280 Clinical Trials for Various Conditions
Suppose that observers are trying to classify a spot on the skin as normal or abnormal and suppose that the two attributes that are important are the color and shape of the spot. The investigators have found that perceptual decisions of this short are shaped by the prevalence of the target abnormality and by the feedback that observers (Os) receive. If abnormal spots are rare (low prevalence), Os will tend to become more conservative about calling spots abnormal. In this experiment, Os see items defined by color and shape. They are looking for one combination (bumpy green). Bumpy green targets can be common (50% prevalence) or rare (10%). Os in one group will get feedback about their responses based on color. The other group will receive feedback based on shape. The investigators will look for effects of prevalence and of the type of feedback. The goal is to better understand perceptual decisions in settings like clinical evaluation of skin lesions.
Learning deficits are frequent in individuals with Parkinson's Disease. Clear feedback is integral because through feedback individuals know whether they should stick with an action that they have been doing (if the feedback is positive), or change their course of action (if the feedback is negative). Learning though immediate feedback has been shown to be depended on the brain chemical dopamine that is disrupted in individuals with Parkinson's Disease. During learning, feedback can also be presented after a delay. The investigators propose that learning through delayed feedback will lead to greater learning in individuals with Parkinson's Disease, since learning through delayed feedback does not rely on dopamine. During the proposed paradigm, participants with Parkinson's Disease complete a multiple-choice test. After making their selection on the multiple-choice test, they either see feedback immediately or are given feedback 25 minute later after reviewing their selection on the multiple-choice test. The investigators hypothesize that participants will learn better when they are provided with delayed feedback.
In this pilot study, the investigators will show feasibility of the NLP-based feedback system in 20 consultations of men with newly diagnosed prostate cancer. The investigators will recruit from the practices of up to 10 physicians who typically see these patients. The investigators will report the top five sentences from each consultation across key content areas (cancer prognosis, life expectancy, erectile dysfunction, urinary incontinence, and irritative urinary symptoms) to both patients and physicians within 2 weeks of the consultation.
The goal of this proposal is to examine the influence of feedback timing on learning and brain function in individuals with moderate-to-severe traumatic brain injury (TBI), with and without depression.
Feedback delivered during motor practice can help promote motor skill learning, enhance confidence, and alter brain connectivity. However, the optimal way to provide feedback to promote learning, confidence and brain connectivity is unknown. This project will study how the feedback that is provided during practice of a movement skill can help people learn and build confidence and whether these correspond to changes in brain function. The investigators will measure motor skill performance, confidence, and resting state brain connectivity before and after a session of motor practice.
Feedback delivered during motor practice can help promote motor skill learning and promote confidence. However, the optimal way to provide feedback to promote learning and confidence is unknown. This project will study how the feedback that is provided during practice of a movement skill can help people learn and build confidence. The investigators will measure motor skill performance and confidence before and after a session of motor practice.
This project will develop and refine a computer-delivered integrated Personalized Feedback Intervention (PFI) that directly addresses smoking and distress tolerance. The PFI will focus on feedback about smoking behavior, distress tolerance, and adaptive coping strategies.
The objectives of this study are: 1. The investigators plan to evaluate and validate the use of a novel wireless insole device (Loadsol) that provides real-time biofeedback on post-operative mobility and weight bearing following total joint arthroplasty. 2. The investigators plan to utilize the wireless insole device to determine if biofeedback is sufficient for improving gait symmetry following total joint arthroplasty. 3. The investigators plan to determine if there is a correlation between patient reported outcomes and measured postoperative weight bearing.
This project will develop and refine a computer-delivered integrated Personalized Feedback Intervention (PFI) that directly addresses smoking and anxiety sensitivity (AS). The PFI will focus on feedback about smoking behavior, AS, and adaptive coping strategies.
The purpose of the study is to explore how feedback of cellular DNA (Deoxyribonucleic Acid) damage, as a marker of exposure to the genotoxic agents of tobacco smoke, promotes cessation.
