ArticlePublic health reports (Washington, D.C. : 1974)
Influenza Vaccination Among Pregnant Women: Self-report Compared With Vaccination Data From Electronic Health Records, 2018-2020 Influenza Seasons.
Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Attitudes and beliefs regarding COVID-19 and COVID-19 Omicron booster vaccine among adults in the vaccine safety datalink, 2022-2023.Human vaccines & immunotherapeutics · 2025Article
- Strengths and limitations of non-survey-based data sources for assessing adult vaccination coverage in the United States.Expert review of vaccines · 2025Review
- Religious Service Attendance, COVID-19 Vaccine Attitudes, and COVID-19 Vaccination Status: A Vaccine Safety Datalink Member Survey, 2022-2023.AJPM focus · 2025Article
- Safety of the Seasonal Influenza Vaccine in 2 Successive Pregnancies.JAMA network open · 2024Article
- Influenza vaccine during pregnancy, recommendations from healthcare providers, and race/ethnicity in the United States.Archives of gynecology and obstetrics · 2024Article
- Influenza vaccination accuracy among adults: Self-report compared with electronic health record data.Vaccine · 2024Article
- Attitudes Toward COVID-19 Vaccines Among Pregnant and Recently Pregnant Individuals.JAMA network open · 2024Article
Corrections and comments
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Authors and funding
15 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesHaving accurate influenza vaccination coverage estimates can guide public health activities. The objectives of this study were to (1) validate the accuracy of electronic health record (EHR)-based influenza vaccination data among pregnant women compared with survey self-report and (2) assess whether survey respondents differed from survey nonrespondents by demographic characteristics and EHR-based vaccination status.
methodsThis study was conducted in the Vaccine Safety Datalink, a network of 8 large medical care organizations in the United States. Using EHR data, we identified all women pregnant during the 2018-2019 or 2019-2020 influenza seasons. Surveys were conducted among samples of women who did and did not appear vaccinated for influenza according to EHR data. Separate surveys were conducted after each influenza season, and respondents reported their influenza vaccination status. Analyses accounted for the stratified design, sampling probability, and response probability.
resultsThe survey response rate was 50.5% (630 of 1247) for 2018-2019 and 41.2% (721 of 1748) for 2019-2020. In multivariable analyses combining both survey years, non-Hispanic Black pregnant women had 3.80 (95% CI, 2.13-6.74) times the adjusted odds of survey nonresponse; odds of nonresponse were also higher for Hispanic pregnant women and women who had not received (per EHR data) influenza vaccine during current or prior influenza seasons. The sensitivity, specificity, and positive predictive value of EHR documentation of influenza vaccination compared with self-report were ≥92% for both survey years combined. The negative predictive value of EHR-based influenza vaccine status was 80.5% (95% CI, 76.7%-84.0%).
conclusionsEHR-based influenza vaccination data among pregnant women were generally concordant with self-report. New data sources and novel approaches to mitigating nonresponse bias may be needed to enhance influenza vaccination surveillance efforts.
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