Highlights
- •COVID-19 booster uptake is a challenge among nurses.
- •Partisan self-identification is associated with booster uptake among nurses.
- •Targeted interventions are needed to increase booster uptake among nurses.
Background
Nurses are at the forefront of efforts to contain COVID-19 and are thus at greater risk of infection from the virus than the general population. Unlike the initial vaccination, booster vaccinations are not always required, and some nurses have not received a booster shot. We investigate the predictors of booster uptake among nurses.
Methods
We developed an original survey to study booster uptake among nurses. Using contact information from the South Dakota Board of Nursing, we contacted nurses in South Dakota in June and July of 2022. We conducted a multivariate logistic regression to analyze the data.
Results
One thousand eighty-four nurses participated in our study. We found booster uptake among nurses was associated with their partisan self-identification (OR 0.40, 95% CI 0.31-0.52), age (OR 1.04, 95% CI 1.02-1.05), flu vaccination last season (OR 5.61, 95% CI 2.6-12.1), and positive COVID-19 test in last 12 months (OR 0.51, 95% CI 0.35-0.74).
Discussion/Conclusions
Our results show that COVID-19 booster uptake has been politicized even among nurses. As public health officials continue devising interventions to increase booster uptake among healthcare workers, they should be mindful that they would be viewed through the partisan lens.
Key Words
Background
More than 2 years have passed since the World Health Organization declared the outbreak of COVID-19 a pandemic. Ever since then, nurses together with other healthcare workers (HCWs), have been on the frontline of efforts to curb the spread of the virus. The pandemic has taken a dangerous toll on nurses’ physical and mental health.
1
Given that they interact with and care for those infected with the virus, nurses are at greater risk of exposure and infection from COVID-19.2
As of November 2022, the overall number of healthcare personnel deaths in the United States since the start of the pandemic was 2,400.3
Evidence also exists that nurses experienced heightened stress and job burnout during the pandemic.CDC. COVID Data Tracker. Centers for Disease Control and Prevention; 2020. Accessed December 27, 2022. https://covid.cdc.gov/covid-data-tracker.
4
,5
In particular, female HCWs have been at risk for stress, burnout, and depression.6
Overall, the coronavirus pandemic imposed a tremendous burden on nurses.- Sriharan A.
- Ratnapalan S.
- Tricco A.C.
- et al.
Occupational stress, burnout, and depression in women in healthcare during COVID-19 pandemic: rapid scoping review.
Front Global Women’s Health. 2020; 1596690https://doi.org/10.3389/fgwh.2020.596690
Governments have introduced several measures to protect HCWs from the virus. When COVID-19 vaccines were first available, nurses and other HCWs were one of the first groups to gain access. In August 2021, The Biden administration announced a COVID-19 vaccine mandate for all HCWs. In South Dakota, Avera Health, Sanford Health, and Memorial Health – the state's largest healthcare providers– announced vaccine mandates for their employees. As vaccines offer protection only for a limited time, HCWs received priority access to booster doses of COVID-19 vaccines. While the research on their effectiveness is ongoing, several studies reported that boosters reduce the rate of disease as well as severe illness.
7
, 8
, 9
Nevertheless, despite their wide availability and evidence of high effectiveness, booster uptake has been a challenge not only among the general public (Agaku et al., 2022
10
; but also among HCWs (Frey et al., 2022; Koh et al., 202211
; A low booster uptake among nurses could threaten the health of both HCWs and their patients, many of whom are at high risk from COVID-19. Evidence exists that medical centers with vaccinated HCWs reported fewer breakthrough infections (Waldman et al., 2021), as well as fewer hospital admissions and COVID-19-related deaths (Cabezas et al., 2021).Lower COVID-19 booster uptake among nurses might have additional negative downstream consequences in society. Nurses serve as trusted health advisors and play an important role in guiding patients on a variety of health decisions, including vaccine uptake for themselves and their children,
12
,13
particularly during the coronavirus pandemic.14
Overall, lower booster uptake among nurses could affect booster vaccination decisions of the general population and lead to lower overall booster uptake in society.Our study investigates the predictors of booster uptake among nurses and contributes to the existing scholarship in 2 ways. First, most studies that examined attitudes toward COVID-19 boosters were based on surveys of the general population (Lai et al., 2021; Lounis et al., 2022; Yoshida et al., 2022). Moreover, these studies were conducted before booster doses were available to the general population and therefore could only capture attitudes toward a hypothetical booster vaccine.
