Pharmacists’ Perceptions and Drivers of Immunization Practices for COVID-19 Vaccines: Results of a Nationwide Survey Prior to COVID-19 Vaccine Emergency Use Authorization
Abstract
:1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Characteristic | All Respondents, n (%) |
---|---|
Regions of the United States | |
Northeast | 289 (45.7) |
Southeast | 124 (19.6) |
Southwest | 39 (6.2) |
Midwest | 114 (18) |
West | 66 (10.4) |
Gender | |
Male | 227 (35.9) |
Female | 396 (62.7) |
Transgender man/female-to-male | 0 (0) |
Transgender woman/male-to-female | 0 (0) |
Non-binary, genderqueer, or gender nonconforming | 1 (0.16) |
Other | 0 (0) |
Prefer not to answer | 8 (1.3) |
Age | |
Range, years | 23–73 |
Mean ± Standard Deviation, years | 39 ± 12.3 |
18–55 years | 538 (85.1) |
>55 years | 88 (13.9) |
Missing | 6 (0.9) |
Race | |
White | 427 (67.6) |
Asian | 115 (18.2) |
Black/Latinx/Other | 90 (14.2) |
High risk for progression to severe COVID-19 1 | |
Yes | 136 (21.5) |
No | 496 (78.5) |
Years as a practicing pharmacist | |
Range | 0–50 |
Mean ± Standard Deviation | 13.9 ± 12.3 |
0–5 | 203 (32.1) |
6–10 | 126 (19.9) |
11–20 | 139 (22) |
21–30 | 75 (11.9) |
31–40 | 55 (8.7) |
41–50 | 28 (4.4) |
Missing | 6 (0.9) |
Primary pharmacy practice setting | |
Direct patient care 2 | 434 (68.7) |
Indirect patient care 3 | 195 (30.9) |
Missing | 3 (0.5) |
Specialized therapeutic area 4 | |
Total pharmacists specialized | 407 (64.4) |
Ambulatory care | 51 (8.1) |
Infectious disease/HIV | 93 (14.7) |
Transplant | 1 (0.2) |
Oncology | 42 (6.6) |
Neurology | 12 (1.9) |
Anticoagulation/cardiology | 11 (1.7) |
Critical care | 29 (4.6) |
Emergency medicine | 18 (2.8) |
Pediatrics | 11 (1.7) |
Geriatrics | 12 (1.9) |
Internal medicine | 55 (8.7) |
Other | 72 (11.4) |
Total pharmacists not specialized | 225 (35.6) |
Vaccinate ≤ 1 Year after Vaccine Approval, n (%) | Vaccinate >1 Year after Vaccine after Approval, n (%) | p-Value * | |
---|---|---|---|
5 category comparisons: | |||
Pharmacists’ willingness to RECEIVE a COVID-19 vaccine, n = 632 | |||
Extremely unlikely | 83 (13.1) | 45 (7.1) | 0.00009 |
Somewhat unlikely | 70 (11.1) | 50 (7.9) | |
Neither likely nor unlikely | 55 (8.7) | 44 (7) | |
Somewhat likely | 173 (27.4) | 175 (27.7) | |
Extremely likely | 251 (39.7) | 318 (50.3) | |
Pharmacists’ willingness to RECOMMEND a COVID-19 vaccine, n = 632 | |||
Extremely unlikely | 50 (7.9) | 28 (4.4) | p < 0.00001 |
Somewhat unlikely | 64 (10.1) | 23 (3.6) | |
Neither likely nor unlikely | 117 (18.5) | 68 (10.8) | |
Somewhat likely | 206 (32.6) | 180 (28.5) | |
Extremely likely | 195 (30.9) | 333 (52.7) | |
2 category comparisons: | |||
Pharmacists’ willingness to RECEIVE a COVID-19 vaccine, n = 632 | |||
Somewhat likely/extremely likely | 424 (67.1) | 493 (78) | 0.000014 |
Other (neither likely nor unlikely, somewhat unlikely, extremely unlikely) | 208 (32.9) | 139 (22) | |
Pharmacists’ willingness to RECOMMEND a COVID-19 vaccine, n = 632 | |||
Somewhat likely/extremely likely | 401 (63.4) | 513 (81.2) | p < 0.00001 |
Other (neither likely nor unlikely, somewhat unlikely, extremely unlikely) | 231 (36.6) | 119 (18.8) |
Strongly Disagree | Disagree | Neither Agree nor Disagree | Agree | Strongly Agree | |
---|---|---|---|---|---|
Perceptions of COVID-19 | |||||
I am concerned about becoming infected with SARs-CoV-2, n = 618 | 27 (4.4) | 61 (9.9) | 66 (10.7) | 305 (49.4) | 159 (25.7) |
