Theresa Sukal Moulton

Country flagUnited States

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (13)

Year:

2025

Year:

2025

Year:

2025

Aim To describe the development of an observational measure of spontaneous independent joint motion in infants with spastic cerebral palsy (CP), the Baby Observational Selective Control AppRaisal (BabyOSCAR), and to test its convergent validity and reliability. Method A retrospective sample of 75 infants (45 with spastic CP and 30 without CP) at 3 months of age were scored with the BabyOSCAR and compared with diagnosis of spastic CP, limbs affected, and Gross Motor Function Classification level at 2 years of age or later for convergent validity using t ‐tests, Kruskal–Wallis tests, and Spearman's rank correlation coefficients. BabyOSCAR interrater and test–retest reliability was also evaluated using intraclass correlation coefficients. Results Infants with spastic CP had significantly lower BabyOSCAR scores than children without CP ( p < 0.001) and scores were significantly correlated with Gross Motor Function Classification System levels ( p < 0.001). Children with unilateral CP had significantly higher asymmetry scores than children with bilateral CP or no CP ( p < 0.01). Interrater and test–retest reliabilities were good to excellent. Interpretation Reductions in independent joint control measured in infancy are a hallmark of eventual diagnosis of spastic CP, and influence gross motor function later in childhood (with or without a diagnosis of CP).

Year:

2024

Aim To assess the predictive capabilities of the Baby Observational Selective Control AppRaisal (BabyOSCAR) tool, administered at 3 months corrected age, in determining spastic cerebral palsy (CP) outcome, functional abilities, and body topography at 2 years of age or later. Method Independent joint motions were measured at age 10 to 16 weeks from video recordings of spontaneous movement using BabyOSCAR in a sample of 75 infants. All included infants had known 2‐year outcomes (45 with spastic CP and 30 without CP) including Gross Motor Functional Classification System (GMFCS) levels and CP body distribution. Receiver operating characteristic curves and cut points indicating greatest sensitivity and specificity were generated for predictive performance. Results Total BabyOSCAR score was a strong predictor of future outcome of spastic CP (cut score of 22.5, sensitivity = 98%, specificity = 100%, area under the curve = 0.99), and was able to distinguish children classified in GMFCS levels I and II from those in III to V (cut score of 13.5, sensitivity = 92%, specificity = 89%, area under the curve = 0.94). Having an (absolute) asymmetry score on the BabyOSCAR of more than 5 was a predictor of having unilateral CP at age 2 years (sensitivity = 56%, specificity = 100%, area under the curve = 0.86). Interpretation BabyOSCAR scores are predictors of diagnosis, body distribution, and future gross motor function in infants with spastic CP at 2 years of age or later.

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2020

Collaborators (10)

Marybeth Grant-Beuttler

Associate Professor

Oregon Institute of Technology

UNITED STATES
View details

Colleen Peyton

-

UNITED STATES
View details

Roberto López-Rosado

Northwestern University

UNITED STATES
View details

Kristin Krosschell

Professor

Northwestern University

UNITED STATES
View details

Noelle Moreau

Professor

LSU Health Shreveport

UNITED STATES
View details

Barbara Sargent

Associate Professor of Clinical Physical Therapy

University of Southern California

UNITED STATES
View details

Kathleen Friel

Associate Professor

Weill Cornell Medicine

UNITED STATES
View details

Veronica Schiariti

University of Victoria

CANADA
View details

Michael Msall

Professor

University of Chicago

UNITED STATES
View details

Angela Shierk

Assistant Professor

University of Texas Southwestern Medical Center

UNITED STATES
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.