Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

Acceptance of COVID-19 Vaccination Among Health System Personnel

Daniel J. Parente, Akinlolu Ojo, Tami Gurley, Joseph W. LeMaster, Mark Meyer, David M. Wild and Reem A. Mustafa
The Journal of the American Board of Family Medicine May 2021, 34 (3) 498-508; DOI: https://doi.org/10.3122/jabfm.2021.03.200541
Daniel J. Parente
From the Department of Family Medicine and Community Health (DJP, MM, JW), School of Medicine (AO, MM), Department of Population Health (TG), Department of Anesthesiology (DMW), Department of Internal Medicine, Division of Nephrology and Hypertension (RAM), University of Kansas Medical Center, Kansas City.
MD, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Akinlolu Ojo
From the Department of Family Medicine and Community Health (DJP, MM, JW), School of Medicine (AO, MM), Department of Population Health (TG), Department of Anesthesiology (DMW), Department of Internal Medicine, Division of Nephrology and Hypertension (RAM), University of Kansas Medical Center, Kansas City.
MD, PhD, MBA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tami Gurley
From the Department of Family Medicine and Community Health (DJP, MM, JW), School of Medicine (AO, MM), Department of Population Health (TG), Department of Anesthesiology (DMW), Department of Internal Medicine, Division of Nephrology and Hypertension (RAM), University of Kansas Medical Center, Kansas City.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joseph W. LeMaster
From the Department of Family Medicine and Community Health (DJP, MM, JW), School of Medicine (AO, MM), Department of Population Health (TG), Department of Anesthesiology (DMW), Department of Internal Medicine, Division of Nephrology and Hypertension (RAM), University of Kansas Medical Center, Kansas City.
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mark Meyer
From the Department of Family Medicine and Community Health (DJP, MM, JW), School of Medicine (AO, MM), Department of Population Health (TG), Department of Anesthesiology (DMW), Department of Internal Medicine, Division of Nephrology and Hypertension (RAM), University of Kansas Medical Center, Kansas City.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David M. Wild
From the Department of Family Medicine and Community Health (DJP, MM, JW), School of Medicine (AO, MM), Department of Population Health (TG), Department of Anesthesiology (DMW), Department of Internal Medicine, Division of Nephrology and Hypertension (RAM), University of Kansas Medical Center, Kansas City.
MD, MBA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Reem A. Mustafa
From the Department of Family Medicine and Community Health (DJP, MM, JW), School of Medicine (AO, MM), Department of Population Health (TG), Department of Anesthesiology (DMW), Department of Internal Medicine, Division of Nephrology and Hypertension (RAM), University of Kansas Medical Center, Kansas City.
MBBS, PhD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.

    Vaccine acceptance as a function of respondent order. The proportion of respondents reporting early (<3 months), late (>3 months), and never vaccine acceptance within 500-participant rolling windows is shown. Earlier respondents seem on the left while later respondents seem on the right. Rolling averages are compared with the whole-sample averages (solid lines). Vaccine acceptance patterns remain essentially stable as a function of respondent order, which is consistent with – but does not definitively establish – the absence of strong nonresponse bias.

Tables

  • Figures
    • View popup
    Table 1.

    Respondent Characteristics; (n = 3347)

    CharacteristicN (%)*
    Age, years
        18 to 24437 (13.1)
        25 to 34974 (29.1)
        35 to 44709 (21.2)
        45 to 54565 (16.9)
        55 to 64520 (15.5)
        65 years or greater142 (4.2)
    Sex
        Men726 (21.8)
        Women2601 (78.0)
        Other7 (0.2)
        No response13
    Race
        American Indian or Alaska Native6 (0.2)
        Asian125 (3.8)
        Black or African American104 (3.1)
        White2912 (87.6)
        Native Hawaiian or Other Pacific Islander4 (0.1)
        Other79 (2.4)
        Multiple95 (2.9)
        No response22
    Hispanic, Latino, or Spanish Origin
        Absent3170 (95.4)
        Present152 (4.6)
        No response25
    Educational attainment
        Some high school or less3 (0.1)
        High school graduate59 (1.8)
        Some college398 (11.9)
        College graduate1467 (43.9)
        Master's degree696 (20.8)
        Doctorate or professional degree716 (21.4)
        No response8
    Clinical role
        No clinical responsibilities844 (25.6)
        Attending physician247 (7.5)
        Fellow or resident physician79 (2.4)
        Advanced practice provider (APRN, PA)118 (3.6)
        Licensed nurse (RN, LPN)491 (14.9)
        Clinical pharmacist or pharmacy staff81 (2.5)
        Physical, occupational, or speech therapy117 (3.5)
        Unlicensed care aid48 (1.5)
        Case management or social work32 (1.0)
        Technician (radiology, EKG, lab draw, etc)76 (2.3)
        Clinical laboratory or clinical pathology52 (1.6)
        Administrative or support staff300 (9.1)
        Medical student227 (6.9)
        Nursing student82 (2.5)
        School of health professions student153 (4.6)
        Other student34 (1.0)
        Other316 (9.6)
        No response50
    • APRN, advanced practice registered nurse; PA, physician assistant; RN, registered nurse; LPN, licensed practical nurse; EKG, electrocardiogram

    • ↵* Percentages refer to all respondents (excluding “no response”) for each item.

    • View popup
    Table 2.

    Intentions, Barriers, and Facilitators Associated with SARS-CoV-2 Vaccination (n = 3347)

    VariableN (%)*
    If a vaccine for novel coronavirus (COVID-19) receives Food and Drug Administration (FDA) approval, when do you intend to become vaccinated?
        Within the first month of approval1241 (37.2)
        1 to 3 months after approval744 (22.3)
        4 to 6 months after approval379 (11.4)
        7 to 12 months after approval231 (6.9)
        More than 1 year (12 months) after approval410 (12.3)
        I do not intend to be vaccinated331 (9.9)
        No response11
    Which of the following concerns influence your decision to delay vaccination or to not receive vaccination?†
        Long-term side effects of the vaccine1197 (57.1)
        The vaccine will not be safe1152 (55.0)
        The vaccine will not be effective777 (37.1)
        Risk of vaccination is more than the benefit650 (31.0)
        The vaccine will be too expensive255 (12.2)
        I may be allergic to the vaccine234 (11.2)
        Short-term side effects (painful injection, muscle pain, feeling unwell the day of the injection, etc.)159 (7.6)
        Personal religious, moral or ethical reasons154 (7.4)
        The vaccine will give me novel coronavirus (COVID-19)100 (4.8)
        I will not have time to get the vaccine79 (3.8)
        Already been infected with novel coronavirus (COVID-19)48 (2.3)
        Other303 (14.5)
        No response24
    How concerned are you about becoming infected with novel coronavirus (COVID-19)?
        Extremely concerned532 (15.9)
        Moderately concerned1195 (35.7)
        Somewhat concerned835 (25.0)
        Slightly concerned554 (16.6)
        Not at all concerned228 (6.8)
        No response3
    In general, would you say your health is:
        Excellent948 (28.4)
        Very good1651 (49.4)
        Good641 (19.2)
        Fair95 (2.8)
        Poor6 (0.2)
        No response6
    • ↵* Percentages refer to all respondents (excluding “no response”) for each item.

    • ↵† Queried of all persons not reporting intention to become vaccinated within the first month. Percentages may not sum to 100% because respondents may report multiple concerns.

    • View popup
    Table 3.

