ATTITUDES, PERCEPTIONS, AND COMPETENCIES TOWARDS ARTIFICIAL INTELLIGENCE IN ORTHOTICS AND PROSTHETICS

NCT07547293 | Recruiting

• 1 other identifier: E-10840098-202.3.02-78
• Study Type: observational
• Target: 175
• Locations: 1 country
• Sites: 1

Brief Summary

The aim of this study is to analyze, using a mixed-methods approach, the attitudes, perceptions, levels of technology acceptance, and competencies in the use of generative artificial intelligence among healthcare professionals working in the field of orthotics and prosthetics. The study will reveal how the technological transformation in orthotics and prosthetics is perceived by healthcare professionals, and will also identify the professional requirements, barriers, and opportunities for integrating artificial intelligence technologies into practice. In this way, it aims to provide a scientific reference for decision-makers to support the updating of professional education programs in orthotics and prosthetics, the development of institutional policies, and the wider adoption of AI-supported clinical applications.

Conditions

Artificial Intelligence; Healthcare Professionals; Orthotics and Prosthetics; Attitude; Perception; Competency; Technology Acceptance

Keywords

Orthotics and Prosthetics; Artificial Intelligence; Attitude; Perception; Competency

Outcome Measures

Primary Outcomes (7)

• Demographic Information Form

  Participants' name, surname, gender, age, department of last graduation, highest level of education, total professional experience in the orthotics and prosthetics field, the institution they work at, and their position in the institution will be recorded.

  5 minutes

• Technology Acceptance Model Scale

  The scale was developed by Tubaishat to determine the level of technology acceptance. It consists of 28 items and two sub-dimensions: "Perceived Usefulness" and "Perceived Ease of Use." It is scored using a five-point Likert scale. A high score indicates a high level of technology acceptance, while a low score indicates a low level of technology acceptance.

  5 minutes

• General Attitude Toward Artificial Intelligence Scale

  This scale was developed by Schepman and Rodway in 2020 to measure individuals' general attitudes toward artificial intelligence. It consists of 20 items, including 12 items measuring positive attitudes toward AI and 8 items measuring negative attitudes toward AI. It is scored using a five-point Likert scale. A high score on the positive attitude subscale indicates strong positive attitudes toward AI, while a high score on the negative attitude subscale indicates strong negative attitudes toward AI.

  5 minutes

• Generative Artificial Intelligence Use and Competency Scale

  This scale was developed by Arslankara et al. in 2024 to measure individuals' ability to use generative artificial intelligence tools and their competency in using these tools effectively. It consists of two sections: "AI Use Competency" and "AI-Supported Learning Motivation." The first section includes 10 items, and the second section includes 9 items. It is scored using a five-point Likert scale. A high score on this scale indicates a high level of competency in effectively using generative AI tools and strong motivation for AI-supported learning, while a low score indicates low competency and motivation.

  5 minutes

• Artificial Intelligence Perception and Attitude Scale

  This scale was developed by Dinler in 2025 to comprehensively evaluate individuals' perceptions and attitudes toward artificial intelligence technologies. It includes four sub-dimensions: positive perception, negative perception, generative media use, and chatbot interaction. The scale consists of 24 items and is rated on a seven-point Likert scale. A high score on this scale indicates high levels of positive perception, usage, and interaction with AI technologies, while a low score indicates weak perceptions and attitudes toward AI.

  5 minutes

• Semi-Structured Interview Form

  The interview form includes 8 questions categorized under the following themes: AI awareness and professional perception, impact on clinical workflow and performance, ethical issues, safety and risk of errors, economic and institutional feasibility, and future expectations and changes in professional roles.

  40-60 minute

• Focus Group Interview Form

  The form includes 7 questions categorized under the following themes: AI awareness and perception, impact on clinical workflow and performance, economic feasibility, ethics, safety and professional responsibility, education, usability, and future expectations.

  60- 90 minute

Eligibility Criteria

• Age: 18 Years - 65 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

HEALTHCARE PROFESSIONALS WORKING IN THE ORTHOTICS AND PROSTHETICS FIELD

You may qualify if:

• Being 18 years of age or older,
• Actively working in the field of orthotics and prosthetics (e.g., healthcare institutions, private prosthetics-orthotics centers, universities, research laboratories, rehabilitation centers, etc.),
• Having at least 1 year of professional experience in the field of orthotics and prosthetics.

Sponsors & Collaborators

• gizem boztas: lead

Study Sites (1)

Istanbul Medipol Üniversitesi

Istanbul, Kavacık, 34040, Turkey (Türkiye)

RECRUITING

MeSH Terms

Conditions

Behavior

Central Study Contacts

Gizem Boztaş ELVERİŞLİ, Assistant Professor

CONTACT

+905439076494; gboztas@medipol.edu.tr

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: Assistant Professor

Study Record Dates

• First Submitted: April 17, 2026
• First Posted: April 23, 2026
• Study Start: April 12, 2026
• Primary Completion (Estimated): May 13, 2026
• Study Completion (Estimated): June 30, 2026
• Last Updated: April 23, 2026

Record last verified: 2026-04

Locations

TU (1)