Treatment fidelity is the use of methodological strategies to monitor and enhance reliability and validity of behavioral intervention trials. Despite availability of guidelines and checklists, treatment fidelity remains underreported, hindering evaluation, interpretation, and cross-study comparisons. Treatment fidelity is particularly important for music interventions given the inherent complexity of musical stimuli and flexibility required for tailored delivery. The purpose of this paper is to define and describe treatment fidelity strategies for our trial of a music-based play intervention for young children with cancer and parents grounded in the NIH Behavior Change Consortium Treatment Fidelity Recommendations. We report strategies for all 5 areas: study design, training providers, delivery of treatment, receipt of treatment, and enactment of treatment skills. We also discuss 4 challenges our team encountered, including: (1) standardizing live music delivery, (2) defining boundaries for tailored intervention delivery, (3) managing extended time between participants, and (4) minimizing risk for bias. This paper expands on current fidelity literature and may provide a working model for other investigators examining dyadic and/or active music interventions.
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http://dx.doi.org/10.1177/15347354221140491 | DOI Listing |
Sci Rep
December 2024
Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
Multi-talker speech intelligibility requires successful separation of the target speech from background speech. Successful speech segregation relies on bottom-up neural coding fidelity of sensory information and top-down effortful listening. Here, we studied the interaction between temporal processing measured using Envelope Following Responses (EFRs) to amplitude modulated tones, and pupil-indexed listening effort, as it related to performance on the Quick Speech-in-Noise (QuickSIN) test in normal-hearing adults.
View Article and Find Full Text PDFBMJ Open
December 2024
School of Health Sciences, University of Southampton, Southampton, Hampshire, UK.
Introduction: Incontinence is commonly experienced by adults who receive care support in a residential facility or in their own home. These individuals are at risk of developing incontinence-associated dermatitis (IAD), which is caused by prolonged and repeated exposure of the skin to urine or faeces. An IAD manual was developed providing an evidence-based clinical algorithm and an e-learning training programme for the prevention and treatment of IAD.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD, 4000, Australia.
Background: The detection and classification of lung nodules are crucial in medical imaging, as they significantly impact patient outcomes related to lung cancer diagnosis and treatment. However, existing models often suffer from mode collapse and poor generalizability, as they fail to capture the complete diversity of the data distribution. This study addresses these challenges by proposing a novel generative adversarial network (GAN) architecture tailored for semi-supervised lung nodule classification.
View Article and Find Full Text PDFJMIR Form Res
December 2024
Autism and Developmental Medicine Institute, Geisinger, Lewisburg, PA, United States.
Background: Medical marijuana (MMJ) is available in Pennsylvania, and participation in the state-regulated program requires patient registration and receiving certification by an approved physician. Currently, no integration of MMJ certification data with health records exists in Pennsylvania that would allow clinicians to rapidly identify patients using MMJ, as exists with other scheduled drugs. This absence of a formal data sharing structure necessitates tools aiding in consistent documentation practices to enable comprehensive patient care.
View Article and Find Full Text PDFAIChE J
December 2024
Department of Chemical and Biomedical Engineering, University of Missouri, Columbia, MO 65211, USA.
Wearable heart monitors are crucial for early diagnosis and treatment of heart diseases in non-clinical settings. However, their long-term applications require skin-interfaced materials that are ultrasoft, breathable, antibacterial, and possess robust, enduring on-skin adherence-features that remain elusive. Here, we have developed multifunctional porous soft composites that meet all these criteria for skin-interfaced bimodal cardiac monitoring.
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