Attitudes of HCWs toward boosters have been understudied. Preliminary findings suggest that older HCWs, male HCWs, and HCWs with higher education were more willing to receive a booster
15
; Pal et al., 2022.16
However, the samples included multiple types of HCWs and none were based on a survey of nurses. Moreover, these studies examined intentions of receiving a booster, not actual booster uptake. Our study adds to the scholarship by examining the predictors of booster uptake among nurses.Second, we examine the relationship between partisan self-identification and booster uptake among nurses. Vaccination has always been a sensitive issue in society. However, during the coronavirus pandemic, vaccination has become politicized to an unprecedented degree.
17
Vaccination has moved from being primarily a health decision, to what is largely a political decision. In the United States, a gap exists between self-identified Republicans and Democrats, with the former being less likely to adhere to mitigation guidelines and receive vaccination.18
,19
However, scholars studying booster attitudes among HCWs typically do not typically account for partisan self-identification (Frey et al., 2022.16
,20
We include partisan self-identification in our study to examine its impact on booster uptake among nurses.Methods
Data
Our data comes from a survey of nurses in South Dakota, United States. We purchased the membership file with the contact information of all 23,854 Registered Nurses, Certified Nurse Practitioners, and Licensed Practical Nurses from the South Dakota Board of Nursing. We extracted 20,980 valid email addresses and emailed each nurse an invitation to complete an online survey that was administered on the Questionpro survey platform. The survey software was configured to not allow duplicate responses. The survey was open from June 24 to July 9, 2022. In sum, we received 1,084 responses, yielding a response rate of 5.3%. Participants did not receive compensation for completing the survey. The survey was fielded by the authors and received approval from the IRB at [University name and IRB approval number redacted for peer review].
Measures
The outcome measure was whether or not participants received a COVID-19 booster vaccination (0 = “Received one dose of Johnson & Johnson OR 2 doses of Pfizer or Moderna” 1 = “Received a booster shot”). This measure was developed from a survey question asking about COVID-19 vaccination status (1 = “Not vaccinated,” 2 = “Received first dose of Pfizer or Moderna,” 3 = “Received one dose of Johnson & Johnson OR 2 doses of Pfizer or Moderna,” 4 = “Received a booster shot”). As the dependent variable was booster uptake, we kept only those participants who were eligible for a booster, and those who did not receive a vaccination or received one dose of Pfizer or Moderna were excluded from analysis.
Additionally, we asked respondents about age (in years), gender (0 = male, 1 = female), evangelical Christian identity (1 = evangelical, 0 = non-evangelical), influenza vaccination status (0 = no, 1 = yes), and having a positive COVID-19 test in the last year (0 = no, 1 = yes). Proportion of time in direct patient care (1 = 0% 2 = 1%-25% 3 = 26%-50% 4 = 51%-75% to 5 = 76%-100%), and partisan self-identification (1 = Democrat, 2 = independent, 3 = Republican) were treated as ordinal variables. Though partisan self-identification can be treated as a multinomial variable, it is generally treated as an ordinal variable in American political science and psychology research since respondents identifying as “independent” place themselves between the 2 major parties.
21
22
-23
Nursing credential was obtained from the membership file from the South Dakota Board of Nursing—Registered Nurse (0 = no, 1 = yes), Licensed Practical Nurse (0 = no, 1 = yes), and Certified Nurse Practicioner (0 = no, 1 = yes). It was treated as a multinomial variable with indicators for LPNs and CNPs, with RNs as the excluded reference category. We provide the full text of all questions in the appendix. The survey also included an attention check question, which 99.2% of participants answered correctly.
