[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"injury\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:injury":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,5,0,[8,45,76,107,144],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":30,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":34,"lastUpdatePostDateStruct":35,"startDateStruct":38,"completionDateStruct":40,"leadSponsor":42,"locationsCount":4},"100643542","early-phase-1-clinical-evaluation-of-an-ai-risk-prediction-system-ai-trips-100643542",false,"NCT07634185","Clinical Evaluation of an AI Risk Prediction System (AI-TRiPS)","Clinical Evaluation of an AI Risk Prediction and Decision Support System for Early Management of Injured Patients: a Stepped-wedge Cluster Randomised Trial","AI-TRiPS","Inclusion Criteria:\n\nClinician Participants\n\n* Senior clinical decision-maker involved in the initial trauma resuscitation (e.g. consultant or senior trainee in emergency medicine, anaesthesia, intensive care medicine, or surgery).\n* Based at one of the four participating Major Trauma Centres.\n* Able and willing to provide informed consent.\n* Completed the required study-specific training.\n\nTrauma Patients\n\n* Aged 16 years and above.\n* Treated and transported to a participating Major Trauma Centre by London's Air Ambulance.\n* Managed by one or more participating trauma clinicians during the resuscitation.\n\nExclusion Criteria:\n\nClinician Participants\n\n● Decline or withdraw informed consent at any stage.\n\nTrauma Patients\n\n* Aged under 16\n* Not treated by London's Air Ambulance.\n* Transported to a non-participating hospital.\n* Not managed by any participating clinicians.\n* Presenting with injuries resulting from burns, hangings, drownings, or isolated psychiatric emergencies.\n* Have registered a national NHS data opt-out or otherwise requested that their routine clinical data not be used for research.","ALL","16 Years",{"count":20,"type":21},1200,"ESTIMATED","INTERVENTIONAL",[24],"EARLY_PHASE1","The goal of this clinical study is to evaluate a software device and its impact on clinician behaviour during the initial management of trauma patients in a real-world clinical setting. Known as the AI-TRiPS Device this software uses real-time prehospital data and machine learning-based risk predictions which are displayed digitally for hospital trauma teams prior patient arrival.\n\nThe investigators will use a Stepped Wedge Cluster Randomised Controlled study design with an integrated process evaluation.\n\nThe Device will be deployed across the London Major Trauma System where the Major Trauma Centres will be the clusters. Each cluster will transition from control (standard care) to intervention at a pre-specified time (time of transition is randomised).\n\nPrimary Outcome: Clinician behaviour, assessed via the accuracy of risk prediction and clinician confidence.\n\nSecondary Outcome: Clinician acceptability, care process metrics, patient outcomes, and safety endpoints.\n\nPrimary study population: Hospital trauma clinicians, following initial resuscitation of each eligible trauma patient, who will complete electronic questionnaires.\n\nSecondary study population: Adult trauma patients, data will be collected for the duration of their index admission to hospital, to assess outcomes and enable comparison with clinician risk predictions.",[27,28,29],"Trauma","Injury","Decision Support Systems, Clinical",[31,32],"Device trial, prediction tool, trauma","clinical decision support","NOT_YET_RECRUITING","2026-06-03",{"date":36,"type":37},"2026-06-08","ACTUAL",{"date":39,"type":21},"2026-06-01",{"date":41,"type":21},"2027-12-01",{"name":43,"class":44},"Queen Mary University of London","OTHER",{"id":46,"slug":47,"hasResults":11,"nctId":48,"briefTitle":49,"officialTitle":50,"acronym":51,"eligibilityCriteria":52,"healthyVolunteers":11,"sex":17,"minAge":4,"maxAge":4,"enrollmentInfo":53,"targetDuration":4,"studyType":22,"phases":55,"briefSummary":57,"conditions":58,"keywords":59,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":75},"100638171","data-driven-lay-first-responder-program-in-cameroon-100638171","NCT07581327","Data-Driven Lay First Responder Program in Cameroon","Implementation of a Data-Driven Pre-Hospital Lay First Responder Program in Cameroon","K-LFR Project","Inclusion Criteria:\n\n\\- Trauma patients presenting to Limbe Regional Hospital and enrolled in the Cameroon Trauma Registry\n\nExclusion Criteria\n\n\\- Trauma patients not included in the Cameroon trauma registry at Limbe regional hospital.",{"count":54,"type":21},1812,[56],"NA","Cameroon experiences a high burden of injury-related morbidity and mortality and currently lacks a formal pre-hospital care system. Lay First Responder (LFR) programs have been implemented in several low-and middle-income countries to improve early injury care by training non-medical community members with high exposure to injury, such as commercial drivers, in basic first aid and safe transport of injured patients.