My daily work will be affected if I get COVID-19, n = 618 | 5 (0.8) | 28 (4.5) | 53 (8.6) | 196 (31.7) | 339 (54.9) |
I have been following the news and literature of COVID-19 vaccines, n = 632 | 9 (1.4) | 12 (1.9) | 14 (2.2) | 293 (46.4) | 304 (48.1) |
I believe COVID-19 will be a seasonal virus, n = 632 | 116 (18.4) | 214 (33.9) | 216 (34.2) | 69 (10.9) | 17 (2.7) |
COVID-19 can occur in any season and is dependent on human control to slow the spread, n = 632 | 3 (0.5) | 20 (3.2) | 38 (6) | 243 (38.4) | 328 (51.9) |
Perceptions of COVID-19 vaccines | |||||
I would feel protected if I received a COVID-19 vaccination, n = 616 | 18 (2.9) | 56 (9.1) | 182 (29.5) | 296 (48.1) | 64 (10) |
I would fear for serious side effects from the COVID-19 vaccine, n = 616 | 51 (8.3) | 150 (24.4) | 157 (25.5) | 183 (29.7) | 75 (12.2) |
I would doubt or be suspicious about the efficacy of a new COVID-19 vaccine, n = 616 | 42 (6.8) | 160 (26) | 160 (26) | 184 (29.9) | 70 (11.4) |
I would worry that the FDA overestimated the safety of the COVID-19 vaccine, n = 616 | 39 (6.3) | 145 (23.5) | 127 (20.6) | 214 (34.7) | 91 (14.8) |
Variables | Likely to RECEIVE Vaccine ≤ 1 Year from Vaccine Approval, n = 632 | Likely to RECEIVE Vaccine > 1 Year from Vaccine Approval, n = 632 | |||||
---|---|---|---|---|---|---|---|
Extremely Likely or Somewhat Likely * (n = 424) | Extremely Unlikely, Somewhat Unlikely, Neither Likely nor Unlikely * (n = 208) | p-Value | Extremely Likely or Somewhat Likely * (n = 493) | Extremely Unlikely, Somewhat Unlikely, Neither Likely nor Unlikely * (n = 139) | p-Value | p-Value *** | |
COVID-19 exposure or personal experience | |||||||
Confirmed diagnosis of COVID-19 ** | |||||||
Yes | 9 (2.1) | 5 (2.4) | 0.82 | 10 (2) | 4 (2.9) | 0.55 | 0.92 |
No | 415 (97.9) | 203 (97.6) | 483 (98) | 135 (97.1) | |||
Exposed to a person with COVID-19 based on the CDC definition of exposure | |||||||
Yes | 90 (21.2) | 62 (29.8) | 0.46 | 117 (23.7) | 35 (25.2) | 0.59 | 0.66 |
No | 253 (59.7) | 106 (51) | 285 (57.8) | 74 (53.2) | |||
Unsure | 81 (12.8) | 40 (6.3) | 91 (14.4) | 30 (4.7) | |||
Had a love one fall critically ill or pass away from COVID-19 ** | |||||||
Yes | 50 (11.8) | 38 (18.3) | 0.27 | 71 (14.4) | 17 (12.2) | 0.51 | 0.24 |
No | 374 (88.2) | 170 (81.7) | 422 (85.6) | 122 (87.8) | |||
Primary pharmacy practice setting | |||||||
Direct patient care | 275 (64.7) | 159 (76.4) | 0.004 | 329 (66.7) | 105 (75.5) | 0.17 | 0.55 |
Indirect patient care | 148 (23.4) | 47 (7.4) | 161 (25.5) | 34 (5.4) | |||
Missing | 1 (0.2) | 2 (0.3) | 3 (100) | 0 (0) | |||
Background in training | |||||||
Post-doctoral training | 290 (68.4) | 112 (53.8) | 329 (66.7) | 73 (52.5) | |||
No post-doctoral training | 134 (31.6) | 96 (46.2) | 0.00035 | 164 (33.3) | 66 (47.5) | 0.002 | 0.59 |
Region of the USA | |||||||
Northeast | 178 (42) | 106 (51) | 217 (44) | 67 (48.2) | |||
Southeast | 89 (21) | 42 (20.2) | 100 (20.3) | 31 (22.3) | |||
Southwest | 25 (5.9) | 12 (5.8) | 29 (5.9) | 8 (5.8) | |||
Midwest | 80 (18.9) | 32 (15.4) | 0.18 | 90 (18.3) | 22 (15.8) | 0.67 | 0.98 |
West | 52 (12.3) | 16 (7.7) | 57 (11.6) | 11 (7.9) |
Variables | Likely to RECOMMEND TO PATIENTS ≤ 1 Year from Vaccine Approval, n = 632 | Likely to RECOMMEND TO PATIENTS > 1 Year after Vaccine Approval, n = 632 | |||||
---|---|---|---|---|---|---|---|