Analysis
We first presented descriptive statistics and compared our sample to the population of South Dakota nurses. We then estimated bivariate associations between booster uptake and all independent variables using logistic regressions. To control for the effects of other independent variables, we then presented the results of a multivariate logistic regression with the predictor variables that were associated with booster uptake in bivariate analysis. Odds ratios were estimated and presented with 95% confidence intervals. Missing data was handled by case-wise deletion in our modeling. We conducted all statistical analyses using Stata 17.
24
Results
We received 1,084 responses, including 980 completed responses. The average age of participants was 49 years; 91% identified as female and 9% male (all respondents identified as male or female). Regarding credentials, 82% were RNs, 9% LPNs, and 9% CNPs. Of our respondents, 89% were employed in nursing either full-time, part-time, or on a per diem basis, and 11% indicated that they were retired; 86% work in South Dakota and 14% worked in another state. Concerning COVID-19 vaccination status, 63% received a booster shot, 23% were fully vaccinated, 2% received one dose, and 11% were unvaccinated. We reported the full descriptive statistics of each variable used in Table 1.
Table 1Descriptive statistics
| Frequency | Percent | |||
|---|---|---|---|---|
| Vaccination status | ||||
| Not vaccinated | 111 | 11.19 | ||
| Partially vaccinated | 23 | 2.23 | ||
| Fully vaccinated | 231 | 23.29 | ||
| Fully vaccinated and boosted | 627 | 63.21 | ||
| Gender | ||||
| Female | 969 | 91.24 | ||
| Male | 93 | 8.76 | ||
| Percent of time with patients | ||||
| 0% | 110 | 12.70 | ||
| 1%-25% | 100 | 11.55 | ||
| 26%-50% | 62 | 7.16 | ||
| 51%-75% | 124 | 14.32 | ||
| 76%-100% | 470 | 54.27 | ||
| COVID in last 12 mo | ||||
| No | 653 | 66.09 | ||
| Yes | 335 | 33.91 | ||
| Flu shot in 2021-2022 season | ||||
| No | 114 | 11.63 | ||
| Yes | 866 | 88.37 | ||
| Evangelical identity | ||||
| No | 626 | 60.54 | ||
| Yes | 408 | 39.46 | ||
| Partisan self-identification | ||||
| Democrat | 239 | 24.09 | ||
| Independent | 311 | 31.35 | ||
| Republican | 442 | 44.56 | ||
| Nursing credential | ||||
| Licensed practical nurse | 101 | 9.32 | ||
| Registered nurse | 885 | 81.64 | ||
| Nurse practitioner | 98 | 9.04 | ||
| Mean | SD | Min. | Max. | |
| Age | 46.12 | 14.10 | 18 | 79 |
Table 2 compares our sample with population benchmarks reported by the South Dakota Board of Nursing. The table shows that our sample approximates the demographic characteristics of South Dakota nurses. More specifically, our sample closely resembles the age, ethnicity, and gender of South Dakota nurses. We can see small deviations between our sample and population benchmarks for work in South Dakota, work in nursing, and work full-time in nursing variables. Critically, these deviations are only present in our smaller samples of LPNs (n = 101) and CNPs (n = 98), and not in the larger sample of RNs (n = 885). Notwithstanding the small limitations, our sample enables us to study COVID-19 booster uptake among nurses.
Table 2Comparison of nurse sample to South Dakota benchmarks
| Registered nurses | Licensed practical nurses | Nurse practitioners | ||||
|---|---|---|---|---|---|---|
| Variable | Nurse survey (n = 885) | SD benchmark (n = 18,693) | Nurse survey (n = 101) | SD benchmark (n = 2,591) | Nurse survey (n = 98) | SD benchmark (n = 1,414) |
| Mean age | 49.4 | 44.6 | 48.5 | 43.7 | 47.4 | 44.4 |
| White | 97.6% | 92.2% | 91.1% | 89.7% | 94.9% | 93.0% |
| Female | 90.9% | 91.3% | 96.9% | 95.3% | 93.0% | 88.5% |
| Work in SD | 86.1% | 67.0% | 93.2% | 82.3% | 80.9% | 78.6% |
| Work in nursing | 83.6% | 83.9% | 82.6% | 89.9% | 83.1% | 97.7% |
| Work full-time in nursing | 66.3% | 67.6% | 65.2% | 72.8% | 66.3% | 85.9% |
| Master's degree | – | – | – | – | 81.3% | 79.4% |
Note: The table compares demographic characteristics of our sample of South Dakota nurses with state population benchmarks for nurses. State benchmarks were obtained from South Dakota Board of Nursing publicly available workforce data from 2020.
