Physical Therapy PatientNCT07277634
Cultural Adaptation of Attitude Scales Towards Artificial Intelligence Into Turkish
An observational study of Physical Therapy Patient, run by Barış SEVEN.
Trial summary
The rapid proliferation of artificial intelligence (AI) applications in healthcare has led to significant transformations, particularly in applications such as patient management, treatment planning, clinical decision support systems, and remote rehabilitation. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Physical Therapy Patient
- How many people
- 200 participants
- Where
- No sites listed yet
- Study dates
- 1 Jan 2026to 1 Jan 2027
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
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 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients undergoing active treatment in the Physical Therapy and rehabilitation unit
Who may be able to join
- Patients undergoing active treatment in the Physical Therapy and rehabilitation unit.
- Being cognitively able to answer the questionnaire.
Who cannot join
- Severe communication or cognitive impairments.
About this study
Official title: Cultural Adaptation and Validity-Reliability of Attitude Scales Toward Artificial Intelligence in Turkish: A Psychometric Study on Physical Therapy Patients
The rapid proliferation of artificial intelligence (AI) applications in healthcare has led to significant transformations, particularly in applications such as patient management, treatment planning, clinical decision support systems, and remote rehabilitation. Ensuring that this transformation is effective and safe requires the reliable measurement of patients' perceptions and attitudes toward AI-based health technologies. However, the existing literature does not include any scales developed to measure patients' attitudes toward AI that have been adapted to Turkish society. This situation complicates both the assessment of acceptance of AI in clinical applications and the sound execution of scientific research in this field.
This research aims to culturally adapt the internationally developed ATTARI-12 (Attitudes Toward Artificial Intelligence-12) and ATTARI-WHE (Artificial Intelligence in Work, Health and Everyday Life) scales into Turkish and to evaluate their construct validity and reliability. The study is methodological in design and will be conducted at the Faculty of Health Sciences, Izmir Katip Celebi University, between January 2026 and January 2027, following approval by the ethics committee. The cultural adaptation method proposed by Beaton and colleagues, which includes forward translation, back translation, expert panel, and content validity stages, will be applied during the scale adaptation process; then, the understandability of the items will be tested with a pilot application. The sample will consist of at least 200 physical therapy patients, and convergent validity, construct validity using confirmatory factor analysis, and reliability using Cronbach's alpha and test-retest methods will be evaluated.
Read more
The project will be carried out according to a structured schedule consisting of project management, translation process, pilot application, data collection, and analysis stages. All measurements will be performed after obtaining ethical committee approval.
The results of this study will contribute to the literature by providing patient-specific, valid, and reliable measurement tools that can be used to scientifically evaluate patients' attitudes toward AI in Turkey. These scales are expected to have a widespread impact in national research, in the evaluation of clinical decision support systems, and in strategies aimed at increasing the acceptance of AI-based health technologies.
Read the detailed description
This is a Cultural Adaptation and Validity-Reliability study
- Conditions
- Physical Therapy Patient
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 |
|---|---|---|
| physical therapy patients | Not described |
What is being measured
The primary outcome is the main question the study is designed to answer.
ATTARI-12 (Attitudes Toward Artificial Intelligence-12) and ATTARI-WHE (Artificial Intelligence in Work, Health and Everyday Life) Scales
Measured: From January 2026 to January 2027
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Dec 2025
- Study start1 Jan 2026 (estimated)
- Primary completion1 Jun 2026 (estimated)
- Study completion1 Jan 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Physical Therapy PatientStudies 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
- Other
- Time perspective
- Cross-sectional
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Barış SEVEN
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Barış SEVEN, Gazi University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07277634
- Sponsor's protocol ID
- 10
- Status last verified
- Nov 2025
- First submitted
- 29 Nov 2025
- Last updated
- 11 Dec 2025
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 11 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Cultural Adaptation and Validity-Reliability of Attitude Scales Toward Artificial Intelligence in Turkish: A Psychometric Study on Physical Therapy Patients
- ClinicalTrials.gov ID
- NCT07277634
- Acronym / sponsor ID
- 10
- Conditions
- Physical Therapy Patient
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Barış SEVENUniversity, hospital or other
- Study start
- 1 Jan 2026 (estimated)
- Primary completion
- 1 Jun 2026 (estimated)
- Study completion
- 1 Jan 2027 (estimated)
- First posted
- 11 Dec 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.
The rapid proliferation of artificial intelligence (AI) applications in healthcare has led to significant transformations, particularly in applications such as patient management, treatment planning, clinical decision support systems, and remote rehabilitation. Ensuring that this transformation is effective and safe requires the reliable measurement of patients' perceptions and attitudes toward AI-based health technologies. However, the existing literature does not include any scales developed to measure patients' attitudes toward AI that have been adapted to Turkish society. This situation complicates both the assessment of acceptance of AI in clinical applications and the sound execution of scientific research in this field.
This research aims to culturally adapt the internationally developed ATTARI-12 (Attitudes Toward Artificial Intelligence-12) and ATTARI-WHE (Artificial Intelligence in Work, Health and Everyday Life) scales into Turkish and to evaluate their construct validity and reliability. The study is methodological in design and will be conducted at the Faculty of Health Sciences, Izmir Katip Celebi University, between January 2026 and January 2027, following approval by the ethics committee. The cultural adaptation method proposed by Beaton and colleagues, which includes forward translation, back translation, expert panel, and content validity stages, will be applied during the scale adaptation process; then, the understandability of the items will be tested with a pilot application. The sample will consist of at least 200 physical therapy patients, and convergent validity, construct validity using confirmatory factor analysis, and reliability using Cronbach's alpha and test-retest methods will be evaluated.
The project will be carried out according to a structured schedule consisting of project management, translation process, pilot application, data collection, and analysis stages. All measurements will be performed after obtaining ethical committee approval.
The results of this study will contribute to the literature by providing patient-specific, valid, and reliable measurement tools that can be used to scientifically evaluate patients' attitudes toward AI in Turkey. These scales are expected to have a widespread impact in national research, in the evaluation of clinical decision support systems, and in strategies aimed at increasing the acceptance of AI-based health technologies.
Detailed description
This is a Cultural Adaptation and Validity-Reliability study
Study design
- Observational model
- Other
- Time perspective
- Cross-sectional
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| physical therapy patients | – | – |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients undergoing active treatment in the Physical Therapy and rehabilitation unit
Key inclusion criteria (2 listed)
- Patients undergoing active treatment in the Physical Therapy and rehabilitation unit.
- Being cognitively able to answer the questionnaire.
Key exclusion criteria (1 listed)
- Severe communication or cognitive impairments.
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
ATTARI-12 (Attitudes Toward Artificial Intelligence-12) and ATTARI-WHE (Artificial Intelligence in Work, Health and Everyday Life) Scales
Time frame: From January 2026 to January 2027
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 11 Dec 2025.
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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.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of Physical Therapy Patient, run by Barış SEVEN.
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 2 inclusion and 1 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: opening soon, as of the sponsor's last update on 11 Dec 2025. Status can change between updates, so confirm with the study contact before making plans.
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?
This study is still under way. Results are not available in the source record yet.
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?
ATTARI-12 (Attitudes Toward Artificial Intelligence-12) and ATTARI-WHE (Artificial Intelligence in Work, Health and Everyday Life) Scales (time frame: From January 2026 to January 2027). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
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 11 Dec 2025.