Literature DB >> 34104472

COVID-19 vaccination willingness among people with multiple sclerosis.

Xinran M Xiang1, Chris Hollen1, Qian Yang2, Barbara H Brumbach2, Rebecca I Spain1, Lindsey Wooliscroft1.   

Abstract

BACKGROUND: Hesitancy to receive COVID-19 vaccination is a major public health concern. COVID-19 vaccine willingness and the factors contributing to willingness in adults with multiple sclerosis (MS) is unknown. We administered an online survey from 1 December 2020 to 7 January 2021 to adults with MS to estimate COVID-19 vaccine willingness among adults with MS. Bivariate analysis with chi-square testing compared categorical variables associated with vaccine willingness.
RESULTS: Of 401 respondents, 70.1% were willing to receive an authorized COVID-19 vaccination if it was available to them, 22.7% were unsure, and 7.2% were unwilling. The most frequent concern for those unsure was vaccine safety. Vaccine willingness was associated with increased perceived personal risk of COVID-19 (χ2 = 45.4; p < 0.0001), prior influenza vaccine acceptance (χ2 = 97.6; p < 0.0001), higher educational level (χ2 = 50.2; p < 0.0001), and if respondents discussed or planned to discuss the COVID-19 vaccine with their neurologists (χ2 = 64.3; p < 0.0001).
CONCLUSION: While COVID-19 vaccination willingness is high among people with MS, nearly 30% were either unwilling or unsure about being vaccinated. Neurologists should be aware of patient-centered factors associated with COVID-19 vaccine willingness and address COVID-19 vaccine safety concerns in discussions with their vaccine-unsure MS patients.
© The Author(s) 2021.

Entities:  

Keywords:  COVID-19; Multiple sclerosis; vaccine acceptance; vaccine hesitancy; vaccine readiness; vaccine willingness

Year:  2021        PMID: 34104472      PMCID: PMC8172949          DOI: 10.1177/20552173211017159

Source DB:  PubMed          Journal:  Mult Scler J Exp Transl Clin        ISSN: 2055-2173


Introduction

Uncontrolled spread of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is causing significant morbidity and mortality as well as substantial psychological and economic costs worldwide. Case series and MS registries indicate that older people with multiple sclerosis (MS), particularly those with progressive disease and greater disability, are at increased risk of COVID-19 complications.[2-4] Widespread COVID-19 vaccination will directly protect immunized individuals and likely indirectly protect the whole community by slowing virus transmission. Because it is unknown how many people with MS were included in the Pfizer-BioNTech and Moderna vaccine clinical trials, and people taking immunosuppressive agents were specifically excluded, safety of the vaccines in the MS population is unknown. However, based on a low theoretical risk and the high potential benefit of vaccination, a panel convened by the National MS Society strongly recommended that those with MS receive the COVID-19 vaccine. One obstacle to widespread COVID-19 vaccination is vaccine hesitancy, defined as “delay in acceptance or refusal of vaccination despite availability”. Vaccine hesitancy is a behavior influenced by a range of variables, such as knowledge, past experience, and perceived risks of vaccination. Common concerns associated with vaccine hesitancy encompass a broad spectrum, including skepticism about vaccine safety, vaccine effectiveness, discomfort with vaccine policies, and those who do not perceive infection as a considerable risk. Identifying the most salient concerns of those within this spectrum who may become more willing to accept the vaccine after additional counseling may be helpful. People with MS may specifically be concerned about effects of a vaccine because of the immune-mediated nature of MS and the immune-modulating to immunosuppressive nature of MS treatments. Therefore, assessing vaccine willingness and understanding sources of vaccine hesitancy in people with MS will help MS providers more effectively approach patients to encourage COVID-19 vaccination while respecting patient autonomy. The objectives of our study are to estimate COVID-19 vaccine willingness among adults with MS and explore the factors associated with willingness to be vaccinated against COVID-19.

Materials and methods

Study design, setting, and respondents

This was a single center, observational, cross-sectional study. The study was approved by the Oregon Health & Science University (OHSU) Institutional Review Board. We recruited respondents through a link posted on the National MS Society (NMSS) website, an e-mail sent to a list-serve for NMSS support groups in Oregon and Southwest Washington, and at the OHSU MS Center. In addition, patients of the OHSU MS Center with a diagnosis of MS seen within the last two years were sent a link to the survey through their electronic health record. Consented respondents were included in analyses if they were adults with a self-reported diagnosis of MS.

The survey

Between 1 December 2020 and 7 January 2021, respondents completed electronic surveys through REDCap, an online platform designed for electronic data capture. Respondents given the link to the survey were directed to fill in responses directly into REDCap, either by themselves or with assistance. The primary outcome for the survey was vaccine willingness, assessed by the question: “Would you be willing to get vaccinated against COVID-19 if a vaccine was available for you?” Possible responses included: “Yes, I would be willing to be vaccinated against COVID-19,” “No, I would not be willing to get vaccinated against COVID-19,” and “I am unsure if I would be willing to get vaccinated against COVID-19.” The respondent then selected up to 3 of the most important reasons influencing their vaccine willingness, including an “Other” which allowed a write-in response. The answer choices for this question were specific for COVID-19 and based on the vaccine hesitancy determinants matrix developed for the World Health Organization (Supplementary Table 1).[6,9] Write-in responses were recategorized by the investigators, if appropriate. The survey also queried demographics (sex, gender, race, ethnicity, education, household income, zip code, and health insurance); MS characteristics (subtype, duration); prior declined vaccines in adulthood; frequency of visits with their primary care provider; prior discussion or plans to discuss the COVID-19 vaccine with their neurologist; personal and/or social network history of COVID-19 infection, complications, and/or death; self-perceived risk for contracting COVID-19; home and work exposure risks; and social distancing practices. MS disease severity was captured in self-reported disability category scale correlating with the Expanded Disability Status Scale (r = 0.85). Additionally, we captured and categorized disease modifying therapies (DMT) as “high efficacy” (B-cell therapies, alemtuzumab, cladribine, or natalizumab) or “low efficacy” (glatiramer acetate, interferons, sphingosine 1-phosphate receptor modulators, dimethyl fumarate and other biosimilars). Finally, we inquired about the presence of medical co-morbidities that could increase the risk of COVID-19 complications, including: hypertension, pre-diabetes/diabetes, heart disease, heart failure, stroke, asthma, emphysema, kidney and liver disease, cancer, humman immunodeficiency virus (HIV), obesity, sickle cell disease, prior solid organ or bone marrow transplant, immune deficiences, cystic fibrosis, and/or thalassemia. The complete survey is included in Supplemental Materials.

