| Literature DB >> 35349382 |
Chia-Wen Wang1,2, Erik Pieter de Jong3, Josemyrne Ashley Faure3, Jaylynn Leigh Ellington3, Chi-Hsin Sally Chen2, Chang-Chuan Chan1,2,3.
Abstract
COVID-19 vaccination is an effective intervention preventing individuals from contracting SARS-CoV-2 or transmitting the virus to others. However, in many countries, vaccine hesitancy has impeded the progress of mass vaccination to reach herd immunity. This study aimed to understand the similarities and differences in the determinants of COVID-19 vaccine hesitancy in Taiwan, the United States, the Netherlands, and Haiti. A qualitative study was conducted by face-to-face interviews with participants in Taiwan and remote online interviews with participants in the United States, the Netherlands, and Haiti. In total, 47 interviews were conducted. A reflective thematic analysis was employed to analyze the collected data. Distrust of COVID-19 vaccines was reported by the participants in all countries. A perception of a lack of necessity or urgency to be vaccinated was reported by the Taiwanese and Haitian participants. Lack of knowledge regarding COVID-19 vaccines was reported by the Taiwanese, U.S. and Haitian participants, contributing to hesitation or refusal to vaccination. Regarding misinformation and rumors, misinformation was found among a few Taiwanese and Dutch participants. Additionally, rumors concerning COVID-19 vaccines were mentioned by the Dutch and Haitian participants. Furthermore, a lack of verified information was reported by the participants in all four countries. Overall, the current study suggests that vaccine hesitancy exists among participants in Taiwan, the United States, the Netherlands, and Haiti. Building trust in the COVID-19 vaccine, cultivating vaccine literacy, clarifying misinformation and rumors concerning COVID-19 vaccines, and providing verified information are critical for increasing public acceptance of the COVID-19 vaccine.Entities:
Keywords: COVID-19; qualitative study; trust issues; vaccine hesitancy; vaccine literacy
Mesh:
Substances:
Year: 2022 PMID: 35349382 PMCID: PMC9225662 DOI: 10.1080/21645515.2022.2050121
Source DB: PubMed Journal: Hum Vaccin Immunother ISSN: 2164-5515 Impact factor: 4.526
Interview guide used to explore the factors influencing COVID-19 vaccine hesitancy
| Topics and questions | Follow up/Probing |
|---|---|
| 1.Knowledge and risk perception of COVID-19 | |
| a.Can you tell me about your opinion/perspective/experience of COVID-19? | Opinion/perspective/experience of COVID-19 |
| b.In your view, what do you think about your risk of getting COVID-19? | If yes, what are the reasons? |
| 2.Opinion or perspective on COVID-19 vaccine | |
| a.Can you tell me about your opinion or perspective on COVID-19 vaccines? | Knowledge of COVID-19 vaccines |
| b.COVID-19 vaccines could be ready by year end or early next year. Do you consider getting a coronavirus vaccine if it is available? | If yes, what are the reasons? |
