Chronic PainNCT07898228
Chronic Pain Assessment Via AI-Powered Game
A study testing AI-powered game in people with Chronic Pain, run by Necmettin Erbakan University.
Trial summary
Pain is an individual experience that has existed throughout human history. Pain is divided into acute and chronic depending on its duration. While acute pain is caused by a specific cause and can be easily treated because it lasts for a short time, the same is not true for chronic pain. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Chronic Pain
- What is being tested?
- AI-powered game
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 120 participants
- Where
- No sites listed yet
- Study dates
- 27 Nov 2026to 31 Dec 2026
- Phase
- Interventional
- 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
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Playing the AI-supported game during the 2025-2026 Fall Semester,
- Volunteering to participate in the research.
Who cannot join
- experiencing difficulty speaking and understanding Turkish,
- filling out data collection forms incompletely or incorrectly,
- wishing to withdraw from the study.
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
Official title: Long-term Outcomes of an Artificial Intelligence-Supported Game on Nursing Students' Attitudes Toward Patients With Chronic Pain: Post-test Only Randomized Controlled Trial
Pain is an individual experience that has existed throughout human history. Pain is divided into acute and chronic depending on its duration. While acute pain is caused by a specific cause and can be easily treated because it lasts for a short time, the same is not true for chronic pain.
Read the detailed description
Nurses have important responsibilities in chronic pain management. It is very important for nurses to develop knowledge, attitudes and beliefs about chronic pain during their undergraduate education in order to effectively manage chronic pain. Research has determined that nursing students' knowledge of chronic pain is quite insufficient and their attitudes are negative. Although nursing students have some obstacles in chronic pain management, it is reported that students' knowledge and attitudes can be improved by using alternative teaching methods and techniques. It is known that today's Generation Z students are prone to information technologies. This research aims to determine the long-term results of an artificial intelligence-supported game in evaluating nursing students' attitudes towards chronic pain patients. In the research, only post-test randomized controlled research design will be used. The population will consist of 156 third-year students registered at Necmettin Erbakan University, Faculty of Nursing, Department of Nursing in the 2026-2027 Fall Semester. Students from the population who meet the criteria for inclusion in the research will constitute the sample. Within the scope of the sample, 60 students who played the artificial intelligence-supported game one year ago by random selection will form the intervention group. Randomly 60 students outside the intervention group will form the control group. In this context, the sample of the study will consist of 120 third-year nursing students. In collecting data; "Introductory Characteristics Form" and "Healthcare Professionals' Attitude Scale towards Chronic Pain Patients" will be used. In the study, a female patient with right knee pain was gamified by artificial intelligence. In the game, the student is expected to evaluate the patient's chronic pain. The specified game was played individually by the researchers to 60 intervention group students in the second grade of nursing. After the game was played, the students' opinions about the game were taken and their satisfaction was evaluated. The same students have moved on to their third year of nursing. In this study, the attitude of intervention group students who played an artificial intelligence-supported game a year ago will be evaluated and their data will be compared with the control group students who did not play the game. The data of this study will be collected by the researchers through face-to-face interviews in November-December 2026, after obtaining ethics committee and institutional permissions. It is thought that the research will make significant contributions to the literature in terms of both determining the long-term results of an artificial intelligence-supported game and evaluating the attitudes of nursing students towards patients with chronic pain.
- Conditions
- Chronic Pain
- Being tested
- AI-powered game
- Keywords
- artifical intelligence, chronic pain, nursing student
- Medical subject headings
- Chronic Pain
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-powered gameOther
It is an AI-powered game developed for chronic pain assessment.
| Study group | Role | What they receive |
|---|---|---|
| Intervention group | Experimental | It is the students who are engaging in the AI-powered chronic pain assessment. Receives: Other: AI-powered game |
| Control group | No intervention | These are students who do not receive any intervention other than routine chronic pain education. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Scale for Healthcare Professionals' Attitudes Toward Patients with Chronic Pain
This scale is designed to measure the attitudes of healthcare professionals toward patients with chronic pain. It is a 5-point Likert-type scale consisting of 18 items. Two independent factors have been identified: "sensitivity orientation" and "misconception orientation." There is no established cut-off score for the scale. Each item within these factors is scored on a scale from 1 to 5. For the sensitivity orientation factor, scores range from a minimum of 1 to a maximum of 5; similarly, for the misconception orientation factor, scores also range from 1 to 5. A higher score on the misconception orientation factor indicates a lower level of misconceptions among healthcare professionals regarding patients with chronic pain, while a higher score on the sensitivity orientation factor indicates a greater degree of sensitivity toward these patients.
Measured: 1-3 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Oct 2026
- Study start27 Nov 2026 (estimated)
- Primary completion15 Dec 2026 (estimated)
- Study completion31 Dec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Chronic PainStudies of the same condition, open and under way.
- More trials run by Necmettin Erbakan UniversityThe sponsor's other registered studies.
- 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
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Intervention group: Those playing the AI-supported game Control group: Students who do not play the game
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 120 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Necmettin Erbakan University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Yadigar Ordu, Necmettin Erbakan University
- Investigators
- Yadigar ORDU, PhD, Principal investigator, yadigar.ordu@erbakan.edu.tr
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07898228
- Sponsor's protocol ID
- Necmettin Erbakan Uni
- Status last verified
- Oct 2026
- First submitted
- 13 Oct 2026
- Last updated
- 27 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: As the data contains personal information, it will be kept confidential in accordance with ethical procedures. It may be provided upon reasonable request.
