| Literature DB >> 34908577 |
Matthew D Meng1, Mitchell C Olsen2.
Abstract
As the COVID-19 pandemic continues to impact everyone to some degree, it has become clear that experts from many disparate fields must work together to overcome such public health crises. Even now, a significant portion of U.S. residents remain hesitant to receive a vaccine. In the quest to safely return to a fully open economy, time is of the essence, as many lives and livelihoods can be saved by even marginal improvements in vaccination rates. To reach widespread immunization sooner, science stands to benefit by using market segmentation strategies with vaccine holdouts, much like brands do with customers. As evidence, we present results from a national survey segmented into four groups of COVID-19 vaccine holdouts. When viewed and considered as separate segments, important distinctions regarding the nature and strength of reasons behind COVID-19 vaccine aversion, and the solutions to which people are most open, become clearer.Entities:
Keywords: COVID‐19; pandemic; segmentation strategies; vaccine hesitancy
Year: 2021 PMID: 34908577 PMCID: PMC8661630 DOI: 10.1111/joca.12421
Source DB: PubMed Journal: J Consum Aff ISSN: 0022-0078
Sample demographics
| Total | Unvac. refuse | Unvac. hesit. | Partial refuse | Partial hesit | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
| % |
| % |
| % |
| % |
| % | |
| Sample | 1080 | 100 | 593 | 54.9 | 403 | 37.3 | 27 | 2.5 | 57 | 5.3 |
| Age | ||||||||||
| 18–29 | 294 | 27.2 | 154 | 26.0 | 96 | 23.8 | 11 | 40.7 | 33 | 57.9 |
| 30–44 | 371 | 34.4 | 200 | 33.7 | 139 | 34.5 | 14 | 51.9 | 18 | 31.6 |
| 45–59 | 261 | 24.2 | 147 | 24.8 | 108 | 26.8 | 2 | 7.4 | 4 | 7.0 |
| ≥60 | 154 | 14.3 | 92 | 15.5 | 60 | 14.9 | 0 | 0 | 2 | 3.5 |
| Gender | ||||||||||
| Male | 370 | 34.3 | 194 | 32.7 | 137 | 34.0 | 15 | 55.6 | 24 | 42.1 |
| Female | 706 | 65.4 | 397 | 66.9 | 264 | 65.5 | 12 | 44.4 | 33 | 57.9 |
| Other | 4 | 0.4 | 2 | 0.3 | 2 | 0.5 | 0 | 0 | 0 | 0 |
| Ethnicity | ||||||||||
| White | 793 | 73.4 | 440 | 74.2 | 313 | 77.7 | 12 | 44.4 | 28 | 49.1 |
| Black | 171 | 15.8 | 87 | 14.7 | 57 | 14.1 | 11 | 40.7 | 16 | 28.1 |
| Hispanic/Latino | 56 | 5.2 | 36 | 6.1 | 15 | 3.7 | 0 | 0 | 5 | 8.8 |
| Asian | 14 | 1.3 | 3 | 0.5 | 5 | 1.2 | 3 | 11.1 | 3 | 5.3 |
| Native American/Alaskan | 14 | 1.3 | 8 | 1.3 | 4 | 1.0 | 1 | 3.7 | 1 | 1.8 |
| Pacific Islander | 3 | 0.3 | 1 | 0.2 | 0 | 0 | 0 | 0 | 2 | 3.5 |
| Other | 29 | 2.7 | 18 | 3.0 | 9 | 2.2 | 0 | 0 | 2 | 3.5 |
| Education | ||||||||||
| Less than HS | 70 | 6.5 | 37 | 6.2 | 30 | 7.4 | 3 | 11.1 | 0 | 0 |
| HS/GED | 373 | 34.5 | 238 | 40.1 | 118 | 29.3 | 6 | 22.2 | 11 | 19.3 |
| Some college | 267 | 24.7 | 142 | 23.9 | 110 | 27.3 | 5 | 18.5 | 10 | 17.5 |
| 2‐year degree | 114 | 10.6 | 53 | 8.9 | 47 | 11.7 | 2 | 7.4 | 12 | 21.1 |
