Digital Storytelling to Reduce Hispanic Parents’ COVID-19 Vaccine Hesitancy: A Pilot Randomized Controlled Trial
Abstract
1. Introduction
2. Materials and Methods
2.1. Design, Sample, and Recruitment
2.2. Setting and Procedures
2.2.1. DST Workshop (Phase I)
2.2.2. Community Advisory Board Input
2.2.3. Intervention and Survey Data Collection (Phase II)
2.2.4. Digital Storytelling Intervention
2.2.5. Control Group
2.2.6. Focus Group Discussions
2.3. Measures
2.3.1. Feasibility
2.3.2. Acceptability
2.3.3. Sociodemographic Characteristics
2.3.4. Acculturation
2.3.5. Parent’s Attitudes About Vaccinating Their Child(ren) Against COVID-19
2.3.6. Parent’s Perceived Social Norms About Vaccinating Their Child(ren) Against COVID-19
2.3.7. Parent’s Perceived Behavioral Control to Vaccinate Their Child(ren) Against COVID-19
2.3.8. Parent’s COVID-19 Vaccine Hesitancy
2.3.9. Parent’s Intentions to Vaccinate Child(ren) Against COVID-19
2.3.10. Child’s COVID-19 Vaccine Uptake
2.3.11. Vaccine Barriers
2.3.12. Reactions to Digital Story and Content
2.4. Statistical Analysis
2.5. Qualitative Analysis
3. Results
3.1. Sample Characteristics
3.1.1. Digital Storytelling Workshop (Phase I)
3.1.2. Intervention (Phase II)
3.2. Feasibility
3.3. Acceptability
3.3.1. Exploration of Between-Arm Differences in Patterns of Change and Vaccination Rates
3.3.2. Exploration of Associations of Narrative Quality Assessment Measures with Change in TPB Constructs
3.4. Qualitative Results
“The truth is that those videos move anyone and make you reflect.”(Focus Group [FG] 2, Participant [P] 1).
“Yes, when someone tells their story, it’s more believable… We are seeing the expression of anguish when the problem happens to you, the virus, the disease, and the joy when we are victorious. Or when there was a death, then you become more conscious and you say, ‘I don’t want to see myself suffer the way this person is suffering. Yes, I am going to get [the vaccine] because, as a result of [getting] the vaccine, the lady is alive.”(FG 3, P1)
“I was affected by the stories because I lived through many of those things… These are moments when we thank God for the beauty of having been together. Maybe it had to be that way because he was a very dear uncle to us. That’s what moved me about the stories.”(FG 1, P 3)
“For me, they [the digital stories] were also good because they give us a focus on what is happening in the community and what each family is experiencing. The negative things that we hear are just speculation. But this is something more concrete … [it’s an] experience of a person or a family that has already lived through it. I think it’s positive to see how these people came out of this disease or pandemic.”(FG 1, P2)
“I’m not convinced by this. If I don’t know that person personally, I don’t know if they were paid to say that. I’m not going to put something in my body that I don’t know personally. I don’t like going to the doctor, and at the same time, if I’m going to get sick or die, you never know. No. That’s it.”(FG 3, P 5)
4. Discussion
Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Post-Intervention Focus Group Guide
- Introduction:
- From the time you enrolled in the study, did your child receive more doses of the COVID-19 vaccine? Why or why not?
- Did any of the stories catch your attention and resonate with you? If so, which one or which ones, and why?
- One was from a mother whose son almost died because he was not vaccinated. (Fabiola’s story)
- Another describes her change of perspective when her daughter asked for the vaccine (Juana’s story)
- One was from a mother who, herself, was hospitalized because she was sick with COVID-19 (Julia’s Story)
- One of them was a pregnant mother whose mother died of COVID-19, and experienced many losses during her pregnancy (Martha’s Story)
- After watching the stories, what, if anything, changed in your views on the COVID-19 vaccine?
- If so, why? In what way?
- Was your decision to have your child get another dose of the COVID-19 vaccine influenced in any way by seeing the stories?
- Before you saw other parents’ stories about COVID-19 vaccines, how open-minded were you about vaccinating your child?
