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Record W4405734560 · doi:10.1016/j.vaccine.2024.126618

“They need to speak a language everyone can understand”: Accessibility of COVID-19 vaccine information for Canadian adults with intellectual and developmental disabilities

2024· article· en· W4405734560 on OpenAlexafffundabout
Sabrina Campanella, Tiziana Volpe, Yousef Safar, Yona Lunsky

Bibliographic record

VenueVaccine · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsCentre for Addiction and Mental Health
FundersPublic Health Agency of Canada
KeywordsCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PsychologyInternet privacyVirologyMedicineComputer scienceInfectious disease (medical specialty)Outbreak

Abstract

fetched live from OpenAlex

Accessible vaccine information is one vital component of effective vaccination programs, however, there is limited research that explores how people with disabilities engage with public health messaging. This study aimed to understand how adults with intellectual and developmental disabilities (IDD) and their caregivers navigated Canada's public health communications regarding COVID-19 vaccines. A national survey on the accessibility of vaccine information was conducted in the spring and summer of 2022. Surveys were completed by 208 adults with IDD, 102 family caregivers and friends, and 54 staff. Quantitative data were analyzed descriptively, and descriptive qualitative content analysis was applied to open-ended survey responses. Vaccine information was difficult to understand and was not accessible to many people with IDD and their caregivers. Approximately 75 % of adults with IDD found COVID-19-related information challenging to comprehend, followed by 69 % of family/friends and 56 % of staff. All three groups indicated they felt overwhelmed by the large quantity of information they had to navigate (adults with IDD, 72 %; family/friends, 65 %; staff, 70 %) and experienced difficulties such as finding trustworthy sources and identifying vaccine misinformation and disinformation. Respondents offered recommendations to improve public health messaging and the accessibility of future vaccine campaigns. Our study explored the experiences of Canadian adults with IDD and caregivers while navigating COVID-19 vaccine information, revealing significant barriers. To address these barriers and improve vaccine uptake, public health communications must ensure accessibility throughout every stage of immunization, including education campaigns, appointment booking, vaccination appointment, and aftercare services. Recommendations include using Easy Read language and multiple formats, supporting caregivers and community groups, and enlisting trusted community messengers to disseminate accurate information and build confidence among adults with IDD and their caregivers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0150.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.290
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes3
Has abstractyes

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