ArticleVaccines2023
Using Electronic Reminders to Improve Human Papillomavirus (HPV) Vaccinations among Primary Care Patients.
Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 14 citations in OpenAlex.
- Achieving Cancer Prevention Equity: A Policy Analysis of American Cancer Society HPV Vaccination Guidelines.Journal of advanced nursing · 2026Article
- Review
- Identifying HPV vaccination research priorities for the US.Human vaccines & immunotherapeutics · 2025Article
- Utilization of Provider-Patient Communication Tools and Approaches to Facilitate Vaccine Confidence: A Systematic Review.Vaccines · 2025Review
- Digital Health Interventions for Cancer Prevention Among Racial and Ethnic Minority Groups in the United States: A Scoping Review.Journal of racial and ethnic health disparities · 2025Article
- Stakeholder perspective and sentiment in a rapidly growing United States adult vaccination environment.iScience · 2025Article
- Review
- Human Papillomavirus Vaccination and Human Papillomavirus-Related Cancer Rates.JAMA network open · 2024Article
- Article
- Article
- Individual, systemic and state factors associated with provider recommendation of HPV vaccination: Findings from NIS-Teen, 2020.Human vaccines & immunotherapeutics · 2023Article
- Digital engagement and the efficacy of patient portal-based preventive care interventions.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
The COVID-19 pandemic led to delays in routine preventative primary care and declines in HPV immunization rates. Providers and healthcare organizations needed to explore new ways to engage individuals to resume preventive care behaviors. Thus, we evaluated the effectiveness of using customized electronic reminders with provider recommendations for HPV vaccination to increase HPV vaccinations among adolescents and young adults, ages 9-25. Using stratified randomization, participants were divided into two groups: usual care (control) (N = 3703) and intervention (N = 3705). The control group received usual care including in-person provider recommendations, visual reminders in exam waiting rooms, bundling of vaccinations, and phone call reminders. The intervention group received usual care and an electronic reminder (SMS, email or patient portal message) at least once, and up to three times (spaced at an interval of 1 reminder per month). The intervention group had a 17% statistically significantly higher odds of uptake of additional HPV vaccinations than the usual care group (Adjusted Odds Ratio: 1.17, 95% CI: 1.01-1.36). This work supports previous findings that electronic reminders are effective at increasing immunizations and potentially decreasing healthcare costs for the treatment of HPV-related cancers.
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.