| 4‐year degree | 168 | 15.6 | 79 | 13.3 | 70 | 17.4 | 4 | 14.8 | 15 | 26.3 |
| Professional/Master | 65 | 6.0 | 33 | 5.6 | 23 | 5.7 | 4 | 14.8 | 5 | 8.8 |
| Doctorate | 23 | 2.1 | 11 | 1.9 | 5 | 1.2 | 3 | 11.1 | 4 | 7.0 |
| Income | ||||||||||
| <$30,000 | 517 | 47.9 | 307 | 51.8 | 170 | 42.2 | 16 | 59.3 | 24 | 42.1 |
| $30,000–$59,999 | 290 | 26.9 | 163 | 27.5 | 113 | 28.0 | 3 | 11.1 | 11 | 19.3 |
| $60,000–$99,999 | 160 | 14.8 | 75 | 12.6 | 70 | 17.4 | 3 | 11.1 | 12 | 21.1 |
| ≥$100,000 | 113 | 10.5 | 48 | 8.1 | 50 | 12.4 | 5 | 18.5 | 10 | 17.5 |
| Immuno‐comp. | ||||||||||
| Yes | 216 | 20.0 | 110 | 18.5 | 66 | 16.4 | 16 | 59.3 | 24 | 42.1 |
| No | 864 | 80.0 | 483 | 81.5 | 337 | 83.6 | 11 | 40.7 | 33 | 57.9 |
| Political Ideology | ||||||||||
| Liberal (includes leaners) | 416 | 38.5 | 217 | 36.6 | 146 | 36.2 | 20 | 74.1 | 33 | 57.9 |
| Conservative (includes leaners) | 664 | 61.5 | 376 | 63.4 | 257 | 63.8 | 7 | 25.9 | 24 | 42.1 |
| Religiosity | ||||||||||
| Lower | 494 | 45.7 | 256 | 43.2 | 183 | 45.4 | 21 | 77.8 | 34 | 59.6 |
| Higher | 586 | 54.3 | 337 | 56.8 | 220 | 54.6 | 6 | 22.2 | 23 | 40.4 |
| Employ. | ||||||||||
| Employed | 579 | 53.6 | 286 | 48.2 | 227 | 56.3 | 18 | 66.7 | 48 | 84.2 |
| Unemployed | 501 | 46.4 | 307 | 51.8 | 176 | 43.7 | 9 | 33.3 | 9 | 15.8 |
| Essential Worker | ||||||||||
| Yes | 365 | 33.8 | 171 | 28.8 | 146 | 36.2 | 14 | 51.9 | 34 | 59.6 |
| No | 214 | 19.8 | 115 | 19.4 | 81 | 20.1 | 4 | 14.8 | 14 | 24.6 |
| Healthcare Worker | ||||||||||
| Yes | 119 | 11.0 | 48 | 8.1 | 31 | 7.7 | 10 | 37.0 | 30 | 52.6 |
| No | 460 | 42.6 | 238 | 40.1 | 196 | 48.6 | 8 | 29.6 | 18 | 31.6 |
FIGURE 1Summary of four segments who consider themselves unlikely to become fully vaccinated against COVID‐19. Summary based on a national survey completed by 1080 adults in the United States from May 1 to 3, 2021. Respondents were categorized into one of four segments based on two dimensions: (a) whether they are completely unvaccinated (i.e., have not received any dose of a COVID‐19 vaccine) or partially vaccinated (i.e., have received one dose of a two dose vaccine) and (b) whether they indicate they will “definitely not” (i.e., “refuse”) or “probably not” (i.e., “hesitant”) receive the COVID‐19 vaccine (or their second dose of it, when applicable). Figure provides a brief description of the people who belong to each segment, including the percentage of the sample the group comprises, the segment's top three reasons for not receiving a COVID‐19 vaccine (1 = “Not at all a factor for me”, 9 = “Very important factor for me”) and the three solutions they indicated would be most effective at changing their minds (1 = “No impact on my decision”, 9 = “It would definitely encourage me to get the vaccine”). See Supplementary materials for full results, including segment scores on all 17 reasons and 18 solutions provided in the survey