scholarly journals Contingency Management Banking

2020 ◽  
Vol 22 ◽  
Author(s):  
André Queiroz Miguel ◽  
Viviane Simões ◽  
Rodolfo Yamauchi ◽  
Clarice S. Madruga ◽  
Claudio J. Da Silva ◽  
...  
Keyword(s):  
Behavioral Interventions ◽  
Behavioral Science ◽  
Contingency Management ◽  
Community Treatment ◽  
Evidence Based ◽  
Technical Article ◽  
Engagement In Treatment ◽  
Positive Results ◽  
Treatment Settings

Contingency Management (CM) is among the most effective behavioral interventions for cocaine use disorders (CUD), yet the dissemination of CM to community treatment settings has been limited and slow due partially to costs. Recently, our group completed the first Brazilian CM trial for CUD. Despite our positive results, we observed specific components of the CM procedure that could be contributing to unnecessary costs. Prompted by this experience and leveraging evidence-based behavioral science principles, we recently developed a modified version of CM designed to reduce costs and increase long-term engagement in treatment. In this technical article we present the scientific, clinical and practical rationale behind a novel CM procedure. We provide a detailed description and rationale for this procedure in an effort to stimulate discussion amongst other scientists about its utility across a diverse array of low-resource treatment settings and discuss why CM banking may reduce costs and enhance treatment engagement.

Maximizing Outcomes in Group Treatment of Aphasia: Lessons Learned From a Community-Based Center

2014 ◽  
Vol 24 (3) ◽  
pp. 100-105 ◽  
Author(s):  
Darlene Williamson
Keyword(s):  
Group Treatment ◽  
Treatment Protocol ◽  
Lessons Learned ◽  
Group Program ◽  
Community Based ◽  
Multiple Treatment ◽  
Use Of Technology ◽  
Communication Impairments ◽  
Treatment Settings

Given the potential of long term intervention to positively influence speech/language and psychosocial domains, a treatment protocol was developed at the Stroke Comeback Center which addresses communication impairments arising from chronic aphasia. This article presents the details of this program including the group purposes and principles, the use of technology in groups, and the applicability of a group program across multiple treatment settings.

Middle School Students with Exceptional Learning Needs Investigate the Use of Visuals for Learning Science

2012 ◽  
Vol 7 (1) ◽  
Author(s):  
Robin Ward McCartney ◽  
Donna Dugger Wadsworth
Keyword(s):  
Students With Disabilities ◽  
Learning Needs ◽  
Evidence Based ◽  
School Students ◽  
Construction Of Knowledge ◽  
Personal Perceptions ◽  
Is Theory ◽  
Visual Graphic ◽  
Enhanced Learning ◽  
Positive Results

A visual instructional tool that is theory-driven and supported by evidence-based research is used to support student learning and information-processing. The graphic organizer has enhanced learning in Science Education as well as Special Education, emphasizing the construction of knowledge with meaningful sequential relationships rather than memorizing isolated fragments of information. Students construct a visual schema that represents a system of interrelated concepts and icons created by the learner. This article provides a description of a qualitative application of how students with disabilities are able to represent their ideas by assimilating subject matter and their personal perceptions of content by drawing pictures connected to concepts within the visual graphic. Positive results were documented in this study.

Design and Development of a Web-based Delirium Preventive Application for Long-term Care Facilities: A Methodological Study (Preprint)

2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Cloud System ◽  
Evidence Based ◽  
Methodological Study ◽  
Term Care ◽  
Web Based ◽  
Care Facilities ◽  
Delirium Prevention

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none

scholarly journals Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project

Obesity Facts ◽  
2021 ◽  
pp. 1-14
Author(s):  
R. James Stubbs ◽  
Cristiana Duarte ◽  
António L. Palmeira ◽  
Falko F. Sniehotta ◽  
Graham Horgan ◽  
...  
Keyword(s):  
Weight Loss ◽  
Behaviour Change ◽  
Digital Health ◽  
Self Regulation ◽  
Self Management ◽  
Behaviour Change Techniques ◽  
Evidence Based ◽  
Behavioural Science ◽  
Digital Architecture

