| Literature DB >> 35492506 |
Linda Vuong1, Julie T Bidwell1, Ester Carolina Apesoa-Varano1, Fawn A Cothran1, Sheryl L Catz2.
Abstract
Despite a national vaccination effort prioritizing frontline healthcare workers, COVID-19 vaccination rates among nurses have been lower than necessary to protect workforce and patient health. Historically, nurses have been more vaccine hesitant than other healthcare workers. To assess the vaccine attitudes and COVID-19 vaccine intent of California's registered nurses, we conducted a statewide cross-sectional survey among 603 licensed RNs working in direct patient care. Of 167 respondents (27.7%), 111 met inclusion criteria. Their mean score of 3.01 on a 6-point rating scale on the Vaccine Attitudes Examination scale measuring general vaccine hesitancy was comparable to previous findings among U.S. West Coast adults. Greater vaccine hesitancy was significantly associated with lower COVID-19 vaccine intent, after controlling for relevant confounders. Since nurses make up the largest portion of the healthcare workforce, it is crucial to specifically address this group's vaccine hesitancy.Entities:
Keywords: Acceptance; Coronavirus; Covid-19; Nurse; Survey; Vaccine hesitancy
Year: 2022 PMID: 35492506 PMCID: PMC9034834 DOI: 10.1016/j.jvacx.2022.100162
Source DB: PubMed Journal: Vaccine X ISSN: 2590-1362
Characteristics of study sample.
| Characteristic | ||
|---|---|---|
| Gender | ||
| Male | 18 (16.22) | |
| Female | 93 (83.8) | |
| Non-binary | 0 (0.0) | |
| Age (years) | ||
| 20–29 | 10 (9.0) | |
| 30–39 | 27 (24.3) | |
| 40–49 | 22 (19.8) | |
| 50–59 | 23 (20.7) | |
| 60–69 | 24 (21.6) | |
| ≥70 | 5 (4.5) | |
| Race/Ethnicity | ||
| Asian or Asian American | 28 (24.1) | |
| Black or African American | 6 (5.2) | |
| Native American, American Indian, or Alaska Native | 4 (3.5) | |
| Native Hawaiian or other Pacific Islander | 3 (2.6) | |
| Latino or Hispanic | 15 (12.9) | |
| White or Caucasian | 58 (50.0) | |
| Other | 2 (1.7) | |
| Presence of chronic conditions | ||
| Yes | 33 (30.6) | |
| No | 75 (69.4) | |
| Currently pregnant | ||
| Yes | 1 (0.9) | |
| No | 110 (99.1) | |
| Highest level of nursing education | ||
| Certificate or diploma | 1 (0.9) | |
| Associate's degree | 31 (27.9) | |
| Bachelor's degree | 54 (48.7) | |
| Master's degree | 23 (20.7) | |
| Doctoral degree | 2 (1.8) | |
| RN work experience (years) | ||
| ≤1 | 4 (3.6) | |
| 1–5 | 16 (14.4) | |
| 6–10 | 15(13.5) | |
| 11–15 | 20 (18.0) | |
| 16–20 | 12 (10.8) | |
| 21–25 | 7 (6.3) | |
| ≥25 | 37 (33.3) | |
| Region of Residence | ||
| Northern California | 3 (2.7) | |
| Greater Sacramento | 12 (10.8) | |
| Bay Area | 28 (25.2) | |
| San Joaquin Valley | 15 (13.5) | |
| Southern California | 53 (47.8) | |
| ≥65 Years Old Household Member | ||
| Yes | 37 (33.3) | |
| No | 74 (66.7) | |
| <18 Years Old Household Member | ||
| Yes | 39 (35.5) | |
| No | 71 (64.5) | |
| Primary place of RN employment | ||
| Rural | 8 (7.3) | |
| Suburban | 42 (38.5) | |
| Urban | 59 (54.1) | |
| Have you had or do you currently have COVID-19? | ||
| I have been tested. The result was positive. | 6 (5.5) | |
| I have been tested. The result was negative. | 47 (42.7) | |
| I have been tested. I do not know the result. | 1 (0.9) | |
| I have not been tested, but a healthcare professional has diagnosed me as having or probably having COVID-19. | 1 (0.9) | |
| I have not been tested or diagnosed, but I think I have been infected with COVID-19. | 2 (1.8) | |
| I have not been tested or diagnosed. I do not think I have been infected with COVID-19. | 53 (48.2) | |
| Whether or not you have been tested for or diagnosed with COVID-19, have you sought medical care for COVID-19? | ||
| Yes | 14 (12.7) | |
| No | 96 (87.3) | |
| Has somebody you live with tested positive for or been diagnosed with COVID-19? | ||
| Yes | 9 (8.2) | |
| No | 101 (91.8) | |
| At work, have you cared for a patient with COVID-19? | ||
| Yes | 69 (62.7) | |
| No | 41 (37.3) | |
Abbreviation: RN, registered nurse.