    Bivariable and Multivariable Logistical Regression Models for Intention to Receive COVID-19 Within 3 Months of Regulatory Approval

    Bivariable (Crude)Multivariable (Adjusted)
    VariablecOR (95% CI)P ValueaOR (95% CI)P ValueSignificance*
    Age, decades1.02 (0.97-1.07).5480.95 (0.90–1.00).054
    Men†2.39 (1.99-2.89)<.0012.43 (2.00–2.95)<.001***
    Influenza vaccine‡2.37 (1.79-3.15)<.0012.35 (1.75-3.18)<.001***
    Viral concern§2.30 (1.99-2.65)<.0012.40 (2.07-2.79)<.001***
    Patient interaction‖0.97 (0.85-1.12).7040.92 (0.79-1.07).282
    Higher education¶1.62 (1.40–1.87)<.0011.41 (1.21–1.65)<.001***
    Poor health**0.87 (0.74-1.03).1150.85 (0.71–1.01).065
    Race††
    WhiteReference––––
    Black0.16 (0.10–0.25)<.001–––
    Asian1.53 (1.04-2.29).036–––
    Other/multiple0.63 (0.47-0.86).003–––
    Hispanic††0.97 (0.70–1.36).873–––
    • cOR, crude odds ratio; CI, confidence interval; aOR, adjusted odds ratio.

    • ↵* Significance with respect to the multivariable model (*P < .05, **P < .01, ***P < .001).

    • ↵† Self-reported sex.

    • ↵‡ Completion of influenza vaccination in the 2019-2020 season.

    • ↵§ “Extremely concerned” or “moderately concerned” about becoming infected with COVID-19 on a 5-point Likert scale.

    • ↵‖ Job responsibility involving direct patient interaction.

    • ↵¶ Master's degree or Doctorate/Professional.

    • ↵** Reporting anything other than “Excellent” or “Very Good” health on a 5-point Likert scale.

    • ↵†† – Not included in the multivariable model.

    • View popup
    Table 4.

    Post-Hoc, Exploratory Subgroup Analyses: Intention to Receive COVID-19 Vaccination and Reported Barriers Among White, Black, Hispanic, and Asian Respondents

    VariableN (%)*
    WhiteBlackHispanicAsian
    If a vaccine for novel coronavirus (COVID-19) receives Food and Drug Administration (FDA) approval, when do you intend to become vaccinated?
        Within the first month of approval1152 (38.5)17 (13.6)56 (37.1)61 (40.1)
        1 to 3 months after approval675 (22.6)14 (11.2)34 (22.5)44 (28.9)
        4 to 6 months after approval333 (11.1)12 (9.6)19 (12.6)20 (13.2)
        7 to 12 months after approval197 (6.6)17 (13.6)13 (8.6)9 (5.9)
        More than 1 year (12 months) after approval355 (11.9)29 (23.2)18 (11.9)16 (10.5)
        I do not intend to be vaccinated278 (9.3)36 (28.8)11 (7.3)2 (1.3)
        No response10110
    Which of the following concerns influence your decision to delay vaccination or to not receive vaccination?†
        The vaccine will not be safe1015 (55.2)64 (59.3)37 (38.9)56 (61.5)
        The vaccine will not be effective693 (37.7)38 (35.2)34 (35.8)29 (31.9)
        I may be allergic to the vaccine186 (10.1)23 (21.3)4 (4.2)18 (19.8)
        Risk of vaccination is more than the benefit568 (30.9)40 (37.0)25 (26.3)24 (26.4)
        Short-term side effects (painful injection, muscle pain, feeling unwell the day of the injection, etc.)129 (7.0)18 (16.7)4 (4.2)11 (12.1)
        Long-term side effects of the vaccine1052 (57.2)69 (63.9)49 (51.6)43 (47.3)
        The vaccine will be too expensive229 (12.5)8 (7.4)15 (15.8)15 (16.5)
        I will not have time to get the vaccine69 (3.8)0 (0.0)9 (9.5)5 (5.5)
        The vaccine will give me novel coronavirus (COVID-19)81 (4.4)16(14.8)5 (5.3)3 (3.3)
        Personal religious, moral or ethical reasons124 (6.7)21 (19.4)3 (3.2)3 (3.3)
        Already been infected with novel coronavirus (COVID-19)45 (2.4)2 (1.9)0 (0.0)1 (1.1)
        Other266 (14.5)16 (14.8)4 (4.2)11 (12.1)
    • ↵* Percentages refer to all respondents (excluding “no response”) for each item.

    • ↵† Queried of all persons not reporting intention to become vaccinated within the first month. Percentages do not sum to 100% because respondents may report multiple concerns.

    • View popup
    Appendix Table 1.

    Estimated Demographics of the Underlying Population Invited to Participate in the Survey

    N (%)*,†
    SurveyHealth System‡University‡Composite§
    Age, years
        18 to 24437 (13.1)1153 (9.9)1334 (18.7)2487 (13.3)
        25 to 34974 (29.1)4054 (34.8)2763 (38.8)6817 (36.3)
        35 to 44709 (21.2)2667 (22.9)1362 (19.1)4029 (21.5)
        45 to 54565 (16.9)1887 (16.2)812 (11.4)2699 (14.4)
        55 to 64520 (15.5)1572 (13.5)628 (8.8)2200 (11.7)
        65 years or greater142 (4.2)315 (2.7)221 (3.1)536 (2.9)
    Sex
        Men726 (21.8)2225 (19.1)2912 (40.9)5137 (27.4)
        Women2601 (78.0)9423 (80.9)4208 (59.1)13631 (72.6)
        Other7 (0.2)–––
        No response13–––
    Race‖
        American Indian or Alaska Native6 (0.2)57 (0.5)24 (0.4)81 (0.4)
        Asian/Pacific Islander129 (3.9)399 (3.4)635 (9.6)1034 (5.7)
        Black or African American104 (3.1)2007 (17.2)353 (5.3)2360 (12.9)
        White2912 (87.6)8555 (73.4)5241 (78.9)13796 (75.4)
        Other79 (2.4)339 (2.9)136 (2.0)475 (2.6)
        Multiple95 (2.9)291 (2.5)250 (3.8)541 (3.0)
        No response22–481481
    Hispanic, Latino, or Spanish Origin
        Present152 (4.6)769 (6.6)370 (5.2)1139 (6.1)
        Absent3170 (95.4)10879 (93.4)6750 (94.8)17629 (93.9)
        No response25–––
    Total334711648712018768
    • ↵* The count (N) of individuals in each demographic category are actual counts for the survey and University populations. Health System counts are calculated from the reported percentages and a total of 11,648 employees.

    • ↵† Percentages are calculated from the number of responses for each category (excluding “no response”).

    • ↵‡ Health system demographic statistics are provided by the University of Kansas Health System Human Resources Department, and as current as of 2020. University demographic statistics are provided by the University of Kansas Health Medical Center Office of Enterprise Analytics and are also current as of 2020. Health System and University populations are not completely disjoint (eg, a University faculty physician may also be a member of the Health System medical staff) but this represents a minority of both populations.

    • ↵§ Composite is a combination of Health System and University demographics to approximate the demographic features of the whole underlying eligible population.

    • ↵‖ Race and ethnicity data are reported here as orthogonal demographic features (ie, Hispanic persons may be of any race). Health system and University race and ethnicity data were reported with Hispanic, Latino, or Spanish origin as a racial category rather than two separate features for race and ethnicity. For the health system and University data, Hispanic/Latino persons were assumed to have racial distributions similar to their national distribution for Hispanic persons: 1.4% American Indian or Alaska Native, 0.5% Asian or Pacific Islander, 2.5% Black or African American, 53.0% white, 36.7% other, and 6.0% multiple races (these proportions do not sum to 100% due to rounding).

