Artificial Intelligence Literacy and E-Health Literacy in Rheumatic Diseases
NCT ID: NCT07054749
Last Updated: 2025-07-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
201 participants
OBSERVATIONAL
2024-12-22
2025-05-31
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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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.
No interventions assigned to this 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.
No interventions assigned to this 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.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
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
Exclusion Criteria
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
18 Years
65 Years
ALL
Yes
Sponsors
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Gulseren Demir Karakilic
OTHER
Responsible Party
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Gulseren Demir Karakilic
Assistant Professor of Physical Medicine and Rehabilitation
Locations
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Yozgat Bozok University Faculty of Medicine, Department of Physical Medicine and Rehabilitation
Yozgat, Yozgat, Turkey (Türkiye)
Countries
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References
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Çelebi, C., et al., Artificial intelligence literacy: An adaptation study. Instructional Technology and Lifelong Learning, 2023. 4(2): p. 291-306.
Wang, B., P.-L.P. Rau, and T. Yuan, Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale. Behaviour & information technology, 2023. 42(9): p. 1324-1337.
TAMER GENCER, Z., Analysis of validity and reliability of Norman and Skinner's e-Health scale literacy for cultural adaptation. Istanbul Universitesi Iletisim Fakultesi Dergisi,
Norman CD, Skinner HA. eHealth Literacy: Essential Skills for Consumer Health in a Networked World. J Med Internet Res. 2006 Jun 16;8(2):e9. doi: 10.2196/jmir.8.2.e9.
49. Ulusoy, M., N.H. Sahin, and H. Erkmen, Turkish version of the Beck Anxiety Inventory: psychometric properties. Journal of cognitive psychotherapy, 1998. 12(2): p. 163.
Hisli, N., A reliability and validity study of Beck Depression Inventory in a university student sample). J. Psychol., 1989. 7: p. 3-13.
Tuzun EH, Eker L, Aytar A, Daskapan A, Bayramoglu M. Acceptability, reliability, validity and responsiveness of the Turkish version of WOMAC osteoarthritis index. Osteoarthritis Cartilage. 2005 Jan;13(1):28-33. doi: 10.1016/j.joca.2004.10.010.
Schoels M, Aletaha D, Funovits J, Kavanaugh A, Baker D, Smolen JS. Application of the DAREA/DAPSA score for assessment of disease activity in psoriatic arthritis. Ann Rheum Dis. 2010 Aug;69(8):1441-7. doi: 10.1136/ard.2009.122259. Epub 2010 Jun 4.
Akkoc Y, Karatepe AG, Akar S, Kirazli Y, Akkoc N. A Turkish version of the Bath Ankylosing Spondylitis Disease Activity Index: reliability and validity. Rheumatol Int. 2005 May;25(4):280-4. doi: 10.1007/s00296-003-0432-y. Epub 2004 Jan 17.
Wells G, Becker JC, Teng J, Dougados M, Schiff M, Smolen J, Aletaha D, van Riel PL. Validation of the 28-joint Disease Activity Score (DAS28) and European League Against Rheumatism response criteria based on C-reactive protein against disease progression in patients with rheumatoid arthritis, and comparison with the DAS28 based on erythrocyte sedimentation rate. Ann Rheum Dis. 2009 Jun;68(6):954-60. doi: 10.1136/ard.2007.084459. Epub 2008 May 19.
Other Identifiers
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2024-GOKAEK-2413_2024.11.20_17
Identifier Type: -
Identifier Source: org_study_id
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