系统性硬化症患者中与电子健康素养相关的因素:一项以硬皮病患者为中心的干预网络(SPIN)队列横断面研究

IF 1.2 Q3 RHEUMATOLOGY
Natalie Co, Claire Adams, Marie-Eve Carrier, Meira Golberg, Elsa-Lynn Nassar, Linda Kwakkenbos, Susan J Bartlett, Catherine Fortuné, Amy Gietzen, Geneviève Guillot, Amanda Lawrie-Jones, Vanessa L Malcarne, Maureen D Mayes, Michelle Richard, Luc Mouthon, Andrea Benedetti, Brett D Thombs
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引用次数: 0

摘要

前言/目标:电子健康素养反映了从电子来源获取、理解和评估健康信息并将这些信息应用于健康问题的能力。我们的目的是评估系统性硬化症(SSc)患者的社会人口学(年龄、性别、种族或民族、教育、婚姻状况、国家、居住地)和疾病因素(病程、亚型)与电子健康素养的关系。方法:以硬皮病患者为中心的干预网络(SPIN)队列参与者于2025年1月17日至2月18日完成了8项电子健康素养量表(eHEALS)。多变量线性回归用于评估社会人口学和疾病特征与电子健康素养的关系。结果:333名参与者分别来自法国(N = 116, 35%)、加拿大(N = 90, 27%)、美国(N = 85, 26%)、英国(N = 32, 10%)和澳大利亚、墨西哥或西班牙(N = 10, 3%)。大多数参与者为女性(N = 295, 89%),白人(N = 268, 80%), SSc有限(N = 206, 62%)。与美国相比,来自加拿大(-2.2分,95% CI -4.2至-0.1;标准化平均差(SMD) = -0.33)和法国(-4.2分,95% CI -6.2至-2.3;SMD = -0.64)的参与者eHEALS得分明显较低。年龄、性别、种族或民族、婚姻状况、受教育程度、首次出现非雷诺症状的时间和疾病亚型与eHEALS评分无关。结论:与其他一些研究不同,SSc的电子健康素养与年龄和教育水平无关,但与国家有关。未来的研究应检查SSc患者在电子健康素养方面的国家水平差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors associated with eHealth literacy among people with systemic sclerosis: A Scleroderma Patient-centred Intervention Network (SPIN) Cohort cross-sectional study.

Introduction/objective: eHealth literacy reflects the ability to obtain, understand, and evaluate health information from electronic sources and apply this information to health problems. Our objective was to evaluate sociodemographic (age, sex, race or ethnicity, education, marital status, country, residence location) and disease factors (duration, subtype) associations with eHealth literacy among individuals with systemic sclerosis (SSc).

Methods: Scleroderma Patient-centred Intervention Network (SPIN) Cohort participants completed the 8-item eHealth Literacy Scale (eHEALS) from January 17 to February 18, 2025. Multivariable linear regression was used to assess associations of sociodemographic and disease characteristics with eHealth literacy.

Results: The 333 participants were from France (N = 116, 35%), Canada (N = 90, 27%), the United States (N = 85, 26%), the United Kingdom (N = 32, 10%), and Australia, Mexico, or Spain (N = 10, 3%). Most participants were female (N = 295, 89%), White (N = 268, 80%), and had limited SSc (N = 206, 62%). Compared to the United States, participants from Canada (-2.2 points, 95% CI -4.2 to -0.1; standardized mean difference (SMD) = -0.33) and France (-4.2 points, 95% CI -6.2 to -2.3; SMD = -0.64) had significantly lower eHEALS scores. Age, sex, race or ethnicity, marital status, education level, time since first non-Raynaud's symptom onset, and disease subtype were not associated with eHEALS scores.

Conclusion: eHealth literacy in SSc was not associated with age and education level as in some other studies but was associated with country. Future research should examine country-level differences in eHealth literacy for individuals with SSc.

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