    • View popup
    Appendix Table 2.

    Demographic Features of Records Excluded From Regression Analysis

    DemographicN (%)*
    Age, years
        18 to 245 (9.1)
        25 to 3417 (30.9)
        35 to 4410 (18.2)
        45 to 5411 (20.0)
        55 to 649 (16.4)
        65 years or greater3 (5.5)
    Sex
        Men2 (4.8)
        Women33 (78.6)
        Other7 (16.7)
        No response13
    Race
        American Indian or Alaska Native–
        Asian1 (2.2)
        Black or African American1 (2.2)
        White39 (84.8)
        Native Hawaiian or Other Pacific Islander–
        Other4
        Multiple1
        No response9
    Hispanic, Latino, or Spanish Origin
        Absent46 (95.8)
        Present2 (4.2)
        No response7
    Educational attainment
        Some high school or less–
        High school graduate2 (4.3)
        Some college3 (6.4)
        College graduate23 (48.9)
        Master's degree12 (25.5)
        Doctorate or professional degree7 (14.9)
        No response8
    Clinical role
        No clinical responsibilities11 (20.4)
        Attending physician2 (3.7)
        Fellow or resident physician3 (5.6)
        Advanced practice provider (APRN, PA)1 (1.9)
        Licensed nurse (RN, LPN)15 (27.8)
        Clinical pharmacist or pharmacy staff1 (1.9)
        Physical, occupational, or speech therapy1 (1.9)
        Unlicensed care aid1 (1.9)
        Case management or social work–
        Technician (radiology, EKG, lab draw, etc)3 (5.6)
        Clinical laboratory or clinical pathology2 (3.7)
        Administrative or support staff5 (9.3)
        Medical student2 (3.7)
        Nursing student2 (3.7)
        School of health professions student–
        Other student–
        Other5 (9.3)
        No response1
    • APRN, advanced practice registered nurse; PA, physician assistant; RN, registered nurse; LPN, licensed practical nurse; EKG, electrocardiogram.

    • ↵* Percentages refer to all respondents (excluding “no response”) for each item.

    • View popup
    Appendix Table 3.

    Bivariable Sensitivity Analysis for Alternative Dichotomization Thresholds for Predictor Variables Related to Intention to Receive COVID-19 Within 3 Months of Regulatory Approval

    VariablecOR (95% CI)P ValueSignificance*
    Alternative viral concern†3.66 (3.10–4.34)<.001***
    Alternative higher education‡1.83 (1.50–2.24)<.001***
    Alternative poor health§0.78 (0.52–1.17).225
    • cOR, crude odds ratio; CI, confidence interval; aOR, adjusted odds ratio.

    • ↵* Significance with respect to the bivariable model (*** P < .001).

    • ↵† “Extremely concerned” or “moderately concerned” about becoming infected with COVID-19 on a 5-point Likert scale.

    • ↵‡ College graduate, Master's degree, or Doctorate/Professional degree.

    • ↵§ Reporting anything other than “Excellent”, “Very Good”, or “Good” health on a 5-point Likert scale.

    • View popup
    Appendix Table 4.

    Multivariable Sensitivity Analysis Using Alternative Dichotomization Thresholds for Predictor Variables Related to Intention to Receive COVID-19 Within 3 Months of Regulatory Approval

    Alternative DichotomizationMultivariable Odds Ratio (95% CI, P Value)*
    Concern†Edu‡Health§AgeSex (Men)InfluenzaDirect Interaction
    –––0.95 (0.90–1.00, .054)2.43 (2.00–2.95, <.001)2.35 (1.75-3.18, <.001)0.92 (0.79-1.07, .282)
    ––Alt0.94 (0.89-1.00, .036)2.43 (2.01–2.95, <.001)2.34 (1.74-3.16, <.001)0.93 (0.80–1.08, .341)
    –Alt–0.97 (0.92–1.02, .284)2.47 (2.04-3.00, <.001)2.34 (1.74-3.16, <.001)0.91 (0.78-1.06, .212)
    –AltAlt0.97 (0.92–1.02, .230)2.47 (2.04-3.00, <.001)2.32 (1.72–3.14, <.001)0.92 (0.79-1.07, .256)
    Alt––0.95 (0.90–1.01, .080)2.60 (2.13-3.18, <.001)2.40 (1.77-3.26, <.001)0.88 (0.75-1.03, .108)
    Alt–Alt0.95 (0.90–1.00, .055)2.60 (2.14-3.18, <.001)2.38 (1.76-3.24, <.001)0.89 (0.76-1.04, .137)
    AltAlt–0.98 (0.92–1.03, .366)2.64 (2.17-3.23, <.001)2.40 (1.77-3.26, <.001)0.87 (0.74-1.01, .075)
    AltAltAlt0.97 (0.92–1.03, .299)2.65 (2.18-3.23, <.001)2.38 (1.75-3.23, <.001)0.88 (0.75-1.02, .096)
    Alternative DichotomizationMultivariable Odds Ratio (95% Cl, P Value)*
    Concern†Edu‡Health§ConcernEducationHealth
    –––2.40 (2.07-2.79, <.001)1.41 (1.21–1.65, <.001)0.85 (0.71–1.01, .065)
    ––Alt2.37 (2.05-2.75, <.001)1.43 (1.23-1.67, <.001)0.80 (0.53-1.23, .305)
    –Alt–2.40 (2.07-2.79, <.001)1.54 (1.25-1.91, <.001)0.84 (0.70–1.01, .057)
    –AltAlt2.38 (2.05-2.76, <.001)1.58 (1.28-1.95, <.001)0.78 (0.51–1.19, .237)
    Alt––4.00 (3.35-4.78, <.001)1.42 (1.21–1.66, <.001)0.85 (0.71–1.02, .073)
    Alt–Alt3.96 (3.32–4.74, <.001)1.44 (1.23-1.68, <.001)0.80 (0.52–1.22, .288)
    AltAlt–4.01 (3.36-4.79, <.001)1.54 (1.24-1.92, <.001)0.84 (0.70–1.01, .062)
    AltAltAlt3.97 (3.33-4.75, <.001)1.58 (1.27-1.95, <.001)0.77 (0.51–1.18, .222)
    • CI, confidence interval; Edu, educational attainment; Alt, alternative.

    • ↵* Boldface text indicates P < .05.

    • ↵† Concern about becoming infected with COVID-19. Concern was reported on a 5-point Likert scale (extremely, moderately, somewhat, slightly, not at all). The original (–) threshold divides between moderately/somewhat. The alternative threshold divides between somewhat/slightly.

    • ↵‡ Educational attainment was reported on a 6-point Likert scale (some high school, high school graduate, some college, college graduate, Master's degree and Doctoral/Professional degree). The original (–) threshold divides between College graduate/Master's degree. The alternative threshold divides between some college/college graduate.

    • ↵§ Self-reported health status was reported on a 5-point Likert scale (excellent, very good, good, fair, poor). The original threshold (–) divides between very good/good. The alternative threshold divides between good/fair.

    • View popup
    Appendix Table 5.

