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Gregory ME, Powell JR, MacEwan SR, Kurth JD, Kenah E, Panchal AR, McAlearney AS. COVID-19 Vaccinations in EMS Professionals: Prevalence and Predictors. PREHOSP EMERG CARE 2021; 26:632-640. [PMID: 34644239 PMCID: PMC9190028 DOI: 10.1080/10903127.2021.1993391] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background: Immunizations for emergency medical services (EMS) professionals during pandemics are an important tool to increase the safety of the workforce as well as their patients. The purpose of this study was to better understand EMS professionals’ decisions to receive or decline a COVID-19 vaccine. Methods: We conducted a cross-sectional analysis of nationally certified EMS professionals (18–85 years) in April 2021. Participants received an electronic survey asking whether they received a vaccine, why or why not, and their associated beliefs using three validated scales: perceived risk of COVID-19, medical mistrust, and confidence in the COVID-19 vaccine. Data were merged with National Registry dataset demographics. Analyses included descriptive analysis and multivariable logistic regression (OR, 95% CI). Multivariate imputation by chained equations was used for missingness. Results: A total of 2,584 respondents satisfied inclusion criteria (response rate = 14%). Overall, 70% of EMS professionals were vaccinated. Common reasons for vaccination among vaccinated respondents were to protect oneself (76%) and others (73%). Common reasons for non-vaccination among non-vaccinated respondents included concerns about vaccine safety (53%) and beliefs that vaccination was not necessary (39%). Most who had not received the vaccine did not plan to get it in the future (84%). Hesitation was most frequently related to wanting to see how the vaccine was working for others (55%). Odds of COVID-19 vaccination were associated with demographics including age (referent <28 years; 39–50 years: 1.56, 1.17–2.08; >51 years: 2.22, 1.64–3.01), male sex (1.26, 1.01–1.58), residing in an urban/suburban area (referent rural; 1.36, 1.08–1.70), advanced education (referent GED/high school and below; bachelor’s and above: 1.72, 1.19–2.47), and working at a hospital (referent fire-based agency; 1.53, 1.04–2.24). Additionally, vaccination odds were significantly higher with greater perceived risk of COVID-19 (2.05, 1.68–2.50), and higher vaccine confidence (2.84, 2.40–3.36). Odds of vaccination were significantly lower with higher medical mistrust (0.54, 0.46–0.63). Conclusion: Despite vaccine availability, not all EMS professionals had been vaccinated. The decision to receive a COVID-19 vaccine was associated with demographics, beliefs regarding COVID-19 and the vaccine, and medical mistrust. Efforts to increase COVID-19 vaccination rates should emphasize the safety and efficacy of vaccines.
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Affiliation(s)
- Megan E Gregory
- Received August 24, 2021; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio (MEG, ASM); The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), College of Medicine, The Ohio State University, Columbus, Ohio (MEG, SRM, ARP, ASM); National Registry of Emergency Medical Technicians, Columbus, Ohio (JRP, JDK, ARP); Division of Epidemiology, The Ohio State University College of Public Health, Columbus, Ohio (JRP, ARP); Division of Biostatistics, The Ohio State University College of Public Health, Columbus, Ohio (EK); Department of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio (ARP); Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, Ohio (ASM). Revision received October 8, 2021; accepted for publication October 11, 2021
| | - Jonathan R Powell
- Received August 24, 2021; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio (MEG, ASM); The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), College of Medicine, The Ohio State University, Columbus, Ohio (MEG, SRM, ARP, ASM); National Registry of Emergency Medical Technicians, Columbus, Ohio (JRP, JDK, ARP); Division of Epidemiology, The Ohio State University College of Public Health, Columbus, Ohio (JRP, ARP); Division of Biostatistics, The Ohio State University College of Public Health, Columbus, Ohio (EK); Department of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio (ARP); Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, Ohio (ASM). Revision received October 8, 2021; accepted for publication October 11, 2021
| | - Sarah R MacEwan
- Received August 24, 2021; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio (MEG, ASM); The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), College of Medicine, The Ohio State University, Columbus, Ohio (MEG, SRM, ARP, ASM); National Registry of Emergency Medical Technicians, Columbus, Ohio (JRP, JDK, ARP); Division of Epidemiology, The Ohio State University College of Public Health, Columbus, Ohio (JRP, ARP); Division of Biostatistics, The Ohio State University College of Public Health, Columbus, Ohio (EK); Department of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio (ARP); Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, Ohio (ASM). Revision received October 8, 2021; accepted for publication October 11, 2021
| | - Jordan D Kurth
- Received August 24, 2021; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio (MEG, ASM); The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), College of Medicine, The Ohio State University, Columbus, Ohio (MEG, SRM, ARP, ASM); National Registry of Emergency Medical Technicians, Columbus, Ohio (JRP, JDK, ARP); Division of Epidemiology, The Ohio State University College of Public Health, Columbus, Ohio (JRP, ARP); Division of Biostatistics, The Ohio State University College of Public Health, Columbus, Ohio (EK); Department of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio (ARP); Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, Ohio (ASM). Revision received October 8, 2021; accepted for publication October 11, 2021
