ArticleVaccine2020
Impact of media reports regarding influenza vaccine on obstetricians' vaccination practices.
Article in Vaccine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Maternal influenza vaccination and associated risk of fetal loss: A claims-based prospective cohort study.Vaccine · 2024Article
- Effective communications strategies to increase the impact of environmental health research.Environmental health : a global access science source · 2023Article
- Coverage and Timing of Influenza Vaccination Among Privately Insured Pregnant Women in the United States, 2010-2018.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundIn 2017, three media stories regarding influenza vaccine may have impacted obstetricians' (OB) influenza vaccination practices: reports of reduced influenza vaccine effectiveness, a severe influenza season, and a possible increased risk of miscarriage among pregnant women receiving 2009 H1N1 vaccine in the 1st trimester who had received H1N1 vaccine the previous season (later disproven).
objectiveDescribe OB's: (1) awareness of; (2) attitudes and experiences related to; and (3) reported alterations in practice as a result of these reports.
methodsA survey among a nationally representative sample of OBs April to June 2018.
resultsResponse rate was 65% (302/468). 88% of OBs were "very aware" of the severe season, 74% of lower effectiveness, and 25% of the miscarriage study (47% "completely unaware" of miscarriage study). Among those aware, 58%, 57%, and 16% reported ≥10% of pregnant patients initiated discussions about the severe season, lower effectiveness, and miscarriage study, respectively. Most (83%) agreed reports about increased severity increased their enthusiasm for recommending influenza vaccine; fewer agreed reports about the miscarriage study (18%) and lower vaccine effectiveness (12%) decreased their enthusiasm for recommending influenza vaccine. Providers were more likely to initiate discussion with patients about increased severity of the season than the other reports. However, 35% agreed the miscarriage study reports increased their concerns about influenza vaccine safety; 18% (n = 48) reported changing the way they recommended influenza vaccine. Of those, 17 (6% of all respondents) reported not recommending influenza vaccine to women during the 1st trimester and 26 (10% of all respondents) recommended it but were willing to delay until the 2nd trimester.
conclusionsDuring a season in which media stories could have influenced OB influenza vaccination behaviors in different directions, reports underscoring importance of influenza vaccine may have had more impact on OBs' recommendations than reports questioning vaccine safety or effectiveness.
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.