0 Item(s)
2024 Thranhardt Lecture Series (AM2024-TL)
Keyword(s)
TL, #AM2024, Annual Meeting, Thranhardt,
Learning Objectives:
- Explain when the rate of CVA correction becomes insignificant
- Identify another study that showed somewhat similar results
- Articulate how this might affect conversations with families of CRO patients when making discharge decisions
- Predict Response options to each item of the PLUS-M 12-item short form for 4 patient cohorts
- Describe differences in predicted response based on the responses of the 4 patient cohorts
- Apply the PLUS-M maps towards setting patient goals and contextualizing changes in PLUS-M T-score
Credit Information
1.25 CEUs For Certified Orthotists, Prosthetists
Author(s)
Moderators: Kristin Carnahan, CPO, Sally Kenworthy, MPO, CPO
Description
Setting Expectations for Cranial Remolding Orthosis Treatment Based on Changing Rates of Cranial Vault Asymmetry
- Jennifer A. Richards, MA, CPO (Presenter)
- Claire Vallery, CO, Alyssa Petz, CO, Chelsea Richards, CO, Matheos Yosef, PhD, Chris Frank, MD, PhD, Shokoufeh Khalatbari, MS (Authors)
Response Probabilities of PLUS-M Scores for Individuals with Lower Limb Amputation
- Bretta L. Fylstra, PhD (Presenter)
- Sophia Saenz, Brian J. Hafner, PhD, Shane Wunderman, PhD, CP (Authors)
Improving mobility is a primary goal of rehabilitation after lower limb amputation. Increased mobility is associated with many aspects of well-being, including quality of life and satisfaction. The Prosthetic Limb Users Survey – Mobility (PLUS-M) is a self-report survey to measure prosthetic mobility. PLUS-M was developed using item response theory (IRT), similar to instruments from the Patient-Reported Outcomes Measurement Information System (PROMIS). Previous research has expanded T-score interpretation for various PROMIS measures through response probabilities. This study aims to determine the response probabilities of PLUS-M using a similar approach. Results from this study will help clinicians and patients contextualize the meaning behind changes in PLUS-M T-scores and establish expectations for individual item responses relative to a given T-score.