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Daley MF, Reifler LM, Shoup JA, Glanz JM, Naleway AL, Jackson ML, Hambidge SJ, McLean H, Kharbanda EO, Klein NP, Lewin BJ, Weintraub ES, McNeil MM, Razzaghi H, Singleton JA. Influenza Vaccination Among Pregnant Women: Self-report Compared With Vaccination Data From Electronic Health Records, 2018-2020 Influenza Seasons. Public Health Rep 2023; 138:456-466. [PMID: 35674233 PMCID: PMC10240889 DOI: 10.1177/00333549221099932] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024] Open
Abstract
OBJECTIVES Having 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. METHODS This 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. RESULTS The 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%). CONCLUSIONS EHR-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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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
| | - Allison L. Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Michael L. Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Simon J. Hambidge
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of General Pediatrics, Denver Health and Hospitals, Denver, CO, USA
| | - Huong McLean
- Marshfield Clinic Research Institute, Marshfield, WI, USA
| | | | | | - Bruno J. Lewin
- Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Eric S. Weintraub
- Immunization Safety Office, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Michael M. McNeil
- Immunization Safety Office, National Center for Emerging and Zoonotic Infectious Diseases, 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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Fuller JE, Walter EB, Dole N, O'Hara R, Herring AH, Durkin MS, Specker B, Wey B. State-Level Immunization Information Systems: Potential for Childhood Immunization Data Linkages. Matern Child Health J 2017; 21:29-35. [PMID: 27443650 PMCID: PMC5233617 DOI: 10.1007/s10995-016-2090-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Objectives Sources of immunization data include state registries or immunization information systems (IIS), medical records, and surveys. Little is known about the quality of these data sources or the feasibility of using IIS data for research. We assessed the feasibility of collecting immunization information for a national children's health study by accessing existing IIS data and comparing the completeness of these data against medical record abstractions (MRA) and parent report. Staff time needed to obtain IIS and MRA data was assessed. Methods We administered a questionnaire to state-level IIS representatives to ascertain availability and completeness of their data for research and gather information about data formats. We evaluated quality of data from IIS, medical records, and reports from parents of 119 National Children's Study participants at three locations. Results IIS data were comparable to MRA data and both were more complete than parental report. Agreement between IIS and MRA data was greater than between parental report and MRA, suggesting IIS and MRA are better sources than parental report. Obtaining IIS data took less staff time than chart review, making IIS data linkage for research a preferred choice. Conclusions IIS survey results indicate data can be obtained by researchers using data linkages. IIS are an accessible and feasible child immunization information source and these registries reduce reliance on parental report or medical record abstraction. Researchers seeking to link IIS data with large multi-site studies should consider acquiring IIS data, but may need strategies to overcome barriers to data completeness and linkage.
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Affiliation(s)
- Jill E Fuller
- School of Nursing, University of North Carolina - Chapel Hill, Campus Box 7460, Chapel Hill, NC, 27599-7460, USA.
