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Record W4414329259 · doi:10.3390/vaccines13090981

A Quantitative Exploration of the Relationship Between Healthcare Accessibility and Mass Media in Nigeria Using the Levesque Framework of Healthcare Access

2025· article· en· W4414329259 on OpenAlexaff
Chelsea Gordon, Teresa Paslawski, Thilina Bandara, Shannon Floer, Tayyab Shah

Bibliographic record

VenueVaccines · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsUniversity of Saskatchewan
FundersUNICEF
KeywordsHealth carePsychological interventionMass mediaLogistic regressionMobile phoneGeospatial analysisHealth communication

Abstract

fetched live from OpenAlex

Background/Objectives: This study investigates the relationship between maternal media access and childhood immunization status in Nigeria using the Levesque Framework for Healthcare Access. Methods: Utilizing data from the 2021 MICS-NICS survey, the study analyzes sociodemographic and media/ICT variables through logistic regression and geospatial mapping. Results: The results indicate that region is the strongest predictor of immunization status, with significant disparities in access to media and healthcare services across Nigeria. Television exposure was associated with improved immunization outcomes, while mobile phone ownership was not. Conclusions: The findings emphasize the importance of equitable media access and tailored health communication strategies to improve healthcare accessibility. The study highlights the need for region-specific interventions and continued monitoring of media access trends to support universal health coverage goals.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.200
GPT teacher head0.454
Teacher spread0.253 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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