Statistical methods

We reported demographics, disease characteristics, and key survey responses with descriptive statistics (mean or median and standard deviation for continuous variables and percentage for categorical variables). Respondents who completed the survey but who did not have a diagnosis of MS were excluded from statistical analysis. Our primary outcome variable, COVID-19 vaccine willingness, is a categorical variable measured at three levels (yes, no, unsure). Consequently, chi-square analyses were chosen to test associations between three levels of vaccine willingness and categorical predictor variables. We selected comparisons between outcome and predictor variables that were hypothesized to be the most important as they related to this specific population. These variables included formal education level, age, sex, presence of a high risk co-morbidity for severe COVID-19, disability, MS duration, MS subtype, current DMT use, personal concern for getting COVID-19, personal history of suspected or confirmed COVID-19, personally knowing someone who had COVID-19 or was hospitalized for COVID-19, if MS increased the respondent’s concerns about COVID-19 infection, social distancing practices, discussion or plan to discuss COVID-19 vaccine with their MS doctor; prior acceptance of the influenza vaccine, employment location, and employment status. A p-value of 0.05 or lower was considered statistically significant. No alpha adjustments were made since these analyses were exploratory. Statistical analysis was conducted using STATA16.

Results

Survey invitations were sent to 31 NMSS group leaders who covered 24 NMSS groups in Oregon and 1920 people were sent an invitation to participate in the survey through their electronic medical record; 477 people opened the REDCap link and 86% of these (n = 410) completed the survey. Of these 410 respondents, 9 did not report a diagnosis of MS and were therefore excluded. Overall, 401 respondents were included in the statistical analysis. The majority of survey respondents were white (87.6%), female (76.1%), and college educated (64%; Table 1). Their median age was 51 years, and 17.8% were age 65 or older. Most respondents had relapsing MS (70.7%), and 22.2% had “none/minimal” disability, 29.5% had mild disability, and 21% had moderate disability. At the time of the survey, 110 respondents (27.8%) were not taking a DMT. The most common DMTs reported were ocrelizumab/rituximab (26.4%), dimethyl fumarate/diroximel fumarate (16.1%), and glatiramer acetate (8.3%). Overall, 157 (40.1%) were taking a low efficacy DMT, and 126 (32.1%) were taking a high efficacy DMT. The median annual income was $50,000–100,000 and nearly all respondents had health insurance (99.2%); 44.4% of respondents were working, and 38.4% were working outside the home at least 50% of the time.
Table 1.

Demographic and clinical characteristics of survey respondents (N = 401).

Survey respondents N (%)
Age, years, median (range), mean (sd)51 (18–84), 51.1 (13.5)
 18–49176 (43.8%)
 50–64142 (35.4%)
 >6573 (18.2%)
 Missing10 (2.5%)
Biological sex at birth
 Female312 (77.8%)
 Missing1 (0.25%)
Race
 American Indian or Alaska Native4 (1.0%)
 Asian3 (0.7%)
 Black or African American6 (1.5%)
 Native Hawaiian or other Pacific Islander1 (0.2%)
 White359 (89.5%)
 More than one race16 (4.0%)
 Unknown, would prefer not to say or missing12 (3.0%)
Ethnicity
 Hispanic or Latino21 (5.2%)
 Not Hispanic/Latino354 (88.3%)
 Unknown or missing26 (6.5%)
Education
 High school diploma or less25 (6.2%)
 Some college111 (27.7%)
 Bachelor’s degree116 (28.9%)
 Some graduate school or more136 (33.9%)
 Missing13 (3.2%)
Employment location (N = 182)
 Inside the home all or most of the time112 (61.5%)
 Outside the home half of the time or more70 (38.5%)
Income
 < $25,00043 (10.7%)
 $25,000–49,99961 (15.2%)
 $50,000–99,999118 (29.4%)
 $100,000 or more161 (40.1%)
 Missing18 (4.4%)
State of residence
 Oregon304 (75.8%)
 Washington43 (10.7%)
 California8 (2.0%)
 Othera39 (9.7%)
 Missing7 (1.74%)
Has health insurance396 (99.2%)
Multiple sclerosis subtype
 Relapsing remitting290 (72.3%)
 Primary progressive30 (7.5%)
 Secondary progressive52 (13.0%)
 Not sure29 (7.2%)
Disability
 None/Minimal91 (22.7%)
 Mild121(30.1%)
 Moderate86 (21.4%)
 Some support needed for walking60 (14.9%)
 Walker/two-handed crutch29 (7.2%)
 Wheelchair-bound12 (2.9%)
 Bed-bound2 (0.5%)
DMTb
 No DMT110 (27.8%)
 Low efficacy DMT157 (40.1%)
 High efficacy DMT126 (32.1%)
Medical co-morbidities
 0179 (44.6%)
 1 or more222 (55.4%)

aFour or fewer respondents each from ID, TX, OK, KS, TN, DC, NV, MI, SC, CO, UT, KY, NY, GA, IL, MT, AZ.

bDMT was categorized as “low efficacy” (glatiramer acetate, interferons, sphingosine 1-phosphate receptor modulators, dimethyl fumarate and other biosimilars) or “high efficacy” (B-cell therapies, alemtuzumab, cladribine, or natalizumab).

