Clinical Research Directory

Animal Assisted Therapy

This study looks at whether walking with a therapy dog helps adult and pediatric trauma patients move more during their hospital stay. Early movement after an injury or surgery can prevent problems such as blood clots, pressure sores, and muscle loss, but pain and anxiety often make it hard for patients to get out of bed. Each patient in this study takes part in two walking sessions-one with a certified therapy dog and one without a dog. The order is randomized, so some patients walk with the dog first and others walk without the dog first. Before and after each walk, patients fill out short surveys about their pain, anxiety, and motivation to move. The research team measures how far and how long each patient walks in both sessions. The goal of this project is to see if therapy dog visits can safely and effectively improve mobility, reduce pain and anxiety, and make walking more enjoyable for trauma patients. Findings from this study may help hospitals design better rehabilitation programs that use animal-assisted therapy to support physical and emotional recovery.

Machine Learning-Based Prediction of Postoperative Pain After Pediatric Ambulatory Surgery

This study aims to predict pain after surgery in children of ages 1 to 3 years by using computer programming (machine learning). Participant children will be observed before, during, and after surgery. Before surgery, the investigators will record each child's age, sex, weight, and the parent's level of anxiety using a short questionnaire (STAI: State Trait Anxiety Inventory). During surgery, the investigators will note the type of the surgery, how long it takes, and the medication given for pain relief. After surgery, the child's pain will be checked using the FLACC (Face, Legs, Activity, Cry, Consolability) scale, which assesses the child's face, legs, activity, crying, and how easy they are to comfort. For each assesment the children will be given points from 0 to 2. Pain will be measured 2 times. Firstly when the child reaches to the postoperative recovery room after they are monitorized. Secondly after 30 minutes spending in recovery room. At both times the pain scores and vital signs (pulse pressure and saturation) will be noted. No additional medication or intervention will be done throughout the study. All information will be stored without names or personal details. A computer model will study 80% of the data and then test itself on the remaining 20% of the collected data to see how well it can predict pain.