Recent work has highlighted that process-outcome relationships are likely to vary depending on the client, yet much work remains to be done in the area of tailoring interventions to a given client. This naturalistic single-case analysis provides an example of augmenting a treatment protocol with "off protocol" relaxation methods, based on routinely collected outcome information to guide shared decision making. Intensive case study analyses were applied to one client with principal generalized anxiety disorder and comorbid major depressive disorder receiving transdiagnostic cognitive-behavioral therapy. The client completed two routine anxiety and depression symptom and functioning scales prior to each session of naturalistic treatment. Time series analyses were applied to the two symptom measures. Among the results, (a) significant linear decreases in anxiety and depression from baseline to posttreatment were observed; and (b) the introduction of relaxation methods had a significant impact on the course of anxiety symptom change. In conclusion, routine outcome assessment can be used to inform intervention augmentation with individual clients. Furthermore, regular assessment is needed to determine if a client may benefit from an alternative set of specific intervention strategies.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/0145445518796202 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Field-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks.
PLoS One
January 2025
Rice Department, Bangkok, Thailand.
Bacterial Leaf Blight (BLB) usually attacks rice in the flowering stage and can cause yield losses of up to 50% in severely infected fields. The resulting yield losses severely impact farmers, necessitating compensation from the regulatory authorities. This study introduces a new pipeline specifically designed for detecting BLB in rice fields using unmanned aerial vehicle (UAV) imagery.
View Article and Find Full Text PDFGlaucoma detection and staging from visual field images using machine learning techniques.
PLoS One
January 2025
School of Optometry and Vision Science, UNSW Sydney, Sydney, New South Wales, Australia.
Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.
Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.
Classification-augmented survival estimation (CASE): A novel method for individualized long-term survival prediction with application to liver transplantation.
PLoS One
January 2025
Division of Gastroenterology & Hepatology, University of Toronto, Toronto, ON, Canada.
Survival analysis is critical in many fields, particularly in healthcare where it can guide medical decisions. Conventional survival analysis methods like Kaplan-Meier and Cox proportional hazards models to generate survival curves indicating probability of survival v. time have limitations, especially for long-term prediction, due to assumptions that all instances follow a general population-level survival curve.
View Article and Find Full Text PDFBioceramics for Guided Bone Regeneration: A Multicenter Randomized Controlled Trial.
Clin Implant Dent Relat Res
February 2025
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Objectives: To compare the clinical effectiveness of a novel bioceramic (BC) with a control xenograft (BO) for guided bone regeneration (GBR) performed simultaneously with implant placement.
Materials And Methods: This clinical study enrolled patients with insufficient bone volume who required GBR during implant placement to increase bone width using either BC or BO. Outcome measures included a dimensional reduction in buccal bone thickness measured by cone beam computed tomography performed immediately post-surgery and at 6 months postoperatively (ΔHBBT), soft tissue healing at 14 days, 1 month, and 6 months postoperatively, and complications rates.
Vascularized Iliac Crest Bone Graft for the Reconstruction of Anterior Vertebral Corpus Defects: A Literature Review and Cadaveric Feasibility Study.
Plast Reconstr Surg Glob Open
January 2025
From the Division of Plastic Surgery, Mayo Clinic, Phoenix, AZ.
Background: Vertebral body defects pose a significant challenge in spinal reconstructive surgery. Compression fractures of the vertebral corpus are typically treated with vertebral augmentation procedures. There are significant risks associated with the introduction of foreign material in the spine, including infection and pseudarthrosis.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!