This is a three-staged study to develop and evaluate a monitoring instrument and associated intervention, as follows: Stage 1 - Develop and determine the reliability, validity, and sensitivity to change of a brief Multidimensional Monitoring Instrument (MMI) for clients in outpatient substance abuse treatment (SAT). Stage 2 - Develop a Monitoring and Feedback Intervention (MFI) that uses the MMI. As part of this process, create a manual, training materials, and competence and adherence measures, and conduct a feasibility study within an outpatient SAT unit to refine the intervention and associated materials and measures. Stage 3 - Conduct a randomized clinical trial (RCT) to determine the preliminary efficacy of the MFI compared to treatment as usual (TAU) for clients in outpatient SAT. In this pilot study, it is hypothesized that the MFI will positively impact the treatment process, and short-term, during treatment, outcomes.
The purpose of this research project is to test the effects of exposure of different forms of tactile speech feedback on overt stuttering frequency.
The purpose of this clinical trial was to test the hypothesis that clients of clinicians who were scheduled to receive weekly feedback on their clients' progress would improve faster than clients of clinicians who were not scheduled to receive weekly feedback.
The purpose of the study is to determine if a semi-automated quality improvement system that provides addiction counselors with feedback on their average treatment satisfaction and therapeutic alliance (as rated by patients currently in treatment) is superior to no feedback in 32 community-based outpatient addiction treatment clinics.
The purpose of this study is to test whether multi-source feedback, including self-assessment and tailored coaching, improves resident communication skills and professionalism. We hypothesize that residents who are assigned to receive multi-source feedback, in addition to receiving standard feedback, will improve significantly more than residents receiving standard feedback alone, as measured by parent and nurse ratings of specific behaviors over time.
This study aims to assess the impact of social influence on direct neural recordings in human patients undergoing surgical treatment of epilepsy. 24 patients recruited from the Epilepsy Center at Dartmouth Health Medical Center (DHMC) will undergo electrode implantation throughout the brain to localize epileptogenic zones. Patients will be asked to rate their provider's warmth, competence, and other, similar traits associated with care-competency. They will then complete the picture-induced fear and math portions of the multimodal negative affect task (MNAT) during which iEEG is recorded.
This US multicenter, prospective cohort study aims to evaluate how MSCopilot can be seamlessly integrated into the current care pathway and identify potential optimizations to enhance its impact on both MS patients and clinicians, facilitating broader implementation. Specifically, the study will assess: * The overall integration of MSCopilot into routine clinical practice, * Patients' ability to use MSCopilot at home without supervision, * The need for patient support when using MSCopilot at home, * User behavior based on usage analytics data from the MSCopilot mobile app and dashboard, * Patient adherence to MSCopilot use in routine clinical practice, * The adequacy of the onboarding/training process for HCPs, * The effectiveness of HCPs onboarding/training in ensuring successful patient onboarding, * The variances in user behavior and adherence to MSCopilot use according to socio-demographic factors and EDSS scores
The purpose of the research is to assess the impact of a natural language processing + artificial intelligence (NLP+AI)-based risk communication feedback system to improve quality of risk communication of key tradeoffs during prostate cancer consultations among physicians and to improve patient decision making. In this cluster randomized trial, an evaluable 220 patients with newly diagnosed clinically localized prostate cancer will be cluster randomized within an evaluable 22 physicians to: 1. a control arm, in which patients will receive standard of care treatment consultations along with AUA-endorsed educational materials on treatment risks and benefits (for patients) and on SDM (for physicians) or 2. an experimental arm, in which patients and participating physicians will receive NLP+AI-based feedback on what was said about key tradeoffs within approximately 72 hours of the consultation to assist with decision making. Physicians will additionally be provided with grading of their risk communication for each visit based on an a priori defined framework for quality of risk communication and recommendations for improvement. In both study arms, there will be an audio-recorded follow-up phone or video call between the physician and patient to allow for further discussion of risk and clarifying any areas of ambiguity, which will be qualitatively analyzed to see if areas of poor communication were rectified. After the follow-up phone call, patients and participating physicians will be asked to complete a very brief survey about their experience. The study plans to test whether receiving NLP+AI-based feedback improves decisional conflict, shared decision making, and appropriateness of treatment choice over the standard of care in patients undergoing treatment consultations for prostate cancer. Study staff will also test whether providing feedback and grading of risk communication to physicians affects quality of physician risk communication, since providing feedback will promote more accountability for the quality of information provided to patients. The study will also analyze data from the control arm of the randomized controlled trial to understand variation in risk communication of key tradeoffs in relevant subgroups of tumor risk (low-, intermediate-, and high-risk), provider specialty (Urology, Radiation Oncology, Medical Oncology), and patient sociodemographics.