| c.What do you think about your need to get vaccinated? | Self-assessment of the need to get vaccinated |
| d.How necessary do you think COVID-19 vaccines are? | The necessity of COVID-19 vaccines |
| e.In your view, who should receive a COVID-19 vaccine? | Probe occupation, generation, sex, age, etc. |
| f.Does your religion/philosophy/culture recommend against vaccination? What is the reason? | Religion/philosophy/culture influence |
| 3.Confidence in COVID-19 vaccines | |
| a.Do you trust that COVID-19 vaccines are effective? | If yes, what are the reasons? |
| b.Do you believe that COVID-19 vaccines are safe? | If yes, what are the reasons? |
| c.Do you have access to information/resources that could help you address these concerns? | Resources used to resolve concerns |
| 4.Perceived benefits or negative influences of receiving COVID-19 vaccination | |
| a.What do you think about the benefits of receiving a COVID-19 vaccine? | Probe physical health and social and culture impacts |
| b.What do you think about the negative influences of receiving COVID-19 vaccine? | Probe physical health and social and culture impacts |
Participant characteristics (N = 47)
| Variable | Taiwan (n = 14) | U.S. (n = 13) | Netherlands (n = 10) | Haiti (n = 10) | Total (N = 47) | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | n | % | n | % | |
| Age | ||||||||||
| 20-29 | 6 | 42.9 | 10 | 76.9 | 1 | 10.0 | 4 | 40.0 | 21 | 44.7 |
| 30-39 | 6 | 42.9 | 0 | 0.0 | 2 | 20.0 | 4 | 40.0 | 12 | 25.5 |
| 40-49 | 0 | 0.0 | 1 | 7.7 | 0 | 0.0 | 0 | 0.0 | 1 | 2.1 |
| 50-59 | 0 | 0.0 | 1 | 7.7 | 2 | 20.0 | 2 | 20.0 | 5 | 10.6 |
| ≥60 | 2 | 14.3 | 1 | 7.7 | 5 | 50.0 | 0 | 0.0 | 8 | 17.0 |
| Sex | ||||||||||
| Male | 3 | 21.4 | 3 | 23.1 | 1 | 10.0 | 6 | 60.0 | 13 | 27.7 |
| Female | 11 | 78.6 | 10 | 76.9 | 9 | 90.0 | 4 | 40.0 | 34 | 72.3 |
| Education | ||||||||||
| High school | 0 | 0.0 | 1 | 7.7 | 0 | 0.0 | 0 | 0.0 | 1 | 2.1 |
| Bachelor’s | 8 | 57.1 | 4 | 30.8 | 0 | 0.0 | 3 | 30.0 | 15 | 31.9 |
| Master’s | 5 | 35.7 | 8 | 61.5 | 3 | 30.0 | 5 | 50.0 | 21 | 44.7 |
| Doctorate | 1 | 7.1 | 0 | 0.0 | 0 | 0.0 | 2 | 20.0 | 3 | 6.4 |
| HBO in the Netherlands | 0 | 0.0 | 0 | 0.0 | 6 | 60.0 | 0 | 0.0 | 6 | 12.8 |
| MBO in the Netherlands | 0 | 0.0 | 0 | 0.0 | 1 | 10.0 | 0 | 0.0 | 1 | 2.1 |
| Marital status | ||||||||||
| Single/never married | 12 | 85.7 | 10 | 76.9 | 2 | 20.0 | 5 | 50.0 | 29 | 61.7 |
| Married/living together | 2 | 14.3 | 3 | 23.1 | 5 | 50.0 | 3 | 30.0 | 13 | 27.7 |
| Divorced | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 2 | 20.0 | 2 | 4.3 |
| Widowed | 0 | 0.0 | 0 | 0.0 | 2 | 20.0 | 0 | 0.0 | 2 | 4.3 |
| Other | 0 | 0.0 | 0 | 0.0 | 1 | 10.0 | 0 | 0.0 | 1 | 2.1 |
| Received last season’s or this season’s influenza vaccine | ||||||||||
| Yes | 4 | 28.6 | 2 | 15.4 | 4 | 40.0 | 0 | 0.0 | 10 | 21.3 |
| No | 10 | 71.4 | 11 | 84.6 | 6 | 60.0 | 10 | 100.0 | 37 | 78.7 |
HBO, higher professional education; MBO, senior secondary vocational education and training.