Demographic and clinical characteristics of survey respondents (N = 401). aFour or fewer respondents each from ID, TX, OK, KS, TN, DC, NV, MI, SC, CO, UT, KY, NY, GA, IL, MT, AZ. bDMT was categorized as “low efficacy” (glatiramer acetate, interferons, sphingosine 1-phosphate receptor modulators, dimethyl fumarate and other biosimilars) or “high efficacy” (B-cell therapies, alemtuzumab, cladribine, or natalizumab).

COVID-19 exposure, practices, and beliefs

A minority of respondents (37, 9.3%) reported a history of confirmed or suspected COVID-19 infection, and 2 (5.4%) required hospitalization (Table 2). None required admission to the intensive care unit (ICU). Almost 30% of respondents knew someone who had been hospitalized for COVID-19, and 18.5% knew someone who had passed away from COVID-19.
Table 2.

COVID-19 exposure, practices, and beliefs.

Survey respondents N (%)
How concerned are you that you will personally get COVID-19? (N = 400)
 Not at all concerned26 (6.5%)
 Slightly concerned76 (19.0%)
 Somewhat concerned128 (31.9%)
 Moderately concerned128 (31.9%)
 Extremely concerned50 (12.5%)
How concerned are you that you will require hospitalization, have severe complications, or die from COVID-19? (N = 400)
 Not at all concerned43 (10.8%)
 Slightly concerned77 (19.3%)
 Somewhat concerned101 (25.3%)
 Moderately concerned91 (22.8%)
 Extremely concerned88 (22.0%)
Have you ever personally tested positive or has a physician suspected you were positive for COVID-19? (N = 399)
 Yes37 (9.3%)
 No362 (90.7%)
If you have tested positive, did you require hospitalization for COVID-19? (N = 37)
 Yes2 (5.4%)
 No35 (94.6%)
Do you personally know anyone who has tested positive or was suspected to be positive for COVID-19? (N = 399)
 Yes280 (70.2%)
 No119 (29.8%)
Do you personally know anyone who has been hospitalized for confirmed or suspected COVID-19? (N = 400)
 Yes118 (29.5%)
 No282 (70.5%)
Do you personally know anyone who passed away from confirmed or suspected COVID-19?
 Yes74 (18.5%)
 No327 (81.5%)
Which of the following best describes your current social behavior
 I am not going to public places and only socialize virtually with family or friends.175 (43.6%)
 I am not going to public places, but I am socializing with family or friends in my, or their, home115 (28.7%)
 I am only socializing in public places if I can maintain a distance of six-feet from other people.78 (19.5%)
 I am continuing to socialize in public places, but less than before26 (6.5%)
 I am continuing to socialize in public places7 (1.7%)
How does your MS affect your concerns about COVID-19?
 I’m a lot more worried about COVID-19 because of my MS123 (30.7%)
 I’m a little more worried about COVID-19 because of my MS187 (46.6%)
 My worries about COVID-19 are not affected by my MS79 (19.7%)
 I’m a little less worried about COVID-19 because of my MS6 (1.5%)
 I’m a lot less worried about COVID-19 because of my MS6 (1.5%)
COVID-19 exposure, practices, and beliefs. Respondents were somewhat (31.9%), moderately (31.9%), or extremely (12.5%) worried about personally contracting COVID-19, and 70.1% were at least somewhat concerned about having severe complications if they were to contract COVID-19. The majority of respondents were either lot more (30.7%) or a little more (46.6%) worried about COVID-19 because of their MS, whereas only 19.7% reported their worries about COVID-19 were not affected by their MS. The largest proportion (43.6%) of respondents were not going to public places and only socializing virtually with family or friends who live outside their homes, and 28.7% reported there were not going to public places but are socializing with family/friends in either of their homes. Eighty-nine percent of respondents reported their vaccine practices and beliefs had not changed because of COVID-19, whereas 9.0% were more likely to receive a vaccine than before COVID-19. The remaining 2.2% were less likely to receive a vaccine.

COVID-19 vaccination willingness

Most respondents (70.1%, n = 281) were willing to receive the COVID-19 vaccine if it were available to them (Table 3). The most common reasons cited were to protect themselves (77.6%) and their loved ones (58.7%) from getting COVID-19, and to decrease risk of serious illness (53.4%) (Table 3). A minority of respondents (7.2%, n = 29) were not willing to receive the vaccine, primarily due to concerns that the vaccine was developed too rapidly and that there may be potential side effects of the vaccine (both 55.2%). Over 22% of respondents (n = 91) were unsure if they would be willing to receive the vaccine. The majority of these respondents (57.1%) wanted more evidence to prove the vaccine’s safety. The unsure respondents also expressed concerns that political pressures rushed the vaccine trials (37.4%) and thought that the general population should be vaccinated before people with MS due to concerns about safety of the vaccine for people with MS (29.7%).
Table 3.

COVID-19 vaccination willingness.

