Large diversity in Danish health literacy profiles: perspectives for care of long-term illness and multimorbidity

Abstract Background Health literacy is an important, modifiable, social determinant of health. This study aims to explore health literacy challenges of people with long-term illness or multimorbidity and provide detailed profiles revealing health literacy strengths and weaknesses within a Danish pop...

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Veröffentlicht in:European journal of public health 2020-02, Vol.30 (1), p.75-80
Hauptverfasser: Aaby, Anna, Beauchamp, Alison, O’Hara, Jonathan, Maindal, Helle T
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container_title European journal of public health
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creator Aaby, Anna
Beauchamp, Alison
O’Hara, Jonathan
Maindal, Helle T
description Abstract Background Health literacy is an important, modifiable, social determinant of health. This study aims to explore health literacy challenges of people with long-term illness or multimorbidity and provide detailed profiles revealing health literacy strengths and weaknesses within a Danish population. Methods In this cross-sectional study among Danish individuals (n = 490), health literacy was assessed using the nine-scale Health Literacy Questionnaire (HLQ). Using multiple logistic regression and hierarchical cluster analysis, we estimated the association between HLQ scale scores and the likelihood of long-term illness and multimorbidity, and identified socio-demographic and health characteristics related to profiles of health literacy strengths and weaknesses. Results An increase in ‘actively managing my health’ and ‘social support for health’ decreased the odds of having a long-term illness [odds ratio, OR 0.53 (0.31–0.9); OR 0.43 (0.24–0.74)] and multimorbidity [OR 0.51 (0.26–0.98); OR 0.33 (0.17–0.62)], respectively. Conversely, an increase in ‘healthcare provider support’ increased the odds of having long-term illness [OR 2.97 (1.78–5.08)] and multimorbidity [OR 2.94 (1.53–5.87)], respectively. Five profiles were identified based on the cluster analysis. Each cluster was characterized by specific health characteristics, e.g. Cluster A by better health status (χ2 = 39.976 (4), P < 0.001) and well-being (χ2 = 28.832 (4), P < 0.001) and Cluster D by poor health status (χ2 = 39.976 (4), P < 0.001) and increased likelihood of long-term illness (χ2 = 18.641 (4), P < 0.001). Conclusions The association of health literacy with long-term illness and multimorbidity in combination with the health literacy profiling based on cluster analysis provides a comprehensive needs assessment and a promising starting point for the development of health literacy responsive interventions.
doi_str_mv 10.1093/eurpub/ckz134
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This study aims to explore health literacy challenges of people with long-term illness or multimorbidity and provide detailed profiles revealing health literacy strengths and weaknesses within a Danish population. Methods In this cross-sectional study among Danish individuals (n = 490), health literacy was assessed using the nine-scale Health Literacy Questionnaire (HLQ). Using multiple logistic regression and hierarchical cluster analysis, we estimated the association between HLQ scale scores and the likelihood of long-term illness and multimorbidity, and identified socio-demographic and health characteristics related to profiles of health literacy strengths and weaknesses. Results An increase in ‘actively managing my health’ and ‘social support for health’ decreased the odds of having a long-term illness [odds ratio, OR 0.53 (0.31–0.9); OR 0.43 (0.24–0.74)] and multimorbidity [OR 0.51 (0.26–0.98); OR 0.33 (0.17–0.62)], respectively. Conversely, an increase in ‘healthcare provider support’ increased the odds of having long-term illness [OR 2.97 (1.78–5.08)] and multimorbidity [OR 2.94 (1.53–5.87)], respectively. Five profiles were identified based on the cluster analysis. Each cluster was characterized by specific health characteristics, e.g. Cluster A by better health status (χ2 = 39.976 (4), P &lt; 0.001) and well-being (χ2 = 28.832 (4), P &lt; 0.001) and Cluster D by poor health status (χ2 = 39.976 (4), P &lt; 0.001) and increased likelihood of long-term illness (χ2 = 18.641 (4), P &lt; 0.001). Conclusions The association of health literacy with long-term illness and multimorbidity in combination with the health literacy profiling based on cluster analysis provides a comprehensive needs assessment and a promising starting point for the development of health literacy responsive interventions.