25
South Dakota Center for Nursing Workforce. South Dakota Nursing Workforce: 2021 Supply and Employment Characteristics. 2021. Accessed December 27, 2022. https://doh.sd.gov/documents/CNW2021NsgWFReport1.pdf.
The results of our binary logistic regressions are presented in Table 3. With an odds ratio of 0.303 (P < .001), partisan self-identification was strongly associated with booster uptake. The percentage change in the odds of booster uptake was -60.7% for each unit of change (ie, Democrat to independent, or independent to Republican). Age was also strongly associated with booster uptake (P < .001). With each additional year of age, the odds of booster uptake increased by 4.2%. Education was also significant in a bivariate test with an odds ratio of 1.195 and P-value of .035. Amongst the other variables, percent of time spent in patient care, having tested positive for COVID-19 in the last 12 months, and Evangelical identity were negatively associated with booster uptake at statistically significant levels; while receiving a flu shot was statistically significant in the positive direction. Gender and nursing credential were not significant.
Table 3Bivariate logistic regression results on booster uptake
| Odds ratio | P-value | [95% conf. | interval] | Pseudo r-sq | |
|---|---|---|---|---|---|
| Partisan self-identification | 0.393 | .000 | 0.314 | 0.491 | 0.0811 |
| Age | 1.042 | .000 | 1.030 | 1.054 | 0.0539 |
| Female | 1.080 | .774 | 0.636 | 1.835 | 0.0001 |
| Percent of time with patients | 0.869 | .014 | 0.777 | 0.971 | 0.0071 |
| COVID in last 12 mo | 0.431 | .000 | 0.314 | 0.590 | 0.0275 |
| Flu shot last season | 4.679 | .000 | 2.567 | 8.530 | 0.0262 |
| Evangelical | 0.623 | .003 | 0.457 | 0.851 | 0.0089 |
| Nurse practitioner | 1.137 | .634 | 0.670 | 1.930 | 0.0002 |
| Licensed practical nurse | 0.624 | .068 | 0.376 | 1.036 | 0.0332 |
The results of multivariate logistic regression are presented in Table 4. The estimates showed statistically significant relationships between partisan self-identification and age. The odds ratios changed very little, partisan self-identification was 0.399 and age was 1.038. Amongst the other independent variables, testing positive for COVID-19 and flu vaccination status were statistically significant, and generally mirrored the results in the bivariate analysis. Evangelical identity and percentage of time spent with patients were not independent predictors of booster uptake in the multivariable regression.
Table 4Multivariate logistic regression results of booster uptake
| Odds ratio | P-value | [95% conf. | interval] | |
|---|---|---|---|---|
| Partisan self-identification | 0.396 | .000 | 0.306 | 0.514 |
| Age | 1.040 | .000 | 1.024 | 1.055 |
| Percent of time with patients | 0.934 | .316 | 0.818 | 1.067 |
| COVID in last 12 mo | 0.487 | .000 | 0.336 | 0.706 |
| Flu shot last season | 5.843 | .000 | 2.707 | 12.611 |
| Evangelical | 0.821 | .304 | 0.564 | 1.195 |
| Constant | 1.297 | .699 | 0.347 | 4.855 |
| Pseudo r-square | 0.164 | |||
| Number of cases | 713 |
Discussion
Implications for research
In this study, we examined booster behavior among fully vaccinated nurses. With vaccine mandates in place for nurses, the primary division is between those who have received a booster and those who have not. Overall, we found that the factors that are associated with vaccine uptake in the general population are very similar to the factors associated with booster uptake among nurses.
