Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Immun Inflamm Dis. 2023 Nov;11(11):e1101. doi: 10.1002/iid3.1101.
To evaluate patient activation in rheumatoid arthritis (RA) patients using patient activation measure 13 (PAM-13) on a national level in Saudi Arabia.
A 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.
A 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).
Patient 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.
在沙特阿拉伯全国范围内使用患者激活度量表 13(PAM-13)评估类风湿关节炎(RA)患者的患者激活情况。
在沙特阿拉伯的多个中心进行了一项全国性调查。使用 PAM-13 评估患者激活情况。还使用了风湿病遵从性问卷(CQR)和 RA 疾病影响(RAID)工具。分析了调查数据,并根据激活水平对结果进行分层。探讨并报告了影响患者激活的所有因素。
共纳入 1241 名参与者。大多数患者为女性(85%),平均年龄为 47(±14)岁,大多数患者居住在中部地区(47%)。患者激活的平均(±标准差)得分为 578.7(±13.0)。患者激活受到多种因素的影响:人口统计学特征,如教育,β值为 1.11(95%置信区间[CI] 0.64 ̶1.58,p < .001)。更高的 CQR 评分与更高的激活水平相关,β值为 2.61(95% CI 0.80 ̶4.44,p = .005),更高的 RAID 评分与更低的激活水平相关,β值为 3.13(95% CI 1.36 ̶4.91,p = .001)。
患者激活受到多种人口统计学特征和 RA 影响。更高的激活可能会提高依从性。需要进行未来的纵向研究来证实这些发现,并应探讨这些影响的潜在机制。