Frequency of the codes, categories, and themes generated from the semistructured interviews across four countries
| | Setting | |||
|---|---|---|---|---|
| Code | TWN | U.S. | NLD | HTI |
| Theme 1: Lack of trust | ||||
| Category: Distrust of COVID-19 vaccines | ||||
| 1.Developed very quickly | 10 (32.3%) | 10 (32.3%) | 6 (19.4%) | 5 (16.1%) |
| 2.Concerns regarding safety | 30 (37.0%) | 18 (22.2%) | 10 (12.3%) | 23 (28.4%) |
| 3.Concerns regarding effectiveness | 18 (34.0%) | 13 (24.5%) | 5 (9.4%) | 17 (32.1%) |
| Category: Distrust in the pharmaceutical industry | ||||
| 4.Rushed to place the vaccine on the market | 5 (18.5%) | 8 (29.6%) | 10 (37.0%) | 4 (14.8%) |
| 5.Doubt that clinical trials were reliable | 4 (50.0%) | 0 (0.0%) | 4 (50.0%) | 0 (0.0%) |
| Category: Distrust in government entities | ||||
| 6.Rushed to approve the vaccine for use | 0 (0.0%) | 3 (100.0%) | 0 (0.0%) | 0 (0.0%) |
| Theme 2: Individual-level influences | ||||
| Category: Individual risk perception | ||||
| 7.Perceived lack of necessity or urgency | 23 (65.7%) | 0 (0.0%) | 0 (0.0%) | 12 (34.3%) |
| 8.Perceived low risk from getting COVID-19 | 15 (53.6%) | 0 (0.0%) | 0 (0.0%) | 13 (46.4%) |
| Category: Beliefs and attitudes regarding health and prevention | ||||
| 9.Preference for natural immunity against COVID-19 | 12 (92.3%) | 0 (0.0%) | 0 (0.0%) | 1 (7.7%) |
| 10.Adopt other precautionary measures | 5 (55.6%) | 0 (0.0%) | 0 (0.0%) | 4 (44.4%) |
| 11.Lack of knowledge regarding COVID-19 vaccines | 6 (40.0%) | 6 (40.0%) | 0 (0.0%) | 3 (20.0%) |
| Theme 3: Contextual influences-communication and the media environment | ||||
| Category: Misinformation and rumors | ||||
| 12.Get COVID from vaccines | 3 (100.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| 13.Vaccines can affect a woman’s fertility | 0 (0.0%) | 0 (0.0%) | 2 (100.0%) | 0 (0.0%) |
| 14.Vaccines are tested in black and low-incomes countries | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 8 (100.0%) |
| 15.COVID–19 is not real | 0 (0.0%) | 0 (0.0%) | 2 (33.3%) | 4 (66.7%) |
| 16.Microchip conspiracy theory | 0 (0.0%) | 0 (0.0%) | 6 (66.7%) | 3 (33.3%) |
| Category: Information environment | ||||
| 17.Information is inconsistent and overwhelming | 0 (0.0%) | 1 (20.0%) | 4 (80.0%) | 0 (0.0%) |
| 18.Lack of verified information to make decision | 11 (22.4%) | 12 (24.5%) | 10 (20.4%) | 16 (32.7%) |
| Theme 4: Contextual influences-influential leaders and historical factors | ||||
| Category: Anti-vaccination lobbies | ||||
| 19.Anti-vaxxers | 0 (0.0%) | 2 (20.0%) | 8 (80.0%) | 0 (0.0%) |
| Category: Historical influences | ||||
| 20.Tuskegee syphilis experiment | 0 (0.0%) | 3 (100.0%) | 0 (0.0%) | 0 (0.0%) |
| 21.Black community | 0 (0.0%) | 6 (42.9%) | 0 (0.0%) | 8 (57.1%) |
| Theme 5: Vaccine/vaccination-specific issues | ||||
| Category: Mode of administration | ||||
| 22.Fears or caution regarding injection | 7 (87.5%) | 1 (12.5%) | 0 (0.0%) | 0 (0.0%) |
| 23.Getting vaccinated twice | 0 (0.0%) | 0 (0.0%) | 2 (100.0%) | 0 (0.0%) |
| Category: New vaccines | ||||
| 24.Wait and see | 27 (57.4%) | 13 (27.7%) | 2 (4.3%) | 5 (10.6%) |
| 25.Many unknowns regarding COVID-19 | 5 (35.7%) | 1 (7.1%) | 2 (14.3%) | 6 (42.9%) |
More than one mention per interview is possible. TWN, Taiwan; U.S., the United States; NLD, the Netherlands; HTI, Haiti.