Numbers total greater than 111 because respondents could select all that apply.
Numbers total <111 because of missing data.
Regions as defined by the California Department of Public Health for COVID-19 monitoring and implementation of mitigation interventions.
No surveys were sent to Del Norte, Glenn, Lassen, Modoc, or Trinity Counties.
No surveys were sent to Alpine, Colusa, Plumas, or Sierra Counties.
No surveys were sent to Mariposa County.
No surveys were sent to Inyo or Mono Counties.
Correlation of Vaccine Hesitancy (Total and Item-Level Scores) with COVID-19 Vaccine Uptake Intent.
| Pearson's | |||
|---|---|---|---|
| Mean VAX score | −0.64 | <0.0001 | |
| Mean eVAX score | −0.67 | <0.0001 | |
| I feel safe after being vaccinated. | 82.9 (92/111) | −0.54 | <0.0001 |
| I can rely on vaccines to stop serious infectious diseases. | 85.5 (94/110 | −0.48 | <0.0001 |
| I feel protected after getting vaccinated. | 54.1 (60/111) | −0.55 | <0.0001 |
| Although most vaccines appear to be safe, there may be problems that we have not yet discovered. | 86.5 (96/111) | −0.09 | 0.36 |
| Vaccines can cause unforeseen problems in children. | 50.5 (56/111) | −0.22 | 0.02 |
| I worry about the unknown effects of vaccines in the future. | 68.5 (76/111) | −0.49 | <0.0001 |
| Vaccines make a lot of money for pharmaceutical companies, but do not do much for regular people. | 36.9 (41/111) | −0.43 | <0.0001 |
| Authorities promote vaccination for financial gain, not for people's health. | 30.9 (34/110 | −0.59 | <0.0001 |
| Vaccination programs are a big con. | 16.2 (18/111) | −0.5 | <0.0001 |
| Natural immunity lasts longer than a vaccination. | 54.1 (60/111) | −0.46 | <0.0001 |
| Natural exposure to viruses and germs gives the safest protection. | 47.7 (53/111) | −0.54 | <0.0001 |
| Being exposed to diseases naturally is safer for the immune system than being exposed through vaccination. | 30.6 (34/111) | −0.56 | <0.0001 |
| Authorities can be trusted to ensure new vaccines are safe. | 60.9 (67/110 | −0.59 | <0.0001 |
| A good diet and frequent exercise will prevent me from getting infections that vaccines are meant to protect against. | 35.1 (39/111) | −0.41 | <0.0001 |
| People are given too many vaccines. | 37.8 (42/111) | −0.54 | <0.0001 |
Abbreviations: VAX, vaccine attitudes examination; eVAX, expanded vaccine attitudes examination.
Reverse scored.
Ratings from slightly agree to strongly agree were categorized as endorsed.
Total number <111 because of missing data.
eVAX items.
Bonferroni-corrected significance level was set at P = 0.003.
Association Between Vaccine Hesitancy and COVID-19 Vaccine Intent: Multiple Linear Regression Model Adjusting for Potential Confounders.
| Variable | Beta (95% CI) | |
|---|---|---|
| Vaccine Hesitancy (eVAX) | −1.07 (−1.30 to −0.83) | <0.001 |
| Gender | ||
| Female | [Reference] | 0.851 |
| Male | −0.02 (−0.86 to 0.71) | |
| Underlying Chronic Condition | ||
| No | [Reference] | 0.393 |
| Yes | 0.07 (−0.35 to 0.88) | |
| Area of Employment | ||
| Urban | [Reference] | |
| Suburban | −0.07 (−0.83 to 0.36) | 0.429 |
| Rural | −0.16 (−2.45 to −0.02) | 0.047 |
| RN Work Experience | ||
| ≤10 years | [Reference] | 0.570 |
| >10 years | 0.05 (−0.46 to 0.83) | |
| ≥65 Years Old Household Member | ||
| No | [Reference] | 0.802 |
| Yes | 0.02 (−0.51 to 0.66) | |
| <18 Years Old Household Member | ||
| No | [Reference] | 0.796 |
| Yes | −0.02 (−0.63 to 0.48) | |
| Race/Ethnicity | ||
| White or Caucasian | [Reference] | |
| Asian or Asian American | 0.02 (−0.69 to 0.86) | 0.821 |
| Black or African American | −0.06 (−1.64 to 0.68) | 0.411 |
| Latinx or Hispanic | −0.09 (−1.41 to 0.46) | 0.316 |
| Other | −0.07 (−1.23 to 0.50) | 0.401 |
Abbreviations: eVAX, expanded vaccine attitudes examination; RN, registered nurse.
Includes Native American, American Indian, Alaska Native, Native Hawaiian, other Pacific Islander, and multiracial responses.