Cultural Adaptation of Attitude Scales Towards Artificial Intelligence Into Turkish

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.

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.

Study Overview

• Status: Not yet recruiting
• Conditions: Physical Therapy Patient

Detailed Description

This is a Cultural Adaptation and Validity-Reliability study

• Study Type: Observational
• Enrollment (Estimated): 200

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Probability Sample

Study Population

Patients undergoing active treatment in the Physical Therapy and rehabilitation unit

Description

Inclusion Criteria:

• Patients undergoing active treatment in the Physical Therapy and rehabilitation unit.
• Being cognitively able to answer the questionnaire.

Exclusion Criteria:

• Severe communication or cognitive impairments.

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort
physical therapy patients

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Time Frame
ATTARI-12 (Attitudes Toward Artificial Intelligence-12) and ATTARI-WHE (Artificial Intelligence in Work, Health and Everyday Life) Scales	From January 2026 to January 2027

Collaborators and Investigators

• Sponsor: Barış SEVEN

Study record dates

Study Major Dates

• Study Start (Estimated): January 1, 2026
• Primary Completion (Estimated): June 1, 2026
• Study Completion (Estimated): January 1, 2027

Study Registration Dates

• First Submitted: November 29, 2025
• First Submitted That Met QC Criteria: November 29, 2025
• First Posted (Actual): December 11, 2025

Study Record Updates

• Last Update Posted (Actual): December 11, 2025
• Last Update Submitted That Met QC Criteria: November 29, 2025
• Last Verified: November 1, 2025

More Information

Terms related to this study

• Other Study ID Numbers: 10

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No