An interventional study of AI-powered game in Chronic Pain, sponsored by Necmettin Erbakan University. Not yet recruiting. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-27.
Sponsored by Necmettin Erbakan University · Not applicable, Interventional, and Other
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.
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.
3,001 studies on the registry are indexed under Chronic Pain; 707 are open to participants now.
This study's planned enrollment of 120 is above the median of 60 across 2,212 interventional studies indexed under Chronic Pain.
Browse Chronic Pain studies →Necmettin Erbakan University is the lead sponsor of 200 studies on the registry; 48 are open to participants now.
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Exclusion Criteria:
It is the students who are engaging in the AI-powered chronic pain assessment.
Other: AI-powered game
These are students who do not receive any intervention other than routine chronic pain education.
It is an AI-powered game developed for chronic pain assessment.
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.
Time frame: 1-3 months
No study locations are listed for this record.
Plan to share: No — As the data contains personal information, it will be kept confidential in accordance with ethical procedures. It may be provided upon reasonable request.
No publications or documents are linked to this record.
Start is estimated for Nov 2026; primary completion for Dec 2026, 0 months later.
Of 1,209 non-industry interventional studies with no phase under Chronic Pain, half reached primary completion within 21 months of starting (the median), counting those still running; a quarter within 9 and three quarters within 39. This study's planned 0 months is below that.
Counting every sponsor, half of 1,297 studies reached it within 21 months; a quarter within 9 and three quarters within 39.
How these figures are worked out, and which studies are left out of them.
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
This study is not yet recruiting, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.
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