Randomized controlled trial involving 40 pediatric primary care clinicians with high rates of diagnosing and treating middle ear infections. Ten enrolled clinicians will be randomly assigned to each of 4 arms for a three-month trial: 1) personalized education and feedback about proper ear infection diagnosis; 2) use of a digital otoscope; 3) both education and feedback plus use of a digital otoscope; 4) control (no intervention).
The goal of this research is to develop a new breathing feature on the meditation app, Equa, to help young adults who are distressed, understand their physiological responses and mindfulness skill development during meditation. Our main aims are to build an algorithm that can use physiologic signals to: * Give feedback about how participant physiology is changing during guided lessons on the meditation app, Equa * Measure how much participant mindfulness skills are improving Participants will: * Complete a survey about demographics, their thoughts and feelings before and after the mindfulness meditation program * Complete 14 smartphone guided mindfulness meditation training units while physiological measures are being recorded * Complete a few brief questionnaires before and after mindfulness practices to understand potential changes in their mindfulness skills
Self-monitoring (of weight, intake, and activity) is a core component in evidence-based lifestyle interventions for obesity. Research has shown that interventionist feedback increases adherence to self-monitoring and improves weight loss outcomes; however, little empirical evidence exists on how this feedback should be provided. This research study aims to optimize the provision of self-monitoring feedback.
The study seeks to assess the impact of e-mailing specific, targeted, practice-pattern based information ("precision feedback") on provider engagement with a dashboard for a quality process measure (showing stent omission after pre-stented ureteroscopy), compared with generic information ("one size fits most" feedback).
Recent research in motor control shows that people learn new movements best when they receive feedback external to the body. Traditional ultrasound speech therapy works well for many children, but involves teaching children to focus on their internal tongue movements. The goal of the study is to test whether ultrasound biofeedback delivered without showing children a display of their tongue movements will be effective as a treatment for residual speech sound disorders in children. We focus on children who have trouble producing the sound "r" as in "rabbit". The first aim is to develop a fast reliable system to track movements of different parts of the tongue using ultrasound and to identify which combinations of movements will produce a good "r" and which do not. The second aim is to develop a motivational game in which children receive feedback on the success of their tongue movements by what happens to an animated character on a screen. This developed version of ultrasound feedback therapy will be compared to the traditional version of ultrasound feedback therapy to determine how the two approaches can best be utilized in the clinic.
The study will explore the use of a haptic device for sensory substitution in individuals with a movement disorder that has caused loss of plantar sensation. The haptic device consists of two components. The first element is a flexible insole with embedded pressure-sensing elements that transmit the spatial patterns of applied foot pressure over time. The second element is a haptic receiver with embedded actuators that vibrate or heat up in proportion to the transmitted pressure patterns, thus substituting the patient's lost plantar sensation.