Results of both bivariate and multivariate analyses showed that nurses who identify as Republicans are far less likely to receive a booster compared to those identifying with the Democratic Party and independents. Since the start of the pandemic, scholars showed the politicized nature of individual responses,
19
,26
such as compliance with stay-at-home orders or vaccination. The reluctance of Republicans toward COVID-19 vaccination could be due to a combination of fundamental psychological motivations that underpin political attitudes and messaging from political and media elites.27
Our findings indicate that nurses are also susceptible to these biases, which is in line with previous scholarship that showed Republicans,28
and Republican HCWs having lower booster uptake.29
,30
We also found that older nurses are more likely to have received a booster vaccination. The findings regarding age and COVID-19 vaccination status have been mixed and 2 plausible explanations exist. On the one hand, scholars reported that older adults,
19
older HCWs,15
and older nurses31
are more likely to be vaccinated. Older adults are at greater risk from COVID-19 and therefore are more likely to be vaccinated than younger adults. On the other hand, scholars found that younger HCWs are more likely to receive a COVID-19 vaccination.30
,32
Younger adults tend to be more politically liberal, which might explain a higher vaccination rate compared to older adults who tend to lean toward political conservatism. While this study cannot provide a definitive answer, our results support the former explanation.Previous studies showed that female nurses were more vaccine-hesitant than male nurses.
31
,33
,34
We did not find a statistically significant difference in booster uptake between male and female nurses in our sample. The difference might be due to the inclusion of partisan self-identification, which is a strong predictor of booster uptake in our study.We did not find a relationship between time spent in direct patient care and booster vaccine uptake. Findings in existing literature are mixed. Some studies reported a link between direct patient care and COVID-19 vaccination among HCWs,
35
,36
while others found no correlation (Parente et al., 2021). It is plausible that nurses interacting with patients are at greater risk of infection and more likely to receive a booster vaccination. On the other hand, risk perception can often be subjective, and nurses who believe they are not at risk from infection are less likely to seek additional vaccinations.Finally, we reported that those nurses who received a flu shot in the previous flu vaccination season are more likely to receive a booster. This finding is in line with existing studies that show a positive effect of previous vaccination history on COVID-19 vaccination intentions among HCWs
37
,- Do T.V.C.
- Kammili S.T.
- Reep M.
- Wisnieski L.
- Ganti S.
- Depa J.
COVID-19 vaccine acceptance among rural appalachian healthcare workers (Eastern Kentucky/West Virginia): a cross-sectional study.
Cureus. 2021; 13 (shyam)e16842https://doi.org/10.7759/cureus.16842
38
and among nurses.39
Implications for practice
The findings of our study should be of interest to public health officials and organizations. The presence of lower booster uptake among nurses and other HCWs might affect the ability to provide health care safely and effectively. Public health officials and administrators have sought to increase booster uptake among HCWs. The politicization of the pandemic, which is reflected in the differences in booster uptake among nurses identifying as Republican and Democrats, presents an added challenge for public health officials and administrators. Previously, public health officials and administrators might have assumed that such interventions would be assessed on their medical or public health merits. However, most COVID-19-related policy interventions are viewed through a partisan lens. In many respects, booster uptake is as much of a political decision as it is a health decision. Research suggests that even the interventions to mitigate the threat of COVID-19 to public health might not be able to overcome the political polarization currently existing in our society.
40
,41
Public health and social science experts have proposed a variety of creative interventions to bolster booster uptake,
42
but public health officials must also be mindful of the potential political ramifications. For example, while making booster uptake mandatory would likely increase uptake among nurses and other HCWs, administrators need to be mindful of the potential costs and negative repercussions such a policy would have due to the politicization of the pandemic. Overall, the results of our study show that the politicization of vaccination introduces another dimension that public health officials and administrators need to consider.- Böhm R.
- Betsch C.
- Litovsky Y.
- et al.
Crowdsourcing interventions to promote uptake of COVID-19 booster vaccines.
EClinical Medicine. 2022; 53101632https://doi.org/10.1016/j.eclinm.2022.101632
Limitations
Our results are based on a probability sample of nurses who are registered with the South Dakota Board of Nursing. We included RNs, LPNs, and CNPs, which are the 3 largest groups, but we did not include registered nurse anesthetists and licensed clinical nurse specialists. Therefore, the results could differ from a broader sample of all nursing credentials. Nevertheless, we do not see how this could bias the overall findings, given that our results revealed very few distinctions between the different types of credentials. Due to our sampling method, we were not able to contact those nurses who work in South Dakota but are registered elsewhere. Moreover, the invitation letter was sent via email, and we were, therefore, unable to contact 10% of nurses who did not provide their email addresses to the Board of Nursing.
