Rheumatoid ArthritisNCT07054749
Artificial Intelligence Literacy and E-Health Literacy in Rheumatic Diseases
An observational study of Rheumatoid Arthritis and Ankylosing Spondylitis, run by Gulseren Demir Karakilic at 1 site in Turkey (Türkiye).
Trial summary
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… Read more about this study
- Who is it for?
- Ages 18 to 65 yearsHealthy volunteers can take part
- Conditions the study is for
- Rheumatoid Arthritis, Ankylosing Spondylitis, Psoriatic Arthritis
- How many people
- 201 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 22 Dec 2024to 31 May 2025
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: The study population consists of adult patients diagnosed with inflammatory rheumatic diseases (RA, AS, PSA), knee osteoarthritis, and age- and gender-matched healthy individuals recruited from a university hospital and the local community in Yozgat, Turkey.
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
Turkey (Türkiye)1 site
Yozgat Bozok University Faculty of Medicine, Department of Physical Medicine and Rehabilitation
Yozgat, Yozgat, 66100
About this study
Official title: Artificial Intelligence Literacy and E-Health Literacy in Inflammatory Rheumatic Diseases: A Cross-Sectional Observational Study
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.
Read the detailed description
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.
- Conditions
- Rheumatoid Arthritis, Ankylosing Spondylitis, Psoriatic Arthritis, Knee Osteoarthritis, Healthy Controls
- Keywords
- Rheumatoid Arthritis, Ankylosing Spondylitis, Psoriatic Arthritis, Knee Osteoarthritis, Digital Health, e-Health Literacy, Artificial Intelligence Literacy
- Medical subject headings
- Arthritis, Rheumatoid, Spondylitis, Ankylosing, Arthritis, Psoriatic, Osteoarthritis, Knee
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| 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. | |
| 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. | |
| 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. |
What is being measured
The primary outcome is the main question the study is designed to answer.
E-Health Literacy Scale (eHEALS) - Total Score
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.
Measured: At baseline
Artificial Intelligence Literacy Scale (AILS) Total Score
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.
Measured: At baseline
Secondary outcomes (6)
Beck Depression Inventory (BDI) Total Score
The Beck Depression Inventory (BDI) is used to assess the severity of depressive symptoms. It includes 21 items, each scored on a 0 to 3 scale. Total scores range from 0 to 63, with higher scores indicating more severe depression.
Measured: At baseline
Beck Anxiety Inventory (BAI) Total Score
The Beck Anxiety Inventory (BAI) measures the severity of anxiety symptoms. It includes 21 self-reported items, each scored from 0 to 3. Total scores range from 0 to 63, with higher scores reflecting greater anxiety.
Measured: At baseline
Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) Total Score
The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) is used to evaluate pain, stiffness, and physical function in patients with knee osteoarthritis. It consists of 24 items scored on a 5-point Likert scale (0 = none to 4 = extreme). Total scores range from 0 to 96, with higher scores indicating greater symptom severity and functional impairment.
Measured: At baseline
Disease Activity Score 28 (DAS28) - Total Score
The Disease Activity Score 28 (DAS28) is used to assess disease activity in patients with rheumatoid arthritis. It incorporates counts of 28 tender and swollen joints, a patient global health assessment, and either erythrocyte sedimentation rate (ESR) or C-reactive protein (CRP) as inflammatory markers. Scores range from 0 to 10, with higher scores indicating more active disease.
Measured: At baseline
Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) - Total Score
The Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) is used to assess disease activity in patients with ankylosing spondylitis. It includes six questions related to fatigue, spinal and peripheral joint pain, localized tenderness, and morning stiffness. Each item is scored on a 0 to 10 scale, and the final BASDAI score is the average of the items. Total scores range from 0 to 10, with higher scores indicating greater disease activity and more severe symptoms.
Measured: At baseline
Disease Activity Index for Psoriatic Arthritis (DAPSA)
The Disease Activity index for Psoriatic Arthritis (DAPSA) is used to evaluate disease activity in patients with psoriatic arthritis. It is calculated using the sum of the tender joint count (TJC, 68 joints), swollen joint count (SJC, 66 joints), patient global assessment (0-10 scale), patient pain assessment (0-10 scale), and C-reactive protein (CRP, mg/dL). Total scores range from 0 to approximately 150, with higher scores indicating greater disease activity.
Measured: At baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Jul 2025
- Study start22 Dec 2024
- Primary completion31 May 2025
- Study completion31 May 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (11)Papers the sponsor has linked to this study.
