Context: Goal Attainment Scaling (GAS) is a person-centered and collaborative approach, allowing to assess the effectiveness of an intervention on personally relevant goals. However, GAS is not a "scale" but a heterogeneous group of methodologies, including many variations and lack of consensus on high quality GAS.
Objective: The aim of this communication is to: 1. provide updated didactical information on GAS use in PRM practice and research; 2. increase awareness of GAS methodological challenges; 3. guide use of GAS as an integrated process of rehabilitation after goal setting and; 4. provide updated resources for self-directed learning and extensive supplemental material to increase knowledge and practical skills in GAS use.
Methods: Educational literature review about current GAS applications relevant to PRM fields.
Results: Practical advice is provided regarding clinical challenges in GAS: definition of 0 level, time-frame and means employed to attain the goal, dealing with unforeseen pattern of improvement, synthesizing the numerous significations of "SMART" goal acronym to guide best use of GAS, and thinking flexibility on the type of relevant goals that can be set. Challenges with GAS in rehabilitation research are presented in order to promote researcher's and reviewer's awareness on reliable use of GAS and encouraging best-use of GAS.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301855 | PMC |
http://dx.doi.org/10.2340/jrm.v55.6498 | DOI Listing |
Am J Sports Med
January 2025
Department of Orthopaedics, Rush University Medical Center, Rush University Medical College, Chicago, Illinois, USA.
Background: Critical analysis of studies with high level of evidence has relied on the significance set by the reported values. However, this strategy steers readers toward categorical interpretation of the data; therefore, a more comprehensive approach of data analysis is warranted. The continuous fragility index (CFI) allows for frailty interpretation of any given study's continuous outcome results.
View Article and Find Full Text PDFJ Orthop Surg Res
January 2025
Department of Human Anatomy, Graduate School, Inner Mongolia Medical University, Hohhot, 010010, Inner Mongolia, China.
Purpose: The study aimed to develop a deep learning model for rapid, automated measurement of full-spine X-rays in adolescents with Adolescent Idiopathic Scoliosis (AIS). A significant challenge in this field is the time-consuming nature of manual measurements and the inter-individual variability in these measurements. To address these challenges, we utilized RTMpose deep learning technology to automate the process.
View Article and Find Full Text PDFSci Rep
January 2025
College of Energy and Transportation Engineering, Inner Mongolia Agricultural University, Hohhot, 010010, China.
In the face of forest fire emergencies, fast and efficient dispatching of rescue vehicles is an important means of mitigating the damage caused by forest fires, and is an effective method of avoiding secondary damage caused by forest fires, minimizing the damage caused by forest fires to the ecosystem, and mitigating the losses caused by economic development. this paper takes the actual problem as the starting point, constructs a reasonable mathematical model of the problem, for the special characteristics of the emergency rescue vehicle scheduling problem of forest fires, taking into account the actual road conditions in the northern pristine forest area, through the analysis of the cost of paths between the forest area and the highway, to obtain the least obstructed rescue paths, to narrow the gap between the theoretical model and the problem of the actual. Improvement of ordinary genetic algorithm, design of double population strategy selection operation, the introduction of chaotic search initialization population, to improve the algorithm's solution efficiency and accuracy, through the northern pristine forest area of Daxing'anling real forest fire cases and generation of large-scale random fire point simulation experimental test to verify the effectiveness of the algorithm, to ensure that the effectiveness and reasonableness of the solution to the problem of forest fire emergency rescue vehicle scheduling program.
View Article and Find Full Text PDFEnviron Res
January 2025
Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Jatinangor, West Java 45363, Indonesia; Research Collaboration Center for Biomass and Biorefinery between BRIN and Universitas Padjadjaran, Jatinangor, West Java 45363, Indonesia.
Managing wastewater and using renewable energy sources are challenges in achieving Sustainable Development Goals. This study provides an overview of the factors influencing the performance of algae-based membrane bioreactors (AMBRs) for contaminant removal from wastewater and biogas. This review highlights that the performance of AMBRs in removing total phosphorus (TP) and nitrogen (N) from wastewater can reach up to 93% and 97%, depending on parameters such as pH, hydraulic retention time (HRT), and algae concentration.
View Article and Find Full Text PDFAnn Phys Rehabil Med
January 2025
Department of Neurological Physical Medicine and Rehabilitation, St Jacques Hospital, University Hospital of Nantes, 44093 Nantes, France; Laboratory Movement-Interactions-Performance (MIP), EA 4334, University of Nantes, 44322 Nantes, France. Electronic address:
Background: Intrathecal baclofen (ITB) therapy effectively reduces severe spasticity but is associated with complications that can be serious. The evolution of these complications over time and their predictive factors are not well known.
Objectives: The primary aim was to describe the incidence of ITB complications in adults with neurological disorders and disabling spasticity.
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