Neurologic Disease

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

Parent, physician, and therapist experience of in-person, hybrid, and all-virtual models of physiatry care for children with special healthcare needs.

Citation
Haynes SC, Davidson L, Tancredi DJ, Burns RD, Garrison SL, Marcin JP. Parent, physician, and therapist experience of in-person, hybrid, and all-virtual models of physiatry care for children with special healthcare needs. Acad Pediatr. 2024 May 6:S1876-2859(24)00154-2. doi: 10.1016/j.acap.2024.04.011. Epub ahead of print. PMID: 38719092.
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

Examining the Clinical Workflow and Outcomes of Integrating Health Information Technology to Educate and Support Dementia Caregivers - Final Report

Citation
Ruggiano N. Examining the Clinical Workflow and Outcomes of Integrating Health Information Technology to Educate and Support Dementia Caregivers - Final Report. (Prepared by the University of Alabama in Tuscaloosa under Grant No. R21 HS026571). Rockville, MD: Agency for Healthcare Research and Quality, 2022.
Principal Investigator
Ruggiano, Nicole
Project Name
Examining the Clinical Workflow and Outcomes of Integrating Health Information Technology to Educate and Support Dementia Caregivers

Early identification of epilepsy surgery candidates: A multicenter, machine learning study.

Citation
Wissel BD, Greiner HM, Glauser TA, Pestian JP, Kemme AJ, Santel D, Ficker DM, Mangano FT, Szczesniak RD, Dexheimer JW. Early identification of epilepsy surgery candidates: A multicenter, machine learning study. Acta Neurol Scand. 2021 Jul;144(1):41-50. doi: 10.1111/ane.13418. Epub 2021 Mar 26. PMID: 33769560; PMCID: PMC8178229.
Principal Investigator
Dexheimer, Judith W.
Project Name
Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients

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

Description

This study examined parent and provider experiences and care costs for in-person, hybrid, and all-virtual pediatric physiatry models in rural and underserved communities, concluding that the hybrid model—where therapists and patients are onsite and the pediatric physiatrist is present via telehealth—offers a high-quality, acceptable, and cost-effective alternative.

Grant Number
R01 HS025714
Principal Investigator(s)
Marcin, James