    Bivariable Sensitivity Analysis Using Alternative Dichotomization Thresholds for Response Variable: Intention to Receive COVID-19 Within 1 Month (Rather Than 3 Months) of Regulatory Approval

    VariablecOR (95% CI)P ValueSignificance*
    Age, decades1.05 (0.99-1.10).079
    Men†2.23 (1.89-2.64)<.001***
    Influenza vaccine‡2.44 (1.76-3.46)<.001***
    Viral concern§1.95 (1.69-2.25)<.001***
    Patient interaction‖1.17 (1.01–1.34).034*
    Higher education¶1.54 (1.33-1.77)<.001***
    Poor health**0.85 (0.71–1.01).063
    Alternative viral concern††2.63 (2.18-3.18)<.001***
    Alternative higher education‡‡1.82 (1.46-2.28)<.001***
    Alternative poor health§§0.78 (0.50–1.19).259
    • cOR, crude odds ratio; CI, confidence interval.

    • ↵* Significance (* P < .05, ** P < .01, *** P < .001).

    • ↵† Self-reported gender.

    • ↵‡ Completion of influenza vaccination in the 2019-2020 season.

    • ↵§ “Extremely concerned” or “moderately concerned” about becoming infected with COVID-19 on a 5-point Likert scale.

    • ↵‖ Job responsibility involving direct patient interaction.

    • ↵¶ Master's degree or Doctorate.

    • ↵** Reporting anything other than “Excellent” or “Very Good” health on a 5-point Likert scale.

    • ↵†† “Extremely concerned”, “moderately concerned”, or “somewhat concerned” about becoming infected with COVID-19 on a 5-point Likert scale.

    • ↵‡‡ College graduate, Master's degree, or Doctorate/Professional degree.

    • ↵§§ Reporting anything other than “Excellent”, “Very Good”, or “Good” health on a 5-point Likert scale.

    • View popup
    Appendix Table 6.

    Multivariable Sensitivity Analysis Using Alternative Dichotomization Thresholds for Response Variable: Intention to Receive COVID-19 Within 1 Month (Rather Than 3 Months) of Regulatory Approval

    Alternative DichotomizationMultivariable Odds Ratio (95% Cl, P Value)*
    Concern†Edu‡Health§AgeSex (Men)InfluenzaDirect Interaction
    –––1.00 (0.95-1.06, .918)2.25 (1.89-2.68, <.001)2.21 (1.57-3.18, <.001)1.16 (0.99-1.35, .064)
    ––Alt1.00 (0.94-1.05, .938)2.25 (1.89-2.68, <.001)2.20 (1.57-3.16, <.001)1.17 (1.00–1.36, .047)
    –Alt–1.02 (0.97-1.08, .427)2.28 (1.91–2.71, <.001)2.21 (1.57-3.17, <.001)1.14 (0.98-1.33, .090)
    –AltAlt1.02 (0.97-1.07, .508)2.28 (1.92–2.71, <.001)2.19 (1.56-3.15, <.001)1.15 (0.99-1.34, .070)
    Alt––1.01 (0.96-1.07, .706)2.28 (1.92–2.72, <.001)2.23 (1.58-3.21, <.001)1.12 (0.96-1.30, .160)
    Alt–Alt1.01 (0.95-1.06, .830)2.29 (1.92–2.73, <.001)2.22 (1.57-3.19, <.001)1.13 (0.97-1.31, .128)
    AltAlt–1.03 (0.98-1.09, .269)2.31 (1.94-2.75, <.001)2.23 (1.58-3.21, <.001)1.10 (0.95-1.29, .209)
    AltAltAlt1.03 (0.97-1.08, .324)2.32 (1.94-2.76, <.001)2.22 (1.57-3.19, <.001)1.11 (0.95-1.30, .174)
    Alternative DichotomizationMultivariable Odds Ratio (95% Cl, P Value)*
    Concern†Edu‡Health§ConcernEducationHealth
    –––2.02 (1.74-2.35, <.001)1.29 (1.11–1.51, .001)0.84 (0.70–1.01, .066)
    ––Alt2.00 (1.72–2.32, <.001)1.31 (1.13-1.53, <.001)0.82 (0.52–1.27, .386)
    –Alt–2.03 (1.74-2.36, <.001)1.49 (1.19-1.89, <.001)0.84 (0.70–1.01, .065)
    –AltAlt2.00 (1.73-2.33, <.001)1.53 (1.22–1.93, <.001)0.80 (0.51–1.24, .333)
    Alt––2.74 (2.26-3.34, <.001)1.30 (1.12–1.52, <.001)0.86 (0.72–1.03, .101)
    Alt–Alt2.72 (2.24-3.31, <.001)1.32 (1.13-1.54, <.001)0.84 (0.53-1.29, .429)
    AltAlt–2.75 (2.27-3.35, <.001)1.51 (1.20–1.91, <.001)0.86 (0.72–1.03, .100)
    AltAltAlt2.73 (2.25-3.32, <.001)1.54 (1.22–1.94, <.001)0.82 (0.52–1.26, .370)
    • CI, confidence interval; Edu, educational attainment; Alt, alternative.

    • ↵* Boldface text indicates P < .05.

    • ↵† Concern about becoming infected with COVID-19. Concern was reported on a 5-point Likert scale (extremely, moderately, somewhat, slightly, not at all). The original (–) threshold divides between moderately/somewhat. The alternative threshold divides between somewhat/slightly.

    • ↵‡ Educational attainment was reported on a 6-point Likert scale (some high school, high school graduate, some college, college graduate, Master's degree and Doctoral/Professional degree). The original (–) threshold divides between College graduate/Master's degree. The alternative threshold divides between some college/college graduate.

    • ↵§ Self-reported health status was reported on a 5-point Likert scale (excellent, very good, good, fair, poor). The original threshold (–) divides between very good/good. The alternative threshold divides between good/fair.

    • View popup
    Appendix Table 7.

    Bivariable Sensitivity Analysis Using Discretized Age

    Response (Intention)*Predictor (Age)cOR (95% CI)P ValueSignificance†
    3 monthsAge 30 to 39 years‡0.83 (0.69-1.01).058
    3 monthsAge 40 to 54 years‡0.84 (0.69-1.01).062
    3 monthsAge >54 years‡0.98 (0.80–1.21).877
    Alt: 1 monthAge 30 to 39 years‡0.93 (0.77-1.13).483
    Alt: 1 monthAge 40 to 54 years‡0.94 (0.78-1.14).532
    Alt: 1 monthAge >54 years‡1.12 (0.91–1.37).289
    • cOR, crude odds ratio; CI, confidence interval; Alt, alternative.

    • ↵* Intention to receive COVID-19 within 3 months or 1 month (Alt) of regulatory approval.

    • ↵† Significance (* P < .05, ** P < .01, *** P < .001).

    • ↵‡ Odds ratio relative to the reference class, age < 30 years.

    • View popup
    Appendix Table 8.

