Evidence map›Paper›PMID 36884385›Full record

ArticleJournal of women's health (2002)2023

Surveillance Systems for Monitoring Vaccination Coverage with Vaccines Recommended for Pregnant Women, United States.

Mehreen Meghani, Hilda Razzaghi, Katherine E Kahn, Mei-Chuan Hung, Anup Srivastav, Peng-Jun Lu, Sascha Ellington, Fangjun Zhou, Eric Weintraub, Carla L Black and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of women's health (2002), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

11 authors at 4 institutions in 1 country.

Mehreen MeghaniCDC Foundation, Atlanta, Georgia, USA.ORCID 0000-0002-8977-2052
Hilda RazzaghiImmunization Services Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia, USA.
Katherine E KahnImmunization Services Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia, USA.
Mei-Chuan HungImmunization Services Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia, USA.
Anup SrivastavImmunization Services Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia, USA.
Peng-Jun LuImmunization Services Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia, USA.
Sascha EllingtonDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA.
Fangjun ZhouImmunization Services Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia, USA.
Eric WeintraubDivision of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infections, CDC, Atlanta, Georgia, USA.
Carla L BlackImmunization Services Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia, USA.
James A SingletonImmunization Services Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia, USA.
National Center for Immunization and Respiratory Diseases · USLeidos (United States) · USCenters for Disease Control and Prevention · USNational Center for Emerging and Zoonotic Infectious Diseases · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Pregnant women* and their infants are at increased risk for serious influenza, pertussis, and COVID-19-related complications, including preterm birth, low-birth weight, and maternal and fetal death. The advisory committee on immunization practices recommends pregnant women receive tetanus-toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) vaccine during pregnancy, and influenza and COVID-19 vaccines before or during pregnancy. Vaccination coverage estimates and factors associated with maternal vaccination are measured by various surveillance systems. The objective of this report is to provide a detailed overview of the following surveillance systems that can be used to assess coverage of vaccines recommended for pregnant women: Internet panel survey, National Health Interview Survey, National Immunization Survey-Adult COVID Module, Behavioral Risk Factor Surveillance System, Pregnancy Risk Assessment Monitoring System, Vaccine Safety Datalink, and MarketScan. Influenza, Tdap, and COVID-19 vaccination coverage estimates vary by data source, and select estimates are presented. Each surveillance system differs in the population of pregnant women, time period, geographic area for which estimates can be obtained, how vaccination status is determined, and data collected regarding vaccine-related knowledge, attitudes, behaviors, and barriers. Thus, multiple systems are useful for a more complete understanding of maternal vaccination. Ongoing surveillance from the various systems to obtain vaccination coverage and information regarding disparities and barriers related to vaccination are needed to guide program and policy improvements.

Indexed as

COVID-19Diphtheria-Tetanus-acellular Pertussis VaccinesInfluenza, HumanInfluenza VaccinesPremature BirthWhooping CoughAdultCOVID-19 VaccinesFemaleHumansInfantInfant, NewbornPregnancyPregnant PeopleUnited StatesVaccinationCOVID-19 VaccinesDiphtheria-Tetanus-acellular Pertussis VaccinesInfluenza VaccinesCOVID-19influenzapregnant womensurveillance systemsTdap

Identifiers

PMID36884385
PMCPMC13022730
OpenAlexW4323532205

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.