| Literature DB >> 35092534 |
Kofi Clarke1, Matthew Pelton2, August Stuart3, Andrew Tinsley3, Shannon Dalessio3, Nana Bernasko3, Emmanuelle D Williams3, Matthew Coates3,4.
Abstract
BACKGROUND AND AIMS: COVID-19 vaccine hesitancy varies across the USA. Data on COVID-19 vaccine hesitancy in patients with inflammatory bowel disease (IBD) are lacking. We assessed COVID-19 vaccine hesitancy and its associated variables in patients with IBD.Entities:
Keywords: COVID-19; Crohn’s disease; Ulcerative colitis; Vaccine hesitancy
Mesh:
Substances:
Year: 2022 PMID: 35092534 PMCID: PMC8800396 DOI: 10.1007/s10620-021-07377-5
Source DB: PubMed Journal: Dig Dis Sci ISSN: 0163-2116 Impact factor: 3.487
Patient demographics and disease characteristics
| Variable | IBD population |
|---|---|
| Age (median yrs) | 42 (IQR:29.5–54) |
| Gender (male) | 119 (49.8%) |
| Disease type | |
| CD | 153 (64.1%) |
| UC | 86 (34.7%) |
| Disease duration (median yrs) | 10.6 (IQR: 6.1–20.3) |
| Race | |
| White | 207 (86.6%) |
| Black or African American | 5 (2.1%) |
| Asian | 5 (2.1%) |
| Other race | 16 (6.7%) |
| Ethnicity | |
| Hispanic | 13 (5.6%) |
| Non-Hispanic | 221 (94.4%) |
Predictors of COVID-19 vaccine hesitancy in IBD patients
| Variable | Odds ratio | 95% CI | |
|---|---|---|---|
| Male gender | 1.1304 | 0.665 to 1.9204 | 0.6503 |
| Older age (> 42) | 0.3305 | 0.1886 to 0.5792 | 0.0001 |
| Married | 0.8017 | 0.4706 to 1.3657 | 0.4160 |
| Low population density zip code | 1.721 | 1.0081 to 2.9393 | 0.0466 |
| No religious preference ( | 1.3684 | 0.8012 to 2.3372 | 0.2508 |
| Catholic ( | 0.3605 | 0.1317 to 0.9864 | 0.0470 |
| Christian (unspecified, | 2.1667 | 0.9403 to 4.9925 | 0.0695 |
| Crohn’s disease | 2.3347 | 1.2821 to 4.2514 | 0.0056 |
| Short disease duration | 0.7160 | 0.3720 to 1.3800 | 0.3160 |
| Any surgical history | 1.5012 | 0.8708 to 2.5880 | 0.1437 |
| Medications | |||
| Biologics (last 12mo) | 2.0222 | 1.1787 to 3.4694 | 0.0106 |
| Immunomodulators (last 12mo) | 1.1077 | 0.6390 to 1.9200 | 0.7285 |
| 5-ASA (last 12mo) | 0.336 | 0.1825 to 0.6185 | 0.0005 |
| Steroids (last 12mo) | 1.1226 | 0.5844 to 2.1562 | 0.7285 |
| Steroids (last 30 days) | 1.9211 | 0.6938 to 5.3193 | 0.2090 |
| Previous vaccine refusal | 8.1273 | 2.8947 to 22.8184 | 0.0001 |
| Self-reported Covid-19 infection | 2.552 | 1.1617 to 5.6062 | 0.0196 |
| Early (pre-3/5/2021) survey date | 2.0089 | 1.1732 to 3.4400 | 0.0110 |
Percent of patients expressing COVID-19 vaccine hesitancy when survey responses are stratified by date range
| Date range | Percent Hesitant | |
|---|---|---|
| 01/14—01/28 | 55 | 43.6 |
| 01/28—03/04 | 58 | 43.1 |
| 03/04—04/15 | 62 | 27.4 |
| 04/15—06/10 | 64 | 28.1 |
Multivariate analysis of variables associated with COVID-19 vaccine hesitancy through ordinal logistic regression
| Variable | Odds ratio | 95% CI | |
|---|---|---|---|
| Early (pre-3/5/2021) survey date | 1.7396 | 1.0157 to 3.0054 | 0.0450 |
| Older age (years) | 0.9603* | 0.9413 to 0.9788 | 0.0001 |
| Previous vaccine refusal | 8.8484 | 3.8410 to 20.9586 | 0.0001 |
| Self-reported Covid-19 infection | 1.1421 | 0.5202 to 2.4525 | 0.7358 |
| Crohn's disease | 1.4806 | 0.7926 to 2.7892 | 0.2201 |
| Catholic | 0.4305 | 0.1574 to 1.0550 | 0.0787 |
| Low population density zip code | 1.2527 | 0.7360 to 2.1366 | 0.4062 |
| 5-ASA (last 12mo) | 0.5643 | 0.2911 to 1.0777 | 0.0856 |
| Biologics (last 12mo) | 1.0370 | 0.5566 to 1.9389 | 0.9090 |
*All variables were dichotomized for analysis except for age, which was treated as a continuous variable
Characteristics of study participants (recruited only at in-office visits), patients who declined survey participation and telehealth patients
| Variable | Study participants | Declined survey | Telehealth |
|---|---|---|---|
| ( | ( | ( | |
| Age (median yrs) | 42 (IQR: 29.5–54) | 42 (IQR: 28–57.7) | 42 (IQR:30.7–53.5) |
| Gender (male) | 119 (49.8%) | 94 (46.1%) | 42 (34.7%) |
| Disease type | |||
| CD | 153 (64.1%) | 126 (61.8%) | 83 (68.6%) |
| UC | 86 (34.7%) | 78 (38.2%) | 38 (31.4%) |
| Race | |||
| White | 207 (86.6%) | 177 (87%) | 101 (83.4%) |
| Black or African American | 5 (2.1%) | 4 (2%) | 2 (1.7%) |
| Asian | 5 (2.1%) | 3 (1.5%) | 1 (0.8%) |
| Other race | 16 (6.7%) | 20 (9.8%) | 17 (14%) |
| Ethnicity | |||
| Hispanic | 13 (56%) | 8 (3.9%) | 4 (3.3%) |
| Non-Hispanic | 221 (94.4%) | 196 (96.1%) | 117 (97.6%) |