\n\nThe study aims to implement and evaluate a data-driven, context-adapted LFR program in Cameroon using an implementation science approach. Quantitative trauma registry data and qualitative stakeholder interviews will be used to adapt the LFR curriculum to local injury patterns and care gaps. LFR program implementation will be associated with increased chances of survival on presentation and improved trauma outcomes.\n\nThe study is an interrupted time series evaluation of an LFR intervention where prehospital care rates and clinical patterns in the Cameroon Trauma Registry (CTR) patients at Limbe Regional hospital will be compared between historical pre-implementation controls and post-implementation of a data-driven lay first responder training program (the intervention).",[27,28],[60,27,61,62,63,64,65],"Lay First Resposnder","Pre-Hospital care","Road Traffic Injury","By-stander response","Trauma systems","Emergency Care","2026-05-05",{"date":68,"type":37},"2026-05-12",{"date":70,"type":21},"2026-09",{"date":72,"type":21},"2028-09",{"name":74,"class":44},"Sabrinah Christie",1,{"id":77,"slug":78,"hasResults":11,"nctId":79,"briefTitle":80,"officialTitle":81,"acronym":4,"eligibilityCriteria":82,"healthyVolunteers":83,"sex":84,"minAge":85,"maxAge":4,"enrollmentInfo":86,"targetDuration":4,"studyType":88,"phases":4,"briefSummary":89,"conditions":90,"keywords":93,"overallStatus":97,"whyStopped":4,"lastUpdateSubmitDate":98,"lastUpdatePostDateStruct":99,"startDateStruct":101,"completionDateStruct":103,"leadSponsor":105,"locationsCount":75},"100595064","the-relationship-between-training-dynamics-and-general-health-status-in-veteran-football-players-100595064","NCT07027592","The Relationship Between Training Dynamics and General Health Status in Veteran Football Players","The Relationship Between Training Dynamics and General Health Status With Injury Risk in Veteran Football Players","Inclusion Criteria:\n\n* Playing football as a veteran\n\nExclusion Criteria:\n\n* Not participating in a regular training program",true,"MALE","40 Years",{"count":87,"type":21},130,"OBSERVATIONAL","The goal of this observational study is to learn how training habits and general health status are related to injury risk in veteran football players (men over 35 years old who play recreational football). The main questions it aims to answer are:\n\nDo specific training patterns (such as frequency, intensity, and duration) increase or lower the risk of injury?\n\nHow does general health status (including factors like sleep, nutrition, and existing health conditions) affect injury risk?\n\nParticipants will:\n\nComplete questionnaires about their training habits, lifestyle, and general health\n\nReport any injuries they experience during the football season\n\nAttend periodic health assessments",[91,28,92],"Football","Veteran",[94,95,96],"FIFA 11+","Veteran Football Players","Injury risk","RECRUITING","2026-01-28",{"date":100,"type":37},"2026-01-30",{"date":102,"type":37},"2025-06-01",{"date":104,"type":21},"2026-05",{"name":106,"class":44},"Izmir Bakircay University",{"id":108,"slug":109,"hasResults":11,"nctId":110,"briefTitle":111,"officialTitle":112,"acronym":113,"eligibilityCriteria":114,"healthyVolunteers":11,"sex":17,"minAge":115,"maxAge":116,"enrollmentInfo":117,"targetDuration":4,"studyType":22,"phases":119,"briefSummary":120,"conditions":121,"keywords":125,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":134,"lastUpdatePostDateStruct":135,"startDateStruct":137,"completionDateStruct":139,"leadSponsor":141,"locationsCount":75},"100611832","shoulder-health-after-rehabilitation-and-performance-training-100611832","NCT07245706","Shoulder Health After Rehabilitation and Performance Training","Ensuring Shoulder Health as a Key Factor for Long Term Health and Functioning of Manual Wheelchair Users","SHARP","Inclusion Criteria:\n\n* Persons with a paraplegia below T2\n* Manual wheelchair user\n* Age 18 - 70 years\n* At discharge from initial rehabilitation\n\nExclusion Criteria:\n\n* Trauma or surgery of the shoulder with medical indication for immobilization of more than four weeks\n* Constant use of power assistance for the wheelchair\n* Any surgical implants that exclude the participant for MRI assessments of the shoulder\n* Inability to follow the study instructions, e.g., mental health problems, language problems, dementia, claustrophobia (for MRI) etc.