education and communication among HCWs to support vaccine uptake.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.