| | - Emmanuel B Walter
- Department of Pediatrics, School of Medicine, Duke University, DUMC 3675, Durham, NC, 27710, USA
| | - Nancy Dole
- Carolina Population Center, University of North Carolina - Chapel Hill, Campus Box 8120, Chapel Hill, NC, 27516, USA
| | - Richard O'Hara
- Carolina Population Center, University of North Carolina - Chapel Hill, Campus Box 8120, Chapel Hill, NC, 27516, USA
| | - Amy H Herring
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Campus Box 7420, Chapel Hill, NC, 27599-7420, USA
| | - Maureen S Durkin
- Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, 789 WARF, 610 Walnut Street, Madison, WI, 53726, USA
| | - Bonny Specker
- Department of Nutrition, South Dakota State University, Box 506, Brookings, SD, 57007, USA
| | - Betty Wey
- Department of Nutrition, South Dakota State University, Box 506, Brookings, SD, 57007, USA
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O'Grady KAF, Dunbar M, Medlin LG, Hall KK, Toombs M, Meiklejohn J, McHugh L, Massey PD, Creighton A, Andrews RM. Uptake of influenza vaccination in pregnancy amongst Australian Aboriginal and Torres Strait Islander women: a mixed-methods pilot study. BMC Res Notes 2015; 8:169. [PMID: 25928130 PMCID: PMC4423150 DOI: 10.1186/s13104-015-1147-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Accepted: 04/23/2015] [Indexed: 11/10/2022] Open
Abstract
Background Influenza infection during pregnancy causes significant morbidity and mortality. Immunisation against influenza is recommended during pregnancy in several countries however, there are limited data on vaccine uptake, and the determinants of vaccination, in pregnant Australian Aboriginal and/or Torres Islander women. This study aimed to collect pilot data on vaccine uptake and attitudes towards, and perceptions of, maternal influenza vaccination in this population in order to inform the development of larger studies. Methods A mixed-methods study comprised of a cross-sectional survey and yarning circles (focus groups) amongst Aboriginal and Torres Strait Islander women attending two primary health care services. The women were between 28 weeks gestation and less than 16 weeks post-birth. These data were supplemented by data collected in an ongoing national Australian study of maternal influenza vaccination. Aboriginal research officers collected community data and data from the yarning circles which were based on a narrative enquiry framework. Descriptive statistics were used to analyse quantitative data and thematic analyses were applied to qualitative data. Results Quantitative data were available for 53 women and seven of these women participated in the yarning circles. The proportion of women who reported receipt of an influenza vaccine during their pregnancy was 9/53. Less than half of the participants (21/53) reported they had been offered the vaccine in pregnancy. Forty-three percent reported they would get a vaccine if they became pregnant again. Qualitative data suggested perceived benefits to themselves and their infants were important factors in the decision to be vaccinated but there was insufficient information available to women to make that choice. Conclusions The rates of influenza immunisation may continue to remain low for Aboriginal and/or Torres Strait Islander women during pregnancy. Access to services and recommendations by a health care worker may be factors in the lower rates. Our findings support the need for larger studies directed at monitoring and understanding the determinants of maternal influenza vaccine uptake during pregnancy in Australian Aboriginal and Torres Strait Islander women. This research will best be achieved using methods that account for the social and cultural contexts of Aboriginal and Torres Strait Islander communities in Australia.
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Affiliation(s)
- Kerry-Ann F O'Grady
- Queensland Children's Medical Research Institute, Queensland University of Technology, Level 7 Centre for Child Health Research, South Brisbane, Queensland, Australia.
| | - Melissa Dunbar
- Queensland Children's Medical Research Institute, Queensland University of Technology, Level 7 Centre for Child Health Research, South Brisbane, Queensland, Australia.
| | - Linda G Medlin
- Queensland Children's Medical Research Institute, Queensland University of Technology, Level 7 Centre for Child Health Research, South Brisbane, Queensland, Australia.
| | - Kerry K Hall
- Queensland Children's Medical Research Institute, Queensland University of Technology, Level 7 Centre for Child Health Research, South Brisbane, Queensland, Australia.
| | - Maree Toombs
- University of Queensland Rural Clinical School, School of Medicine, The University of Queensland, Toowoomba, Queensland, Australia.
| | - Judith Meiklejohn
- Menzies School of Health Research, Charles Darwin University, Spring Hill, Queensland, Australia.
| | - Lisa McHugh
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia. .,Centre for Child Health Research, The University of Queensland, South Brisbane, Queensland, Australia. .,Communicable Diseases Branch, Queensland Health, Herston, Queensland, Australia.
| | - Peter D Massey
- Hunter New England Population Health, New South Wales Health, Tamworth, New South Wales, Australia.
| | - Amy Creighton
- Hunter New England Population Health, New South Wales Health, Tamworth, New South Wales, Australia.
| | - Ross M Andrews
- Menzies School of Health Research, Charles Darwin University, Spring Hill, Queensland, Australia.
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