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Evaluations of treatments using applied behavior analysis (ABA) for challenging behavior have relied mostly on direct behavioral observation. While observation is crucial, qualitative information can also be beneficial. In this study, we describe methods for using qualitative information in ABA treatments for challenging behavior. Three participants were undergoing treatment for challenging behavior. Information was collected through caregiver interviews at the start and end of the admission. Directed content analysis identified themes in the interviews and we compared treatment outcomes using qualitative and quantitative measures. Three themes emerged: description, frequency, and impact of the behavior. Quantitative and qualitative measures both suggested successful interventions for two participants. For the third, direct observation suggested treatment was effective while caregiver report did not. Incorporation of qualitative information into outcomes allowed for a more comprehensive view of treatment success and guided assessment and treatment decisions. Treatments based on applied behavior analysis (ABA) are commonly studied for the treatment of challenging behavior, but these studies rely mostly on direct behavioral observation. While observation is crucial, qualitative information is also useful in ensuring meaningful results. In this study, we describe a method of collecting, analyzing, and using qualitative information collected from caregivers and compare qualitative to quantitative outcomes.
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http://dx.doi.org/10.1080/20473869.2018.1428521 | DOI Listing |
Interv Neuroradiol
September 2025
Department of Neurosurgery, Shinshu University School of Medicine, Matsumoto, Japan.
BackgroundA stable guiding system is essential for successful carotid artery stenting (CAS), particularly when navigating tortuous aortic or supra-aortic anatomy. However, data on the mechanical behavior of stent delivery systems remain scarce.ObjectiveTo assess and compare the bending stiffness and trackability of five commercially available carotid stent delivery systems using bench-top experiments.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Institute of Hospital Management, Peking University Third Hospital, Beijing, China.
Background: Telemedicine is developing rapidly, presenting new opportunities and challenges for physicians and patients. Limited research has examined physicians' behavior during the process of adopting telemedicine and related factors.
Objective: This study aimed to identify perceived barriers and enablers of physicians' adoption of telemedicine and to develop intervention strategies.
JMIR Res Protoc
September 2025
Gender and Women's Health Unit, Nossal Institute for Global Health, School of Population and Global Health, The University of Melbourne, Carlton, Australia.
Background: Assisted vaginal birth is a lifesaving procedure where health workers use special devices to expedite birth vaginally when some complications emerge, such as due to prolonged labor. When the use of assisted vaginal birth is possible and appropriate, it provides benefits over cesarean section. These benefits include shorter recovery, reduced hospital stays, lower risks of complications, cost savings, and greater likelihood of vaginal birth in future pregnancies.
View Article and Find Full Text PDFMacromol Rapid Commun
September 2025
Key Laboratory of Textile Science & Technology, College of Textiles, Ministry of Education, Donghua University, Shanghai, China.
Persistent bacterial infections remain a major challenge in wound management. Although drug-loaded wound dressings have gained increasing attention, their therapeutic efficacy is often hindered by uncontrolled drug release and a lack of electrical signal responsiveness. Herein, an antibacterial dressing (CCS-PC) with electroactivity and stimulus-responsive drug release properties was fabricated via electro-assembly, wherein chitosan and ciprofloxacin hydrochloride (CIP) were co-deposited onto polypyrrole (PPy)-coated gauze.
View Article and Find Full Text PDFNutr Health
September 2025
Independent researcher, Rome, Italy.
Artificial intelligence (AI) is increasingly applied in nutrition science to support clinical decision-making, prevent diet-related diseases such as obesity and type 2 diabetes, and improve nutrition care in both preventive and therapeutic settings. By analyzing diverse datasets, AI systems can support highly individualized nutritional guidance. We focus on machine learning applications and image recognition tools for dietary assessment and meal planning, highlighting their potential to enhance patient engagement and adherence through mobile apps and real-time feedback.
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