This article presents a variety of treatment approaches based on an understanding of four components of communication, and describes cluttering intervention focusing on problem identification, speech rate reduction, appropriate pausing, appropriate monitoring, and addressing story narrating skills. Therapeutic considerations, taking into account the specific characteristics of cluttering, will also be presented. Finally, building clients’ confidence, emotional skills, and sense of accomplishment will turn the therapeutic process into awareness of realistic expectations and motivation to pursue challenging goals. Cluttering is a disorder of speech fluency in which people are not capable of adequately adjusting their speech rate to the syntactical or phonological demands of the moment (van Zaalen, 2009). When language production is relatively easy, people with cluttering (PWC) are capable of producing fluent and intelligible speech. When language production demands are more complex, the speech rate should be adjusted to the language complexity. PWC tend to have difficulties doing so. This reduced ability of PWC to control their speech rate results in either a higher than normal frequency of disfluencies or multiple speech errors. This article presents various intervention approaches based on an understanding of four components of communication: cognitive, emotional, verbal-motor, and communicative. The article focuses on problem identification, speech rate reduction, appropriate pausing, and addressing monitoring and story narrating skills. Therapeutic considerations, taking into account the specific characteristics of cluttering, will also be presented.
Background:Telemonitoring (TM), as part of telehealth, allows physiotherapists to monitor and coach their patients using remotely collected data. The use of TM requires a different approach compared with face-to-face treatment. Although a telehealth capability framework exists for health care professionals, it remains unclear what specific capabilities are required to use TM during physiotherapy treatments.Objective:This study aims to identify the capabilities required to use TM in physiotherapy treatment.Methods:An exploratory qualitative study was conducted following a constructivist semistructured grounded theory approach. Three heterogeneous focus groups were conducted with 15 lecturers of the School of Physiotherapy (Bachelor of Science Physiotherapy program) from the Amsterdam University of Applied Sciences. Focus group discussions were audiotaped and transcribed verbatim. Capabilities for using TM in physiotherapy treatment were identified during an iterative process of data collection and analysis, based on an existing framework with 4 different domains. Team discussions supported further conceptualization of the findings.Results:Sixteen capabilities for the use of TM in physiotherapy treatment were found addressing 3 different domains. Four capabilities were identified in the “digital health technologies, systems, and policies” domain, 7 capabilities in the “clinical practice and application” domain, and 5 capabilities in the “data analysis and knowledge creation” domain. No capabilities were identified in the “system and technology implementation” domain.Conclusions:The use of TM in physiotherapy treatment requires specific skills from physiotherapists. To best use TM in physiotherapy treatment, it is important to integrate these capabilities into the education of current and future physiotherapists.
MULTIFILE
Background: Recent theoretical models emphasize the role of impulsive processes in alcohol addiction, which can be retrained with computerized Cognitive Bias Modification (CBM) training. In this study, the focus is on action tendencies that are activated relatively automatically. Objective: The aim of the study is to examine the effectiveness of online CBM Alcohol Avoidance Training using an adapted Approach-Avoidance Task as a supplement to treatment as usual (TAU) in an outpatient treatment setting. Methods: The effectiveness of 8 online sessions of CBM Alcohol Avoidance Training added to TAU is tested in a double-blind, randomized controlled trial with pre- and postassessments, plus follow-up assessments after 3 and 6 months. Participants are adult patients (age 18 years or over) currently following Web-based or face-to-face TAU to reduce or stop drinking. These patients are randomly assigned to a CBM Alcohol Avoidance or a placebo training. The primary outcome measure is a reduction in alcohol consumption. We hypothesize that TAU + CBM will result in up to a 13-percentage point incremental effect in the number of patients reaching the safe drinking guidelines compared to TAU + placebo CBM. Secondary outcome measures include an improvement in health status and a decrease in depression, anxiety, stress, and possible mediation by the change in approach bias. Finally, patients’ adherence, acceptability, and credibility will be examined. Results: The trial was funded in 2014 and is currently in the active participant recruitment phase (since May 2015). Enrolment will be completed in 2019. First results are expected to be submitted for publication in 2020. Conclusions: The main purpose of this study is to increase our knowledge about the added value of online Alcohol Avoidance Training as a supplement to TAU in an outpatient treatment setting. If the added effectiveness of the training is proven, the next step could be to incorporate the intervention into current treatment.