<b><i>Background:</i></b> Effective interventions and commercial programmes for weight loss (WL) are widely available, but most people regain weight. Few effective WL maintenance (WLM) solutions exist. The most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action planning and control, building self-efficacy, and techniques that promote autonomous motivation (e.g., provide choice). Stress management and emotion regulation techniques show potential for prevention of relapse and weight regain. Digital technologies (including networked-wireless tracking technologies, online tools and smartphone apps, multimedia resources, and internet-based support) offer attractive tools for teaching and supporting long-term behaviour change techniques. However, many digital offerings for weight management tend not to include evidence-based content and the evidence base is still limited. <b><i>The Project:</i></b> First, the project examined why, when, and how many European citizens make WL and WLM attempts and how successful they are. Second, the project employed the most up-to-date behavioural science research to develop a digital toolkit for WLM based on 2 key conditions, i.e., self-management (self-regulation and motivation) of behaviour and self-management of emotional responses for WLM. Then, the NoHoW trial tested the efficacy of this digital toolkit in adults who achieved clinically significant (≥5%) WL in the previous 12 months (initial BMI ≥25). The primary outcome was change in weight (kg) at 12 months from baseline. Secondary outcomes included biological, psychological, and behavioural moderators and mediators of long-term energy balance (EB) behaviours, and user experience, acceptability, and cost-effectiveness. <b><i>Impact:</i></b> The project will directly feed results from studies on European consumer behaviour, design and evaluation of digital toolkits self-management of EB behaviours into development of new products and services for WLM and digital health. The project has developed a framework and digital architecture for interventions in the context of EB tracking and will generate results that will help inform the next generation of personalised interventions for effective self-management of weight and health.

scholarly journals Using Inclusive Design to Develop a Tele–Tai Chi Intervention for Older Adults With Long-Term Mobility Disability

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 599-600
Author(s):  
Tracy Mitzner ◽  
Elena Remillard ◽  
Kara Cohen ◽  
Jordan Chen
Keyword(s):  
Older Adults ◽  
Tai Chi ◽  
Target Population ◽  
Evidence Based ◽  
Exercise Interventions ◽  
Software Developer ◽  
Master Trainer ◽  
Evidence Based Programs ◽  
To Receive

Abstract Tele-technologies may be able to increase access to evidence-based exercise interventions for adults aging with long-term mobility disabilities. This population experiences substantial barriers in attending such programs in person, including lack of transportation to classes, inaccessible buildings where classes are held, and lack of appropriate modifications offered for this population of older adults. It is critical to overcome such barriers to ensure this population has an opportunity to receive the benefits of evidence-based programs. In this study we are translating an in-person evidence-based tai chi intervention, Tai Chi for Arthritis, to an online platform using videoconferencing software for those aging with long-term mobility disabilities. We will describe our approach of including users from the target population and industry representatives (videoconferencing software developer, Tai Chi for Arthritis program developer as well as local master trainer) in the adaptation of the intervention and present the key findings from doing so.

scholarly journals Implementation support for contingency management: preferences of opioid treatment program leaders and staff

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Kelli Scott ◽  
Shelly Jarman ◽  
Samantha Moul ◽  
Cara M. Murphy ◽  
Kimberly Yap ◽  
...  
Keyword(s):  
Performance Feedback ◽  
Contingency Management ◽  
Scale Up ◽  
Team Approach ◽  
Evidence Based ◽  
Implementation Support ◽  
Training Performance ◽  
Opioid Treatment ◽  
Treatment Providers ◽  
External Facilitation

Abstract Background Contingency management (CM), a behavioral intervention that provides incentives for achieving treatment goals, is an evidence-based adjunct to medication to treat opioid use disorder. Unfortunately, many front-line treatment providers do not utilize CM, likely due to contextual barriers that limit effective training and ongoing support for evidence-based practices. This study applied user-informed approaches to adapt a multi-level implementation strategy called the Science to Service Laboratory (SSL) to support CM implementation. Methods Leaders and treatment providers working in community-based opioid treatment programs (OTPs; N = 43) completed qualitative interviews inquiring about their preferences for training and support implementation strategies (didactic training, performance feedback, and external facilitation). Our team coded interviews using a reflexive team approach to identify common a priori and emergent themes. Results Leaders and providers expressed a preference for brief training that included case examples and research data, along with experiential learning strategies. They reported a desire for performance feedback from internal supervisors, patients, and clinical experts. Providers and leaders had mixed feelings about audio-recording sessions but were open to the use of rating sheets to evaluate CM performance. Finally, participants desired both on-call and regularly scheduled external facilitation to support their continued use of CM. Conclusions This study provides an exemplar of a user-informed approach to adapt the SSL implementation support strategies for CM scale-up in community OTPs. Study findings highlight the need for user-informed approaches to training, performance feedback, and facilitation to support sustained CM use in this setting.

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