As part of UCLA Health's commitment to developing an integrated health system built on a foundation of physician-led, team-based primary care, the Department of Medicine (DOM) implemented a performance-based incentive plan called the Primary Care Clinical Excellence (PCCE) Incentive Plan. The UCLA Health DOM Quality team is leading the implementation and evaluation of this incentive plan across the UCLA Health primary care network, with the primary goal to immediately produce improvements in the quality of primary care. In order to rigorously measure the most efficacious ways to frame and communicate information about the quality improvement (QI) program, the DOM Quality team has partnered with the UCLA Anderson School of Management. Understanding the factors that motivate physicians to deliver high quality primary care will provide pivotal insights into the successful implementation of performance based programs nationwide.
The study team are proposing to conduct a randomized controlled trial to determine the effectiveness of focused feedback vs standard feedback and self-chosen vs assigned goals on driving behaviors targeted by behavior-based insurance apps: hard braking, fast acceleration, handheld phone use, and speeding. The interventions arms will receive feedback on their driving behaviors, tips for safe driving, and a UBI-like financial incentive. The Penn research team will use Meta advertisements to recruit for the study and determine eligibility via an online survey. Those who enroll will undergo a 6-week run-in period during which their driving trips will be monitored by a mobile app. Individuals with a sufficient number of trips during this period will be randomly assigned to one of four arms for the intervention period. Target enrollment is 1,300 participants (325 per trial arm). The power analysis assumed an attrition rate of 20% over the course of the study.
The purpose of this study is to compare two interventions currently used to improve gait and lower limb function in individuals with chronic stroke (i.e., high-intensity gait training and high-intensity gait training with functional electrical stimulation (FES)) with novel interventions based on the coordinated activity of multiple muscles, known as muscle synergies. To this end, the researchers will recruit chronic stroke patients to participate in training protocols according to the currently used rehabilitation programs as well as novel rehabilitation programs that provide real time feedback of muscle synergies using multichannel FES and visual feedback.
We aim to investigate here whether we can develop a reinforcement learning game which provides game-based feedback to encourage positive actions (behaviors) both inside and outside of the game. Does providing positive reward when participants make decisions which are associated with value-based actions (like those in BA) result in different game decisions? We propose that it will increase positive actions in the game. And, secondly, how does it affect short-term behavior (in one week)? We propose that it will increase pro-health activities and may reduce depressive symptoms.
The purpose of the study is to use altered auditory vocal feedback to increase fluency in people who stutter and to examine changes in this effect over the course of a one month period occurring outside the laboratory setting.
Exercise is very important for living healthier and longer lives. For people with obesity and osteoarthritis, exercise is even more important because it can help them feel less pain in their joints. Also, the more intense the exercise is, the larger the health benefits will be. The most common ways to exercise are running and riding a stationary bicycle. However, these two types of exercise can cause problems for people with obesity and osteoarthritis. Fast running creates large loads in the knees because of the impact of the foot on the ground. On the other hand, studies in cycling show limited improvement in pain because cycling does not allow the feet to move freely, which is important for reducing pain in people with osteoarthritis. This study introduces a new way to exercise using a hip flexion feedback system (HFFS). The subjects will exercise by increasing how much they lift their knees while walking on treadmill. The exercise will also involve controlling the impact of the feet on the treadmill. The HFFS monitors the subject's heart rate during the exercise using a standard heart rate monitor. A TV placed in front of the treadmill shows how high individuals need to lift their knees. How much participants need to lift their knees is calculated by the HFFS based on real-time heart rate readings. Therefore, the HFFS can help people stay at a specific exercise intensity by controlling how high it tells them lift their knees during the exercise. This study will have participants with osteoarthritis and obesity in two groups. One group will exercise using the HFFS. Another group will not exercise. The exercise group will do a 12-week high intensity exercise program. Our first goal is to determine how much fitness, pain, and the ability to move improve due to the exercise program. With this study we are looking to introduce a better and safer way to exercise for people with osteoarthritis and obesity. The results of this study will also allow for further development of home-based exercise and telemedicine.