- What concerns, if any, did you have about giving your child COVID-19 vaccines before you saw the stories?
- How might seeing similar stories about other types of vaccines help you decide whether to get that vaccine for your child?
- In your opinion, how effective is it to show stories of parents who changed their perspective from hesitant to a confident perspective regarding vaccines? Why or why not?
- What do you think about using personal stories, presented in short videos like what you saw in the study, to provide vaccine education (e.g., flu, MMR) to your children?
- What would be the best way to tell these stories?
- If this intervention didn’t convince you that vaccinating your child is a good option, what would you need to know? Whose perspective would you need to hear, or see (e.g., from a health care provider or a medical consultant)? Is there any other information you would have found helpful in wanting to vaccinate your child?
- What else would you like to share at this time about your experience seeing these stories?
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| Digital Storyteller | Story Content |
|---|---|
| Digital Storyteller 1 | Story of a mother whose child nearly died because she wasn’t vaccinated against COVID-19. |
| Digital Storyteller 2 | Story of a mother who was hospitalized because she became ill from COVID-19. |
| Digital Storyteller 3 | Story of a pregnant mother who experienced loss during her pregnancy after losing her own mother of COVID-19 |
| Digital Storyteller 4 | Story of a woman who changed her perspective towards COVID-19 vaccination after her younger daughter asked to be vaccinated. |
| Characteristic | Information Control (n = 40) | Intervention (n = 40) | Overall (n = 80) |
|---|---|---|---|
| Participant relationship to child a | |||
| Mother | 30 (75.0%) | 35 (87.5%) | 65 (81.3%) |
| Father | 1 (2.5%) | 1 (2.5%) | 2 (2.5%) |
| Other | 9 (22.5%) | 4 (10.0%) | 13 (16.3%) |
| Participant age (yrs) b | 44.0 (13.5) | 45.0 (10.3) | 44.5 (11.9) |
| Participant sex a | |||
| Male | 1 (2.5%) | 1 (2.5%) | 2 (2.5%) |
| Female | 39 (97.5%) | 39 (97.5%) | 78 (97.5%) |
| Participant race/ethnicity a | |||
| White | 2 (5.0%) | 3 (7.5%) | 5 (6.3%) |
| Hispanic/Latino | 37 (92.5%) | 36 (90.0%) | 73 (91.3%) |
| Other | 1 (2.5%) | 1 (2.5%) | 2 (2.5%) |
| Language(s) spoken at home a | |||
| Spanish only | 33 (82.5%) | 32 (80.0%) | 65 (81.3%) |
| English and Spanish | 7 (17.5%) | 8 (20.0%) | 15 (18.8%) |
| Type of community (self-reported) a | |||
| Major City | 34 (85.0%) | 34 (85.0%) | 68 (85.0%) |
| Rural Area | 2 (5.0%) | 0 (0.0%) | 2 (2.5%) |
| Suburban, near major city | 4 (10.0%) | 6 (15.0%) | 10 (12.5%) |
| Participant marital status a | |||
| Married | 22 (55.0%) | 30 (75.0%) | 52 (65.0%) |
| Single | 6 (15.0%) | 4 (10.0%) | 10 (12.5%) |
| Live with a partner | 5 (12.5%) | 3 (7.5%) | 8 (10.0%) |
| Widowed | 3 (7.5%) | 2 (5.0%) | 5 (6.3%) |
| Separated | 4 (10.0%) | 1 (2.5%) | 5 (6.3%) |
