ArticleVaccine2022
Pre-implementation evaluation for an HPV vaccine provider communication intervention among primary care clinics.
Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 4 citations in OpenAlex.
- Web-Based Human Papillomavirus Education and Professional Skills Intervention for Health Care Providers: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Creating and Activating an Implementation Community to Drive HPV Vaccine Uptake in Texas: The Role of an NCI-Designated Cancer Center.Vaccines · 2023Article
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 5 institutions in 1 country.
Funding
Abstract
objectivesInterventions to improve health care provider communication about HPV vaccination can increase vaccine acceptance. Our objectives were to (1) identify clinics in locations with high HPV-associated cancer and low HPV-vaccination rates that would potentially benefit from dissemination of a proposed HPV Provider Communication intervention and (2) use qualitative interviews and a dissemination and implementation framework to assess readiness for change and fit of the HPV Provider Communication intervention to the context of these clinics.
methodsLocal HPV-associated cancer and HPV vaccination rates were assigned to Practice-Based Research Network clinics using data from the Colorado Central Cancer Registry, the Colorado Immunization Information System, and the American Community Survey. Staff from 38 clinics located in areas with high numbers of adolescents not up-to-date for HPV vaccine and high rates of HPV-associated cancers were recruited for qualitative interviews. Interview questions used the Promoting Action on Research Implementation in Health Services (PARIHS) conceptual framework and addressed the proposed intervention, current vaccination practices and prior quality improvement (QI) experience.
resultsTwenty-seven interviews were completed with clinicians, clinic managers, and other staff across 17 clinics (9 pediatric, 5 family medicine, 3 public/school-based health). Most clinics had some prior QI experience and there were few thematic differences between sites with more or less foundation for QI/immunization work. Participants were motivated to improve the health of their patients and valued both guidelines and local experience as important evidence to consider adopting an intervention. Interviewees were more interested in implementing the proposed intervention if it aligned with existing priorities and fit within clinic workflows. Facilitation needs included adequate time and external facilitation support for data tracking and analysis.
conclusionsQualitative interviews to understand clinic context and fit of an HPV Provider Communication intervention can inform implementation in settings with the highest potential for clinical impact.
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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.