Background: Goal Attainment Scaling (GAS) is an individualized goal-setting and measurement approach that is useful for patients with multiple, individualized health problems, such as those served by geriatric day hospitals (GDHs) and other specialized geriatric programmes.
Purpose: To assess the feasibility and utility of GAS in a multi-site study of six GDH affiliated with the Regional Geriatric Programmes of Ontario.
Method: Individualized GAS guides were developed for 15 consecutively admitted patients at each site [total n = 90; mean age: 76.2 SD 8.3; 58.9% female; mean attendances: 24.0 SD 10.3]. Staff members (n = 39) were surveyed on their experience with GAS.
Results: Mean goals/patient ranged across sites from 2.1 to 4.3. Mean GAS discharge score was 52.3 SD 8.7, close to the theoretically expected values of 50 SD 10. Common goals included mobility, community reintegration, basic and instrumental activities of daily living, medical issues, cognition/communication, and home safety. Estimated mean time to develop a GAS guide ranged across sites from 15.3 to 43.8 min.
Conclusion: Clients were often involved in goal setting; family involvement was less frequent. The staff survey identified challenges and benefits regarding the use of GAS. Study results are being used to inform a more consistent approach to the clinical and research use of GAS in GDH.
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http://dx.doi.org/10.3109/09638288.2012.660600 | DOI Listing |
Alzheimers Dement (N Y)
January 2025
Alzheimer Center Amsterdam Neurology Vrije Universiteit Amsterdam, Amsterdam UMC VUmc Amsterdam The Netherlands.
Introduction: Recruitment of participants for intervention studies is challenging. We evaluated the effectiveness and efficiency of a participant recruitment campaign through an online registry for the FINGER-NL study, a multi-domain lifestyle intervention trial targeting cognitively healthy individuals aged 60-79 with dementia prevention potential. Additionally, we explored which recruitment strategy successfully reached individuals from underrepresented groups in research.
View Article and Find Full Text PDFHCA Healthc J Med
December 2024
Grand Strand Medical Center, Myrtle Beach, SC.
Background: With increasing numbers of human-animal interactions, there has been an increase in animal-related injuries. While canine bites are the most commonly reported animal injury, little data exists in regard to the other classes of animals, particularly marine life. The last comprehensive report on injuries related to noncanine bites and stings seen in emergency departments (EDs) across the US was between 2011 and 2015.
View Article and Find Full Text PDFImplement Sci
January 2025
University of California, Los Angeles, Los Angeles, CA, 90025, USA.
Background: Remaking Recess (RR) is a school-based evidence-based peer social engagement intervention for autistic students. RR involves direct training and coaching with educators; however, educators face several barriers to implementation at both the individual- and organizational-levels. This protocol paper describes a multi-site study that will test whether an educator-level implementation strategy, coaching, with or without a school-level implementation strategy, school-based teams, will maximize educators' use (fidelity and sustainment) of RR for autistic students and their peers who are socially-isolated, rejected, or peripheral and may need additional support during recess.
View Article and Find Full Text PDFHum Brain Mapp
January 2025
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Trait mindfulness refers to one's disposition or tendency to pay attention to their experiences in the present moment, in a non-judgmental and accepting way. Trait mindfulness has been robustly associated with positive mental health outcomes, but its neural underpinnings are poorly understood. Prior resting-state fMRI studies have associated trait mindfulness with within- and between-network connectivity of the default-mode (DMN), fronto-parietal (FPN), and salience networks.
View Article and Find Full Text PDFEur Radiol
January 2025
Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Background: Chronic liver disease (CLD) is a substantial cause of morbidity and mortality worldwide. Liver stiffness, as measured by MR elastography (MRE), is well-accepted as a surrogate marker of liver fibrosis.
Purpose: To develop and validate deep learning (DL) models for predicting MRE-derived liver stiffness using routine clinical non-contrast abdominal T1-weighted (T1w) and T2-weighted (T2w) data from multiple institutions/system manufacturers in pediatric and adult patients.
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