Artificial Intelligence Literacy and E-Health Literacy in Inflammatory Rheumatic Diseases: A Cross-Sectional Observational Study
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 201
- 试验地点
- 1
- 主要终点
- E-Health Literacy Scale (eHEALS) - Total Score
研究概览
简要总结
This study aims to evaluate digital health competencies in individuals with rheumatic and degenerative joint diseases. Specifically, it assesses e-health literacy and artificial intelligence literacy, which refer to individuals' ability to access, understand, and utilize online health information and AI-based health technologies. Participants include patients with rheumatoid arthritis, ankylosing spondylitis, psoriatic arthritis, knee osteoarthritis, and healthy volunteers. The study also examines how these competencies are associated with demographic variables, anxiety, depression, and functional status. Findings may contribute to improving digital health strategies for patients with chronic musculoskeletal conditions.
详细描述
Digital technologies and artificial intelligence (AI) are becoming increasingly integrated into healthcare systems. However, the ability of patients to effectively access and use these technologies varies depending on multiple factors such as education level, health status, and psychological well-being. This cross-sectional study aims to measure two key competencies: e-health literacy (the ability to seek, find, understand, and appraise online health information) and artificial intelligence literacy (understanding and engaging with AI-supported health tools).
The study will recruit three groups: individuals with inflammatory rheumatic diseases (rheumatoid arthritis, ankylosing spondylitis, psoriatic arthritis), individuals with degenerative joint disease (knee osteoarthritis), and healthy controls. All participants will complete standardized self-report questionnaires, including the E-Health Literacy Scale (eHEALS), the Artificial Intelligence Literacy Scale (AILS), the Beck Depression Inventory (BDI), the Beck Anxiety Inventory (BAI), and the Health Assessment Questionnaire (HAQ).
The primary aim is to compare digital literacy levels across groups and examine correlations with socio-demographic characteristics and mental health indicators. The results are expected to inform clinical strategies and patient education programs aimed at improving engagement with digital health services, particularly in patients with chronic rheumatic conditions.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Age between 18 and 65 years
- •Adequate cognitive function and literacy
- •Ability to provide written informed consent
- •For RA group: Diagnosis of rheumatoid arthritis based on ACR 2010 criteria
- •For AS group: Diagnosis of ankylosing spondylitis based on Modified New York criteria
- •For PSA group: Diagnosis of psoriatic arthritis based on CASPAR criteria
- •For OA group: Clinical and radiological diagnosis of knee osteoarthritis with symptoms ≥6 months
- •For healthy controls: No known chronic diseases or complaints
排除标准
- •Cognitive impairment or illiteracy
- •Unwillingness to participate
- •Presence of multiple rheumatic diseases
- •Major psychiatric disorder or neurodegenerative disease
- •Use of assistive digital devices that influence e-health literacy independently
研究组 & 干预措施
Patient group
Inclusion criteria for the Rheumatoid arthritis group were: meeting the 2010 American College of Rheumatology (ACR) classification criteria for Rheumatoid arthritis , aged 18-65 years, preserved cognitive function, literacy, and willingness to participate. The ankylosing spondylitis group included individuals who met the Modified New York criteria for ankylosing spondylitis and fulfilled the same cognitive, literacy, and age requirements. Similarly, the psoriatic arthritis group consisted of patients meeting the the Classification of Psoriatic Arthritis (CASPAR) criteria classification criteria, aged 18-65, with adequate cognition and literacy, and who consented to participate.
干预措施: Patient group
The knee osteoarthritis control group
The knee osteoarthritis control group included individuals who presented to the same clinic with chronic knee pain (≥6 months), were diagnosed with knee OA based on clinical and radiological findings, and matched the IRD group by age and gender using frequency matching. They also had adequate cognitive and literacy levels and provided consent.
干预措施: The knee osteoarthritis control group
The healthy control group
The healthy control group was composed of community-dwelling individuals without any diagnosed chronic disease or complaints, matched to the patient group in terms of age and gender, with preserved cognitive function, literacy, and voluntary participation.
干预措施: The healthy control group
结局指标
主要结局
E-Health Literacy Scale (eHEALS) - Total Score
时间窗: At baseline
The primary outcome is the total score on the E-Health Literacy Scale (eHEALS), which assesses individuals' ability to seek, find, understand, and evaluate health information from electronic sources. The eHEALS consists of 8 items, each rated on a 5-point Likert scale. Total scores range from 8 to 40, with higher scores indicating greater e-health literacy.
Artificial Intelligence Literacy Scale (AILS) Total Score
时间窗: At baseline
This outcome measures participants' knowledge, skills, and attitudes related to understanding and using artificial intelligence technologies in healthcare. The Artificial Intelligence Literacy Scale (AILS) includes 12 items scored on a 7-point Likert scale. Total scores range from 12 to 84, with higher scores reflecting greater AI literacy.
次要结局
- Beck Anxiety Inventory (BAI) Total Score(At baseline)
- Disease Activity Index for Psoriatic Arthritis (DAPSA)(At baseline)
- Beck Depression Inventory (BDI) Total Score(At baseline)
- Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) Total Score(At baseline)
- Disease Activity Score 28 (DAS28) - Total Score(At baseline)
- Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) - Total Score(At baseline)
研究者
Gulseren Demir Karakilic
Assistant Professor of Physical Medicine and Rehabilitation
Bozok University