An Investigation on Artificial Intelligence Literacy and E-Health Literacy of Patients With Fibromyalgia Syndrome
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 212
- 试验地点
- 1
- 主要终点
- E-Health Literacy
研究概览
简要总结
This cross-sectional observational study aimed to assess electronic health literacy and artificial intelligence literacy among individuals diagnosed with fibromyalgia syndrome, with particular focus on artificial intelligence literacy. Although general health literacy has been investigated in this patient population, digital and artificial intelligence-related competencies have not been sufficiently studied. The research included 106 individuals diagnosed with fibromyalgia syndrome and 106 age- and sex-matched healthy volunteers, recruited between December 2024 and May 2025. All participants completed a series of standardized questionnaires, including the Revised Fibromyalgia Impact Questionnaire, the Beck Depression Inventory, the Beck Anxiety Inventory, the Electronic Health Literacy Scale, and the Artificial Intelligence Literacy Scale. The study explored demographic, clinical, and psychological factors associated with digital and artificial intelligence literacy levels among both patient and control groups.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 50 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Age between 18 and 50 years
- •Diagnosis of Fibromyalgia Syndrome according to 2016 American College of Rheumatology criteria (for patient group)
- •Adequate cognitive function
- •Willingness to participate and provide informed consent
- •For control group: Healthy individuals matched by age and sex, with no reported health issues
排除标准
- •Cognitive impairment preventing questionnaire completion
- •Presence of severe comorbidities or neurological/psychiatric disorders that may affect participation
- •Refusal or inability to provide informed consent
结局指标
主要结局
E-Health Literacy
时间窗: At baseline"
An 8-item, 5-point Likert-type scale developed by Norman and Skinner , validated in Turkish by Tamer Gencer. Higher scores indicate higher e- Health Literacy
Artificial Intelligence Literacy
时间窗: At baseline"
A 12-item, 7-point Likert-type scale developed by Wang et al . and adapted into Turkish by Çelebi et al . Higher scores indicate greater Artificial Intelligence literacy
次要结局
- the Revised Fibromyalgia Impact Questionnaire(At baseline)
- the Beck Depression Inventory(At baseline)
- Beck Anxiety Inventory(At baseline)
研究者
Gulseren Demir Karakilic
Assistant Professor, Principal Investigator
Bozok University