Study at a glance
From the registry record, last updated by the sponsor on 27 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Long-term Outcomes of an Artificial Intelligence-Supported Game on Nursing Students' Attitudes Toward Patients With Chronic Pain: Post-test Only Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT07898228
- Acronym / sponsor ID
- Necmettin Erbakan Uni
- Conditions
- Chronic Pain
- Keywords
- artifical intelligence, chronic pain, nursing student
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 120 participants (estimated)
- Lead sponsor
- Necmettin Erbakan UniversityUniversity, hospital or other
- Study start
- 27 Nov 2026 (estimated)
- Primary completion
- 15 Dec 2026 (estimated)
- Study completion
- 31 Dec 2026 (estimated)
- First posted
- 27 Oct 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.
Pain is an individual experience that has existed throughout human history. Pain is divided into acute and chronic depending on its duration. While acute pain is caused by a specific cause and can be easily treated because it lasts for a short time, the same is not true for chronic pain.
Detailed description
Nurses have important responsibilities in chronic pain management. It is very important for nurses to develop knowledge, attitudes and beliefs about chronic pain during their undergraduate education in order to effectively manage chronic pain. Research has determined that nursing students' knowledge of chronic pain is quite insufficient and their attitudes are negative. Although nursing students have some obstacles in chronic pain management, it is reported that students' knowledge and attitudes can be improved by using alternative teaching methods and techniques. It is known that today's Generation Z students are prone to information technologies. This research aims to determine the long-term results of an artificial intelligence-supported game in evaluating nursing students' attitudes towards chronic pain patients. In the research, only post-test randomized controlled research design will be used. The population will consist of 156 third-year students registered at Necmettin Erbakan University, Faculty of Nursing, Department of Nursing in the 2026-2027 Fall Semester. Students from the population who meet the criteria for inclusion in the research will constitute the sample. Within the scope of the sample, 60 students who played the artificial intelligence-supported game one year ago by random selection will form the intervention group. Randomly 60 students outside the intervention group will form the control group. In this context, the sample of the study will consist of 120 third-year nursing students. In collecting data; "Introductory Characteristics Form" and "Healthcare Professionals' Attitude Scale towards Chronic Pain Patients" will be used. In the study, a female patient with right knee pain was gamified by artificial intelligence. In the game, the student is expected to evaluate the patient's chronic pain. The specified game was played individually by the researchers to 60 intervention group students in the second grade of nursing. After the game was played, the students' opinions about the game were taken and their satisfaction was evaluated. The same students have moved on to their third year of nursing. In this study, the attitude of intervention group students who played an artificial intelligence-supported game a year ago will be evaluated and their data will be compared with the control group students who did not play the game. The data of this study will be collected by the researchers through face-to-face interviews in November-December 2026, after obtaining ethics committee and institutional permissions. It is thought that the research will make significant contributions to the literature in terms of both determining the long-term results of an artificial intelligence-supported game and evaluating the attitudes of nursing students towards patients with chronic pain.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
- Model description
- Intervention group: Those playing the AI-supported game Control group: Students who do not play the game
| Arm | Type | Receives |
|---|---|---|
| Intervention group | Experimental | Other: AI-powered gameIt is the students who are engaging in the AI-powered chronic pain assessment. |
| Control group | No intervention | –These are students who do not receive any intervention other than routine chronic pain education. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- Playing the AI-supported game during the 2025-2026 Fall Semester,
- Volunteering to participate in the research.
Key exclusion criteria (3 listed)
- experiencing difficulty speaking and understanding Turkish,
- filling out data collection forms incompletely or incorrectly,
- wishing to withdraw from the study.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-powered gameIt is an AI-powered game developed for chronic pain assessment. | Other | Intervention group |
Primary outcome
Scale for Healthcare Professionals' Attitudes Toward Patients with Chronic Pain
Time frame: 1-3 months
This scale is designed to measure the attitudes of healthcare professionals toward patients with chronic pain. It is a 5-point Likert-type scale consisting of 18 items. Two independent factors have been identified: "sensitivity orientation" and "misconception orientation." There is no established cut-off score for the scale. Each item within these factors is scored on a scale from 1 to 5. For the sensitivity orientation factor, scores range from a minimum of 1 to a maximum of 5; similarly, for the misconception orientation factor, scores also range from 1 to 5. A higher score on the misconception orientation factor indicates a lower level of misconceptions among healthcare professionals regarding patients with chronic pain, while a higher score on the sensitivity orientation factor indicates a greater degree of sensitivity toward these patients.
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 27 Oct 2026.
- Individual participant dataSharing planned: No. As the data contains personal information, it will be kept confidential in accordance with ethical procedures. It may be provided upon reasonable request.
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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.
Yadigar ORDU, PhD principal investigator
yadigar.ordu@erbakan.edu.tr
Questions about this trial
What is this clinical trial studying?
A study testing AI-powered game in people with Chronic Pain, run by Necmettin Erbakan University.
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 3 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 27 Oct 2026. 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?
Contact Yadigar ORDU, PhD (+905071492818, yadigar.ordu@erbakan.edu.tr), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Scale for Healthcare Professionals' Attitudes Toward Patients with Chronic Pain (time frame: 1-3 months). 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 27 Oct 2026.