Would you be willing to get vaccinated against COVID-19?N = 401Most common reasons selectedN (%)
 Yes281 (70.1%)To protect myself from getting COVID-19218 (77.6%)
To protect my loved ones from getting COVID-19165 (58.7%)
To decrease the chance of getting seriously ill from COVID-19150 (53.4%)
 No29 (7.2%)I’m concerned that the vaccine was developed too rapidly16 (55.2%)
I’m concerned about potential side effects16 (55.2%)
I think the vaccine may have been rushed and would like more evidence to prove it is safe13 (44.8%)
 Unsure91 (22.7%)I would like it to be proven safe on a large-scale, population level to prove it is safe before I take it52 (57.1%)
I think political pressure rushed the vaccine trials and it should be tested more thoroughly to prove it is safe34 (37.4%)
I think that people without MS should get the vaccine before people with MS due to concerns about safety for people with MS27 (29.7%)
COVID-19 vaccination willingness.

Variables associated with willingness to receive a COVID-19 vaccine

We assessed demographic, exposure, practice, and belief variables that were hypothesized to be the most important as they related to this specific population with COVID-19 vaccine willingness (three levels) using chi-square tests. COVID-19 vaccine willingness was significantly associated with the following: higher personal concern for getting COVID-19 (χ2 = 45.4, p < 0.0001); if MS increased the respondent’s concerns about COVID-19 infection (χ2 = 28, p < 0.0001); more cautious social distancing practices (χ2 = 55.6, p < 0.0001); discussion or plan to discuss COVID-19 vaccine with their MS doctor (χ2 = 64.3, p < 0.0001); prior acceptance of the influenza vaccine (χ2 = 97.6, p < 0.0001); current use of any DMT (χ2 = 8.8, p = 0.01), and higher levels of formal education (χ2 = 50.2, p < 0.0001, Table 4). See Figure 1 for graphical representation of these results. The variables that were not associated with COVID-19 vaccine willingness are summarized in Table 5. These variables included age, disability, type of MS, presence of medical co-morbidities, working outside the home ≥50% of time, personal history of COVID-19, and high efficacy vs low efficacy DMT use.
Table 4.

Variables associated with COVID-19 vaccine willingness.

Variables associated with COVID-19 vaccine willingnessNot willingUnsureWillingχ² p
How concerned are you that you will personally get COVID-19?45.4<0.0001
 Not at all concerned10 (38.5%)5 (19.2%)11 (42.3%)
 Slightly concerned7 (9.2%)17 (22.4%)52 (68.4%)
 Somewhat concerned8 (6.3%)30 (23.4%)90 (70.3%)
 Moderately concerned4 (3.3%)28 (23.3%)88 (73.3%)
 Extremely concerned0 (0%)11 (22%)39 (78.0%)
How does your MS affect your concerns about COVID-19?28.0<0.0001
 I’m a lot more worried about COVID-19 because of my MS5 (4.1%)33 (26.8%)85 (69.1%)
 I’m a little more worried about COVID-19 because of my MS8 (4.3%)38 (20.3%)141 (75.4%)
 My worries about COVID-19 are not affected by my MS14 (17.7%)17 (21.5%)48 (60.8%)
 I’m a little less worried about COVID-19 because of my MS0 (0%)3 (50.0%)3 (50.0%)
 I’m a lot less worried about COVID-19 because of my MS2 (33.3%)1 (16.7%)3 (50.0%)
Which of the following best describes your current social behavior55.6<0.0001
 I am not going to public places and only socialize virtually with family or friends.6 (3.4%)31 (17.7%)138 (78.9%)
 I am not going to public places, but I am socializing with family or friends in my, or their, home4 (3.5%)31 (27.0%)80 (69.6%)
 I am only socializing in public places if I can maintain a distance of 6-feet from other people.9 (11.5%)18 (23.1%)51 (65.4%)
 I am continuing to socialize in public places, but less than before6 (23.1%)10 (38.5%)10 (38.5%)
 I am continuing to socialize in public places4 (57.1%)2 (28.6%)1 (14.3%)
Have you or do you plan to talk with your MS doctor about vaccine?64.3<0.0001
 Yes8 (2.4%)77 (23.4%)244 (74.2%)
 No21 (29.6%)14 (19.7%)36 (50.7%)
Current DMT use8.80.01
 Yes13 (4.6%)64 (22.6%)206 (72.8%)
 No14 (12.8%)26 (23.9%)69 (63.3%)
What describes your experience with the influenza vaccine?97.6<0.0001
 I get the influenza vaccine every year3 (1.1%)51 (19.1%)213 (79.8%)
 I get the influenza vaccine some years, but not all6 (7.9%)20 (26.3%)50 (65.8%)
 I do not get the influenza vaccine20 (35.1%)20 (35.1%)17 (29.8%)
Education50.2<0.0001
 High school diploma or less7 (28.0%)11 (44.0%)7 (28%)
 Some college14 (12.6%)31 (27.9%)66 (59.5%)
 Bachelor’s degree3 (2.6%)28 (24.1%)85 (73.3%)
 Some graduate school or more3 (2.2%)20 (14.7%)113 (83.1%)
Figure 1.

Graphical representation of six of the variables found to be significantly associated with COVID-19 vaccine willingness: higher personal concern for getting COVID-19 (χ2 = 45.4, p < 0.0001); if MS increased the respondent’s concerns about COVID-19 infection (χ2 = 28, p < 0.0001); more cautious social distancing practices (χ2 = 55.6, p < 0.0001); discussion or plan to discuss COVID-19 vaccine with their MS doctor (χ2 = 64.3, p < 0.0001), current use of any DMT (χ2 = 8.8, p = 0.01), and prior acceptance of the influenza vaccine (χ2 = 97.6, p < 0.0001).

Table 5.

Variables not associated with COVID-19 vaccine willingness.