    Multivariable Sensitivity Analysis Using Discretized Age and Various Alternative Dichotomization Thresholds for Predictor Variables Related to Intention to Receive COVID-19 Within 3 Months of Regulatory Approval

    Alternative DichotomizationMultivariable Odds Ratio (95% Cl, P Value)*
    Concern†Edu‡Health§Age 30 to 39 years‖Age 40 to 54 years‖Age > 54 years‖Sex (Men)Influenza
    –––0.68 (0.55-0.83, <.001)0.66 (0.54-0.81, <.001)0.75 (0.60–0.94, .012)2.41 (1.99-2.93, <.001)2.37 (1.76-3.21, <.001)
    ––Alt0.67 (0.55-0.83, <.001)0.65 (0.53-0.80, <.001)0.74 (0.59-0.93, .008)2.41 (1.99-2.93, <.001)2.36 (1.75-3.19, <.001)
    –Alt–0.73 (0.60–0.90, .002)0.73 (0.60–0.90, .003)0.84 (0.67-1.05, .118)2.47 (2.04-3.00, <.001)2.36 (1.75-3.19, <.001)
    –AltAlt0.73 (0.60–0.89, .002)0.72 (0.59-0.89, .002)0.83 (0.66-1.03,.097)2.47 (2.05-3.01, <.001)2.34 (1.74-3.16, <.001)
    Alt––0.69 (0.56-0.85, <.001)0.69 (0.56-0.85, <.001)0.75 (0.60–0.95, .016)2.59 (2.12–3.16, <.001)2.42 (1.79-3.30, <.001)
    Alt–Alt0.68 (0.56-0.84, <.001)0.68 (0.55-0.83, <.001)0.74 (0.59-0.94, .011)2.59 (2.12–3.17, <.001)2.41 (1.78-3.27, <.001)
    AltAlt–0.75 (0.61–0.92, .005)0.76 (0.62–0.94, .009)0.84 (0.67-1.06, .136)2.65 (2.18-3.24, <.001)2.42 (1.79-3.29, <.001)
    AltAltAlt0.74 (0.60–0.91, .004)0.75 (0.61–0.92, .006)0.83 (0.67-1.04, .112)2.65 (2.18-3.24, <.001)2.40 (1.77-3.26, <.001)
    Alternative DichotomizationMultivariable Odds Ratio (95% Cl, P Value)*
    Concern†Edu‡Health§Direct InteractionConcernEducationHealth
    –––0.91 (0.78-1.07, .253)2.40 (2.07-2.79, <.001)1.50 (1.28-1.76, <.001)0.87 (0.73-1.04, .136)
    ––Alt0.92 (0.79-1.07, .296)2.38 (2.05-2.76, <.001)1.52 (1.30–1.78, <.001)0.84 (0.55-1.28, .413)
    –Alt–0.90 (0.77-1.05, .189)2.42 (2.08-2.81, <.001)1.60 (1.29-1.98, <.001)0.86 (0.72–1.03, .098)
    –AltAlt0.91 (0.78-1.06, .224)2.40 (2.07-2.78, <.001)1.63 (1.32–2.02, <.001)0.80 (0.52–1.22, .296)
    Alt––0.88 (0.75-1.02, .096)3.99 (3.34-4.77, <.001)1.51 (1.28-1.77, <.001)0.87 (0.73-1.05, .140)
    Alt–Alt0.88 (0.76-1.03, .117)3.96 (3.31–4.74, <.001)1.52 (1.30–1.79, <.001)0.83 (0.54-1.27, .377)
    AltAlt–0.86 (0.74-1.01, .066)4.01 (3.36-4.80, <.001)1.60 (1.29-1.98, <.001)0.86 (0.72–1.03, .099)
    AltAltAlt0.87 (0.74-1.02, .082)3.98 (3.33-4.76, <.001)1.63 (1.31–2.02, <.001)0.79 (0.52–1.21,.268)
    • CI, confidence interval; Edu, educational attainment; Alt, alternative.

    • ↵* Boldface text indicates P < .05.

    • ↵† Concern about becoming infected with COVID-19. Concern was reported on a 5-point Likert scale (extremely, moderately, somewhat, slightly, not at all). The original (–) threshold divides between moderately/somewhat. The alternative threshold divides between somewhat/slightly.

    • ↵‡ Educational attainment was reported on a 6-point Likert scale (some high school, high school graduate, some college, college graduate, Master's degree and Doctoral/Professional degree). The original (–) threshold divides between College graduate/Master's degree. The alternative threshold divides between some college/college graduate.

    • ↵§ Self-reported health status was reported on a 5-point Likert scale (excellent, very good, good, fair, poor). The original threshold (–) divides between very good/good. The alternative threshold divides between good/fair.

    • ↵‖ Odds ratio relative to the reference class, age < 30 years.

    • View popup
    Appendix Table 9.

    Multivariable Sensitivity Analysis Using Discretized Age and Various Alternative Dichotomization Thresholds for Predictor Variables Related to Intention to Receive COVID-19 Within 1 Month of Regulatory Approval (Alternative Response Variable)

    Alternative DichotomizationMultivariable Odds Ratio (95% Cl, P Value)*
    Concern†Edu‡Health§Age 30 to 39 years‖Age 40 to 54 years‖Age > 54 years‖Sex (Men)Influenza
    –––0.81 (0.66-0.99, .043)0.81 (0.66-1.00, .045)0.95 (0.76-1.18, .621)2.24 (1.88-2.67, <.001)2.22 (1.58-3.19, <.001)
    ––Alt0.80 (0.65-0.98, .034)0.79 (0.65-0.98, .029)0.93 (0.75-1.16, .524)2.24 (1.88-2.67, <.001)2.21 (1.57-3.18, <.001)
    –Alt–0.86 (0.70–1.05, .138)0.88 (0.72–1.07, .201)1.03 (0.83-1.29, .769)2.28 (1.92–2.71, <.001)2.21 (1.57-3.18, <.001)
    –AltAlt0.85 (0.70–1.04, .120)0.86 (0.71–1.06, .157)1.02 (0.82–1.27, .848)2.28 (1.92–2.72, <.001)2.20 (1.56-3.16, <.001)
    Alt––0.83 (0.68-1.02, .079)0.84 (0.68-1.04, .108)0.97 (0.78-1.21, .796)2.27 (1.91–2.71, <.001)2.24 (1.59-3.22, <.001)
    Alt–Alt0.82 (0.67-1.01, .064)0.83 (0.67-1.02, .078)0.96 (0.77-1.19, .698)2.28 (1.91–2.71, <.001)2.23 (1.58-3.20, <.001)
    AltAlt–0.88 (0.72–1.08, .234)0.92 (0.75-1.12, .393)1.06 (0.86-1.32, .574)2.31 (1.94-2.76, <.001)2.24 (1.59-3.22, <.001)
    AltAltAlt0.88 (0.72–1.07, .209)0.90 (0.74-1.11, .330)1.05 (0.85-1.31, .639)2.32 (1.95-2.76, <.001)2.23 (1.58-3.20, <.001)
    Alternative DichotomizationMultivariable Odds Ratio (95% Cl, P Value)*
    Concern†Edu‡Health§Direct InteractionConcernEducationHealth
    –––1.15 (0.99-1.34, .075)2.03 (1.75-2.36, <.001)1.36 (1.16-1.59, <.001)0.86 (0.72–1.03, .113)
    ––Alt1.16 (0.99-1.35, .058)2.01 (1.73-2.33, <.001)1.38 (1.18-1.61, <.001)0.85 (0.54-1.31, .470)
    –Alt–1.14 (0.98-1.32, .101)2.04 (1.75-2.37, <.001)1.53 (1.22-1.94, <.001)0.86 (0.71–1.03, .095)
    –AltAlt1.15 (0.98-1.33, .081)2.02 (1.74-2.35, <.001)1.57 (1.25-1.98, <.001)0.82 (0.52-1.27, .384)
    Alt––1.11 (0.95-1.29, .185)2.73 (2.25-3.33, <.001)1.36 (1.16-1.60, <.001)0.88 (0.73-1.05, .161)
    Alt–Alt1.12 (0.96-1.30, .153)2.71 (2.24-3.30, <.001)1.38 (1.18-1.61, <.001)0.86 (0.55-1.33, .511)
    AltAlt–1.10 (0.94-1.28, .233)2.75 (2.27-3.35, <.001)1.54 (1.22-1.95, <.001)0.87 (0.73-1.04, .138)
    AltAltAlt1.11 (0.95-1.29, .198)2.73 (2.25-3.33, <.001)1.57 (1.25-1.99, <.001)0.83 (0.53-1.28, .419)
    • CI, confidence interval; Edu, educational attainment; Alt, alternative.

