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

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          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: χ 2 WLSMV(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.

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          Most cited references19

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          Distribution of health literacy strengths and weaknesses across socio-demographic groups: a cross-sectional survey using the Health Literacy Questionnaire (HLQ)

          Background Recent advances in the measurement of health literacy allow description of a broad range of personal and social dimensions of the concept. Identifying differences in patterns of health literacy between population sub-groups will increase understanding of how health literacy contributes to health inequities and inform intervention development. The aim of this study was to use a multi-dimensional measurement tool to describe the health literacy of adults in urban and rural Victoria, Australia. Methods Data were collected from clients (n = 813) of 8 health and community care organisations, using the Health Literacy Questionnaire (HLQ). Demographic and health service data were also collected. Data were analysed using descriptive statistics. Effect sizes (ES) for standardised differences in means were used to describe the magnitude of difference between demographic sub-groups. Results Mean age of respondents was 72.1 (range 19–99) years. Females comprised 63 % of the sample, 48 % had not completed secondary education, and 96 % reported at least one existing health condition. Small to large ES were seen for mean differences in HLQ scales between most demographic groups. Compared with participants who spoke English at home, those not speaking English at home had much lower scores for most HLQ scales including the scales ‘Understanding health information well enough to know what to do’ (ES −1.09 [95 % confidence interval (CI) -1.33 to −0.84]), ‘Ability to actively engage with healthcare providers’ (ES −1.00 [95 % CI −1.24, −0.75]), and ‘Navigating the healthcare system’ (ES −0.72 [95 % CI −0.97, −0.48]). Similar patterns and ES were seen for participants born overseas compared with those born in Australia. Smaller ES were seen for sex, age group, private health insurance status, number of chronic conditions, and living alone. Conclusions This study has revealed some large health literacy differences across nine domains of health literacy in adults using health services in Victoria. These findings provide insights into the relationship between health literacy and socioeconomic position in vulnerable groups and, given the focus of the HLQ, provide guidance for the development of equitable interventions.
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            Rapid assessment of literacy levels of adult primary care patients.

            Health education materials, medical instructions, consent forms, and self-report questionnaires are often given to patients with little regard for their ability to read them. Reading ability is rarely tested in medical settings. The Rapid Estimate of Adult Literacy in Medicine (REALM) was developed as a quick screening tool to assist physicians in identifying patients with limited reading skills and in estimating patient reading levels. This information can be used to tailor materials and instructions to patients' abilities. The REALM and the reading sections of the Peabody Individual Achievement Test-Revised and the Slosson Oral Reading Test were used to test reading ability in 207 adults in six public and private primary care clinics. REALM scores correlated highly with those of the standardized reading tests. The REALM, which takes three to five minutes to administer and score, appears to be a practical instrument to estimate patient literacy in primary care, patient education, and medical research.
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              Chronic illness, expert patients and care transition.

              During the last century demographic and epidemiological transitions have had a radical impact upon health and health service provision. A considerable body of research on the sociological aspects of living with chronic illness has accumulated. Debate has focused on how social environments shape disability-related experiences, and the extent to which individual responses define health outcomes. Through the establishment of the Expert Patients Programme (EPP) in 2001, the Department of Health has sought to enhance NHS patients' self-management capacities. This paper discusses three areas relevant to this: the policy formation process leading up to the EPP's present stage of development; the evidence base supporting claims made for its effectiveness; and the significance of psychological concepts such as self-efficacy in approaches to improving public health. The conclusion discusses NHS developments in primary care and public involvement in health and healthcare, and the implications that initiatives such as the EPP carry for the future. It is argued that to facilitate a constructive process of 'care transition' in response to epidemiological and allied change, awareness of cognitive/psychological factors involved in illness behaviours should not draw attention away from the social determinants and contexts of health.
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                Author and article information

                Journal
                SAGE Open Med
                SAGE Open Med
                SMO
                spsmo
                SAGE Open Medicine
                SAGE Publications (Sage UK: London, England )
                2050-3121
                21 September 2018
                2018
                : 6
                : 2050312118801250
                Affiliations
                [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
                Author notes
                [*]Xavier Debussche, Service d’Endocrinologie Diabétologie Nutrition, CHU Felix Guyon, Allée des topazes CS11021, 97400 Saint-Denis, La Réunion, France. Email: xavier.debussche@ 123456chu-reunion.fr
                Author information
                https://orcid.org/0000-0003-3087-4297
                Article
                10.1177_2050312118801250
                10.1177/2050312118801250
                6154264
                30319778
                21002012-9a6e-4661-bd20-3817a539c6a2
                © The Author(s) 2018

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 7 May 2018
                : 26 August 2018
                Funding
                Funded by: IRESP Institut de Recherche en Santé Publique, ;
                Award ID: AAP 2012-20
                Funded by: National Health and Medical Research Council of Australia Senior Research Fellowship, ;
                Award ID: APP1059122
                Categories
                Original Article
                Custom metadata
                January-December 2018

                epidemiology/public health,health literacy,france,validity testing,cardiovascular risk

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