Additionally, we collected the data in June and July of 2022 when COVID-19 cases were relatively low in South Dakota, thus the perceived risks of COVID-19 may have suppressed recent booster uptake. The data also comes from one state, which is more rural, white, socially and politically conservative, as well as having lower vaccination rates compared to the national average, which might limit the generalizability of our findings. While our results are consistent with the existing scholarship, the results could differ from a nationally representative sample. Yet, this propensity might make South Dakota a good “least likely” case to study booster uptake.
Finally, as with most studies exploring attitudes toward COVID-19 vaccines, our data is based on participants’ self-reports. Due to concerns about social desirability bias, some unvaccinated participants might have reported that they received a COVID-19 vaccination. Nevertheless, we do not expect this issue to affect our study. South Dakota has a COVID-19 vaccination rate that is lower than the national average and being unvaccinated carries less of a social stigma compared to other states; in fact, over 11% of our participants indicated being unvaccinated, which indicates strong vaccine hesitancy amongst South Dakota nurses despite the national mandate.
Appendix. SUPPLEMENTARY MATERIALS
References
- Nurses’ barriers to caring for patients with COVID-19: a qualitative systematic review.Int Nurs Rev. 2021; 68: 202-213
- Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study.Lancet Public Health. 2020; 5: e475-e483
CDC. COVID Data Tracker. Centers for Disease Control and Prevention; 2020. Accessed December 27, 2022. https://covid.cdc.gov/covid-data-tracker.
- Nurses’ burnout and associated risk factors during the COVID-19 pandemic: a systematic review and meta-analysis.J Adv Nurs. 2021; 77: 3286-3302
- Determination of stress, depression and burnout levels of front-line nurses during the COVID-19 pandemic.Int J Ment Health Nurs. 2021; 30: 533-543
- Occupational stress, burnout, and depression in women in healthcare during COVID-19 pandemic: rapid scoping review.Front Global Women’s Health. 2020; 1596690https://doi.org/10.3389/fgwh.2020.596690
- Protection of BNT162b2 vaccine booster against Covid-19 in Israel.N Engl J Med. 2021; 385: 1393-1400
- Real-World effectiveness of a booster dose of the COVID-19 vaccines among Japanese University Students.Vaccines. 2022; 10: 1283https://doi.org/10.3390/vaccines10081283
- The beneficial effect of the COVID-19 vaccine booster dose among healthcare workers in an infectious diseases center.Vaccines. 2022; 10: 552
- Willingness, refusal and influential factors of parents to vaccinate their children against the COVID-19: a systematic review and meta-analysis.Prev Med. 2022; 157106994
- Uptake of COVID-19 booster shot among healthcare workers: a mediation analysis approach.Front Public Health. 2022; : 10
- Collaborative patient-provider communication and uptake of adolescent vaccines.Soc Sci Med. 2016; 159: 100-107
- Pregnant women's intention to take up a post-partum pertussis vaccine, and their willingness to take up the vaccine while pregnant: a cross sectional survey.Vaccine. 2013; 31: 3972-3978
- Primary care clinicians as COVID-19 vaccine ambassadors.J Prim Care Community Health. 2021; 12: 1-14
- COVID-19 vaccine booster hesitancy (VBH) of healthcare workers in Czechia: National Cross-Sectional Study.Vaccines. 2021; 9: 1437
- Perception of COVID-19 booster dose vaccine among healthcare workers in India and Saudi Arabia.Int J Environ Res Public Health. 2022; 19: 8942
- Uncoupling vaccination from politics: a call to action.Lancet North Am Ed. 2021; 398: 1211-1212
- Partisan and other gaps in support for COVID-19 mitigation strategies require substantial attention.Am J Public Health. 2021; 111: 765-767
- Trust in physicians and trust in government predict COVID-19 vaccine uptake.Soc Sci Q. 2022; 103: 509-520
- COVID-19 vaccine hesitancy and attitude toward booster doses among US healthcare workers.Vaccines. 2021; 9: 1358
- Republicans, not democrats, are more likely to endorse anti-vaccine misinformation.Am Polit Res. 2021; 49: 428-438
- Politics of COVID-19 vaccine mandates: left/right-wing authoritarianism, social dominance orientation, and libertarianism.Pers Individ Dif. 2022; 194111661
- Political partisanship and trust in government predict popular support for COVID-19 vaccine mandates for various professions and demographic groups: a research note.Am Polit Res. 2022; (Forthcoming)
- Stata Statistical Software: Release 17.StataCorp LLC, 2021
South Dakota Center for Nursing Workforce. South Dakota Nursing Workforce: 2021 Supply and Employment Characteristics. 2021. Accessed December 27, 2022. https://doh.sd.gov/documents/CNW2021NsgWFReport1.pdf.
