National Vaccination Coverage Among Adolescents Aged 13–17 Years — National Immunization Survey-Teen, United States, 2023
MMWR. Morbidity and Mortality Weekly Report·
- DOI
- 10.15585/mmwr.mm7333a1
- PMID
- 39173168
- PMCID
- PMC11349384
- OpenAlex
- W4401729978
- Study type
- Journal article
- Publisher
- Centers for Disease Control MMWR Office
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Findings highlight the need for providers to deliver strong vaccine recommendations and verify adolescent vaccination status to maintain protection against vaccine-preventable diseases.
Structured evidence summary
Research question
The study assesses 2023 vaccination coverage among U.S. adolescents and examines trends by birth year and VFC eligibility.
Study design
Cross-sectional analysis of National Immunization Survey-Teen (NIS-Teen) data, supplemented by trend comparisons across birth years and VFC eligibility groups.
Population and setting
16,658 adolescents aged 13–17 years (born January 2005–December 2010) in the United States, surveyed through the 2023 NIS-Teen.
Main findings
Coverage with all routine adolescent vaccines in 2023 was similar to 2022. HPV up-to-date coverage by age 13 declined among VFC-eligible adolescents born in 2010 compared with those born in 2007. Pre-pandemic coverage differences between VFC-eligible and non-VFC-eligible adolescents narrowed in the most recent birth cohorts.
Public-health relevance
Findings highlight the need for providers to deliver strong vaccine recommendations and verify adolescent vaccination status to maintain protection against vaccine-preventable diseases.
Important limitations
The summary is limited to the supplied single-article abstract/metadata and requires the original paper for decision-grade interpretation; explicit methodological limitations were not provided in the abstract.
GIDS interpretation
As an NIS-Teen surveillance report, the article provides a discoverable data point on U.S. adolescent vaccination coverage; this summary does not link it to a live surveillance signal.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 10 auditable classifier relationships to diseases, places, topics, and study design.