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

April 17, 2026 updated by: gizem boztas

EVALUATION OF ATTITUDES, PERCEPTIONS, AND COMPETENCIES TOWARD ARTIFICIAL INTELLIGENCE TECHNOLOGIES AMONG HEALTHCARE PROFESSIONALS WORKING IN THE ORTHOTICS AND PROSTHETICS FIELD: A MIXED METHODS STUDY

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.

Study Overview

Status

Recruiting

Conditions

Detailed Description

Healthcare professionals working in the field of orthotics and prosthetics who voluntarily agree to participate will be included in the study. Based on the G*Power analysis, a minimum of 159 participants is required to achieve 95% statistical power at a 5% significance level (|ρ| = 0.277). Considering a possible sample loss of 10%, it was determined that the study should be conducted with at least 175 healthcare professionals.

For the quantitative part of the study, the Technology Acceptance Model Scale will be used to determine technology acceptance levels; the General Attitude Toward Artificial Intelligence Scale will be used to measure general attitudes toward AI; the Generative Artificial Intelligence Use and Competency Scale will be used to assess AI usage skills and AI-supported learning motivation; and the Artificial Intelligence Perception and Attitude Scale will be used to examine AI perceptions and usage tendencies.

For the qualitative part of the study, face-to-face interviews will be conducted with participants who actively use artificial intelligence in their field, using 8 semi-structured questions designed to evaluate AI awareness, its impact on clinical workflow, economic feasibility, and ethical and safety concerns. After the individual interviews, an online focus group interview will be conducted with 5 participants who use AI most intensively. The focus group will consist of 7 questions prepared to explore healthcare professionals' shared perceptions, usage experiences, professional concerns, and future suggestions regarding artificial intelligence through group interaction.

Study Type

Observational

Enrollment (Estimated)

175

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Gizem Boztaş ELVERİŞLİ, Assistant Professor
  • Phone Number: +905439076494
  • Email: gboztas@medipol.edu.tr

Study Locations

  • Turkey (Türkiye)
    • Kavacık
      • Istanbul, Kavacık, Turkey (Türkiye), 34040
        • Recruiting
        • İstanbul Medipol Üniversitesi

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Probability Sample

Study Population

HEALTHCARE PROFESSIONALS WORKING IN THE ORTHOTICS AND PROSTHETICS FIELD

Description

Inclusion Criteria:

  • 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.

Exclusion Criteria:

-

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Demographic Information Form
Time Frame: 5 minutes
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
Time Frame: 5 minutes
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
Time Frame: 5 minutes
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
Time Frame: 5 minutes
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
Time Frame: 5 minutes
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
Time Frame: 40-60 minute
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
Time Frame: 60- 90 minute
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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

gizem boztas

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 12, 2026

Primary Completion (Estimated)

May 13, 2026

Study Completion (Estimated)

June 30, 2026

Study Registration Dates

First Submitted

April 17, 2026

First Submitted That Met QC Criteria

April 17, 2026

First Posted (Actual)

April 23, 2026

Study Record Updates

Last Update Posted (Actual)

April 23, 2026

Last Update Submitted That Met QC Criteria

April 17, 2026

Last Verified

April 1, 2026

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • E-10840098-202.3.02-78

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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