</description><identifier>ISSN: 1101-1262</identifier><identifier>EISSN: 1464-360X</identifier><identifier>DOI: 10.1093/eurpub/ckz134</identifier><identifier>PMID: 31363738</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Chi-square test ; Cluster analysis ; Comorbidity ; Cross-sectional studies ; Health care industry ; Health education ; Health literacy ; Illnesses ; Literacy ; Multimorbidity ; Profiles ; Public health ; Regression analysis ; Social interactions ; Social support ; Well being</subject><ispartof>European journal of public health, 2020-02, Vol.30 (1), p.75-80</ispartof><rights>The Author(s) 2019. Published by Oxford University Press on behalf of the European Public Health Association. 2019</rights><rights>The Author(s) 2019. 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This study aims to explore health literacy challenges of people with long-term illness or multimorbidity and provide detailed profiles revealing health literacy strengths and weaknesses within a Danish population. Methods In this cross-sectional study among Danish individuals (n = 490), health literacy was assessed using the nine-scale Health Literacy Questionnaire (HLQ). Using multiple logistic regression and hierarchical cluster analysis, we estimated the association between HLQ scale scores and the likelihood of long-term illness and multimorbidity, and identified socio-demographic and health characteristics related to profiles of health literacy strengths and weaknesses. Results An increase in ‘actively managing my health’ and ‘social support for health’ decreased the odds of having a long-term illness [odds ratio, OR 0.53 (0.31–0.9); OR 0.43 (0.24–0.74)] and multimorbidity [OR 0.51 (0.26–0.98); OR 0.33 (0.17–0.62)], respectively. Conversely, an increase in ‘healthcare provider support’ increased the odds of having long-term illness [OR 2.97 (1.78–5.08)] and multimorbidity [OR 2.94 (1.53–5.87)], respectively. Five profiles were identified based on the cluster analysis. Each cluster was characterized by specific health characteristics, e.g. Cluster A by better health status (χ2 = 39.976 (4), P &lt; 0.001) and well-being (χ2 = 28.832 (4), P &lt; 0.001) and Cluster D by poor health status (χ2 = 39.976 (4), P &lt; 0.001) and increased likelihood of long-term illness (χ2 = 18.641 (4), P &lt; 0.001). 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This study aims to explore health literacy challenges of people with long-term illness or multimorbidity and provide detailed profiles revealing health literacy strengths and weaknesses within a Danish population. Methods In this cross-sectional study among Danish individuals (n = 490), health literacy was assessed using the nine-scale Health Literacy Questionnaire (HLQ). Using multiple logistic regression and hierarchical cluster analysis, we estimated the association between HLQ scale scores and the likelihood of long-term illness and multimorbidity, and identified socio-demographic and health characteristics related to profiles of health literacy strengths and weaknesses. Results An increase in ‘actively managing my health’ and ‘social support for health’ decreased the odds of having a long-term illness [odds ratio, OR 0.53 (0.31–0.9); OR 0.43 (0.24–0.74)] and multimorbidity [OR 0.51 (0.26–0.98); OR 0.33 (0.17–0.62)], respectively. Conversely, an increase in ‘healthcare provider support’ increased the odds of having long-term illness [OR 2.97 (1.78–5.08)] and multimorbidity [OR 2.94 (1.53–5.87)], respectively. Five profiles were identified based on the cluster analysis. Each cluster was characterized by specific health characteristics, e.g. Cluster A by better health status (χ2 = 39.976 (4), P &lt; 0.001) and well-being (χ2 = 28.832 (4), P &lt; 0.001) and Cluster D by poor health status (χ2 = 39.976 (4), P &lt; 0.001) and increased likelihood of long-term illness (χ2 = 18.641 (4), P &lt; 0.001). Conclusions The association of health literacy with long-term illness and multimorbidity in combination with the health literacy profiling based on cluster analysis provides a comprehensive needs assessment and a promising starting point for the development of health literacy responsive interventions.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>31363738</pmid><doi>10.1093/eurpub/ckz134</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Chi-square test
Cluster analysis
Comorbidity
Cross-sectional studies
Health care industry
Health education
Health literacy
Illnesses
Literacy
Multimorbidity
Profiles
Public health
Regression analysis
Social interactions
Social support
Well being
title Large diversity in Danish health literacy profiles: perspectives for care of long-term illness and multimorbidity
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