Qian Jiazhen, Yao Xinyu, Liu Ting
School of Nursing, Qingdao University, Qingdao, China.
Department of Rheumatology, Qingdao Municipal Hospital, Qingdao, China.
Arch Rheumatol. 2024 Jul 2;39(3):358-367. doi: 10.46497/ArchRheumatol.2024.10397. eCollection 2024 Sep.
This study aimed to assess electronic health (eHealth) literacy and self-management ability among gout patients in China and analyze their correlation.
A cross-sectional study was conducted on 168 male gout patients (mean age: 44.5±13.8 years, range, 22 to 76 years) using a gout patient self-management assessment scale and the Chinese version of eHealth Literacy Scale between August 2020 and February 2021. The correlation between eHealth literacy and gout self-management was examined. Multivariate regression analysis was conducted to identify the predictors of gout patients' self-management ability.
The scores of eHealth literacy and self-management were 28.56±1.72 and 3.59±0.78, respectively, which were both in the medium level, with the lowest score in the lifestyle management dimension. Pearson's correlation analysis showed that eHealth literacy was significantly and positively associated with the total score of gout self-management and its four dimensions. Literacy in eHealth (β=0.399, p<0.001, 95% confidence interval [CI]: 0.023-0.069), living with family members (β=0.336, p=0.001, 95% CI: 0.313-1.234), living in an urban area (β=0.312, p=0.005, 95% CI: 0.191- 1.022), and having college or a higher level of education (β=0.268, p=0.016, 95% CI: 0.032-0.302) were the significant predictors of gout patients' self-management ability, explained 30.6% of the total variance.
Literacy in eHealth was the most significant predictor of gout self-management ability. Gout patients had the lowest score in the perceived ability of searching and applying online health-related information, indicating that both the quantity and quality of gout-specific information needs to be enlarged in electronic resources. Healthcare providers could design and implement eHealth literacy interventions to strengthen patients' gout self-management ability.
本研究旨在评估中国痛风患者的电子健康素养和自我管理能力,并分析它们之间的相关性。
于2020年8月至2021年2月,对168例男性痛风患者(平均年龄:44.5±13.8岁,范围22至76岁)进行了一项横断面研究,使用痛风患者自我管理评估量表和中文版电子健康素养量表。检验电子健康素养与痛风自我管理之间的相关性。进行多因素回归分析以确定痛风患者自我管理能力的预测因素。
电子健康素养和自我管理的得分分别为28.56±1.72和3.59±0.78,均处于中等水平,生活方式管理维度得分最低。Pearson相关分析显示,电子健康素养与痛风自我管理总分及其四个维度均呈显著正相关。电子健康素养(β=0.399,p<0.001,95%置信区间[CI]:0.023 - 0.069)、与家庭成员同住(β=0.336,p=0.001,95%CI:0.313 - 1.234)、居住在城市地区(β=0.312,p=0.005,95%CI:0.191 - 1.022)以及具有大专及以上学历(β=0.268,p=0.016,95%CI:0.032 - 0.302)是痛风患者自我管理能力的显著预测因素,解释了总变异的30.6%。
电子健康素养是痛风自我管理能力最显著的预测因素。痛风患者在搜索和应用在线健康相关信息的感知能力方面得分最低,表明电子资源中痛风特定信息的数量和质量都需要增加。医疗服务提供者可以设计并实施电子健康素养干预措施,以增强患者的痛风自我管理能力。