Variables not associated with COVID-19 vaccine willingnessChi-square p
Current DMT use (high efficacy vs low efficacy)9.10.06
Do you personally know anyone who has been hospitalized for confirmed or suspected COVID-19?4.80.09
Have you ever personally tested positive or has a physician suspected you were positive for COVID-19?3.20.20
Do you personally know anyone who has tested positive or was suspected to be positive for COVID-19?2.70.25
Disability (none/minimum, mild, moderate, some support needed for walking, walker/two-handed crutch, wheelchair-bound, bed-bound)6.50.887
Age (>65, 50-64, 18-49)3.60.458
Sex2.00.363
Presence of a high risk co-morbidity for severe COVID-193.60.728
Employment location (outside the home ≥50% of time)1.20.537
MS duration4.60.799
MS Subtype5.40.496
Employment status (employed versus unemployed)0.50.786
Variables associated with COVID-19 vaccine willingness. Graphical representation of six of the variables found to be significantly associated with COVID-19 vaccine willingness: higher personal concern for getting COVID-19 (χ2 = 45.4, p < 0.0001); if MS increased the respondent’s concerns about COVID-19 infection (χ2 = 28, p < 0.0001); more cautious social distancing practices (χ2 = 55.6, p < 0.0001); discussion or plan to discuss COVID-19 vaccine with their MS doctor (χ2 = 64.3, p < 0.0001), current use of any DMT (χ2 = 8.8, p = 0.01), and prior acceptance of the influenza vaccine (χ2 = 97.6, p < 0.0001). Variables not associated with COVID-19 vaccine willingness. To further explore the variables associated with willingness to receive a COVID-19 vaccine, we collapsed the unsure and unwilling categories together. This allowed us to use logistic regression to specifically predict willingness to get the COVID-19 vaccine and assess odds ratios and 95% confidence intervals associated with the predictor variables. Bivariate logistic regressions found COVID-19 vaccine willingness (two levels) was significantly associated with the following predictor variables: higher personal concern for getting COVID-19 χ2 = 10.9, p < 0.05) or severe COVID-19 (χ2 = 12.72, p < 0.05), more cautious social distancing practices (χ2 = 28.20, p < 0.0001); discussion or plan to discuss COVID-19 vaccine with their MS doctor (χ2 = 14.58, p < 0.001); and prior acceptance of the influenza vaccine (χ2 = 52.71, p < 0.0001). After testing several demographic variables, higher levels of formal education (χ2 = 37.22, p < 0.0001) and age (χ2 = 6.91, p < 0.01) were found to be associated with COVID-19 vaccine willingness (two levels). Multivariate logistic regressions were performed for each of the predictor variables while adjusting for education and age. See Table 6 for odds ratios and 95% confidence intervals for both univariate and adjusted logistic regression models.
Table 6.

Univariate and adjusted odds ratios for COVID-19 vaccine willingness.

Univariate model
Adjusted model
a
OR (95%CI) p-value OR (95%CI) p-value
Age:
 Age1.02 (1.01, 1.04)0.009
Education:
 High School Diploma or Less1 (Reference)
 Some College3.77 (1.46, 9.77)0.006
 Bachelor’s Degree7.05 (2.69, 18.51)<0.001
 Some graduate school or more12.63 (4.73, 33.71)<0.001
Plan to discuss the COVID-19 vaccine with their MS provider:
 No, I do not plan to discuss it with my MS provider1 (Reference)1 (Reference)
 Yes, I have already discussed it with my MS provider3.13 (1.55, 6.34)0.0012.93 (1.32, 6.49)0.008
 Yes, I plan to discuss it with my MS provider2.70 (1.57, 4.64)<0.0012.57 (1.38, 4.80)0.003
Prior acceptance of the influenza vaccine:
 Do not get the flu vaccine1 (Reference)1 (Reference)
 Get the flu vaccine some years, but not all4.52 (2.16, 9.48)<0.0015.59 (2.44, 12.77)<0.001
 Get the flu vaccine every year9.28 (4.89,17.62)<0.0018.96 (4.39, 18.31)<0.001
Level of personal concern about contracting COVID-19:
 Not at all concerned1 (Reference)1 (Reference)
 Slightly concerned2.95 (1.18, 7.39)0.0202.85 (1.05, 7.73)0.040
 Somewhat concerned3.23 (1.36, 7.67)0.0082.84 (1.10, 7.33)0.031
 Moderately concerned3.75 (1.56, 9.01)0.0032.94 (1.13, 7.65)0.027
 Extremely concerned4.83 (1.73,13.49)0.0034.04 (1.34, 12.18)0.013
Level of personal concern about hospitalization, severe complications and/or death if infected with COVID-19:
 Not at all concerned1 (Reference)1 (Reference)
 Slightly concerned2.39 (1.11, 5.15)0.0262.43 (1.05, 5.62)0.038
 Somewhat concerned3.32 (1.57, 7.00)0.0023.27 (1.45, 7.38)0.004
 Moderately concerned3.04 (1.43, 6.46)0.0042.93 (1.29, 6.63)0.010
 Extremely concerned3.45 (1.60, 7.45)0.0022.99 (1.31, 6.81)0.009
Current social behavior with those outside of the home:
 Continuing to socialize in public places with the same frequency1 (Reference)1 (Reference)
 Socializing in public places, but less than before3.75 (0.39, 35.92)0.2523.11 (0.28, 34.55)0.355
 Socializing in public places, but with ≥6 feet of distance between self and others11.33 (1.30, 99.04)0.0289.47 (0.94, 95.02)0.056
 No public places, socialization in the home13.71 (1.59, 118.20)0.01714.07 (1.43, 138.33)0.023
 No public places, virtual socialization only22.38 (2.61, 191.71)0.00517.53 (1.80, 170.60)0.014

Note: Odds ratios represent the likelihood that the participant is willing to receive a COVID-19 vaccine, as compared to those who are unsure or unwilling to receive the vaccine.

aAdjusted model includes age and education as co-variates. Education remained significant in the adjusted model; age did not remain significant.

