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Zhu J, Vazquez-Benitez G, DeSilva MB, Kuckler L, Trower N, Muscoplat MH, Bieringer A, Groom HC, Kharbanda EO. Increased Identification of Vaccines for Vaccine Safety Surveillance Through Linkage With the Minnesota Immunization Information Connection as of December 31, 2023. Public Health Rep 2024:333549241280002. [PMID: 39342452 PMCID: PMC11556530 DOI: 10.1177/00333549241280002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/01/2024] Open
Abstract
OBJECTIVES The HealthPartners' Vaccine Safety Datalink (VSD) team maintains standardized files of vaccines from medical and pharmacy claims and electronic health records (established data sources) for safety surveillance. Since 2021, for selected vaccines, data from the Minnesota Immunization Information Connection (MIIC), Minnesota's immunization information system, have been added to the HealthPartners' VSD files. We examined how MIIC data have enhanced the identification of novel and routine vaccines. METHODS We describe the approach to incorporating MIIC data. We determined and compared the number and proportion of vaccines identified from established data sources with the additional capture of vaccine data identified from MIIC, in which age group and period of observation varied by vaccine. RESULTS As of December 31, 2023, of 1 099 411 people in the HealthPartners' VSD cohort, 1 001 400 people (91%) were linked with an MIIC record. Across all data sources, for the full cohort, >2.7 million COVID-19 vaccine doses were recorded since 2020, >4000 mpox vaccine doses since 2022, >7.3 million influenza vaccine doses since 2004, >600 000 human papillomavirus (HPV) vaccine doses since 2006, and >1.1 million diphtheria and tetanus toxoids and acellular pertussis (DTaP) vaccine doses since 2004. For COVID-19 vaccines, about 30% of vaccine doses were exclusively captured from MIIC, with the remaining 70% from established data sources. For the mpox vaccine, about 42% were exclusively from MIIC. For influenza, HPV, and DTaP vaccines, about 20%, 14%, and 17%, respectively, were exclusively identified from MIIC. CONCLUSIONS Incorporation of data from state immunization information systems into existing vaccine data files can enhance monitoring on the safety of novel vaccines administered outside traditional health care settings and can enhance data quality for routine childhood and adult vaccines.
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Affiliation(s)
- Jingyi Zhu
- HealthPartners Institute, Bloomington, MN, USA
| | | | | | | | | | | | | | - Holly C. Groom
- Kaiser Permanente Center for Health Research, Portland, OR, USA
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Getahun D, Liu ILA, Sy LS, Glanz JM, Zerbo O, Vazquez-Benitez G, Nelson JC, Williams JT, Hambidge SJ, McLean HQ, Irving SA, Weintraub ES, Qian L. Safety of the Seasonal Influenza Vaccine in 2 Successive Pregnancies. JAMA Netw Open 2024; 7:e2434857. [PMID: 39298167 DOI: 10.1001/jamanetworkopen.2024.34857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/21/2024] Open
Abstract
Importance Although influenza vaccination has been found to be safe in pregnancy, few studies have assessed repeated influenza vaccination over successive pregnancies, including 2 vaccinations in a year, in terms of adverse perinatal outcomes. Objective To examine the association of seasonal influenza vaccination across successive pregnancies with adverse perinatal outcomes and whether the association varies by interpregnancy interval (IPI) and vaccine type (quadrivalent or trivalent). Design, Setting, and Participants This retrospective cohort study included individuals with at least 2 successive singleton live-birth pregnancies between January 1, 2004, and December 31, 2018. Data were collected from the Vaccine Safety Datalink, a collaboration between the Centers for Disease Control and Prevention and integrated health care organizations. Data analysis was performed between January 8, 2021, and July 17, 2024. Exposures Influenza vaccination was identified using vaccine administration codes. The vaccinated cohort consisted of people who received influenza vaccines during the influenza season (August 1 through April 30) in 2 successive pregnancies. The comparator cohort consisted of people identified as unvaccinated during both pregnancies. Main Outcomes and Measures Main outcomes were risk of preeclampsia or eclampsia, placental abruption, fever, preterm birth, preterm premature rupture of membranes, chorioamnionitis, and small for gestational age among individuals with and without vaccination in both pregnancies. Adjusted relative risks (RRs) from Poisson regression were used to assess the magnitude of associations. The associations with adverse outcomes by IPI and vaccine type were evaluated. Results Of 82 055 people with 2 singleton pregnancies between 2004 and 2018, 44 879 (54.7%) had influenza vaccination in successive pregnancies. Mean (SD) age at the start of the second pregnancy was 32.2 (4.6) years for vaccinated individuals and 31.2 (5.0) years for unvaccinated individuals. Compared with individuals not vaccinated in both pregnancies, vaccination in successive pregnancies was not associated with increased risk of preeclampsia or eclampsia (adjusted RR, 1.10; 95% CI, 0.99-1.21), placental abruption (adjusted RR, 1.01; 95% CI, 0.84-1.21), fever (adjusted RR, 0.87; 95% CI, 0.47-1.59), preterm birth (adjusted RR, 0.83; 95% CI, 0.78-0.89), preterm premature rupture of membranes (RR, 1.00; 95% CI, 0.94-1.06), chorioamnionitis (adjusted RR, 1.03; 95% CI, 0.90-1.18), or small for gestational age birth (adjusted RR, 0.99; 95% CI, 0.93-1.05). IPI and vaccine type did not modify the observed associations. Conclusions and Relevance In this large cohort study of successive pregnancies, influenza vaccination was not associated with increased risk of adverse perinatal outcomes, irrespective of IPI and vaccine type. Findings support recommendations to vaccinate pregnant people or those who might be pregnant during the influenza season.