    • ↵* Boldface text indicates P < .05.

    • ↵† Concern about becoming infected with COVID-19. Concern was reported on a 5-point Likert scale (extremely, moderately, somewhat, slightly, not at all). The original (–) threshold divides between moderately/somewhat. The alternative threshold divides between somewhat/slightly.

    • ↵‡ Educational attainment was reported on a 6-point Likert scale (some high school, high school graduate, some college, college graduate, Master's degree and Doctoral/Professional degree). The original (–) threshold divides between College graduate/Master's degree. The alternative threshold divides between some college/college graduate.

    • ↵§ Self-reported health status was reported on a 5-point Likert scale (excellent, very good, good, fair, poor). The original threshold (–) divides between very good/good. The alternative threshold divides between good/fair.

    • ↵‖ Odds ratio relative to the reference class, age < 30 years.

    • View popup
    Appendix Table 10.

    Multivariable Sensitivity Analysis for Inclusion of Survey Completion Timestamp on 3-Month Vaccination Intention

    Alternative DichotomizationMultivariable Odds Ratio (95% Cl, P Value)*
    Concern†Edu‡Health§AgeSex (Men)InfluenzaDirect InteractionConcern
    –––0.95 (0.90–1.00, .049)2.43 (2.01– 2.95, <.001)2.34 (1.74-3.17, <.001)0.92 (0.79-1.07, .298)2.40 (2.07-2.79, <.001)
    ––Alt0.94 (0.89-1.00, .033)2.43 (2.01– 2.96, <.001)2.33 (1.73-3.15, <.001)0.93 (0.80–1.08, .359)2.37 (2.05-2.75, <.001)
    –Alt–0.97 (0.92-1.02, .261)2.47 (2.04-3.00, <.001)2.32 (1.73-3.14, <.001)0.91 (0.78-1.06, .224)2.41 (2.07-2.79, <.001)
    –AltAlt0.97 (0.92-1.02, .210)2.47 (2.05-3.00, <.001)2.31 (1.71–3.12, <.001)0.92 (0.79-1.07, .270)2.38 (2.05-2.76, <.001)
    Alt––0.95 (0.90–1.00, .073)2.60 (2.14-3.19, <.001)2.38 (1.76-3.24, <.001)0.88 (0.76-1.03, .117)4.01 (3.36-4.80, <.001)
    Alt–Alt0.95 (0.90–1.00, .050)2.61 (2.14-3.19, <.001)2.36 (1.75-3.21, <.001)0.89 (0.76-1.04, .147)3.97 (3.33-4.75, <.001)
    AltAlt–0.97 (0.92-1.03, .336)2.65 (2.18-3.24, <.001)2.38 (1.76-3.24, <.001)0.87 (0.74-1.02, .081)4.02 (3.36-4.81, <.001)
    AltAltAlt0.97 (0.92-1.02, .273)2.65 (2.18-3.24, <.001)2.36 (1.74-3.21, <.001)0.88 (0.75-1.03, .103)3.98 (3.34-4.76, <.001)
    Alternative DichotomizationMultivariable Odds Ratio (95% Cl, P Value)*
    Concern†Edu‡Health§EducationHealthTimestamp‖
    –––1.41 (1.20–1.64, <.001)0.85 (0.71–1.01, .066)0.99 (0.96-1.01, .241)
    ––Alt1.43 (1.22-1.66, <.001)0.80 (0.53-1.23, .306)0.99 (0.96-1.01, .240)
    –Alt–1.55 (1.25-1.91, <.001)0.84 (0.70–1.01, .059)0.98 (0.96-1.01, .167)
    –AltAlt1.58 (1.28-1.96, <.001)0.78 (0.51–1.19, .239)0.98 (0.96-1.01, .162)
    Alt––1.41 (1.21–1.65, <.001)0.85 (0.71–1.02, .073)0.98 (0.96-1.01, .164)
    Alt–Alt1.43 (1.22-1.67, <.001)0.80 (0.52-1.22, .288)0.98 (0.96-1.01, .163)
    AltAlt–1.55 (1.25-1.92, <.001)0.84 (0.70–1.01, .063)0.98 (0.96-1.01, .115)
    AltAltAlt1.58 (1.28-1.96, <.001)0.77 (0.51–1.18, .224)0.98 (0.96-1.00, .112)
    • CI, confidence interval; Edu, educational attainment; Alt, alternative.

    • ↵* Boldface text indicates P < .05.

    • ↵† Concern about becoming infected with COVID-19. Concern was reported on a 5-point Likert scale (extremely, moderately, somewhat, slightly, not at all). The original (–) threshold divides between moderately/somewhat. The alternative threshold divides between somewhat/slightly.

    • ↵‡ Educational attainment was reported on a 6-point Likert scale (some high school, high school graduate, some college, college graduate, Master's degree and Doctoral/Professional degree). The original (–) threshold divides between College graduate/Master's degree. The alternative threshold divides between some college/college graduate.

    • ↵§ Self-reported health status was reported on a 5-point Likert scale (excellent, very good, good, fair, poor). The original threshold (–) divides between very good/good. The alternative threshold divides between good/fair.

    • ↵‖ Measured in days.

    • View popup
    Appendix Table 11.

    Multivariable Sensitivity Analysis for Inclusion of Survey Completion Timestamp on 1-Month Vaccination Intention

    Alternative DichotomizationMultivariable Odds Ratio (95% Confidence Interval, P Value)*
    Concern†Edu‡Health§AgeSex (Men)InfluenzaDirect InteractionConcern
    –––1.00 (0.95-1.06, .953)2.25 (1.89-2.68, <.001)2.20 (1.56-3.16, <.001)1.16 (0.99-1.35, .060)2.02 (1.74-2.35, <.001)
    ––Alt1.00 (0.94-1.05, .903)2.26 (1.90–2.69, <.001)2.19 (1.56-3.15, <.001)1.17 (1.00 to 1.36, .045)2.00 (1.72-2.32, <.001)
    –Alt–1.02 (0.97-1.08, .462)2.28 (1.91–2.71, <.001)2.20 (1.56-3.15, <.001)1.14 (0.98-1.33, .085)2.03 (1.74-2.36, <.001)
    –AltAlt1.02 (0.96-1.07, .546)2.28 (1.92-2.71, <.001)2.18 (1.55-3.13, <.001)1.15 (0.99-1.34, .066)2.00 (1.73-2.33, <.001)
    Alt––1.01 (0.96-1.07, .740)2.29 (1.92-2.73, <.001)2.22 (1.57-3.18, <.001)1.12 (0.96-1.30, .152)2.75 (2.26-3.35, <.001)
    Alt–Alt1.00 (0.95-1.06, .865)2.29 (1.92-2.73, <.001)2.20 (1.56-3.17, <.001)1.13 (0.97-1.31, .121)2.72 (2.25-3.32, <.001)
    AltAlt–1.03 (0.98-1.09, .295)2.31 (1.94-2.75, <.001)2.22 (1.57-3.19, <.001)1.11 (0.95-1.29, .199)2.75 (2.27-3.35, <.001)
    AltAltAlt1.03 (0.97-1.08, .353)2.32 (1.95-2.76, <.001)2.20 (1.56-3.17, <.001)1.11 (0.96-1.30, .165)2.73 (2.25-3.33, <.001)
    Alternative DichotomizationMultivariable Odds Ratio (95% Confidence Interval, P Value)*
    Concern†Edu‡Health§EducationHealthTimestamp‖
    –––1.29 (1.11–1.50, .001)0.84 (0.70–1.01, .067)0.99 (0.96-1.01, .246)
    ––Alt1.31 (1.13-1.53, <.001)0.82 (0.52-1.27, .388)0.99 (0.96-1.01, .244)
    –Alt–1.50 (1.19-1.90, <.001)0.84 (0.70–1.01, .067)0.98 (0.96-1.01, .184)
    –AltAlt1.54 (1.22-1.94, <.001)0.81 (0.51–1.24, .337)0.98 (0.96-1.01, .180)
    Alt––1.30 (1.11–1.52, <.001)0.86 (0.72-1.03, .102)0.98 (0.96-1.01, .198)
    Alt–Alt1.32 (1.13-1.54, <.001)0.84 (0.53-1.29, .431)0.98 (0.96-1.01, .197)
    AltAlt–1.51 (1.20–1.91, <.001)0.86 (0.72-1.03, .103)0.98 (0.96-1.01, .149)
    AltAltAlt1.55 (1.23-1.95, <.001)0.82 (0.52-1.26, .373)0.98 (0.96-1.01, .146)
    • CI, confidence interval; Edu, educational attainment; Alt, alternative.