- Other trials for Rheumatoid ArthritisStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 201 participants (actual)
Sponsor and investigators
- Lead sponsor
- Gulseren Demir Karakilic
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Gulseren Demir Karakilic, Bozok University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07054749
- Sponsor's protocol ID
- 2024-GOKAEK-2413_2024.11.20_17
- Status last verified
- Jul 2025
- First submitted
- 27 Jun 2025
- Last updated
- 14 Jul 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Individual participant data (IPD) that underlie the results reported in this article (including text, tables, and figures) will be shared after deidentification. Data will be available upon reasonable request from the corresponding author
Publications
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.
PubMed 1686797249. 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.
PubMed 15639634Schoels 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.
PubMed 20525844Akkoc 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.
PubMed 14730386Wells 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.
PubMed 18490431Karakilic GD, Balbaloglu O, Gocer S. Digital and artificial intelligence literacy in inflammatory rheumatic and degenerative joint diseases. Adv Med Sci. 2026 Mar;71(1):114-121. doi: 10.1016/j.advms.2026.03.004. Epub 2026 Mar 20.
PubMed 41866024
Study at a glance
From the registry record, last updated by the sponsor on 14 Jul 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Artificial Intelligence Literacy and E-Health Literacy in Inflammatory Rheumatic Diseases: A Cross-Sectional Observational Study
- ClinicalTrials.gov ID
- NCT07054749
- Acronym / sponsor ID
- 2024-GOKAEK-2413_2024.11.20_17
- Conditions
- Rheumatoid Arthritis, Ankylosing Spondylitis, Psoriatic Arthritis, Knee Osteoarthritis, Healthy Controls
- Keywords
- Rheumatoid Arthritis, Ankylosing Spondylitis, Psoriatic Arthritis, Knee Osteoarthritis, Digital Health, e-Health Literacy, Artificial Intelligence Literacy
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 201 participants (actual)
- Lead sponsor
- Gulseren Demir KarakilicUniversity, hospital or other
- Study start
- 22 Dec 2024 (actual)
- Primary completion
- 31 May 2025 (actual)
- Study completion
- 31 May 2025 (actual)
- First posted
- 8 Jul 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| 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. |
| 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. |
| 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. |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- The study population consists of adult patients diagnosed with inflammatory rheumatic diseases (RA, AS, PSA), knee osteoarthritis, and age- and gender-matched healthy individuals recruited from a university hospital and the local community in Yozgat, Turkey.
Key inclusion criteria (8 listed)
- 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
Key exclusion criteria (5 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
E-Health Literacy Scale (eHEALS) - Total Score
Time frame: 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
Time frame: 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.
6 secondary outcomes
Beck Depression Inventory (BDI) Total Score
Time frame: At baseline
Beck Anxiety Inventory (BAI) Total Score
Time frame: At baseline
Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) Total Score
Time frame: At baseline
Disease Activity Score 28 (DAS28) - Total Score
Time frame: At baseline
Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) - Total Score
Time frame: At baseline
Disease Activity Index for Psoriatic Arthritis (DAPSA)
Time frame: At baseline
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 Jul 2025.
- BackgroundÇelebi, C., et al., Artificial intelligence literacy: An adaptation study. Instructional Technology and Lifelong Learning, 2023. 4(2): p. 291-306.
- BackgroundWang, 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.
- BackgroundTAMER GENCER, Z., Analysis of validity and reliability of Norman and Skinner's e-Health scale literacy for cultural adaptation. Istanbul Universitesi Iletisim Fakultesi Dergisi,
- Background: PubMed 16867972Norman 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.
- Background49. 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.
- BackgroundHisli, N., A reliability and validity study of Beck Depression Inventory in a university student sample). J. Psychol., 1989. 7: p. 3-13.
- Background: PubMed 15639634Tuzun 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.
- Background: PubMed 20525844Schoels 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.
- Background: PubMed 14730386Akkoc 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.
- Background: PubMed 18490431Wells 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.
- Derived from this study: PubMed 41866024Karakilic GD, Balbaloglu O, Gocer S. Digital and artificial intelligence literacy in inflammatory rheumatic and degenerative joint diseases. Adv Med Sci. 2026 Mar;71(1):114-121. doi: 10.1016/j.advms.2026.03.004. Epub 2026 Mar 20.
- Individual participant dataSharing planned: Yes. Individual participant data (IPD) that underlie the results reported in this article (including text, tables, and figures) will be shared after deidentification. Data will be available upon reasonable request from the corresponding author
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Rheumatoid Arthritis and Ankylosing Spondylitis, run by Gulseren Demir Karakilic at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 8 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 14 Jul 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
E-Health Literacy Scale (eHEALS) - Total Score (time frame: At baseline). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07054749, which also lists 11 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 Jul 2025.