ArticleVaccine2025
Staff and caregivers' perceptions of digital storytelling to increase influenza vaccine confidence in an urban safety-net healthcare system.
Article in Vaccine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Narrative Reminder Recall to Improve Pediatric Influenza Vaccination: A Pilot Randomized Clinical Trial.JAMA network open · 2026Trial
- Digital Storytelling to Reduce Hispanic Parents' COVID-19 Vaccine Hesitancy: A Pilot Randomized Controlled Trial.Vaccines · 2025Article
- Vaccination Coverage and Adherence to Scheduling in Children Aged 0 to 18 Months: Effects of COVID-19 and Age.Vaccines · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundMyriad risk factors contribute to pediatric influenza vaccination disparities. Digital stories are compelling accounts of lived experience that have been useful in health promotion, especially in minoritized communities. Little is known about how they are perceived as a behavioral intervention to improve influenza vaccination confidence in safety-net healthcare systems.
objectiveTo explore staff and caregivers' perceptions of Digital Storytelling (DST) as a behavioral intervention to improve influenza vaccine confidence among caregivers of children.
methodsThis qualitative study was set in two federally qualified health centers in historically Black neighborhoods in Denver, Colorado, USA. Informal group discussions with clinic staff probed perceptions of vaccine disparities, clinic priorities, and DST. Individual interviews with key staff and caregivers of children 6 months to 5 years old explored perceptions of and preferences for DST to improve vaccine confidence. Interviews were recorded and transcribed verbatim. Three researchers analyzed transcripts via directed content analysis using a deductive approach based off the IM4Equity framework. Final themes were member-checked with clinic staff, pediatric providers, and community advisors.
resultsApproximately 70 staff attended informal group discussions; 13 staff and 12 caregivers participated in key informant interviews. Transcripts from group discussions (n = 6) and individual interviews (n = 23) were included in final analyses. Staff felt existing influenza vaccination strategies were inadequate, perceived digital stories meaningfully, and desired equitable implementation without responsibility for implementing them. Caregivers perceived DST as compelling, noted the importance of trusted storytellers, and suggested relatable stories from diverse caregivers could be sent via text messages in the winter to cue caregivers to action.
conclusionsIn this qualitative study, staff and caregivers perceived DST favorably, with preferences specific to DST implementation in a large, diverse health system. Work to develop and implement text-based DST for pediatric influenza vaccination in this context is warranted.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.