    • ↵* Boldface text indicates P < .05.

    • ↵† Concern about becoming infected with COVID-19. Concern was reported on a 5-point Likert scale (extremely, moderately, somewhat, slightly, not at all). The original (–) threshold divides between moderately/somewhat. The alternative threshold divides between somewhat/slightly.

    • ↵‡ Educational attainment was reported on a 6-point Likert scale (some high school, high school graduate, some college, college graduate, Master's degree and Doctoral/Professional degree). The original (–) threshold divides between College graduate/Master's degree. The alternative threshold divides between some college/college graduate.

    • ↵§ Self-reported health status was reported on a 5-point Likert scale (excellent, very good, good, fair, poor). The original threshold (–) divides between very good/good. The alternative threshold divides between good/fair.

    • ↵‖ Measured in days.

    • View popup
    Appendix Table 12.

    Bivariable Sensitivity Analysis Including Race

    Response (Intention)*Predictor (Race)cOR (95% CI)P ValueSignificance†
    3 monthsBlack or African American‡0.16 (0.10–0.25)<.001***
    3 monthsAsian‡1.53 (1.04-2.29).036*
    3 monthsOther/Multiple race‡0.65 (0.48-0.88).006**
    Alt: 1 monthBlack or African American‡0.21 (0.11–0.37)<.001***
    Alt: 1 monthAsian‡1.08 (0.75-1.56).677
    Alt: 1 monthOther/Multiple race‡0.87 (0.63-1.20).401
    • cOR, crude odds ratio; CI, confidence interval; Alt, alternative.

    • ↵* Intention to receive COVID-19 within 3 months or 1 month (Alt) of regulatory approval.

    • ↵† Significance (* P < .05, ** P < .01, *** P < .001).

    • ↵‡ Odds ratio relative to the reference class, White race.

    • View popup
    Appendix Table 13.

    Multivariable Sensitivity Analysis for Inclusion of Four-Level Race (White, Black, Asian, Other/Multiple Race) on 3-Month Vaccination Intention

    Alternative DichotomizationMultivariable Odds Ratio (95% Confidence Interval, P Value)*
    Concern†Edu‡Health§AgeSex (Men)InfluenzaDirect InteractionConcern
    –––0.94 (0.89-1.00, .037)2.48 (2.04-3.03, <.001)2.22 (1.64-3.02, <.001)0.91 (0.78-1.06, .227)2.53 (2.17-2.95, <.001)
    ––Alt0.94 (0.89-0.99, .025)2.48 (2.04-3.03, <.001)2.21 (1.63-3.01, <.001)0.92 (0.79-1.07, .273)2.50 (2.15-2.92, <.001)
    –Alt–0.96 (0.91–1.02, .190)2.53 (2.09-3.09, <.001)2.21 (1.63-3.01, <.001)0.90 (0.77-1.05, .187)2.54 (2.18-2.96, <.001)
    –AltAlt0.96 (0.91–1.02, .153)2.53 (2.09-3.09, <.001)2.20 (1.62-2.99, <.001)0.91 (0.78-1.06, .225)2.51 (2.16-2.93, <.001)
    Alt––0.95 (0.89-1.00, .060)2.65 (2.17-3.26, <.001)2.23 (1.64-3.05, <.001)0.87 (0.74-1.02, .088)4.15 (3.47-4.99, <.001)
    Alt–Alt0.94 (0.89-1.00, .042)2.65 (2.17-3.26, <.001)2.21 (1.62-3.03, <.001)0.88 (0.75-1.03, .110)4.12 (3.44-4.94, <.001)
    AltAlt–0.97 (0.92-1.02, .270)2.71 (2.22-3.32, <.001)2.23 (1.64-3.06, <.001)0.86 (0.74-1.01, .071)4.16 (3.47-4.99, <.001)
    AltAltAlt0.97 (0.91–1.02, .222)2.71 (2.22-3.32, <.001)2.21 (1.62-3.03, <.001)0.87 (0.74-1.02, .089)4.12 (3.45-4.95, <.001)
    Alternative DichotomizationMultivariable Odds Ratio (95% Confidence Interval, P Value)*
    Concern†Edu‡Health§EducationHealthBlack‖Asian‖Other/Multiple Race‖
    –––1.36 (1.16-1.60, <.001)0.86 (0.71–1.03, .098)0.13 (0.08-0.21, <.001)1.15 (0.77-1.76, .509)0.59 (0.43-0.82, .001)
    ––Alt1.38 (1.18-1.62, <.001)0.82 (0.54-1.26, .366)0.13 (0.08-0.22, <.001)1.16 (0.77-1.78, .481)0.59 (0.42-0.81, .001)
    –Alt–1.44 (1.16-1.78, .001)0.85 (0.71–1.02, .082)0.14 (0.08-0.22, <.001)1.20 (0.80–1.83, .394)0.59 (0.43-0.82, .002)
    –AltAlt1.47 (1.18-1.82, <.001)0.80 (0.52-1.23, .299)0.14 (0.08-0.22, <.001)1.21 (0.81–1.85, .365)0.59 (0.43-0.82, .002)
    Alt––1.38 (1.17-1.62, <.001)0.86 (0.72-1.04, .117)0.14 (0.08-0.23, <.001)1.12 (0.74-1.73, .590)0.59 (0.42-0.82, .002)
    Alt–Alt1.39 (1.19-1.64, <.001)0.82 (0.53-1.26, .353)0.14 (0.08-0.23, <.001)1.13 (0.75-1.74, .560)0.58 (0.42-0.81, .001)
    AltAlt–1.44 (1.15-1.79, .001)0.85 (0.71–1.03, .094)0.14 (0.09-0.24, <.001)1.17 (0.77-1.79, .470)0.59 (0.43-0.82, .002)
    AltAltAlt1.46 (1.18-1.82, <.001)0.79 (0.52-1.22, .284)0.14 (0.09-0.24, <.001)1.18 (0.78-1.81, .437)0.59 (0.42-0.82, .002)
    • CI, confidence interval; Edu, educational attainment; Alt, alternative.

    • ↵* Boldface text indicates P < .05.

    • ↵† Concern about becoming infected with COVID-19. Concern was reported on a 5-point Likert scale (extremely, moderately, somewhat, slightly, not at all). The original (–) threshold divides between moderately/somewhat. The alternative threshold divides between somewhat/slightly.

