TY - JOUR
T1 - Addressing Health Literacy Needs in Rheumatology
T2 - Which Patient Health Literacy Profiles Need the Attention of Health Professionals?
AU - Bakker, Mark M.
AU - Putrik, Polina
AU - Rademakers, Jany
AU - van de Laar, Mart
AU - Vonkeman, Harald
AU - Kok, Marc R.
AU - Voorneveld-Nieuwenhuis, Hanneke
AU - Ramiro, Sofia
AU - de Wit, Maarten
AU - Buchbinder, Rachelle
AU - Batterham, Roy
AU - Osborne, Richard H.
AU - Boonen, Annelies
N1 - Funding Information:
We thank Mirjam Hegeman for her significant contribution to the coordination of the study in Medisch Spectrum Twente. Furthermore, we thank our panel of patient research partners for their input throughout the project and the health professionals and clinic staff at all 3 centers for their efforts in patient recruitment.
Publisher Copyright:
© 2020 The Authors. Arthritis Care & Research published by Wiley Periodicals LLC on behalf of American College of Rheumatology.
PY - 2021/1
Y1 - 2021/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85098490211
U2 - 10.1002/acr.24480
DO - 10.1002/acr.24480
M3 - Article
C2 - 33026713
AN - SCOPUS:85098490211
SN - 2151-464X
VL - 73
SP - 100
EP - 109
JO - Arthritis Care and Research
JF - Arthritis Care and Research
IS - 1
ER -