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Affiliation(s)
- Darios Getahun
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | - In-Lu Amy Liu
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Lina S Sy
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Jason M Glanz
- Institute for Health Research, Kaiser Permanente Colorado, Denver
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California, Oakland
| | | | - Jennifer C Nelson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | | | | | - Huong Q McLean
- Marshfield Clinic Research Institute, Marshfield, Wisconsin
| | | | - Eric S Weintraub
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lei Qian
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
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Xie S, Monteiro K, Gjelsvik A. Influenza vaccine during pregnancy, recommendations from healthcare providers, and race/ethnicity in the United States. Arch Gynecol Obstet 2024; 310:1441-1450. [PMID: 38300355 DOI: 10.1007/s00404-023-07366-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 12/26/2023] [Indexed: 02/02/2024]
Abstract
OBJECTIVES We examined racial/ethnic differences in the association between influenza vaccine recommendations from healthcare providers and maternal vaccination uptake. METHODS This cross-sectional study examined data from the Pregnancy Risk Assessment Monitoring System. We categorized respondents as non-Hispanic (NH) Whites, NH-Blacks, NH-Asians, American Indians/Alaska Natives, NH Other non-Whites, and Hispanics. We conducted multivariable logistical regression models to evaluate adjusted odds ratios (AOR) and 95% confidence intervals (CI). Covariates included maternal age, marital status, education, insurance status before pregnancy, the number of previous live births, the number of prenatal care visits, and smoking status during pregnancy. RESULTS The prevalences of receiving influenza vaccine recommendations from healthcare providers and maternal vaccine were 80.01% and 50.42%, respectively. NH-Blacks are less likely to receive provider recommendations (AOR = 0.82; 95%CI 0.77-0.87) and be vaccinated (AOR = 0.76; 95%CI 0.72-0.80) than NH-Whites. Receiving provider recommendations was significantly associated with increased maternal influenza vaccine uptake (AOR = 15.50; 95% CI 14.51-16.55). The associations were significant for all racial/ethnic groups, with the highest among NH-Asians (AOR = 22.04; 95% CI 17.88-27.16) and the lowest among NH Other non-Whites (AOR = 11.07; 95% CI 8.25-14.86). Within NH-Asians, effectiveness among Chinese was highest (AOR = 29.39; 95% CI 18.10-47.71). CONCLUSIONS Racial/ethnic disparities in maternal influenza vaccine uptake and receiving vaccine recommendations from healthcare providers persisted. Further studies on the racial/ethnic disparities in maternal vaccination were warranted and tailored strategies are required to reduce this health disparity.
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Affiliation(s)
- Shuai Xie
- School of Public Health, Brown University, Providence, RI, USA.
| | | | - Annie Gjelsvik
- School of Public Health, Brown University, Providence, RI, USA
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Daley MF, Reifler LM, Shoup JA, Glanz JM, Lewin BJ, Klein NP, Kharbanda EO, McLean HQ, Hambidge SJ, Nelson JC, Naleway AL, Weintraub ES, McNeil MM, Razzaghi H, Singleton JA. Influenza vaccination accuracy among adults: Self-report compared with electronic health record data. Vaccine 2024; 42:2740-2746. [PMID: 38531726 PMCID: PMC11238074 DOI: 10.1016/j.vaccine.2024.03.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 03/09/2024] [Accepted: 03/19/2024] [Indexed: 03/28/2024]
Abstract
OBJECTIVE To assess the validity of electronic health record (EHR)-based influenza vaccination data among adults in a multistate network. METHODS Following the 2018-2019 and 2019-2020 influenza seasons, surveys were conducted among a random sample of adults who did or did not appear influenza-vaccinated (per EHR data) during the influenza season. Participants were asked to report their influenza vaccination status; self-report was treated as the criterion standard. Results were combined across survey years. RESULTS Survey response rate was 44.7% (777 of 1740) for the 2018-2019 influenza season and 40.5% (505 of 1246) for the 2019-2020 influenza season. The sensitivity of EHR-based influenza vaccination data was 75.0% (95% confidence interval [CI] 68.1, 81.1), specificity 98.4% (95% CI 92.9, 99.9), and negative predictive value 73.9% (95% CI 68.0, 79.3). CONCLUSIONS In a multistate research network across two recent influenza seasons, there was moderate concordance between EHR-based vaccination data and self-report.
