Yozgat Bozok University Faculty of Medicine, Department of Physical Medicine and Rehabilitation
Yozgat, 66100, Turkey (Türkiye)
NCT Number: NCT07020845
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.
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Notify Me18 year–50 year
All sexes
Observational
Yozgat, 66100, Turkey (Türkiye)
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Age between 18 and 50 years
Diagnosis of Fibromyalgia Syndrome according to 2016 American College of Rheumatology criteria (for patient group)
Adequate cognitive function
Literacy
Willingness to participate and provide informed consent
For control group: Healthy individuals matched by age and sex, with no reported health issues
Exclusion criteria
Cognitive impairment preventing questionnaire completion
Illiteracy
Presence of severe comorbidities or neurological/psychiatric disorders that may affect participation
Refusal or inability to provide informed consent
This is an observational study with no intervention applied to participants. Data were collected through questionnaires and clinical assessments only
Time frame: 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
Time frame: 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
Time frame: At baseline
aims to measure patients with fibromyalgia syndrome status, progress and outcomes through 21 questions that inquire about physical functions, work-related situations, depression, anxiety, waking up tired, pain, stiffness, and fatigue The Turkish adaptation of the Revised Fibromyalgia Impact Questionnairewas psychometrically evaluated for validity and reliability by Sarmer et al .
Time frame: At baseline
is developed by Beck and colleagues in 1961, is intended to evaluate the typical signs and symptoms associated with depression. This instrument is a self-administered questionnaire comprising 21 items and usually requires around 10 minutes to complete. The Turkish version of the inventory was adapted and validated by Hisli and colleagues
Time frame: At baseline
is developed by Aaron T. Beck, is an internationally validated tool for assessing anxiety levels. It consists of 21 items. The Turkish adaptation and validation of the inventory were performed by Ulusoy and colleagues
Gulseren Demir Karakilic
Other
An Investigation on Artificial Intelligence Literacy and E-Health Literacy of Patients With Fibromyalgia Syndrome
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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