| Children under 18 years old living with participant c | 2.00 (1.00, 3.00) | 2.00 (1.00, 3.00) | 2.00 (1.00, 3.00) |
| Missing | 0 (0.0%) | 1 (2.5%) | 1 (1.3%) |
| Participant education a | |||
| 8th grade or less | 9 (22.5%) | 9 (22.5%) | 18 (22.5%) |
| Some high school | 5 (12.5%) | 4 (10.0%) | 9 (11.3%) |
| High school graduate or GED | 15 (37.5%) | 15 (37.5%) | 30 (37.5%) |
| Some college or 2-year degree | 7 (17.5%) | 9 (22.5%) | 16 (20.0%) |
| 4-year college degree | 2 (5.0%) | 1 (2.5%) | 3 (3.8%) |
| More than 4 years of college or advanced degree | 2 (5.0%) | 2 (5.0%) | 4 (5.0%) |
| Participant employment status a | |||
| Full time | 10 (25.0%) | 8 (20.0%) | 18 (22.5%) |
| Part time | 4 (10.0%) | 13 (32.5%) | 17 (21.3%) |
| Not Employed | 22 (55.0%) | 19 (47.5%) | 41 (51.3%) |
| Retired | 4 (10.0%) | 0 (0.0%) | 4 (5.0%) |
| Household income level a | |||
| ≤$30,000 | 10 (25.0%) | 13 (32.5%) | 23 (28.8%) |
| $30,001–50,000 | 13 (32.5%) | 9 (22.5%) | 22 (27.5%) |
| $50,001–75,000 | 3 (7.5%) | 5 (12.5%) | 8 (10.0%) |
| $75,000–100,000 | 1 (2.5%) | 0 (0.0%) | 1 (1.3%) |
| Refused | 13 (32.5%) | 13 (32.5%) | 26 (32.5%) |
| Child age (yrs) b | 8.5 (4.1) | 9.8 (5.0) | 9.2 (4.6) |
| Child sex a | |||
| Female | 26 (65.0%) | 27 (67.5%) | 53 (66.3%) |
| Male | 14 (35.0%) | 13 (32.5%) | 27 (33.8%) |
| Child’s lifetime COVID-19 diagnosis a | |||
| Yes | 13 (32.5%) | 20 (50.0%) | 33 (41.3%) |
| Had symptoms, but not formally diagnosed | 5 (12.5%) | 5 (12.5%) | 10 (12.5%) |
| No | 22 (55.0%) | 13 (32.5%) | 35 (43.8%) |
| Don’t know | 0 (0.0%) | 2 (5.0%) | 2 (2.5%) |
| Child’s lifetime COVID-19 vaccination status a | |||
| Yes | 17 (42.5%) | 22 (55.0%) | 39 (48.8%) |
| No | 22 (55.0%) | 13 (32.5%) | 35 (43.8%) |
| Don’t know | 1 (2.5%) | 5 (12.5%) | 6 (7.5%) |
| COVID-19 vaccine doses child has received a | |||
| Original doses (2 for Pfizer and Moderna), but no booster doses | 17 (42.5%) | 22 (45%) | 39 (48.8%) |
| None, but I intend to vaccinate him/her. | 7 (17.5%) | 3 (7.5%) | 10 (12.5%) |
| None, and I’m not going to vaccinate him/her. | 13 (32.5%) | 12 (30.0%) | 25 (31.3%) |
| Don’t know | 3 (7.5%) | 3 (7.5%) | 6 (7.5%) |
| Where child is likely to get COVID-19 vaccine a | |||
| Community health fair | 10 (25.0%) | 8 (20.0%) | 18 (22.5%) |
| Doctor’s office | 21 (52.5%) | 22 (55.0%) | 43 (53.8%) |
| Community pharmacy | 6 (15.0%) | 4 (10.0%) | 10 (12.5%) |
| Other | 3 (7.5%) | 6 (15.0%) | 9 (11.3%) |
| Child has a primary care provider a | 35 (87.5%) | 36 (90.0%) | 71 (88.8%) |
| Child has health insurance coverage a | 35 (87.5%) | 30 (75.0%) | 65 (81.3%) |
| T1 | T2 | T3 | T1–T2 | T1–T3 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Study Arm | n | M b | (SD c) | n | M | (SD) | n | M | (SD) | r | r |
| TPB a: Positive vaccine attitudes | 0.44 | - | |||||||||
| Information control | 40 | 3.7 | (1.1) | 40 | 4.2 | (1.3) | - | - | - | ||
| Intervention | 39 | 3.9 | (0.8) | 40 | 4.3 | (1.4) | - | - | - | ||
