Although outcomes are a critical component of evidence-based practice, measuring augmentative and alternative communication (AAC) outcomes remains problematic. This is, in part, because there is no consensus on how to operationally define AAC communication outcomes. To gain greater insight into AAC communication outcomes, we used the communicative competence framework to determine which areas of AAC intervention have received the greatest attention and how these outcomes are being measured. The following data were charted from the 77 studies that met the inclusion criteria for the scoping review: study design, study participants, study communication target (e.g., language, word learning, etc.), and communication outcome measurements. Across the included studies, researchers used a variety of standardized and non-standardized measures to assess outcomes. Seventy-seven percent of the studies assessed social skills and 62% assessed linguistic skills. A limited number of studies measured operational (14%), strategic (4%), and psychosocial (18%) skills. Using the communicative competence framework enabled us to identify gaps in the research that has been conducted to date.
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http://dx.doi.org/10.1080/10400435.2023.2251041 | DOI Listing |
Int J Audiol
January 2025
Department of Otorhinolaryngology, Radboud University Medical Center, Nijmegen, The Netherlands.
Objective: To assess the impact of cochlear implantation (CI) and speech perception outcomes on the quality of life (QoL) of adult CI users and their communication partners (CP) one-year post-implantation.
Design: This research is part of a prospective multicenter study in The Netherlands, called SMILE (Societal Merit of Intervention for hearing Loss Evaluation).
Study Sample: Eighty adult CI users completed speech perception testing and the Nijmegen Cochear Implant Questionnaire (NCIQ).
Biol Sex Differ
January 2025
Department of Psychology, Memorial University of Newfoundland and Labrador, St. John's NL, Canada.
As the earliest measure of social communication in rodents, ultrasonic vocalizations (USVs) in response to maternal separation are critical in preclinical research on neurodevelopmental disorders (NDDs). While sex differences in both USV production and behavioral outcomes are reported, many studies overlook sex as a biological variable in preclinical NDD models. We aimed to evaluate sex differences in USV call parameters and determine if USVs are differently impacted based on sex in the preclinical maternal immune activation (MIA) model.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
Background: Unwarranted clinical variation presents a major challenge in contemporary healthcare, indicating potential inequalities and inefficiencies, and unrealised potential for better outcomes. Despite an increasing focus on unwarranted clinical variation, and consideration of efforts to address this challenge, evidence-based strategies which achieve this are limited. Audit and feedback of healthcare processes (process auditing) and clinician engagement are important tools which may help to reduce unwarranted clinical variation, however their application in maternity care is yet to be thoroughly explored.
View Article and Find Full Text PDFSci Rep
January 2025
Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Decades of research hold that empathy is a multifaceted construct. A related challenge in empathy research is to describe how each subcomponent of empathy uniquely contributes to social outcomes. Here, we examined distinct mechanisms through which different components of empathy-Empathic Concern, Perspective Taking, and Personal Distress-may relate to prosociality.
View Article and Find Full Text PDFSci Rep
January 2025
Ministry of Higher Education, Mataria Technical College, Cairo, 11718, Egypt.
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt.
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