Univariate and adjusted odds ratios for COVID-19 vaccine willingness. Note: Odds ratios represent the likelihood that the participant is willing to receive a COVID-19 vaccine, as compared to those who are unsure or unwilling to receive the vaccine. aAdjusted model includes age and education as co-variates. Education remained significant in the adjusted model; age did not remain significant.

Discussion

We found COVID-19 vaccination willingness to be high in this sample of people with MS, but nearly 30% were either unwilling or unsure about being vaccinated. The variables associated with vaccine willingness were personal concern for contracting COVID-19, impact of their MS on their perceived COVID-19 risk, social distancing practices, discussion or plan to discuss the vaccine with their MS doctor, prior influenza vaccine acceptance, current DMT use, and education level. Overall, the rate of COVID-19 willingness in our study sample was similar to or higher than that of the general adult population in the United States and similar to a prior study of COVID-19 vaccine willingness in people with MS.[13-18] Several national surveys, with sample sizes of 316–7632, completed between April and August 2020 found that 49–69% of respondents intended to be vaccinated, 17–32% were not sure, and 11–35% did not intend to be vaccinated.[13-17] The prior study of vaccine willingness among people with MS found that 66% of respondents were willing and 15.4% were unwilling to accept COVID-19 vaccination. A key difference between our study and the others cited was that most of our study was conducted after the first two mRNA vaccines against COVID-19 were authorized for emergency use by the FDA. FDA authorization and imminent vaccine availability may have altered willingness to receive the vaccine. Respondents who were unsure about receiving the COVID-19 vaccination wanted more evidence about the safety of the vaccine in large populations. Those who did not want the vaccine were primarily concerned with the speed of vaccine development and potential side effects. These reasons were similar to prior COVID-19 vaccine willingness surveys of the general public in the United States.[14-16,19] In our survey, however, 29.7% of “unsure” respondents were concerned about the safety of the vaccine specifically for people with MS. Moreover, discussion or planned discussion of the COVID-19 vaccine with a neurologist was associated with vaccine willingness. This was in line with a prior study which showed that patients were more likely to accept a COVID-19 vaccination if they thought their healthcare provider would recommend it. The variables associated with COVID-19 vaccine willingness in our study were similar to those reported for the general population. Past vaccine acceptance, especially for the influenza vaccine, as well as the perceived risk of acquiring COVID-19, were associated with COVID-19 vaccine willingness in our study and several others.[14,15,19] In our study, however, the effect of increasing age on vaccine willingness was minor in bivariate analysis and was no longer statistically significant when other factors such as education was controlled. The presence of several other demographic characteristics, co-morbidities, and conditions that increase the risk of severe COVID-19 (e.g. disability, high-risk comorbidities, and working outside the home) were not associated with vaccine willingness. This highlights a disconnect between how objective risk factors and subjective risk perception influenced respondents’ willingness to receive a COVID-19 vaccination, which was also shown in the prior study of vaccine willingness among people with MS. MS providers need to recognize this disconnect when discussing COVID-19 vaccination to provide personalized and MS-specific information in order to promote vaccination. Independent of the content, the approach to the vaccination discussion can also influence vaccine willingness. Hofstetter et al. observed that parental influenza vaccination acceptance for their children was higher when healthcare providers initiated the vaccine discussion using a presumptive approach (e.g. “today we’re going to do the flu vaccine”, 72% acceptance) as opposed to a participatory approach (e.g. “are we going to do the flu vaccine today?”, 17% acceptance). While these approaches were effective in a small pediatric population, we do not know if or how these techniques would translate to adult vaccine counseling; education initiatives using personalized risk stratification incorporating these approaches could be promising directions for future research. Our study has a number of strengths. Our study is one of the only studies so far to explore COVID-19 vaccine willingness among adults with MS and in a population with a chronic medical condition. Our results support the findings reported in the prior study of COVID-19 vaccine willingness in people with MS. A major difference between the two studies is the survey window, which was shorter and allowed us to explore a period of time where two COVID-19 vaccines were approved, but before COVID-19 vaccines were offered to most respondents, reducing the potential impact of a changing vaccine landscape during the study window. Our study also examined the reasons for vaccine willingness and hesitancy as well as more demographic, behavioral, and MS-related variables. Our number of respondents was similar to other published surveys of both the general public and specific populations in the US.[18,19,22] Our study also has a number of limitations, primarily related to generalizability. The response rate to the survey within OHSU was low at 21.3% which may increase the risk of sampling bias. A link to the survey was distributed nationally on the NMSS website which makes it difficult to assess the overall response rate to the survey, although 86.5% of our respondents resided in Oregon and Southwest Washington. Additionally, the number of individuals not using DMT (28%) was higher than expected. Because a self-reported diagnosis of MS was required for participation, some patients may not have actually met diagnostic criteria, although all patients who were invited via a link sent to their electronic medical record had an ICD10 diagnosis code of MS. While the rates of vaccine willingness in our study were similar to national polling data, Oregon has historically had one of the highest rates of vaccine hesitancy among its general population – only 71% of 2-year-olds were up to date on their childhood vaccinations in 2019. The survey was only offered online, which could have excluded socioeconomically underserved populations; this bias was likely reflected in the high education and income levels of our respondents. There was a possibility of selection bias as potential respondents distrustful of a vaccine might have been less likely to participate in this research survey regarding vaccines. Most respondents identified as White (87.6%), so we could not perform any secondary analyses related to race/ethnicity. This major limitation to our study was especially unfortunate given that COVID-19 has disproportionately affected racial and ethnic minority groups and because several studies suggested that vaccine acceptance may be lower amongst Black Americans.[14,15] More research on sources of vaccine hesitancy amongst racial and ethnic minority groups is imperative. Finally, the survey period of our study closed shortly before the National MS Society released their recommendations stating that the COVID-19 vaccines developed by Pfizer-BioNTech and Moderna are safe for people with MS, safe to use with MS medications, and that people with MS should therefore receive a COVID-19 vaccine. The National MS Society guidance was based on data from the general population in the vaccine clinical trials and from studies of other vaccines in people with MS. It is possible that these Society recommendations would address some of the concerns for people with MS and increase vaccine willingness rates. In summary, our study in people with MS found that over 70% of respondents were willing to receive a COVID-19 vaccine. Important variables associated with vaccine willingness were personal concern for getting COVID-19, discussing or planning to discuss COVID-19 vaccine with their MS doctor, and past vaccine acceptance. Respondents who were unsure if they were willing to receive a COVID-19 vaccine had significant uncertainty about the safety of the vaccine specifically for people with MS. Patient desire for MS-specific safety data could reflect a research priority for the future. Our study highlights the importance of patient-centered factors associated with COVID-19 vaccine willingness that may be used to guide personalized discussions with vaccine-unsure MS patients. Click here for additional data file. Supplemental material, sj-pdf-1-mso-10.1177_20552173211017159 for COVID-19 vaccination willingness among people with multiple sclerosis by Xinran M Xiang Chris Hollen Qian Yang Barbara H Brumbach Rebecca I Spain Lindsey Wooliscroft in Multiple Sclerosis Journal – Experimental, Translational and Clinical Click here for additional data file. Supplemental material, sj-pdf-2-mso-10.1177_20552173211017159 for COVID-19 vaccination willingness among people with multiple sclerosis by Xinran M Xiang Chris Hollen Qian Yang Barbara H Brumbach Rebecca I Spain Lindsey Wooliscroft in Multiple Sclerosis Journal – Experimental, Translational and Clinical
  16 in total

