Characterisation of health literacy strengths and weaknesses among people at metabolic and cardiovascular risk: Validity testing of the Health Literacy Questionnaire

Author:

Debussche Xavier12ORCID,Lenclume Victorine2,Balcou-Debussche Maryvette3,Alakian Danielle4,Sokolowsky Claude4,Ballet Delphine3,Elsworth Gerald R5,Osborne Richard H56,Huiart Laetitia27

Affiliation:

1. Service d’Endocrinologie Diabétologie Nutrition, CHU Felix Guyon, Saint-Denis, Réunion, France

2. Centre d’Investigations Cliniques 1410 INSERM, Reunion University Hospital, Saint-Pierre, Réunion, France

3. EA7389 Institut Coopératif Austral pour la Recherche en Education, University of Reunion, Saint-Denis, France

4. Maison du Diabète Obésité risque Cardiovasculaire (M’DOC), Paris, France

5. Health Systems Improvement Unit, Centre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, VIC, Australia

6. Department of Public Health, University of Copenhagen, Copenhagen, Denmark

7. Sciences Économiques et Sociales de la Santé et Traitement de l’Information Médicale, Unité Mixte de Recherche 912 INSERM-IRD, Marseille, France

Abstract

Objectives: Health literacy refers to the ability of individuals to gain access to, use, and understand health information and services in order to maintain a good health. The assessment of health literacy profiles in a population is potentially crucial to respond to health needs. The Health Literacy Questionnaire explores nine dimensions of health literacy and has been shown to display robust psychometric properties. The aim was to test the validity of the multidimensional Health Literacy Questionnaire and to describe the health literacy profiles in a French population at risk of cardiovascular disease. Methods: Data were collected using self-administered questionnaires from 175 participants attending health education and support programmes in local associations of patients in Paris. Analysis included scale reliability, confirmatory factor analysis, and health literacy profiles via descriptive statistics. Results: In confirmatory factor analysis, the nine-factor structure was close to the original Health Literacy Questionnaire. A nine-factor confirmatory factor analysis model was fitted to the 44 items with no cross-loadings or correlated residuals allowed. Given the restricted nature of the model, the fit was satisfactory: χ2WLSMV(866 df) = 1383.81, p = 0.0000, comparative fit index = 0.925, Tucker–Lewis index = 0.918, root mean square error of approximation = 0.058, weighted root mean square residual = 1.175. Composite reliability ranged from 0.77 to 0.91. Among the 9 scales of the Health Literacy Questionnaire, the highest scores were found for scale 1 ‘Feeling understood and supported by healthcare professionals’ and scale 9 ‘Understand health information enough to know what to do’ and the lowest for scale 2 ‘Having sufficient information to manage my health’ and scale 7 ‘Navigating the healthcare system’. Conclusion: The French version of the Health Literacy Questionnaire was shown to be psychometrically robust with good reliability. In the context of France, the 9 scales of Health Literacy Questionnaire allow a thorough assessment of health literacy strengths and weaknesses to respond to health literacy needs and improve the accessibility of health information and services.

Funder

IRESP Institut de Recherche en Santé Publique

National Health and Medical Research Council of Australia Senior Research Fellowship

Publisher

SAGE Publications

Subject

General Medicine

Reference37 articles.

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