@misc{10498/37311,
year = {2025},
url = {http://hdl.handle.net/10498/37311},
abstract = {Objectives: This study aimed to describe the COVID-19 vaccination health literacy questionnaire (CVHL-Q) and test its psychometric properties in the Spanish general population using Classic Test Theory (CTT) and Rasch measurement analysis.

Study design: A cross-sectional, observational study was conducted among the Spanish general population in February 2022.

Methods: An online survey was administered to a nationally representative sample of 1067 people aged 18 years or older. To measure COVID-19 Vaccination Health Literacy (CVHL) a short questionnaire was developed by the research team. The psychometric properties of the CVHL-Q were explored using Rasch analysis and CTT, following recommended practices for validation of rating scales.

Results: The CVHL index mean was 34.3 (SD: 11.6, range: 0-50) with 39.7 % of participants showing limited COVID-19 vaccine literacy (score ≤33 points). The instrument exhibited satisfactory internal consistency. Regarding discriminative validity, not all the a-priori hypotheses were confirmed: younger individuals had lower CVHL-Q scores, and no association was found with education level. A final model based on a random subsample of 300 participants showed a good fit to the Rasch model (χ2 = 31.9, p = 0.044 with Benferroni correction) and satisfactory reliability (PSI = 0.718). All items displayed ordered thresholds and acceptable residual fit.

Conclusions: The CVHL-Q is a short, questionnaire with robust measurement properties that allow assessing the ability of population to find, understand, use and appraise the information on COVID-19 vaccines. It might be useful in designing communication campaigns and to assess pandemic preparedness.},
publisher = {Elsevier},
keywords = {COVID-19},
keywords = {Health literacy},
keywords = {Psychometrics},
keywords = {Vaccine literacy},
title = {The COVID-19 vaccination health literacy questionnaire (CVHL-Q): Design and validation according to classic psychometric and Rasch analyses},
doi = {10.1016/j.puhe.2025.105842},
author = {Rodríguez‑Blázquez, Carmen and Ayala, Alba and Bas Sarmiento, María del Pilar and Fernández Gutiérrez, Martina and Falcón, María and Romay‑Barja, María and Forjaz, Maria João},
}