1.  Vaccine hesitancy: Definition, scope and determinants.

Authors:  Noni E MacDonald
Journal:  Vaccine       Date:  2015-04-17       Impact factor: 3.641

Review 2.  Vaccine hesitancy: an overview.

Authors:  Eve Dubé; Caroline Laberge; Maryse Guay; Paul Bramadat; Réal Roy; Julie Bettinger
Journal:  Hum Vaccin Immunother       Date:  2013-04-12       Impact factor: 3.452

3.  Towards intervention development to increase the uptake of COVID-19 vaccination among those at high risk: Outlining evidence-based and theoretically informed future intervention content.

Authors:  Lynn Williams; Allyson J Gallant; Susan Rasmussen; Louise A Brown Nicholls; Nicola Cogan; Karen Deakin; David Young; Paul Flowers
Journal:  Br J Health Psychol       Date:  2020-09-05

4.  The perceived benefit and satisfaction from conventional and complementary and alternative medicine (CAM) in people with multiple sclerosis.

Authors:  L Shinto; V Yadav; C Morris; J A Lapidus; A Senders; D Bourdette
Journal:  Complement Ther Med       Date:  2005-09-12       Impact factor: 2.446

5.  Clinical Characteristics and Outcomes in Patients With Coronavirus Disease 2019 and Multiple Sclerosis.

Authors:  Céline Louapre; Nicolas Collongues; Bruno Stankoff; Claire Giannesini; Caroline Papeix; Caroline Bensa; Romain Deschamps; Alain Créange; Abir Wahab; Jean Pelletier; Olivier Heinzlef; Pierre Labauge; Laurent Guilloton; Guido Ahle; Mathilde Goudot; Kevin Bigaut; David-Axel Laplaud; Sandra Vukusic; Catherine Lubetzki; Jérôme De Sèze; Fayçal Derouiche; Ayman Tourbah; Guillaume Mathey; Marie Théaudin; François Sellal; Marie-Hélène Dugay; Helene Zéphir; Patrick Vermersch; Françoise Durand-Dubief; Romain Françoise; Géraldine Androdias-Condemine; Julie Pique; Pékès Codjia; Caroline Tilikete; Véronique Marcaud; Christine Lebrun-Frenay; Mikael Cohen; Aurelian Ungureanu; Elisabeth Maillart; Ysoline Beigneux; Thomas Roux; Jean-Christophe Corvol; Amandine Bordet; Yanica Mathieu; Frédérique Le Breton; Dalia Dimitri Boulos; Olivier Gout; Antoine Guéguen; Antoine Moulignier; Marine Boudot; Audrey Chardain; Sarah Coulette; Eric Manchon; Samar S. Ayache; Thibault Moreau; Pierre-Yves Garcia; Deiva Kumaran; Giovanni Castelnovo; Eric Thouvenot; Julien Poupart; Arnaud Kwiatkowski; Gilles Defer; Nathalie Derache; Pierre Branger; Damien Biotti; Jonathan Ciron; Christine Clerc; Mathieu Vaillant; Laurent Magy; Alexis Montcuquet; Philippe Kerschen; Marc Coustans; Anne-Marie Guennoc; Bruno Brochet; Jean-Christophe Ouallet; Aurélie Ruet; Cécile Dulau; Sandrine Wiertlewski; Eric Berger; Dan Buch; Bertrand Bourre; Maud Pallix-Guiot; Aude Maurousset; Bertrand Audoin; Audrey Rico; Adil Maarouf; Gilles Edan; Jérémie Papassin; Dorothée Videt
Journal:  JAMA Neurol       Date:  2020-09-01       Impact factor: 18.302

6.  Clinician-parent discussions about influenza vaccination of children and their association with vaccine acceptance.

Authors:  Annika M Hofstetter; Jeffrey D Robinson; Katherine Lepere; Morgan Cunningham; Nicole Etsekson; Douglas J Opel
Journal:  Vaccine       Date:  2017-04-06       Impact factor: 3.641

