We want to learn more about patients' experiences with hospital care at home compared to care in the hospital building. To do this, we will ask patients and families to complete a short survey and then connect their answers with existing medical records. This will help us understand the costs, challenges, and benefits of different types of hospital care.

The purpose of this study is to determine the effect of sampling location on drug transporter levels in the healthy and diabetic placenta.

We are administering a national survey to understand factors that shape US adults' views about the legitimacy of police.

The goal of this study is to learn more about relationships, sexuality, family, work, and finances. This new information will help us understand factors that contribute to health among diverse adult populations including people who identify as straight or LGBT, as well as different races and ethnicities.

This study will assess the usability and acceptability of a chatbot. The chatbot is being developed to improve human papillomavirus vaccine communication among nurses, primarily with the use of motivational interviewing.

The purpose of this study is to learn how common over-the-counter nasal rinse products change the level of nitric oxide inside the nose. Nitric oxide is a natural gas our bodies make, and it may tell us useful information about how the nose works. By measuring nitric oxide before and after using these products, we hope to better understand how they affect the nose.

The purpose of this study is to learn from rheumatology providers about their perspectives regarding lifestyle interventions in routine rheumatology care

We examine how international election monitors, and responses from incumbent political leaders, shape how US political elites form beliefs about foreign elections.

To assess the validity and reliability of the Fuel U Questionnaire for college students, which collects information on cooking and eating behaviors.

This study aims to evaluate the feasibility and accuracy of using an AI grading tool to score medical student narrative exam responses and to compare its performance with faculty grading using a standard rubric. It will also assess student and faculty perceptions of the accuracy, fairness, and acceptability of AI grading before and after exposure to AI-generated feedback. Through these analyses, the study seeks to determine how well AI aligns with human evaluators, identify the types of questions it grades most and least accurately, and understand the factors that shape willingness to use AI in assessment. The findings will help inform whether and how AI-assisted grading could be integrated into medical education.