5 Clinical Trials for Various Conditions
The purpose of this exploratory study is to examine factors associated with frequency and type of internet and mobile technology use among illegal drug users, specifically use of internet and text-messaging to obtain health care information and engage in health care utilization, specifically human immunodeficiency virus (HIV) prevention and treatment services. We will target high drug activity neighborhoods in New York City and enroll participants recruited through targeted street outreach. All participants (n=336) will undergo an audio computer-assisted self-interview (ACASI) that will assess sociodemographics, health care access and utilization, sex/drug use behavior, health status, and characteristics of general and health-related internet/mobile technology use including factors that promote or hinder use. Participants identified as using the internet ≥1/month (n=151) will return for a 4-week ACASI to report on use of the pilot website (which will largely display information currently available in the community in print/ pamphlet/ video form).
The goal of this study is to validate the TAPS-ESP as a screen and assessment that can be used in primary care for the screening and treatment of substance use.
This protocol has three purposes: (1) to evaluate subjects for inclusion or exclusion from other NIAAA protocols; (2) to provide a common set of descriptive information that will be available on all NIAAA research subjects; (3) to allow NIAAA medical and nursing staff to treat alcoholic patients for acute alcohol intoxication or alcohol withdrawal before requiring patients to consent to evaluation for participation in research studies. Information collected will include such items as psychiatric diagnoses, presence or absence of brain, liver or other organ damage, history of the amount of past alcohol consumption, other substance use and family history of alcoholism. This information will allow investigators to determine for which, if any, NIAAA research studies a subject is eligible. In order to avoid requiring intoxicated subjects to consent for procedures such as HIV testing, psychiatric interviews, and Magnetic Resonance Imaging (MRI) of the brain we will obtain consent from all alcoholic subjects in two phases, using two separate consent forms. The first consent form will express the subject's desire to be admitted to the NIAAA inpatient unit for the purpose of treatment for alcoholism and will authorize only medical evaluation and treatment for alcoholism and associated problems. After an alcoholic subject has been admitted to the inpatient unit and is judged to be no longer intoxicated or suffering from acute alcohol withdrawal he or she will be presented with the second consent which will describe the evaluation for participation in other NIAAA research studies. Non-alcoholic, healthy controls will sign only one consent form describing the data to be collected and evaluation for participation in other NIAAA research studies.
Alcohol abuse is the leading cause of death and serious injury among college students, and students also experience significant harms from other types of substance misuse and risk behaviors. The proposed project is a randomized controlled trials that will test the protective effects of Letting Go and Staying Connected, a handbook for parents of students who are transitioning for the first time from home to college, the time when students are at greatest risk. The handbook encourages parent skill development and good management of their student's new independence, providing a clear framework to guide them in parenting at this stage. Targeted outcomes include reduction of substance use and risk behaviors. The primary hypothesis is that students who are in one of the two handbook conditions with their parents will report lower substance use and risk behaviors in the two years after college entry.
The investigators propose to develop an open-source, publicly available machine learning model that health systems could download and apply to their electronic health record data marts to screen for substance misuse in their patients. The investigators hypothesize that the natural language processing algorithm can provide a standardized and interoperable approach for an automated daily screen on all hospitalized patients and provide better implementation fidelity for screening, brief intervention, and referral to treatment.