This research aims to (1) assess familiarity with DTx across different healthcare provider roles, (2) evaluate perceptions of DTx, and (3) determine the willingness to prescribe, recommend, or adopt DTx as a therapeutic option. Additionally, it seeks to (4) measure changes in perceptions before and after providing further information about the potential benefits and content of DTx.

Assess the clinical response to treatment with mirikizumab among patients with chronic inflammatory conditions of the pouch using standardized outcome assessments.

There is a movement toward addressing social risk factors as part of healthcare delivery, with similar efforts launched by the CF Foundation. However, current social screening tools do not capture the unique risks and needs of people with CF, have not been tailored to adults with CF vs caregivers of children with CF, and have not been adapted to multidisciplinary CF care delivery. Our work also showed <20% of those who report needs access help, and found barriers related to stigma, guilt, or fear. It is critical to develop a social screening instrument that is specific to adults and caregivers of children with CF, acceptable to them, and rigorously tested for reliability and validity. Using a community-engaged process, we will systematically address these knowledge gaps.

We will identify changes in the numbers, seriousness, and outcomes of breast cancers diagnosed during the COVID-19 pandemic, compared to before the pandemic.

The purpose of this study is to understand how the T32 Trainees Pre and Postdoctorals students manage their overall experience within the training program.

There are multiple devices that have been developed and approved to help treat heart failure symptoms, yet some patients who qualify for these devices are denied authorization by their insurance. We look to describe trends across the United States.

As machine learning is accepted as one of the most powerful tools to solve problems that involve a large amount of data, more and more application areas started to explore and adopt machine learning methods into their workflows. The first step of developing a machine learning model is to determine the target variable, i.e. what to predict. For instance, if a practitioner wants to develop a model to assist hiring decisions, he/she may choose a candidate's performance score as the prediction target to train the machine learning model. In practice, practitioners need to experiment and evaluate a large set of potential target variables until they reach a satisfactory one. We would like to automate the evaluation of target variables and recommend good ones to the users. The purpose of this study is to understand how different recommendation strategies influence the target selection process.

The purpose of this research study is to improve the understanding and satisfaction with confidential reporting of learning environment concerns for Pediatric Resident physicians. We will conduct a baseline needs assessment survey , followed by targeted education on a singular reporting system, covering report submission, procedural follow-up, and outcome communication. A follow-up survey will evaluate for change in the understanding of and satisfaction with the process. Through this intervention, the objective is to enhance clarity and satisfaction with the reporting process.

To evaluate the effect of mitapivat on albumin creatinine ratio (ACR) response in subjects with sickle cell disease (SCD) and nephropathy

The purpose of the study is to analyze if asking questions on polarizing topics reduces response quality The study will analyze the research question using an experiment. Respondents will be randomly assigned to one of two main conditions. The experimental group will receive uncomfortable or embarrassing true-or-false questions about their political party, depending on what party they identify with. The questions are factual but may be perceived as biased or polarizing. The control group will receive 3 true-or-false questions about Democrats and 3 true-or-false questions about Republicans. Later, the researcher will compare instances/rates of satisficing, affective polarization, sentiment codes, internal consistency, conformity, and truthfulness between the experimental and control groups.