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Affiliation(s)
- Matthew F Daley
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA; Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
| | - Liza M Reifler
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA.
| | - Jo Ann Shoup
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA.
| | - Jason M Glanz
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
| | - Bruno J Lewin
- Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
| | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California, Oakland, CA, USA.
| | | | - Huong Q McLean
- Marshfield Clinic Research Institute, Marshfield, WI, USA.
| | - Simon J Hambidge
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA; Department of Ambulatory Care Services, Denver Health and Hospitals, Denver, CO, USA.
| | - Jennifer C Nelson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
| | - Allison L Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
| | - Eric S Weintraub
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Michael M McNeil
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Hilda Razzaghi
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - James A Singleton
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
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Williams JTB, Kurlandsky K, Breslin K, Durfee MJ, Stein A, Hurley L, Shoup JA, Reifler LM, Daley MF, Lewin BJ, Goddard K, Henninger ML, Nelson JC, Vazquez-Benitez G, Hanson KE, Fuller CC, Weintraub ES, McNeil MM, Hambidge SJ. Attitudes Toward COVID-19 Vaccines Among Pregnant and Recently Pregnant Individuals. JAMA Netw Open 2024; 7:e245479. [PMID: 38587844 PMCID: PMC11002697 DOI: 10.1001/jamanetworkopen.2024.5479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 02/09/2024] [Indexed: 04/09/2024] Open
Abstract
Importance Pregnant people and infants are at high risk of severe COVID-19 outcomes. Understanding changes in attitudes toward COVID-19 vaccines among pregnant and recently pregnant people is important for public health messaging. Objective To assess attitudinal trends regarding COVID-19 vaccines by (1) vaccination status and (2) race, ethnicity, and language among samples of pregnant and recently pregnant Vaccine Safety Datalink (VSD) members from 2021 to 2023. Design, Setting, and Participants This cross-sectional surveye study included pregnant or recently pregnant members of the VSD, a collaboration of 13 health care systems and the US Centers for Disease Control and Prevention. Unvaccinated, non-Hispanic Black, and Spanish-speaking members were oversampled. Wave 1 took place from October 2021 to February 2022, and wave 2 took place from November 2022 to February 2023. Data were analyzed from May 2022 to September 2023. Exposures Self-reported or electronic health record (EHR)-derived race, ethnicity, and preferred language. Main Outcomes and Measures Self-reported vaccination status and attitudes toward monovalent (wave 1) or bivalent Omicron booster (wave 2) COVID-19 vaccines. Sample- and response-weighted analyses assessed attitudes by vaccination status and 3 race, ethnicity, and language groupings of interest. Results There were 1227 respondents; all identified as female, the mean (SD) age was 31.7 (5.6) years, 356 (29.0%) identified as Black race, 555 (45.2%) identified as Hispanic ethnicity, and 445 (36.3%) preferred the Spanish language. Response rates were 43.5% for wave 1 (652 of 1500 individuals sampled) and 39.5% for wave 2 (575 of 1456 individuals sampled). Respondents were more likely than nonrespondents to be White, non-Hispanic, and vaccinated per EHR. Overall, 76.8% (95% CI, 71.5%-82.2%) reported 1 or more COVID-19 vaccinations; Spanish-speaking Hispanic respondents had the highest weighted proportion of respondents with 1 or more vaccination. Weighted estimates of somewhat or strongly agreeing that COVID-19 vaccines are safe decreased from wave 1 to 2 for respondents who reported 1 or more vaccinations (76% vs 50%; χ21 = 7.8; P < .001), non-Hispanic White respondents (72% vs 43%; χ21 = 5.4; P = .02), and Spanish-speaking Hispanic respondents (76% vs 53%; χ21 = 22.8; P = .002). Conclusions and Relevance Decreasing confidence in COVID-19 vaccine safety in a large, diverse pregnant and recently pregnant insured population is a public health concern.
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Affiliation(s)
- Joshua T. B. Williams
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
- Department of Pediatrics, University of Colorado School of Medicine, Aurora
| | - Kate Kurlandsky
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
| | - Kristin Breslin
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
| | - M. Joshua Durfee
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
| | - Amy Stein
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
| | - Laura Hurley
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
| | - Jo Ann Shoup
- Institute for Health Research, Kaiser Permanente Colorado, Aurora
| | - Liza M. Reifler
- Institute for Health Research, Kaiser Permanente Colorado, Aurora
| | - Matthew F. Daley
- Department of Pediatrics, University of Colorado School of Medicine, Aurora
- Institute for Health Research, Kaiser Permanente Colorado, Aurora
| | | | | | | | | | | | | | - Candace C. Fuller
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Eric S. Weintraub
- Immunization Safety Office, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Michael M. McNeil
- Immunization Safety Office, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Simon J. Hambidge
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
- Department of Pediatrics, University of Colorado School of Medicine, Aurora
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