Artificial IntelligenceNCT07547293
AI Readiness in Orthotics-Prosthetics
An observational study of Artificial Intelligence and Healthcare Professionals, run by gizem boztas at 1 site in Turkey (Türkiye).
Trial 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. Read more about this study
- Who is it for?
- Ages 18 to 65 yearsHealthy volunteers can take part
- Conditions the study is for
- Artificial Intelligence, Healthcare Professionals, Orthotics and Prosthetics
- How many people
- 176 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 18 Apr 2026to 10 Jun 2026
- 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: HEALTHCARE PROFESSIONALS WORKING IN THE ORTHOTICS AND PROSTHETICS FIELD
Who may be able to join
- 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.
Who cannot join
- -
Trial locations and contacts
1 site in 1 country.
Turkey (Türkiye)1 site
Istanbul Medipol Üniversitesi
Istanbul, Kavacık, 34040
About this study
Official title: Artificial Intelligence Readiness and Digital Health Transformation in Orthotics-Prosthetics Practice: A Mixed-Methods Study of Health Professionals' Attitudes, Competencies, and Implementation Barriers
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.
Read the 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.
- Conditions
- Artificial Intelligence, Healthcare Professionals, Orthotics and Prosthetics, Attitude, Perception, Competency
- Keywords
- Orthotics and Prosthetics, Artificial Intelligence, Attitude, Perception, Competency
- Medical subject headings
- Behavior
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 5 minutes
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.
Measured: 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.
Measured: 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.
Measured: 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.
Measured: 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.
Measured: 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.
Measured: 60- 90 minute
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted23 Apr 2026
- Study start18 Apr 2026
- Primary completion10 Jun 2026
- Study completion10 Jun 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Artificial IntelligenceStudies 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
- 176 participants (actual)
Sponsor and investigators
- Lead sponsor
- gizem boztas
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, gizem boztas, Istanbul Medipol University Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07547293
- Sponsor's protocol ID
- E-10840098-202.3.02-78
- Status last verified
- Jun 2026
- First submitted
- 17 Apr 2026
- Last updated
- 22 Jun 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Individual participant data will not be shared. This study does not include patient data; the data consist of survey responses and qualitative interview data obtained from health professionals working in orthotics-prosthetics practice. Because the qualitative data include detailed participant narratives, there may be a risk of indirect identification even after anonymization. Therefore, individual-level data will not be shared with other researchers. Only aggregated findings will be reported in publications.
Study at a glance
From the registry record, last updated by the sponsor on 22 Jun 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Artificial Intelligence Readiness and Digital Health Transformation in Orthotics-Prosthetics Practice: A Mixed-Methods Study of Health Professionals' Attitudes, Competencies, and Implementation Barriers
- ClinicalTrials.gov ID
- NCT07547293
- Acronym / sponsor ID
- E-10840098-202.3.02-78
- Conditions
- Artificial Intelligence, Healthcare Professionals, Orthotics and Prosthetics, Attitude, Perception, Competency
- Keywords
- Orthotics and Prosthetics, Artificial Intelligence, Attitude, Perception, Competency
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 176 participants (actual)
- Lead sponsor
- gizem boztasUniversity, hospital or other
- Study start
- 18 Apr 2026 (actual)
- Primary completion
- 10 Jun 2026 (actual)
- Study completion
- 10 Jun 2026 (actual)
- First posted
- 23 Apr 2026 (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 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.
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 design
- Observational model
- Other
- Time perspective
- Cross-sectional
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- HEALTHCARE PROFESSIONALS WORKING IN THE ORTHOTICS AND PROSTHETICS FIELD
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (1 listed)
- -
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
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.
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.
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.
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.
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.
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.
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.
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 22 Jun 2026.
- Individual participant dataSharing planned: No. Individual participant data will not be shared. This study does not include patient data; the data consist of survey responses and qualitative interview data obtained from health professionals working in orthotics-prosthetics practice. Because the qualitative data include detailed participant narratives, there may be a risk of indirect identification even after anonymization. Therefore, individual-level data will not be shared with other researchers. Only aggregated findings will be reported in publications.
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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 Artificial Intelligence and Healthcare Professionals, run by gizem boztas 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 3 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: finished, as of the sponsor's last update on 22 Jun 2026. 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?
Technology Acceptance Model Scale (time frame: 5 minutes). The study lists 7 primary outcomes in all. 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 22 Jun 2026.