[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"nurse-retention\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:nurse-retention":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,53],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":32,"overallStatus":40,"whyStopped":4,"lastUpdateSubmitDate":41,"lastUpdatePostDateStruct":42,"startDateStruct":45,"completionDateStruct":47,"leadSponsor":49,"locationsCount":52},"100650931","basic-trauma-training-programme-for-newly-graduated-nurses-in-saudi-trauma-centres-100650931",false,"NCT07754903","Basic Trauma Training Programme for Newly Graduated Nurses in Saudi Trauma Centres","Evaluating the Basic Trauma Training (BTT) Programme on Workforce Sustainability Among Newly Graduated Nurses in Saudi Level One Trauma Centres: Protocol for a Two-Site, Non-Equivalent Comparison-Group Quasi-Experimental Study","BTTS","Inclusion Criteria:\n\n* Saudi Commission for Health Specialties (SCFHS) licensure\n* Less than 12 months of post-licensure clinical experience at baseline\n* Current direct patient-facing employment in a trauma-related intensive care unit at King Saud Medical City or Northern Medical Tower\n* Willing and able to provide written informed consent\n\nExclusion Criteria:\n\n* More than 12 months of post-licensure clinical experience\n* Employment outside trauma-related ICU settings\n* Agency or temporary staffing status\n* Extended leave during the intervention or data-collection period\n* Prior formal trauma-specific training (ATCN, TNCC) before enrolment",true,"ALL","21 Years",{"count":21,"type":22},128,"ESTIMATED","INTERVENTIONAL",[25],"NA","New nurses often find it difficult to adjust when they start working in fast-paced, high-pressure trauma units, and many leave their jobs within the first two years. This study looks at whether a two-day training programme, called Basic Trauma Training (BTT), helps newly graduated nurses in Saudi trauma hospitals feel more confident, satisfied and engaged in their work, and more likely to stay in the nursing profession.\n\nThe study takes place at two trauma hospitals in Saudi Arabia. Because it is not practical to randomly assign nurses to groups in this real-world hospital setting, the study compares an earlier group of new nurses, who receive standard hospital orientation only, with a later group, who receive standard orientation plus the two-day BTT training. Both groups complete questionnaires before and after their orientation or training period, answering questions about job satisfaction, engagement, stress and their plans to stay in the role. The study also looks at actual staff retention using hospital employment records at 6 and 12 months. Nurses in the comparison group are offered the BTT training later, once their part of the study is complete, so that everyone has the chance to take part in the training.",[28,29,30,31],"Nurse Retention","Burnout, Professional","Job Satisfaction","Transition to Practice, Professional",[33,34,35,36,37,38,39],"newly graduated nurses","trauma nursing","workforce sustainability","transition shock","job demands-resources model","Saudi Arabia","quasi-experimental","NOT_YET_RECRUITING","2026-08-07",{"date":43,"type":44},"2026-08-11","ACTUAL",{"date":46,"type":22},"2026-09-01",{"date":48,"type":22},"2027-01-31",{"name":50,"class":51},"Lincoln University College","OTHER",1,{"id":54,"slug":55,"hasResults":11,"nctId":56,"briefTitle":57,"officialTitle":58,"acronym":4,"eligibilityCriteria":59,"healthyVolunteers":17,"sex":18,"minAge":60,"maxAge":61,"enrollmentInfo":62,"targetDuration":4,"studyType":64,"phases":4,"briefSummary":65,"conditions":66,"keywords":72,"overallStatus":40,"whyStopped":4,"lastUpdateSubmitDate":83,"lastUpdatePostDateStruct":84,"startDateStruct":86,"completionDateStruct":88,"leadSponsor":90,"locationsCount":52},"100644217","non-invasive-sleep-monitoring-for-burnout-and-retention-risk-in-postgraduate-nurses-100644217","NCT07666633","Non-Invasive Sleep Monitoring for Burnout and Retention Risk in Postgraduate Nurses","Development of a Non-Invasive Sleep-Based Prediction Platform for Burnout and Retention Risk Among Postgraduate Nurses: A Psychophysiological and AI-Driven Approach for High-Stress Clinical Populations","Inclusion Criteria:\n\n* Newly employed postgraduate nurses within the first 3 months of clinical practice\n* Age 20 to 65 years\n* Full-time clinical nursing staff\n* Able to read and complete Chinese questionnaires\n* Willing to participate in repeated psychological assessments and non-invasive sleep monitoring\n* Able to provide written informed consent\n\nExclusion Criteria:\n\n* Diagnosed severe sleep disorders\n* Diagnosed severe psychiatric disorders\n* Current use of medications that significantly affect sleep or autonomic nervous system function\n* Inability to comply with longitudinal follow-up procedures\n* Inability to complete repeated sleep monitoring assessments","20 Years","65 Years",{"count":63,"type":22},100,"OBSERVATIONAL","Newly graduated nurses often experience high levels of psychological stress, sleep disturbance, fatigue, and burnout during the early transition into clinical practice. Early identification of burnout and retention risk may help improve mental well-being, workforce stability, and quality of patient care.\n\nThis longitudinal observational study aims to develop a non-invasive sleep-based prediction platform for assessing burnout and retention risk among postgraduate nurses. Participants will undergo repeated psychological assessments and non-contact sleep monitoring during the study period. Sleep-related physiological parameters, including sleep efficiency, sleep structure, heart rate variability, and respiratory variability, will be collected together with validated psychological questionnaires.\n\nThe study will further apply machine learning and artificial intelligence approaches to integrate longitudinal physiological and psychological data for risk prediction and early identification of burnout-related conditions. The findings may support future development of precision mental health monitoring and supportive management strategies for high-stress healthcare workers.",[67,68,69,70,28,71],"Burnout","Sleep Disturbance","Occupational Stress","Mental Health","Fatigue",[73,74,75,76,77,78,79,80,81,82],"Postgraduate Nurses","Non-Invasive Sleep Monitoring","Burnout Risk","Retention Risk","Artificial Intelligence","Machine Learning","Sleep Quality","Heart Rate Variability","Shift Work","Psychological Stress","2026-06-18",{"date":85,"type":44},"2026-06-24",{"date":87,"type":22},"2026-08-01",{"date":89,"type":22},"2027-04-23",{"name":91,"class":51},"Kaohsiung Armed Forces General Hospital"]