Literature DB >> 33065124

Rehabilitation Treatment Specification System: Methodology to Identify and Describe Unique Targets and Ingredients.

Jarrad H Van Stan1, John Whyte2, Joseph R Duffy3, Julie M Barkmeier-Kraemer4, Patricia B Doyle5, Shirley Gherson6, Lisa Kelchner7, Jason Muise8, Brian Petty9, Nelson Roy4, Joseph Stemple10, Susan Thibeault11, Carol Jorgensen Tolejano11.   

Abstract

Although significant advances have been made in measuring the outcomes of rehabilitation interventions, comparably less progress has been made in measuring the treatment processes that lead to improved outcomes. A recently developed framework called the Rehabilitation Treatment Specification System (RTSS) has potential to identify which clinician actions (ie, ingredients) actively improve specific patient functions (ie, targets). However, the RTSS does not provide methodology for standardly identifying specific unique targets or ingredients. Without a method to evaluate the uniqueness of an individual target or ingredient, it is difficult to know whether variations in treatment descriptions are synonymous (ie, different words describing the same treatment) or meaningfully different (eg, different words describing different treatments or variations of the same treatment). A recent project used vocal rehabilitation ingredients and targets to create RTSS-based lists of unique overarching target and ingredient categories with underlying dimensions describing how individual ingredients and targets vary within those categories. The primary purpose of this article is to describe the challenges encountered during the project and the methodology developed to address those challenges. Because the methodology was based on the RTSS's broadly applicable framework, it can be used across all areas of rehabilitation regardless of the discipline (speech-language pathology, physical therapy, occupational therapy, psychology, etc) or impairment domain (language, cognition, ambulation, upper extremity training, etc). The resulting standard operationalized lists of targets and ingredients have high face and content validity. The lists may also facilitate implementation of the RTSS in research, education, interdisciplinary communication, and everyday treatment.
Copyright © 2020 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Health care; Methods; Outcome assessment; Rehabilitation; Therapeutics; Translational medical research

Year:  2020        PMID: 33065124     DOI: 10.1016/j.apmr.2020.09.383

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  5 in total

1.  Voice Therapy According to the Rehabilitation Treatment Specification System: Expert Consensus Ingredients and Targets.

Authors:  Jarrad H Van Stan; John Whyte; Joseph R Duffy; Julie Barkmeier-Kraemer; Patricia Doyle; Shirley Gherson; Lisa Kelchner; Jason Muise; Brian Petty; Nelson Roy; Joseph Stemple; Susan Thibeault; Carol Jorgensen Tolejano
Journal:  Am J Speech Lang Pathol       Date:  2021-08-31       Impact factor: 2.408

2.  Emerging Treatments for Disorders of Consciousness in Paediatric Age.

Authors:  Hassna Irzan; Marco Pozzi; Nino Chikhladze; Serghei Cebanu; Artashes Tadevosyan; Cornelia Calcii; Alexander Tsiskaridze; Andrew Melbourne; Sandra Strazzer; Marc Modat; Erika Molteni
Journal:  Brain Sci       Date:  2022-01-31

3.  Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation.

Authors:  Ping Zhao; Jin Xue; Xiaomei Xu; Lifei Wang; Dan Chen
Journal:  Comput Math Methods Med       Date:  2022-05-11       Impact factor: 2.809

4.  Mapping Meta-Therapy in Voice Interventions onto the Rehabilitation Treatment Specification System.

Authors:  Leah B Helou; Jackie L Gartner-Schmidt; Edie R Hapner; Sarah L Schneider; Jarrad H Van Stan
Journal:  Semin Speech Lang       Date:  2021-02-17       Impact factor: 1.761

5.  A Nonrandomized Trial for Student Teachers of an In-Person and Telepractice Global Voice Prevention and Therapy Model With Estill Voice Training Assessed by the VoiceEvalU8 App.

Authors:  Elizabeth U Grillo
Journal:  Am J Speech Lang Pathol       Date:  2021-02-01       Impact factor: 2.408

  5 in total

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