Medically Underserved Populations

Cultural adaptations of psychological interventions for prevalent sleep disorders and sleep disturbances: A systematic review of randomized controlled trials in the United States.

Citation
Alcántara C, Cosenzo LG, McCullough E, Vogt T, Falzon AL, Ibarra IP. Cultural adaptations of psychological interventions for prevalent sleep disorders and sleep disturbances: A systematic review of randomized controlled trials in the United States. Sleep Med Rev. 2021 Apr:56:101455. doi:10.1016/j.smrv.2021.101455. Epub 2021 Feb 9. PMID:33735638.
Principal Investigator
Alcantara, Carmela
Project Name
Using eHealth to Expand Access to Cognitive Behavioral Therapy for Insomnia in Hispanic Primary Care Patients

A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients - Final Report

Citation
Held M., Thompson H. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients – Final Report. (Prepared by Rush University Medical Center under Grant No. R21 HS028511). Rockville, MD: Agency for Healthcare Research and Quality, 2024.
Principal Investigator
Held, Philip
Thompson, Hale M.
Project Name
A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients

Using eHealth to Expand Access to Cognitive Behavioral Therapy for Insomnia in Hispanic Primary Care Patients - Final Report

Citation
Alcantara C. Using eHealth to Expand Access to Cognitive Behavioral Therapy for Insomnia in Hispanic Primary Care Patients – Final Report. (Prepared by Columbia University under Grant No. R01 HS024274). Rockville, MD: Agency for Healthcare Research and Quality, 2024.
Principal Investigator
Alcantara, Carmela
Project Name
Using eHealth to Expand Access to Cognitive Behavioral Therapy for Insomnia in Hispanic Primary Care Patients

School-Based Tele-Physiatry Assistance for Rehabilitative and Therapeutic Services (STARS) for Children with Special Health Care Needs Living in Rural and Underserved Communities - Final Report

Citation
Marcin J. School-Based Tele-Physiatry Assistance for Rehabilitative and Therapeutic Services for Children with Special Health Care Needs Living in Rural and Underserved Communities – Final Report. (Prepared by University of California, Davis under Grant No. R01 HS025714). Rockville, MD: Agency for Healthcare Research and Quality, 2023.
Principal Investigator
Marcin, James
Project Name
School-Based Tele-Physiatry Assistance for Rehabilitative and Therapeutic Services for Children with Special Health Care Needs Living in Rural and Underserved Communities

A clinical classification framework for identifying persons with high social and medical needs: The COMPLEXedex-SDH.

Citation
Sullivan SS, Ledwin KM, Hewner S. A clinical classification framework for identifying persons with high social and medical needs: The COMPLEXedex-SDH. Nurs Outlook. 2023 Sep-Oct;71(5):102044. doi: 10.1016/j.outlook.2023.102044. Epub 2023 Sep 18. PMID: 37729813.
Principal Investigator
Hewner, Sharon
Project Name
Implementing Personalized Cross-Sector Transitional Care Management to Promote Care Continuity, Reduce Low-Value Utilization, and Reduce the Burden of Treatment for High-Need, High-Cost Patients

Expanding the evidence for cross-sector collaboration in implementation science: Creating a collaborative, cross-sector, interagency, multidisciplinary team to serve patients experiencing homelessness and medical complexity at hospital discharge.

Citation
Anderson AJ, Noyes K, Hewner S. Expanding the evidence for cross-sector collaboration in implementation science: Creating a collaborative, cross-sector, interagency, multidisciplinary team to serve patients experiencing homelessness and medical complexity at hospital discharge. Front Health Serv. 2023 Sep 8;3:1124054. doi: 10.3389/frhs.2023.1124054. PMID: 37744643; PMCID: PMC10515621.
Principal Investigator
Hewner, Sharon
Project Name
Implementing Personalized Cross-Sector Transitional Care Management to Promote Care Continuity, Reduce Low-Value Utilization, and Reduce the Burden of Treatment for High-Need, High-Cost Patients

AR-CPR: Refinement and Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care Chest Compression Feedback System

Description

This research will enhance an augmented reality headset used to provide real-time feedback on pediatric chest compressions. Researchers will evaluate the usability and user experience of the augmented reality cardiopulmonary resuscitation tool in an international multicenter randomized simulation study, with the aim of improving the quality of chest compressions and saving lives.

Grant Number
R21 HS029372
Principal Investigator(s)
Kleinman, Keith
Jeffers, Justin

Peer PLUS: A Client-Centered Digital Intervention for Addressing the Needs of Individuals with Substance Use Disorder

Description

This research will culminate in a randomized controlled trial of the Peer PLUS (People Leveraging Urgent Support) mobile app and companion web-based platform that supports communication between those with substance use disorder and peer recovery coaches to determine if it contributes to long-term recovery for these individuals.

Grant Number
R21 HS028880
Principal Investigator(s)
Toscos, Tammy R

Navigating infection control processes in a COVID-19 only safety-net hospital at the height of the pandemic.

Citation
Kaufman DR, Senathirajah Y, Cato K, Kushniruk A, Borycki E, Minshal S, Roblin P, Daniel P. Navigating infection control processes in a COVID-19 only safety-net hospital at the height of the pandemic. Stud Health Technol Inform. 2023 Jun 22;304:67-71. doi: 10.3233/SHTI230371. PMID: 37347571.
Principal Investigator
Kaufman, David R.
Senathirajah, Yalini
Project Name
Evaluating and Enhancing Health Information Technology for COVID-19 Response Workflow in a Specialized COVID-19 Hospital in a Medically Underserved Community

Identifying high need primary care patients using nursing knowledge and machine learning methods.

Citation
Hewner S, Smith E, Sullivan SS. CIC 2022: Identifying high need primary care patients using nursing knowledge and machine learning methods. Appl Clin Inform. 2023 Mar 7. doi: 10.1055/a-2048-7343. Epub ahead of print. PMID: 36882152.
Principal Investigator
Hewner, Sharon
Project Name
Implementing Personalized Cross-Sector Transitional Care Management to Promote Care Continuity, Reduce Low-Value Utilization, and Reduce the Burden of Treatment for High-Need, High-Cost Patients