Pilot Study of a Novel Maintenance-Free Remote Wear Time Monitor for Cranial Remolding Orthoses (ICPSR 310131)
The study team has developed a novel Remote Temperature Monitoring (RTM) sensor which automatically uploads temperature data to the Cloud and integrates with both a clinician’s dashboard and an app on the caregiver’s cell phone to allow for real-time monitoring of CRO use. This is the first study to attempt to validate the RTM sensor in a clinical setting.
Finding, Testing and Treating High-Risk Probationers and Parolees with HIV (Urban Health Studies: UHS II), California, 2012-2013 (ICPSR 39801)
The Seek, Test, Treat and Retain (STTR) Collaboration Project involved over twenty studies in the fields of HIV and drug abuse. These studies were independently developed, but were chosen for the collaboration because they focused on one or more steps of the HIV treatment cascade: Seek, Test, Treat and Retain. These studies were grouped into Criminal Justice-related studies and Vulnerable Population-related studies. The data collected by these studies included twelve common domains (e.g. demographic characteristics, mental health) in each of which a shared questionnaire or instrument was taken up by the studies and adapted to fit the study. This repository contains the collected data and documentation from the STTR collaboration.
This study in particular is part of the Urban Health Studies project, specifically assessing treatment outcomes of high-risk probationers and parolees with HIV in California from 2012 to 2013.
Proyecto PACTo: Enhanced HIV Care Access and Retention for Drug Users in San Juan, Puerto Rico, 2013-2014 (ICPSR 39791)
Validating and Generalizing Personalized Treatment Rules by Leveraging Different Data Sources [Methods Study], United States, 2019-2022 (ICPSR 39735)
Researchers can use data on patient traits such as age, health problems, and treatment preferences, to create personalized treatment rules, or PTRs. PTRs provide doctors with guidance on how to treat patients' health problems based on their traits. But PTRs based on a single data source may not apply to all patients. For example, if researchers create a PTR using data from older people with heart failure, it may not apply to younger people with heart failure.
To avoid this problem, researchers can create PTRs by combining data from many sources. PTRs based on many data sources can help guide treatment for patients with different traits.
In this study, the research team created and tested a new method for creating PTRs using data from multiple sources.
Natural Language Processing (NLP) for Medication Adherence: Complex Semantics and Negation [Methods Study], United States, 2015-2022 (ICPSR 39736)
Clinical notes in electronic health records, or EHRs, can help researchers study treatments. For example, EHR notes may contain information about whether patients take their medicines as directed. But it takes researchers a lot of time to find this information.
Natural language processing, or NLP, methods can help researchers find information in EHR notes. With NLP, computer programs read and identify written language to make it easier to sort and study. But current NLP methods don't work well to find and label text about medicine use.
In this study, the research team created and tested a new NLP method to find and label EHR notes on patients' medicine use.
Criminal Justice Drug Abuse Treatment Studies (CJ-DATS): A Comparison of Two Reentry Strategies for Drug Abusing Juvenile Offenders, 2003-2009 [United States] (ICPSR 30143)
ARV Effects on HIV Epidemiology and Behaviors in Rakai, Uganda (ICPSR 35921)
Criminal Justice Drug Abuse Treatment Studies (CJ-DATS): Performance Indicators for Corrections (PIC), 2002-2006 [United States] (ICPSR 27942)
In 2002, the National Institute on Drug Abuse (NIDA) funded the Criminal Justice Drug Abuse Treatment Studies (CJ-DATS) cooperative agreement. The Institute of Behavioral Research at Texas Christian University (TCU) was one of nine National Research Centers selected to study current drug treatment practices and outcomes in correctional settings and to examine strategies for improving treatment services for drug-involved offenders.
The specific aims of the PIC study were to:
- Cross sectionally test and adapt the TCU CJ-CEST, BOP, and NDRI CAI assessments for use in multiple correctional settings;
- To examine agency and program records of client progress relevant to treatment process; and to
- Revise the assessments as necessary for use in longitudinal assessment protocols and CJ Management Information Systems (MIS).
During the first data collection period, Wave 1, a total of 3,266 inmates were surveyed from research centers based out of Texas Christian University, the University of Delaware, the University of Kentucky, University of California, Los Angeles (UCLA), and the National Development and Research Institute (NDRI). After psychometrics were run and the forms revised slightly, a second administration took place but this time only at two centers (TCU and Delaware). During Wave 2 a total of 1,421 clients participated in the survey.