    • ↵‡ Educational attainment was reported on a 6-point Likert scale (some high school, high school graduate, some college, college graduate, Master's degree and Doctoral/Professional degree). The original (–) threshold divides between College graduate/Master's degree. The alternative threshold divides between some college/college graduate.

    • ↵§ Self-reported health status was reported on a 5-point Likert scale (excellent, very good, good, fair, poor). The original threshold (–) divides between very good/good. The alternative threshold divides between good/fair.

    • ↵‖ Odds ratio relative to the reference class, White race.

    • View popup
    Appendix Table 14.

    Multivariable Sensitivity Analysis for Inclusion of Four-Level Race (White, Black, Asian, Other/Multiple) on 1-Month Vaccination Intention

    Alternative DichotomizationMultivariable Odds Ratio (95% Confidence Interval, P Value)*
    Concern†Edu‡Health§AgeSex (Men)InfluenzaDirect InteractionConcern
    –––1.00 (0.95-1.06, .980)2.27 (1.91–2.71, <.001)2.12 (1.50–3.05, <.001)1.14 (0.98-1.33, .094)2.07 (1.77-2.41, <.001)
    ––Alt1.00 (0.94-1.05, .893)2.28 (1.91–2.72, <.001)2.11 (1.49-3.04, <.001)1.15 (0.99-1.34, .073)2.04 (1.76-2.38, <.001)
    –Alt–1.02 (0.97-1.08, .482)2.30 (1.93-2.74, <.001)2.12 (1.50–3.05, <.001)1.13 (0.97-1.32, .119)2.07 (1.78-2.41, <.001)
    –AltAlt1.02 (0.96-1.07, .559)2.31 (1.94-2.75, <.001)2.11 (1.49-3.03, <.001)1.14 (0.98-1.33, .095)2.05 (1.76-2.38, <.001)
    Alt––1.01 (0.95-1.07, .745)2.30 (1.93-2.74, <.001)2.11 (1.50–3.05, <.001)1.10 (0.95-1.29, .210)2.74 (2.26-3.35, <.001)
    Alt–Alt1.01 (0.95-1.06, .853)2.30 (1.93-2.75, <.001)2.11 (1.49-3.03, <.001)1.11 (0.95-1.30, .174)2.72 (2.24-3.32, <.001)
    AltAlt–1.03 (0.98-1.09, .292)2.33 (1.95-2.78, <.001)2.12 (1.50–3.06, <.001)1.09 (0.94-1.28, .251)2.74 (2.26-3.35, <.001)
    AltAltAlt1.03 (0.97-1.08, .342)2.33 (1.96-2.78, <.001)2.11 (1.49-3.05, <.001)1.10 (0.95-1.29, .212)2.72 (2.24-3.32, <.001)
    Alternative DichotomizationMultivariable Odds Ratio (95% Confidence Interval, P Value)*
    Concern†Edu‡Health§EducationHealthBlack‖Asian‖Other/Multiple Race‖
    –––1.28 (1.09-1.49, .002)0.85 (0.71–1.02, .091)0.20 (0.10–0.35, <.001)0.87 (0.59-1.28, .485)0.84 (0.60–1.17, .299)
    ––Alt1.30 (1.11–1.51, <.001)0.84 (0.53-1.29, .428)0.20 (0.10–0.35, <.001)0.88 (0.60–1.29, .525)0.83 (0.59-1.16, .279)
    –Alt–1.44 (1.14-1.83, .002)0.85 (0.71–1.02, .087)0.20 (0.10–0.36, <.001)0.90 (0.61–1.31, .574)0.84 (0.60–1.17, .312)
    –AltAlt1.47 (1.17-1.87, .001)0.82 (0.52-1.27, .382)0.20 (0.10–0.37, <.001)0.91 (0.62-1.33, .624)0.83 (0.59-1.16, .291)
    Alt––1.29 (1.11–1.51, .001)0.87 (0.73-1.05, .143)0.21 (0.11–0.38, <.001)0.87 (0.59-1.28, .490)0.85 (0.60–1.18, .330)
    Alt–Alt1.31 (1.12-1.53, <.001)0.85 (0.54-1.31, .474)0.21 (0.11–0.37, <.001)0.88 (0.60–1.29, .522)0.84 (0.60–1.17, .308)
    AltAlt–1.45 (1.15-1.85, .002)0.87 (0.72-1.04, .136)0.22 (0.11-0.39, <.001)0.90 (0.61-1.32, .591)0.85 (0.60–1.18, .343)
    AltAltAlt1.48 (1.18-1.88, .001)0.83 (0.53-1.29, .421)0.22 (0.11-0.39, <.001)0.91 (0.62-1.33, .631)0.84 (0.60–1.18, .319)
    • CI, confidence interval; Edu, educational attainment; Alt, alternative.

    • ↵* Boldface text indicates P < .05.

    • ↵* †Concern about becoming infected with COVID-19. Concern was reported on a 5-point Likert scale (extremely, moderately, somewhat, slightly, not at all). The original (–) threshold divides between moderately/somewhat. The alternative threshold divides between somewhat/slightly.

    • ↵* ‡Educational attainment was reported on a 6-point Likert scale (some high school, high school graduate, some college, college graduate, Master's degree and Doctoral/Professional degree). The original (–) threshold divides between College graduate/Master's degree. The alternative threshold divides between some college/college graduate.

    • ↵* §Self-reported health status was reported on a 5-point Likert scale (excellent, very good, good, fair, poor). The original threshold (–) divides between very good/good. The alternative threshold divides between good/fair.

    • ↵* ‖Odds ratio relative to the reference class, White race.

PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 34 (3)
The Journal of the American Board of Family Medicine
Vol. 34, Issue 3
May/June 2020
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Acceptance of COVID-19 Vaccination Among Health System Personnel
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
16 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Acceptance of COVID-19 Vaccination Among Health System Personnel
Daniel J. Parente, Akinlolu Ojo, Tami Gurley, Joseph W. LeMaster, Mark Meyer, David M. Wild, Reem A. Mustafa
The Journal of the American Board of Family Medicine May 2021, 34 (3) 498-508; DOI: 10.3122/jabfm.2021.03.200541

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Acceptance of COVID-19 Vaccination Among Health System Personnel
Daniel J. Parente, Akinlolu Ojo, Tami Gurley, Joseph W. LeMaster, Mark Meyer, David M. Wild, Reem A. Mustafa
The Journal of the American Board of Family Medicine May 2021, 34 (3) 498-508; DOI: 10.3122/jabfm.2021.03.200541
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Appendix: Acceptance of COVID-19 vaccination among health system personnel
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • The Most Frequently Read Articles of 2021
  • COVID-19 Pandemic Practices, Payment Models, and Publication Successes: Family Medicine Studies a Variety of Primary Care Questions
  • Google Scholar

More in this TOC Section

  • Associations Between Modifiable Preconception Care Indicators and Pregnancy Outcomes
  • Perceptions and Preferences for Defining Biosimilar Products in Prescription Drug Promotion
  • Evaluating Pragmatism of Lung Cancer Screening Randomized Trials with the PRECIS-2 Tool
Show more Original Research

Similar Articles

Keywords

  • Academic Medical Centers
  • Acute Disease
  • Chronic Disease
  • COVID-19
  • Cross-Sectional Studies
  • Health Personnel
  • Linear Models
  • Logistic Models
  • Outpatients
  • Pandemics
  • Primary Health Care
  • Quality of Life
  • Self Report
  • Surveys and Questionnaires
  • Vaccination

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire