[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"needlestick-injuries\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:needlestick-injuries":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":29,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":33,"lastUpdatePostDateStruct":34,"startDateStruct":37,"completionDateStruct":39,"leadSponsor":41,"locationsCount":4},"100636221","ai-supported-gamified-training-for-sharps-injury-prevention-in-nurses-100636221",false,"NCT07562867","AI-Supported Gamified Training for Sharps Injury Prevention in Nurses","The Effect of An Artifıcial Intelligence-Supported Gamifıed Training Program on Nurses' Knowledge and Attitudes Toward The Prevention of Sharps Injuries","Inclusion Criteria:\n\n* Registered nurses working in the participating hospitals\n* Working in the institution for at least 2 months (Phase 1) or newly employed within the last 1 month (Phase 2)\n* Willing to participate in the study\n* Able to use smartphone-based technologies\n* Providing written informed consent\n\nExclusion Criteria:\n\n* Having received prior training based on the Health Belief Model for sharps injury prevention\n* Previous professional nursing experience before current employment (for newly recruited nurses in Phase 2)\n* Being on leave during the data collection period\n* Failure to attend training sessions (intervention group)\n* Incomplete data collection forms\n* Withdrawal from the study at any stage","ALL","18 Years",{"count":19,"type":20},36,"ESTIMATED","INTERVENTIONAL",[23],"NA","This study aims to evaluate the effect of a Health Belief Model (HBM)-based, artificial intelligence (AI)-supported gamified training program on nurses' knowledge and attitudes toward the prevention of sharps injuries. Sharps injuries remain a significant occupational risk for healthcare workers, particularly nurses, despite existing standard precautions.\n\nThe study will be conducted in two phases. In the first phase, the validity and reliability of the Sharps Injury Prediction Scale will be tested in a nurse population. In the second phase, a quasi-experimental pretest-posttest control group design will be used to assess the effectiveness of the intervention.\n\nThe study will be carried out in two hospitals from the same healthcare group located in different cities to prevent interaction between groups. A total of 36 nurses will be included, with 18 participants in the intervention group and 18 in the control group.\n\nThe intervention group will receive a structured, HBM-based training program consisting of seven sessions incorporating AI-supported content, gamified scenarios, interactive materials, and feedback mechanisms to enhance engagement and promote behavior change. The control group will receive routine institutional training on sharps injury prevention.\n\nData will be collected at baseline, immediately after the intervention, and two months later. Outcome measures include nurses' knowledge, attitudes toward safe sharps use, and sharps injury risk perception.\n\nIt is expected that the AI-supported gamified training program will significantly improve knowledge, attitudes, and risk awareness compared to routine training. The findings may support the integration of innovative, theory-based educational interventions into institutional training programs to enhance occupational safety.",[26,27,28],"Sharps Injuries","Needlestick Injuries","Occupational Exposure",[30,31],"Sharps injuries","Nursing education","NOT_YET_RECRUITING","2026-04-26",{"date":35,"type":36},"2026-05-01","ACTUAL",{"date":38,"type":20},"2026-06-01",{"date":40,"type":20},"2027-06-01",{"name":42,"class":43},"Baskent University","OTHER"]