- Political polarization on COVID-19 pandemic response in the United States.Pers Individ Dif. 2021; 179110892
- Liberals and conservatives rely on different sets of moral foundations.J Pers Soc Psychol. 2009; 96: 1029
- COVID-19 booster vaccination hesitancy in the United States: a multi-theory-model (MTM)-based national assessment.Vaccines. 2022; 10: 758
- COVID-19 vaccination hesitancy among healthcare workers—a review.Vaccines. 2022; 10: 948
- COVID-19 vaccination hesitancy among health care workers, communication, and policy-making.Am J Infect Control. 2022; 50: 20-25
Grafova, I. B., Pogorzelska-Maziarz, M., Johansen, M. L., Manning, M. L., Crincoli, S., de Cordova, P. B. (2022). Racial and ethnic differences in vaccine hesitancy among registered nurses in New Jersey: a cross-sectional survey. Am J Infect Control, 50, 572–574.
- COVID-19 vaccine acceptance among health care workers in the United States.Vaccines. 2021; 9: 119
- Coronavirus disease 2019 (COVID-19) vaccine hesitancy among physicians, physician assistants, nurse practitioners, and nurses in two academic hospitals in Philadelphia.Infect Control Hosp Epidemio. 2022; 43: 1424-1432
- COVID-19 vaccine refusal among nurses worldwide: review of trends and predictors.Vaccines. 2022; 10: 230
- Factors associated with COVID-19 vaccine receipt by health care personnel at a major academic hospital during the first months of vaccine availability.JAMA Netw Open. 2021; 4e2136582
- Attitudes of healthcare personnel towards vaccinations before and during the COVID-19 pandemic.Int J Environ Res Public Health. 2021; 18: 2703
- COVID-19 vaccine acceptance among rural appalachian healthcare workers (Eastern Kentucky/West Virginia): a cross-sectional study.Cureus. 2021; 13 (shyam)e16842https://doi.org/10.7759/cureus.16842
- COVID-19 vaccination: status and willingness to be vaccinated among employees in health and welfare care in Germany.Int J Environ Res Public Health. 2021; 18: 6688
- Intention to be vaccinated for COVID-19 among Italian Nurses during the Pandemic.Vaccines. 2021; 9: 500
- Politicizing mask-wearing: predicting the success of behavioral interventions among republicans and democrats in the U.S.Sci Rep. 2022; 12: 7575
- Persuading republicans and democrats to comply with mask wearing: an intervention tournament.J Exp Soc Psychol. 2022; 101104299
- Crowdsourcing interventions to promote uptake of COVID-19 booster vaccines.EClinical Medicine. 2022; 53101632https://doi.org/10.1016/j.eclinm.2022.101632
Article info
Publication history
Published online: November 22, 2022
Publication stage
In Press Journal Pre-ProofFootnotes
Funding: This work was supported by South Dakota State University.
Ethics approval: This study received approval from South Dakota State University's research compliance officer.
Consent to participate: All participants consented to participate in our study.
Conflicts of Interest: The authors declare no relevant conflicts of interest or financial relationships.
Identification
Copyright
© 2022 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