\n* Persons with congenital conditions leading to SCI, SCI in the context of palliative care, neurodegenerative disorders, and Guillain-Barré syndrome\n* Pregnancy","18 Years","70 Years",{"count":118,"type":21},40,[56],"The goal of this study is to investigate the impact of a home-based shoulder strength training on the overall shoulder health in manual wheelchair users, and if the timepoint of such a training makes a difference. The study is focusing on persons with a spinal cord injury in the thoracic or lumbar region of the spine, that have only recently been injured and will soon be discharged from primary rehabilitation.\n\nThe shoulder training will take place either 3 or 12 months after discharge from primary rehabilitation and will be carried out twice a week for 12 weeks.\n\nThere are six measurements occurring every three months, which leads to an overall duration of 15 months. The measurements consist of:\n\n* Questionnaires about independence in daily life, participation, quality of life and physical activity\n* Assessment of shoulder strength, range of motion and function\n* Measurement of the daily wheelchair use during one week via sensors that are fixed to the wheelchair and wrist\n* one further questionnaire at the end of the measurement week about the occurrence of shoulder pain\n\nAdditionally, on four of the six measurement timepoints, a magnet resonance image (MRI) of the shoulder will be taken to assess the shoulder status (pathology, muscle volume and quality).\n\nThough all these measurements the researchers can additionally assess the load of daily life on the shoulders, and how well this matches the preparation during the primary rehabilitation.",[122,123,124,28],"Spinal Cord Injury","Nervous System Diseases","Musculoskeletal Diseases",[126,127,128,129,130,131,132,133],"Shoulder","Wheelchair","Training","Activity of Daily Life","Load","Capacity","Functioning","Monitoring","2025-11-17",{"date":136,"type":37},"2025-11-24",{"date":138,"type":21},"2025-12",{"date":140,"type":21},"2029-12",{"name":142,"class":143},"Swiss Paraplegic Research, Nottwil","NETWORK",{"id":145,"slug":146,"hasResults":11,"nctId":147,"briefTitle":148,"officialTitle":149,"acronym":4,"eligibilityCriteria":150,"healthyVolunteers":11,"sex":17,"minAge":151,"maxAge":4,"enrollmentInfo":152,"targetDuration":4,"studyType":22,"phases":154,"briefSummary":155,"conditions":156,"keywords":4,"overallStatus":97,"whyStopped":4,"lastUpdateSubmitDate":162,"lastUpdatePostDateStruct":163,"startDateStruct":165,"completionDateStruct":167,"leadSponsor":169,"locationsCount":75},"100369604","optimized-recovery-after-trauma-in-geriatric-patient-100369604","NCT04092504","Optimized Recovery After Trauma in Geriatric Patient","Optimized Recovery After Trauma in Geriatric Patient (Gero - ERAT)","Inclusion Criteria:\n\n* ≥ 65 years old\n* In hospital due to physical trauma\n* Able to speak and understand Swedish\n\nExclusion Criteria:\n\n* Documented palliative care\n* Cognitive impairment","65 Years",{"count":153,"type":21},540,[56],"Currently, there is evidence that structured care within the healthcare system increases the conditions for good care and better recovery. We want to investigate whether a new care concept (gero-ERAT) that combines two variants of structured care can improve the recovery of elderly patients affected by a physical trauma.\n\nOur hope is that the project will reduce the complications, short care times, fewer re-admissions and that more patients can return to regular living, which reduces the suffering for the patient and his relatives. In addition to patient benefit, a successful outcome will also result in reduced costs for healthcare and society as a whole. The concept of care is based on an increased patient participation, which is in line with the values of the Västra Götaland region and the Sahlgrenska university hospital\n\nThrough the PhD project, four studies will be published. A qualitative interview study to investigate patients' experiences of care and recovery after trauma.\n\nAfter that, a prospective cohort survey of two groups is carried out; conventional care and gero-ERAT. Data will begin to be collected in the control group and when the control group is full geroRATAT will be implemented in the care department and we then collect data in the intervention group.\n\nBased on collected data, we will publish two additional studies one with a focus on health economics as well as one focusing on care time and recovery based on age and harvest estimation.",[157,158,27,159,28,160,161],"Geriatric Assessment","Quality of Life","Fragility","Rehabilitation","Recovery","2024-11-21",{"date":164,"type":37},"2024-11-25",{"date":166,"type":37},"2019-05-09",{"date":168,"type":21},"2028-01-01",{"name":170,"class":171},"Vastra Gotaland Region","OTHER_GOV"]