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Abstract
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Title The influence of Navigation Health Literacy (HL-NAV) on self-reported health status: Results of a National Population Survey in France |
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Type Oral Presentation Only |
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Theme Global Health Literacy Summit 2021 |
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Topic Research and new measures for health literacy |
Authors
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Main Author Rajae Touzani1 2 |
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Presenting Author Rajae Touzani1 2 |
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Co-Author Anne-Déborah Bouhnik1 Stéphanie Vandentorren3 Pierre Arwidson3 Francis Guillemin4 Alexandra Rouquette5 6 Julien Mancini1 7 |
Authors' Institution
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Department / Institution / Country Equipe CANBIOS Labellisée Ligue Contre le Cancer / Aix Marseille Univ, INSERM, IRD, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l’Information Médicale / France1 SESSTIM U1252 / Institut Paoli-Calmettes / France2 France / Santé Publique / France3 University of Lorraine / CIC 1433 Clinical Epidemiology, Inserm, CHRU / France4 Bicêtre Hôpitaux Universitaires Paris Sud / Public Health and Epidemiology Department, AP-HP / France5 INSERM U1018 / Université Paris-Saclay, Univ. Paris-Sud, UVSQ, CESP / France6 Biostatistique et Technologies de l’Information et de la Communication / APHM, Hop Timone, BioSTIC / France7 |
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Abstract Content (abstracts should be written in Size 11 font, Arial font style) Background: Difficulties faced by patients in processing information about navigation issues in healthcare systems can have an impact on their state of health. The objective is therefore to examine the contribution of navigation health literacy level to self-reported health status. Methods: We used data from the “Health Literacy Survey 2019” whose aims was to calculate and compare the levels of different aspects of health literacy between different European countries. We used French data collected online from 2 003 people. The variables used in this analysis were socio-demographic (age and gender), a score of financial deprivation (a high score represents high financial deprivation) as well as the use of health care which was measured by the number of visits to the general practitioner during the last 12 months. Navigation health literacy (HL-NAV) was measured on a 12-item scale with scores ranging from 0 to 100. Concerning the self-reported of the state of health, we merged two variables on the state of health in general and the presence of chronic diseases and grouped into three modalities: poor state of health with the presence of chronic diseases, intermediate state of health and very good state of health without any chronic illness. We used an ordered probit model in Stata 14.1. Findings: About 45% of French people declare they have a very good state of health with the absence of chronic diseases while 25% have a bad state of health suffering from chronic diseases. According to the signs of the coefficients, an increase in predictors of age, financial deprivation, and visits to the general practitioner significantly decreases the predicted likelihood of self-reported health. While an increase in HL-NAV predictor significantly increases the predicted likelihood of self-reported health. People with a HL-NAV score of 100 had a mean predicted probability of being unhealthy with chronic illnesses of 0.23 and a mean predicted probability of being healthy without any chronic illnesses of 0.48 (p<0.001). Discussion: Sociodemographic factors but also navigation are good predictors of the state of health. Thus, interventions for increased navigation health literacy can have a favourable effect on health status. |
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