Exploring factors influencing patient activation in Saudi rheumatoid arthritis patients: A Nationwide Cross‐Sectional Survey—Results from the COPARA study

Author:

Almalag Haya M.1ORCID,Alshehri Maha M.2,Altokhais Nouf A.2,Aljanobi Ghada A.3,Dessougi Maha I. El4,AlHarthi Amal4,Omair Maha A.5,Attar Suzan M.6ORCID,Bahlas Sami M.6,Alfurayj Abdullah S.7,Alazmi Mansour S.8,Asiri Alhussain M.9,AlOmair Mohammed M.9,Al Juffali Lobna I.1,Omair Mohammed A.10

Affiliation:

1. Department of Clinical Pharmacy, College of Pharmacy King Saud University Riyadh Saudi Arabia

2. College of Pharmacy King Saud University Riyadh Saudi Arabia

3. Department of Medicine, Rheumatology Unit Johns Hopkins Aramco Healthcare, Dhahran Saudi Arabia Dhahran Saudi Arabia

4. Department of Medicine, Rheumatology Unit Security Forces Hospital Riyadh Saudi Arabia

5. Department of Statistics and Operations Research, College of Science King Saud University Riyadh Saudi Arabia

6. Department of Medicine, Rheumatology Unit King Abdulaziz University Jeddah Saudi Arabia

7. Department of Medicine, Rheumatology Unit Buraidah Central Hospital Buraidah Saudi Arabia

8. Department of Medicine, Rheumatology Unit Prince Mohammed Medical City Sakaka‐Aljouf Saudi Arabia

9. Department of Medicine, Rheumatology Unit Aseer Central Hospital Abha Saudi Arabia

10. Department of Medicine, Rheumatology Unit King Saud University Riyadh Saudi Arabia

Abstract

AbstractObjectivesTo evaluate patient activation in rheumatoid arthritis (RA) patients using patient activation measure 13 (PAM‐13) on a national level in Saudi Arabia.MethodA national survey was administered across multiple centers in Saudi Arabia. Patient activation was assessed using the PAM‐13. The Compliance Questionnaire for Rheumatology (CQR) and the RA Impact of Disease (RAID) tool were also administered. The data from the survey were analyzed, and the results were stratified based on activation level. All factors affecting patient activation were explored and reported.ResultsA total of 1241 participants were included. Most of the patients were females (85%), the mean age was 47 (±14), and most patients lived in the central region (47%). The mean (±standard deviation) patient activation score was 578.7 (±13.0). Patient activation was affected by multiple factors: demographic characteristics, such as education, with a beta value of 1.11 (95% confidence interval [CI] 0.64 ̶1.58, p < .001). Higher CQR scores were associated with higher activation levels, with a beta value of 2.61 (95% CI 0.80 ̶4.44, p = .005), and higher RAID scores were associated with lower activation levels, with a beta value of 3.13 (95% CI 1.36 ̶4.91, p = .001).ConclusionsPatient activation was affected by several demographic characteristics and the impact of RA. A higher activation may improve compliance. Future longitudinal studies are required to confirm these findings and should explore the underlying mechanism of these effects.

Publisher

Wiley

Subject

Immunology,Immunology and Allergy

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