With the growing use of ICBT in routine care clinics there is a need for literature on how to monitor and improve the quality of therapist behaviours in clinical practice. In this paper, we first provide background literature on Audit and Feedback (A&F), a common quality improvement technique, and then present a case study regarding the use of A&F to improve quality of therapist behaviours in emails sent to patients provided with ICBT in routine care. The A&F measure used was derived from previous research on therapist's email behaviours in ICBT. Fifteen undesirable therapist behaviours (e.g., ) were audited in 1840 emails sent from eight therapists to 198 randomly selected patients, representing 18% of 1114 patients who started between one and five lessons of ICBT in the previous year and did not formally withdraw from treatment ( = 31 patients). The therapists who were audited were provided feedback four times over a one-year period from October 2018 to September 2019. Overall, in all audit periods, we found a low percentage of undesirable therapist behaviours (i.e., therapists displayed the behaviour in 12% or less of the total emails sent). For most therapist behaviours, we saw a trend towards improvement across the four audit cycles. Three therapist behaviours (i.e., , , ) did not follow this pattern and were flagged for clinical discussion to determine why behaviours were elevated and whether these behaviours represented unrealistic expectations. The process was valuable for monitoring and improving therapist behaviours and highlights the need for future research on standards for therapist behaviours (e.g., which behaviours to focus on, setting acceptable levels of undesirable behaviour).
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http://dx.doi.org/10.1016/j.invent.2020.100309 | DOI Listing |
J Med Internet Res
January 2025
School of Design, Shanghai Jiao Tong University, Shanghai, China.
Background: Alzheimer disease is incurable, but it is possible to intervene and slow down the progression of dementia during periods of mild cognitive impairment (MCI) through virtual reality (VR) technology.
Objective: This study aimed to analyze the effects of VR interventions on older adults with MCI. The examined outcomes include cognitive abilities, mood, quality of life, and physical fitness, including general cognitive function, memory performance, attention and information processing speed, executive function, language proficiency, visuospatial abilities, depression, daily mobility of individuals, muscle performance, and gait and balance.
J Healthc Manag
January 2025
Division of Hospital Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, and Rocky Mountain Regional VA Medical Center, Aurora, Colorado.
Goal: To evaluate long-term outcomes of Better Together Physician Coaching, a digital life-coaching program to improve resident well-being.
Methods: We performed a secondary analysis of survey data from the pilot program implementation between January 2021 and June 2022. An intention-to-treat analysis was completed for baseline versus post-6 months and baseline versus post-12 months for all outcome measures.
Eur J Pain
February 2025
Department of Rehabilitation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Background: The internet is increasingly used as a primary source of information for patients with musculoskeletal pain. Private physiotherapy practices provide informative content on low back pain (LBP) and neck pain (NP) on their websites, but the extent to which this information is biopsychosocial, guidelines-consistent, and fear-inducing is unknown. The aim of this study was to analyse the information on websites of private physiotherapy practices in the Netherlands about LBP and NP regarding consistency with the guidelines and the biopsychosocial model and to explore the use of fear-inducing language.
View Article and Find Full Text PDFBehav Anal Pract
December 2024
Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA.
Unlabelled: Collecting data and logging behaviors of clients who have autism spectrum disorder (ASD) during applied behavior analysis (ABA) therapy sessions can be challenging in real time, especially when the behaviors require a rapid response, like self-injury or aggression. Little information is available about the automation of data collection in ABA therapy, such as through machine learning (ML). Our survey of ABA therapists nationally revealed mixed levels of familiarity with ML and generally neutral responses to statements endorsing the benefits of ML.
View Article and Find Full Text PDFBMC Pediatr
January 2025
Department of Developmental and Behavioral Pediatrics, Children's Medical Center, The First Hospital of Jilin University, Changchun, China.
Background: Most previous studies have focused on the clinical efficacy after intervention of ESDM, particularly in core symptoms. However, only a few have paid attention to the effectiveness of ESDM on emotional dysregulation and behavior problems in children with ASD. This study aimed to explore the effect of the ESDM on addressing emotional dysregulation and behavior problems in children with ASD in China, as well as its correlation with core symptoms of ASD.
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