7.  Meta-analysis of the Age-Dependent Efficacy of Multiple Sclerosis Treatments.

Authors:  Ann Marie Weideman; Marco Aurelio Tapia-Maltos; Kory Johnson; Mark Greenwood; Bibiana Bielekova
Journal:  Front Neurol       Date:  2017-11-10       Impact factor: 4.003

8.  Attitudes Toward a Potential SARS-CoV-2 Vaccine : A Survey of U.S. Adults.

Authors:  Kimberly A Fisher; Sarah J Bloomstone; Jeremy Walder; Sybil Crawford; Hassan Fouayzi; Kathleen M Mazor
Journal:  Ann Intern Med       Date:  2020-09-04       Impact factor: 25.391

9.  Willingness to obtain COVID-19 vaccination in adults with multiple sclerosis in the United States.

Authors:  Dawn M Ehde; Michelle K Roberts; Tracy E Herring; Kevin N Alschuler
Journal:  Mult Scler Relat Disord       Date:  2021-01-22       Impact factor: 4.339

10.  COVID-19 in multiple sclerosis patients and risk factors for severe infection.

Authors:  Farhan Chaudhry; Helena Bulka; Anirudha S Rathnam; Omar M Said; Jia Lin; Holly Lorigan; Eva Bernitsas; Jacob Rube; Steven J Korzeniewski; Anza B Memon; Phillip D Levy; Lonni Schultz; Adil Javed; Robert Lisak; Mirela Cerghet
Journal:  J Neurol Sci       Date:  2020-09-19       Impact factor: 3.181

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  16 in total

1.  SARS-CoV-2 Infection and Vaccination Outcomes in Multiple Sclerosis.

Authors:  Jenna A Brunn; Galit Levi Dunietz; Andrew R Romeo; Tiffany J Braley
Journal:  Neurol Clin Pract       Date:  2022-06

2.  COVID-19 mRNA vaccination leading to CNS inflammation: a case series.

Authors:  Mahsa Khayat-Khoei; Shamik Bhattacharyya; Joshua Katz; Daniel Harrison; Shahamat Tauhid; Penny Bruso; Maria K Houtchens; Keith R Edwards; Rohit Bakshi
Journal:  J Neurol       Date:  2021-09-04       Impact factor: 6.682

3.  COVID-19 Vaccine Hesitancy in the United States: A Systematic Review.

Authors:  Farah Yasmin; Hala Najeeb; Abdul Moeed; Unaiza Naeem; Muhammad Sohaib Asghar; Najeeb Ullah Chughtai; Zohaib Yousaf; Binyam Tariku Seboka; Irfan Ullah; Chung-Ying Lin; Amir H Pakpour
Journal:  Front Public Health       Date:  2021-11-23

4.  Attitudes, acceptance and hesitancy among the general population worldwide to receive the COVID-19 vaccines and their contributing factors: A systematic review.

Authors:  Fidelia Cascini; Ana Pantovic; Yazan Al-Ajlouni; Giovanna Failla; Walter Ricciardi
Journal:  EClinicalMedicine       Date:  2021-09-02

5.  New relapse of multiple sclerosis and neuromyelitis optica as a potential adverse event of AstraZeneca AZD1222 vaccination for COVID-19.

Authors:  Yara D Fragoso; Sidney Gomes; Marcus Vinicius M Gonçalves; Euldes Mendes Junior; Bianca Etelvina S de Oliveira; Cristiane Franklin Rocha; Gutemberg A Cruz Dos Santos; Carlos Bernardo Tauil; Raquel Vassao Araujo; Jean Pierre S Peron
Journal:  Mult Scler Relat Disord       Date:  2021-10-13       Impact factor: 4.339

6.  Systematic Review and Meta-Analysis of COVID-19 Vaccination Acceptance.

Authors:  Mohd Noor Norhayati; Ruhana Che Yusof; Yacob Mohd Azman
Journal:  Front Med (Lausanne)       Date:  2022-01-27

7.  COVID-19 Vaccination Willingness and Acceptability in Multiple Sclerosis Patients: A Cross Sectional Study in Iran.

Authors:  Seyed Massood Nabavi; Mehrnoosh Mehrabani; Leila Ghalichi; Mohammad Ali Nahayati; Mehran Ghaffari; Fereshteh Ashtari; Seyed Ehsan Mohammadianinejad; Shahedeh Karimi; Leila Faghani; Sepideh Yazdanbakhsh; Abbas Najafian; Koorosh Shahpasand; Massoud Vosough
Journal:  Vaccines (Basel)       Date:  2022-01-17

8.  Safety of the BNT162b2 COVID-19 vaccine in multiple sclerosis (MS): Early experience from a tertiary MS center in Israel.

Authors:  Itay Lotan; Adi Wilf-Yarkoni; Yitzhak Friedman; Hadas Stiebel-Kalish; Israel Steiner; Mark A Hellmann
Journal:  Eur J Neurol       Date:  2021-08-02       Impact factor: 6.288

9.  COVID-19 vaccine hesitancy in Iranian patients with multiple sclerosis.

Authors:  Naghmeh Abbasi; Fereshteh Ghadiri; Abdorreza Naser Moghadasi; Amirreza Azimi; Samira Navardi; Hora Heidari; Maryam Karaminia; Mohammad Ali Sahraian
Journal:  Mult Scler Relat Disord       Date:  2022-03-05       Impact factor: 4.808

10.  Perspectives and experiences with COVID-19 vaccines in people with MS.

Authors:  John R Ciotti; Dana C Perantie; Brandon P Moss; Kathryn C Fitzgerald; Jeffrey A Cohen; Ellen M Mowry; Robert T Naismith; Salim Chahin
Journal:  Mult Scler J Exp Transl Clin       Date:  2022-03-07
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