Catherine C. Quatman‐Yates

Community Paramedicine Grab Bar Installations Decreased Emergency Calls in Older Adults With Previous Fall History

Elizabeth Sheridan, Jessica M. Wiseman, Catherine C. Quatman‐Yates, Carmen E. Quatman

BACKGROUND: Home modifications are an evidence-based fall prevention strategy, though critical barriers often limit their implementation by individuals at risk for falls. This study assessed the impact of community paramedicine-installed grab bars on emergency medical service (EMS) activations among community-dwelling older adults. …

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Exploring Current Procedural Terminology Codes for Physical Therapist Evaluations in the United States: Results of a Feasibility Study

Kat K. Rethman, Cody James Mansfield, J A Stephens, Chelsea C. Lahman et autres

BACKGROUND AND PURPOSE: Physical therapy evaluation Current Procedural Terminology (CPT) codes have been in practice for 8 years in the United States with limited understanding of their accuracy, reliability, and utilization. This creates challenges for physical therapists (PT) to justify their services …

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Virtual reality-based eye tracking throughout typical concussion recovery

Gregory C. Edwards, Nick Fogt, James A. Oñate, Rebecca A. Bliss et autres

Objective: The purpose of this study was to determine the effects of concussion on visual and oculomotor function using a virtual reality-based eye tracking system throughout recovery. Design: A prospective, longitudinal cohort design assessed at the subacute, return-to-activity, and 6-month timepoints was …

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Physiological outcomes from mind-body resiliency programs in healthcare workers: A scoping review

Jamie Kronenberg, Justin J. Merrigan, Catherine C. Quatman‐Yates, Angela M. Emerson et autres

Mind-body resiliency programs have improved perceived resiliency and stress in healthcare workers but less is known about physiological impacts. This scoping review aims to evaluate current methodologies and physiological outcomes of different mind-body programs in healthcare settings. The initial literature search revealed …

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Preliminary feasibility of mindfulness in motion to improve physiological biomarkers of wellbeing in healthcare providers during dayshift hours

Justin J. Merrigan, Maryanna D. Klatt, Catherine C. Quatman‐Yates, Angela M. Emerson et autres

Mindfulness in Motion (MIM) can improve stress, resiliency, and burnout in healthcare providers but physiological outcomes are unknown. Thus, this study evaluated the effects of MIM on respiration rate (RR), heart rate (HR), and heart rate variability (HRV). Nineteen healthcare providers wore …

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Evaluating User Interactions and Adoption Patterns of Generative AI in Health Care Occupations Using Claude: Cross-Sectional Study

Gabriel Alain, James P. Crick, Ella Snead, Catherine C. Quatman‐Yates et autres

Background: Generative artificial intelligence (GenAI) systems like Anthropic's Claude and OpenAI's ChatGPT are rapidly being adopted in various sectors, including health care, offering potential benefits for clinical support, administrative efficiency, and patient information access. However, real-world adoption patterns and the extent to …

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Surgical Timing and Postoperative Outcomes in Distal Femur Fractures: Does Early Intervention Matter?

Naoko Onizuka, Gabriel Alain, Samuel G. Farmer, Catherine C. Quatman‐Yates et autres

Introduction Distal femur fractures are the second most common femoral fragility fractures in older adults, with postoperative mortality rates similar to or exceeding those of hip fractures. While early surgery has been shown to improve outcomes in hip fracture patients, its impact …

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Adoption Patterns of Generative Artificial Intelligence in Healthcare Occupations: Cross-Sectional Study of User Interactions with Claude (Preprint)

Gabriel Alain, James P. Crick, Ella Snead, Catherine C. Quatman‐Yates et autres

BACKGROUND Generative artificial intelligence (GenAI) systems developed by organizations such as Anthropic (Claude), OpenAI (ChatGPT), Google (Gemini), Microsoft (Copilot), and Meta (Llama) are being rapidly integrated across various sectors, including healthcare. However, the extent to which GenAI is utilized for healthcare-related tasks …

Editorial: Patient Experience Data and Feedback for Quality Improvement and Learning Health Systems

Tiago S. Jesus, Gagan Gurung, Catherine C. Quatman‐Yates

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Editorial: Patient experience data and feedback for quality improvement and learning health systems

Tiago S. Jesus, Gagan Gurung, Catherine C. Quatman‐Yates

us, nz (code pays fourni par la source)

Test–Retest Reliability and Reliable Change Estimates for Sensorimotor Concussion Assessments in Healthy Young Adults

Gregory C. Edwards, A Bruggeman, Nick Fogt, James A. Oñate et autres

CONTEXT: Sensorimotor impairments are common sequela following concussion, but recovery following a concussion is often determined through examiner scored clinical testing. There are emerging technologies that provide objective methods to determine physiological impairment after concussion, but the psychometrics of these tools are …

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Exploring the influence of hospital context on acute care physical therapy fall prevention practice: A qualitative study

James P. Crick, Lisa Juckett, Marka Jean Salsberry, Carmen E. Quatman et autres

BACKGROUND: Falls are a significant concern for hospitals and patients. The risk of falls is particularly heightened around the period of hospitalization. Physical therapy (PT) is commonly consulted for hospitalized patients at-risk for falls, yet it is unknown how the hospital context …

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