| | - Eben Kenah
- Received August 24, 2021; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio (MEG, ASM); The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), College of Medicine, The Ohio State University, Columbus, Ohio (MEG, SRM, ARP, ASM); National Registry of Emergency Medical Technicians, Columbus, Ohio (JRP, JDK, ARP); Division of Epidemiology, The Ohio State University College of Public Health, Columbus, Ohio (JRP, ARP); Division of Biostatistics, The Ohio State University College of Public Health, Columbus, Ohio (EK); Department of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio (ARP); Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, Ohio (ASM). Revision received October 8, 2021; accepted for publication October 11, 2021
| | - Ashish R Panchal
- Received August 24, 2021; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio (MEG, ASM); The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), College of Medicine, The Ohio State University, Columbus, Ohio (MEG, SRM, ARP, ASM); National Registry of Emergency Medical Technicians, Columbus, Ohio (JRP, JDK, ARP); Division of Epidemiology, The Ohio State University College of Public Health, Columbus, Ohio (JRP, ARP); Division of Biostatistics, The Ohio State University College of Public Health, Columbus, Ohio (EK); Department of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio (ARP); Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, Ohio (ASM). Revision received October 8, 2021; accepted for publication October 11, 2021
| | - Ann Scheck McAlearney
- Received August 24, 2021; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio (MEG, ASM); The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), College of Medicine, The Ohio State University, Columbus, Ohio (MEG, SRM, ARP, ASM); National Registry of Emergency Medical Technicians, Columbus, Ohio (JRP, JDK, ARP); Division of Epidemiology, The Ohio State University College of Public Health, Columbus, Ohio (JRP, ARP); Division of Biostatistics, The Ohio State University College of Public Health, Columbus, Ohio (EK); Department of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio (ARP); Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, Ohio (ASM). Revision received October 8, 2021; accepted for publication October 11, 2021
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Baig SA, Pepper JK, Morgan JC, Brewer NT. Social identity and support for counteracting tobacco company marketing that targets vulnerable populations. Soc Sci Med 2017; 182:136-141. [PMID: 28427731 DOI: 10.1016/j.socscimed.2017.03.052] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2016] [Revised: 12/01/2016] [Accepted: 03/24/2017] [Indexed: 11/28/2022]
Abstract
RATIONALE Tobacco companies use advertising to target vulnerable populations, including youth, racial/ethnic minorities, and sexual minorities. OBJECTIVE We sought to examine how personal identity affects support for population-specific anti-smoking advertisements that could serve as countermeasures to industry marketing practices. METHODS In 2014-2015, we surveyed probability phone samples of adults and adolescents (n = 6,139) and an online convenience sample of adults (n = 4,137) in the United States. We experimentally varied the description of tobacco industry marketing practices (no description, general, or specific to a target group). The four prevention target groups were teens; African Americans; Latinos; and gays, lesbians, and bisexuals (GLBs). Participants were either members or non-members of their prevention target group. RESULTS Support was highest for anti-smoking advertisements targeting teens, moderate for Latinos and African Americans, and lowest for GLBs. In-group members expressed higher support than out-group members when anti-smoking advertisements targeted African Americans, Latinos, and GLBs (all p < 0.05). However, when teens were the target prevention group, in-group members expressed lower support than out-group members (p < 0.05). The description of industry marketing practices did not have an effect. Results were similar across the phone and online studies. CONCLUSIONS Our findings suggest that the public strongly supports advertisements to prevent smoking among teens, but support for similar efforts among other vulnerable populations is comparatively low. Anti-smoking campaigns for vulnerable populations may benefit from a greater understanding of the role of social identity in shaping public support for such campaigns.
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Affiliation(s)
- Sabeeh A Baig
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, 325 Rosenau Hall, CB 7440, Chapel Hill, NC 27599, USA.
| | - Jessica K Pepper
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, 325 Rosenau Hall, CB 7440, Chapel Hill, NC 27599, USA; RTI International, 3040 E. Cornwallis Rd., Research Triangle Park, NC 27709, USA.
| | - Jennifer C Morgan
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, 325 Rosenau Hall, CB 7440, Chapel Hill, NC 27599, USA.
| | - Noel T Brewer
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, 325 Rosenau Hall, CB 7440, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, 101 Manning Dr, Chapel Hill, NC 27514, USA.
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