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Addressing Health Literacy Needs in Rheumatology: Which Patient Health Literacy Profiles Need the Attention of Health Professionals?
OBJECTIVE: To identify and describe health literacy profiles of patients with rheumatic diseases and explore whether the identified health literacy profiles can be generalized to a broader rheumatology context. METHODS: Patients with rheumatoid arthritis, spondyloarthritis, and gout from 3 hospitals...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839720/ https://www.ncbi.nlm.nih.gov/pubmed/33026713 http://dx.doi.org/10.1002/acr.24480 |
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author | Bakker, Mark M. Putrik, Polina Rademakers, Jany van de Laar, Mart Vonkeman, Harald Kok, Marc R. Voorneveld‐Nieuwenhuis, Hanneke Ramiro, Sofia de Wit, Maarten Buchbinder, Rachelle Batterham, Roy Osborne, Richard H. Boonen, Annelies |
author_facet | Bakker, Mark M. Putrik, Polina Rademakers, Jany van de Laar, Mart Vonkeman, Harald Kok, Marc R. Voorneveld‐Nieuwenhuis, Hanneke Ramiro, Sofia de Wit, Maarten Buchbinder, Rachelle Batterham, Roy Osborne, Richard H. Boonen, Annelies |
author_sort | Bakker, Mark M. |
collection | PubMed |
description | OBJECTIVE: To identify and describe health literacy profiles of patients with rheumatic diseases and explore whether the identified health literacy profiles can be generalized to a broader rheumatology context. METHODS: Patients with rheumatoid arthritis, spondyloarthritis, and gout from 3 hospitals in different regions in The Netherlands completed the Health Literacy Questionnaire (HLQ). Hierarchical cluster analysis was used to identify patients’ health literacy profiles based on 9 HLQ domains. A multinomial regression model with the identified health literacy profiles as the dependent variable was fitted to assess whether patients with a given disease type or attending a given hospital were more likely to belong to a specific profile. RESULTS: Among 895 participating patients, the lowest mean HLQ domain scores (indicating most difficulty) were found for “critical appraisal,” “navigating the health system,” and “finding good health information.” The 10 identified profiles revealed substantial diversity in combinations of strengths and weaknesses. While 42% of patients scored moderate to high on all 9 domains (profiles 1 and 3), another 42% of patients (profiles 2, 4, 5, and 6) clearly struggled with 1 or several aspects of health literacy. Notably, 16% (profiles 7–10) exhibited difficulty across a majority of health literacy domains. The probability of belonging to one of the profiles was independent of the hospital where the patient was treated or the type of rheumatic disease. CONCLUSION: Ten distinct health literacy profiles were identified among patients with rheumatic diseases, independent of disease type and treating hospital. These profiles can be used to facilitate the development of health literacy interventions in rheumatology. |
format | Online Article Text |
id | pubmed-7839720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78397202021-02-02 Addressing Health Literacy Needs in Rheumatology: Which Patient Health Literacy Profiles Need the Attention of Health Professionals? Bakker, Mark M. Putrik, Polina Rademakers, Jany van de Laar, Mart Vonkeman, Harald Kok, Marc R. Voorneveld‐Nieuwenhuis, Hanneke Ramiro, Sofia de Wit, Maarten Buchbinder, Rachelle Batterham, Roy Osborne, Richard H. Boonen, Annelies Arthritis Care Res (Hoboken) Theme Articles ‐ Psychosocial Issues in the Rheumatic Diseases OBJECTIVE: To identify and describe health literacy profiles of patients with rheumatic diseases and explore whether the identified health literacy profiles can be generalized to a broader rheumatology context. METHODS: Patients with rheumatoid arthritis, spondyloarthritis, and gout from 3 hospitals in different regions in The Netherlands completed the Health Literacy Questionnaire (HLQ). Hierarchical cluster analysis was used to identify patients’ health literacy profiles based on 9 HLQ domains. A multinomial regression model with the identified health literacy profiles as the dependent variable was fitted to assess whether patients with a given disease type or attending a given hospital were more likely to belong to a specific profile. RESULTS: Among 895 participating patients, the lowest mean HLQ domain scores (indicating most difficulty) were found for “critical appraisal,” “navigating the health system,” and “finding good health information.” The 10 identified profiles revealed substantial diversity in combinations of strengths and weaknesses. While 42% of patients scored moderate to high on all 9 domains (profiles 1 and 3), another 42% of patients (profiles 2, 4, 5, and 6) clearly struggled with 1 or several aspects of health literacy. Notably, 16% (profiles 7–10) exhibited difficulty across a majority of health literacy domains. The probability of belonging to one of the profiles was independent of the hospital where the patient was treated or the type of rheumatic disease. CONCLUSION: Ten distinct health literacy profiles were identified among patients with rheumatic diseases, independent of disease type and treating hospital. These profiles can be used to facilitate the development of health literacy interventions in rheumatology. John Wiley and Sons Inc. 2020-12-30 2021-01 /pmc/articles/PMC7839720/ /pubmed/33026713 http://dx.doi.org/10.1002/acr.24480 Text en © 2020 The Authors. Arthritis Care & Research published by Wiley Periodicals LLC on behalf of American College of Rheumatology. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Theme Articles ‐ Psychosocial Issues in the Rheumatic Diseases Bakker, Mark M. Putrik, Polina Rademakers, Jany van de Laar, Mart Vonkeman, Harald Kok, Marc R. Voorneveld‐Nieuwenhuis, Hanneke Ramiro, Sofia de Wit, Maarten Buchbinder, Rachelle Batterham, Roy Osborne, Richard H. Boonen, Annelies Addressing Health Literacy Needs in Rheumatology: Which Patient Health Literacy Profiles Need the Attention of Health Professionals? |
title | Addressing Health Literacy Needs in Rheumatology: Which Patient Health Literacy Profiles Need the Attention of Health Professionals? |
title_full | Addressing Health Literacy Needs in Rheumatology: Which Patient Health Literacy Profiles Need the Attention of Health Professionals? |
title_fullStr | Addressing Health Literacy Needs in Rheumatology: Which Patient Health Literacy Profiles Need the Attention of Health Professionals? |
title_full_unstemmed | Addressing Health Literacy Needs in Rheumatology: Which Patient Health Literacy Profiles Need the Attention of Health Professionals? |
title_short | Addressing Health Literacy Needs in Rheumatology: Which Patient Health Literacy Profiles Need the Attention of Health Professionals? |
title_sort | addressing health literacy needs in rheumatology: which patient health literacy profiles need the attention of health professionals? |
topic | Theme Articles ‐ Psychosocial Issues in the Rheumatic Diseases |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839720/ https://www.ncbi.nlm.nih.gov/pubmed/33026713 http://dx.doi.org/10.1002/acr.24480 |
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