Extremely Likely or Somewhat Likely * (n = 401) | Extremely Unlikely, Somewhat Unlikely, neither Likely nor Unlikely * (n = 231) | p-Value | Extremely Likely or Somewhat Likely * (n = 513) | Extremely Unlikely, Somewhat Unlikely, neither Likely nor Unlikely * (n = 119) | p-Value | p-Value *** | |
COVID-19 exposure or personal experience | |||||||
Confirmed diagnosis of COVID-19 ** | 0.82 | 0.26 | 0.08 | ||||
Yes | 9 (2.2) | 5 (2.2) | 13 (2.5) | 1 (0.84) | |||
No | 392 (97.8) | 226 (97.8) | 500 (97.5) | 118 (99.2) | |||
Exposed to a person with COVID-19 based on the CDC definition of exposure | 0.11 | 0.67 | 0.66 | ||||
Yes | 86 (21.4) | 66 (28.6) | 123 (24) | 29 (24.4) | |||
No | 238 (59.4) | 121 (52.4) | 295 (57.5) | 64 (53.8) | |||
Unsure | 77 (19.2) | 44 (19) | 95 (18.5) | 26 (21.8) | |||
Had a love one fall critically ill or pass away from COVID-19 ** | 0.36 | 0.67 | 0.76 | ||||
Yes | 52 (13) | 36 (15.6) | 70 (13.6) | 18 (15.1) | |||
No | 349 (87) | 195 (84.4) | 443 (86.4) | 101 (84.9) | |||
Primary pharmacy practice setting | 0.02 | 0.19 | 0.57 | ||||
Direct patient care | 262 (65.3) | 172 (74.5) | 346 (67.4) | 88 (73.9) | |||
Indirect patient care | 138 (34.4) | 57 (24.7) | 164 (32) | 31 (26.1) | |||
Missing | 1 (0.2) | 2 (0.9) | 3 (0.6) | 0 (0) | |||
Background in training | 0.000082 | 0.0038 | 0.33 | ||||
Post-doctoral training | 278 (69.3) | 124 (53.7) | 340 (66.3) | 62 (52.1) | |||
No post-doctoral training | 123 (30.7) | 107 (46.3) | 173 (33.7) | 57 (47.9) | |||
Region of the USA | 0.03 | 0.15 | 0.90 | ||||
Northeast | 167 (41.6) | 117 (50.6) | 230 (44.8) | 54 (45.4) | |||
Southeast | 82 (20.4) | 49 (21.2) | 100 (19.5) | 31 (26.1) | |||
Southwest | 26 (6.5) | 11 (4.8) | 31 (6) | 6 (5) | |||
Midwest | 72 (18) | 40 (17.3) | 90 (17.5) | 22 (18.5) | |||
West | 54 (13.5) | 14 (6.1) | 62 (12.1) | 6 (5) |
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Jacob, S.S.; Bridgeman, M.B.; Kim, H.; Toscani, M.; Kohler, R.; Shiau, S.; Jimenez, H.R.; Barone, J.A.; Narayanan, N. Pharmacists’ Perceptions and Drivers of Immunization Practices for COVID-19 Vaccines: Results of a Nationwide Survey Prior to COVID-19 Vaccine Emergency Use Authorization. Pharmacy 2021, 9, 131. https://doi.org/10.3390/pharmacy9030131
Jacob SS, Bridgeman MB, Kim H, Toscani M, Kohler R, Shiau S, Jimenez HR, Barone JA, Narayanan N. Pharmacists’ Perceptions and Drivers of Immunization Practices for COVID-19 Vaccines: Results of a Nationwide Survey Prior to COVID-19 Vaccine Emergency Use Authorization. Pharmacy. 2021; 9(3):131. https://doi.org/10.3390/pharmacy9030131
Chicago/Turabian StyleJacob, Sonia Susan, Mary Barna Bridgeman, Hyoeun Kim, Michael Toscani, Racquel Kohler, Stephanie Shiau, Humberto R. Jimenez, Joseph A. Barone, and Navaneeth Narayanan. 2021. "Pharmacists’ Perceptions and Drivers of Immunization Practices for COVID-19 Vaccines: Results of a Nationwide Survey Prior to COVID-19 Vaccine Emergency Use Authorization" Pharmacy 9, no. 3: 131. https://doi.org/10.3390/pharmacy9030131
APA StyleJacob, S. S., Bridgeman, M. B., Kim, H., Toscani, M., Kohler, R., Shiau, S., Jimenez, H. R., Barone, J. A., & Narayanan, N. (2021). Pharmacists’ Perceptions and Drivers of Immunization Practices for COVID-19 Vaccines: Results of a Nationwide Survey Prior to COVID-19 Vaccine Emergency Use Authorization. Pharmacy, 9(3), 131. https://doi.org/10.3390/pharmacy9030131