Medicine and Health Sciences Commons^™

Three-Dimensional Motion Analysis For Occupational Therapy Upper Extremity Assessment And Rehabilitation: A Scoping Review, Stephen W. Hill, Samantha Mong, Quyen Vo

The Open Journal of Occupational Therapy

Background: Three-dimensional (3D) human motion analysis provides objective, quantitative, and reliable kinematic data that are valuable in rehabilitation. Clinicians, including occupational therapists and other specialists, can apply this technology to quantify patients’ upper extremity (UE) motion during functional tasks. A better comprehension of altered body mechanics serves to guide clinical reasoning, develop evidence-based interventions, and monitor patients’ progress through follow-up. However, the scientific literature has yet to emphasize the practicality of using 3D motion analysis as a clinical measurement tool.

Method: This scoping review appraised 20 articles that used 3D motion analysis to quantify UE movements for individuals …

Successful Treatment Of Radiation-Induced Colitis And Enteritis With Hyperbaric Oxygen Therapy, Mark D. Ringle, Jeffrey S. Cooper

Graduate Medical Education Research Journal

Introduction

Previously irradiated tissue is characterized by changes including decreased vascularity, impaired cellular proliferation, and local hypoxia consistent with fibroblastic atrophy which can persist long after radiation therapy. Hyperbaric oxygen therapy has been shown to be beneficial in the treatment of complications arising from these late effects of radiation on normal tissue through enhancing fibroblast proliferation, collagen maturation, stem cell recruitment, and angiogenesis.

Methods

We report on three patients with debilitating radiation enterocolitis causing issues including recurrent bowel obstruction, anorexia requiring total parenteral nutrition, pain, diarrhea, fecal incontinence, dehydration, and malnutrition.

Results

In all three cases marked improvement was the …

Electrocardiogram-Based Machine Learning Emulator Model For Predicting Novel Echocardiography-Derived Phenogroups For Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study, Heenaben B. Patel, Naveena Yanamala, Brijesh Patel, Sameer Raina, Peter D. Farjo, Srinidhi Sunkara, Márton Tokodi, Nobuyuki Kagiyama, Grace Casaclang-Verzosa, Partho P. Sengupta

Journal of Patient-Centered Research and Reviews

Purpose: Electrocardiography (ECG)-derived machine learning models can predict echocardiography (echo)-derived indices of systolic or diastolic function. However, systolic and diastolic dysfunction frequently coexists, which necessitates an integrated assessment for optimal risk-stratification. We explored an ECG-derived model that emulates an echo-derived model that combines multiple parameters for identifying patient phenogroups at risk for major adverse cardiac events (MACE).

Methods: In this substudy of a prospective, multicenter study, patients from 3 institutions (n = 727) formed an internal cohort, and the fourth institution was reserved as an external test set (n = 518). A previously validated patient similarity analysis model was used …

Monitoring And Evaluation Of Patient Engagement In Health Product Research And Development: Co-Creating A Framework For Community Advisory Boards, Sevgi E. Fruytier, Lidewij Eva Vat, Rob Camp, François Houÿez, Hilde De Keyser, Denise Dunne, Davide Marchi, Laura Mckeaveney, Richard H. Pitt, Carina A.C.M. Pittens, Meagan F. Vaughn, Elena Zhuravleva, Tjerk Jan Schuitmaker-Warnaar

Journal of Patient-Centered Research and Reviews

Purpose: While patient engagement is becoming more customary in developing health products, its monitoring and evaluation to understand processes and enhance impact are challenging. This article describes a patient engagement monitoring and evaluation (PEME) framework, co-created and tailored to the context of community advisory boards (CABs) for rare diseases in Europe. It can be used to stimulate learning and evaluate impacts of engagement activities.

Methods: A participatory approach was used in which data collection and analysis were iterative. The process was based on the principles of interactive learning and action and guided by the PEME framework. Data were collected via …