| TPB: Perceived positive social norms | 0.69 | - | |||||||||
| Information control | 40 | 3.9 | (1.4) | 39 | 4.2 | (1.3) | - | - | - | ||
| Intervention | 39 | 4.1 | (1.2) | 40 | 4.4 | (1.4) | - | - | - | ||
| TPB: Perceived behavioral control | 0.70 | - | |||||||||
| Information control | 40 | 4.4 | (1.3) | 39 | 4.9 | (1.2) | - | - | - | ||
| Intervention | 40 | 4.4 | (1.4) | 40 | 4.6 | (1.5) | - | - | - | ||
| TPB: Intention to have child vaccinated | 0.39 | 0.26 | |||||||||
| Information control | 40 | 3.3 | (2.1) | 40 | 3.9 | (2.4) | 30 | 3.9 | (2.3) | ||
| Intervention | 40 | 3.4 | (2.2) | 39 | 4.7 | (2.1) | 37 | 4.6 | (2.4) | ||
| Study Arm | M | 95% CI | d |
|---|---|---|---|
| T2 TPB: Positive vaccine attitudes | |||
| Information control | 4.2 | (3.8, 4.6) | 0.14 |
| Intervention | 4.4 | (4.0, 4.7) | |
| T2 TPB: Perceived positive social norms | |||
| Information control | 4.3 | (4.0, 4.7) | 0.06 |
| Intervention | 4.4 | (4.1, 4.7) | |
| T2 TPB: Perceived behavioral control | |||
| Information control | 4.9 | (4.5, 5.2) | −0.27 |
| Intervention | 4.6 | (4.3, 4.9) | |
| T2 TPB: Intention to have child vaccinated | |||
| Information control | 3.9 | (3.3, 4.5) | 0.41 |
| Intervention | 4.7 | (4.1, 5.4) | |
| T3 TPB: Intention to have child vaccinated | |||
| Information control | 3.9 | (3.1, 4.8) | 0.30 |
| Intervention | 4.6 | (3.9, 5.4) |
| Identification | Transportation | |||
|---|---|---|---|---|
| TPB Construct | r | 95% CI | r | 95% CI |
| Positive vaccination attitudes | 0.53 | (0.26, 0.70) | 0.35 | (0.03, 0.58) |
| Perceived positive social norms | 0.33 | (0.01, 0.56) | 0.24 | (−0.08, 0.50) |
| Perceived behavioral control | 0.06 | (−0.26, 0.35) | 0.00 | (−0.30, 0.31) |
| Intention (T2) | 0.55 | (0.29, 0.71) | 0.44 | (0.14, 0.64) |
| Intention (T3) | 0.27 | (−0.07, 0.53) | 0.25 | (−0.08, 0.51) |
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Kim, S.W.; Lozano, F.; Todd, M.; Larkey, L.; Bahrami, R.; Juwadi, K.; Koskan, A. Digital Storytelling to Reduce Hispanic Parents’ COVID-19 Vaccine Hesitancy: A Pilot Randomized Controlled Trial. Vaccines 2025, 13, 1093. https://doi.org/10.3390/vaccines13111093
Kim SW, Lozano F, Todd M, Larkey L, Bahrami R, Juwadi K, Koskan A. Digital Storytelling to Reduce Hispanic Parents’ COVID-19 Vaccine Hesitancy: A Pilot Randomized Controlled Trial. Vaccines. 2025; 13(11):1093. https://doi.org/10.3390/vaccines13111093
Chicago/Turabian StyleKim, Sunny W., Fernanda Lozano, Michael Todd, Linda Larkey, Raheleh Bahrami, Kavya Juwadi, and Alexis Koskan. 2025. "Digital Storytelling to Reduce Hispanic Parents’ COVID-19 Vaccine Hesitancy: A Pilot Randomized Controlled Trial" Vaccines 13, no. 11: 1093. https://doi.org/10.3390/vaccines13111093
APA StyleKim, S. W., Lozano, F., Todd, M., Larkey, L., Bahrami, R., Juwadi, K., & Koskan, A. (2025). Digital Storytelling to Reduce Hispanic Parents’ COVID-19 Vaccine Hesitancy: A Pilot Randomized Controlled Trial. Vaccines, 13(11), 1093. https://doi.org/10.3390/vaccines13111093

