Part I: The Psychopharmacology of Long-Term Aggression-Toward an Evidence-Based Algorithm

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

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

Obesity Facts ◽

10.1159/000515663 ◽

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

Background: 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. The Project: 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. Impact: 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.

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

Innovation in Aging ◽

10.1093/geroni/igaa057.2018 ◽

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.

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Therapeutic immediacy across long-term psychodynamic psychotherapy: An evidence-based case study.

Journal of Counseling Psychology ◽

10.1037/a0026087 ◽

2012 ◽

Vol 59 (1) ◽

pp. 27-40 ◽

Cited By ~ 13

Author(s):

Jason Mayotte-Blum ◽

Jenelle Slavin-Mulford ◽

Meaghan Lehmann ◽

Frank Pesale ◽

Nikaya Becker-Matero ◽

...

Keyword(s):

Psychodynamic Psychotherapy ◽

Evidence Based

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Reframing Aging in Contemporary Politics: Building Momentum

Innovation in Aging ◽

10.1093/geroni/igaa057.2370 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 681-681

Author(s):

Patricia D'Antonio

Keyword(s):

Social Change ◽

Older People ◽

Evidence Based ◽

Negative Attitudes ◽

Attitudes And Behaviors ◽

Contemporary Politics ◽

Perceptions Of Aging ◽

The Many ◽

Changing Attitudes

Abstract Changing American culture is challenging and changing attitudes and behaviors around the universal experience of aging especially so. Unless the field of advocates who care about aging issues cultivates a more visible, more informed conversation on older people, it will remain difficult to advance the systemic changes needed to adjust to a society with increased and increasing longevity. Advocates will need to be vigilant to avoid cueing negative attitudes towards aging and aging policies. The Reframing Aging Initiative is a long-term, social change endeavor designed to improve the public’s understanding of what aging means and the many contributions older people bring to society. Using evidence-based research, the initiative seeks to teach advocates how to tell an effective story about aging that will promote positive perceptions of aging and reduce ageism. The time to change the conversation is now.

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When a Baby Is Sent Away: Evidence to Support Best Practice After Neonatal Transport

Neonatal Network The Journal of Neonatal Nursing ◽

10.1891/0730-0832.37.3.178 ◽

2018 ◽

Vol 37 (3) ◽

pp. 178-181

Author(s):

Sabrina Schwartz ◽

Deborah A. Raines

Keyword(s):

Best Practice ◽

Care Center ◽

Bonding Process ◽

Evidence Based ◽

Evidence Based Practices ◽

Neonatal Transport ◽

Child Relationship ◽

The Hours ◽

Mother Child Relationship

Every day neonates are transported from the birth hospital to a tertiary neonatal care center. Separation of mother and neonate in the hours immediately following birth interrupts the bonding process and can have long-term implications for the mother–child relationship. This article synthesizes the literature focused on mothers’ experiences with a neonate being transported to a tertiary NICU and identifies evidence-based practices specific to these situations.

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Feasibility barriers and effectiveness of specific treatments for early psychosis in routine mental health care

European Psychiatry ◽

10.1016/s0924-9338(11)73745-2 ◽

2011 ◽

Vol 26 (S2) ◽

pp. 2042-2042

Author(s):

M. Ruggeri

Keyword(s):

Psychosocial Interventions ◽

Early Psychosis ◽

Control Group ◽

Routine Practice ◽

Evidence Based ◽

Roles And Responsibilities ◽

Or Practice ◽

Representative Samples ◽

Poor Management

IntroductionIssues of organisational structure and commitment, resource development, and clarity of roles and responsibilities must be addressed before proceeding with any attempt to implement evidence based interventions in a specific service.Evidence suggests that the management of most mental disorders and especially of psychoses is frequently suboptimal. This trend might reflect instances of inadequate resource allocation, but might also reflect the effects of stigma, discrimination, and social exclusion that people with psychosis often experience. It might also indicate poor management of available resources or deficiencies in knowledge or practice.AimsMulti-element psychosocial interventions in the first 5 years from psychosis onset have proved to facilitating recovery and reducing long-term disability. However, most studies often do not test efficacy against a control group and have been conducted in non-epidemiologically representative samples. The presentation will be focussed on process of assessment of acceptability and discrepancies between evidence and clinical practice in the treatment of schizophrenia in community care.Methods and ResultsTrials - such as the GET UP Trial (National Coordinator: Mirella Ruggeri) that is part of the Strategic Research Programs of the Italian Government - that are being conducted in the routine practice and that aim to test the feasibility and cost-effectiveness of evidence-based psychosocial interventions will be presented and discussed.ConclusionsVerify the barriers to application and situations when evidence-based interventions practice might be ineffective or inappropriate, understanding their advantages and limitations is a crucial challenge in the area of early psychosis treatment.

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Our changing atmosphere: Evidence based on long-term infrared solar observations at the Jungfraujoch since 1950

The Science of The Total Environment ◽

10.1016/j.scitotenv.2007.10.018 ◽

2008 ◽

Vol 391 (2-3) ◽

pp. 184-195 ◽

Cited By ~ 69

Author(s):

R. Zander ◽

E. Mahieu ◽

P. Demoulin ◽

P. Duchatelet ◽

G. Roland ◽

...

Keyword(s):

Evidence Based ◽

Solar Observations

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Evidence-Based Cognitive Rehabilitation for People With Multiple Sclerosis: A Systematic Review

American Journal of Occupational Therapy ◽

10.5014/ajot.2021.75s2-po385 ◽

2021 ◽

Vol 75 (Supplement_2) ◽

pp. 7512520385p1-7512520385p1

Author(s):

Yu-Chih Chen ◽

Szu-Wei Chen ◽

Britney Ferri

Keyword(s):

Processing Speed ◽

Cognitive Skills ◽

Cognitive Rehabilitation ◽

Evidence Based ◽

Long Term Outcomes ◽

Noninvasive Brain Stimulation ◽

Future Studies ◽

Cognitive Improvement ◽

Computer Based

Abstract Date Presented 04/22/21 Computer-based programs, conventional cognitive rehabilitation, neurologic music therapy, and noninvasive brain stimulation are effective in improving memory and learning, processing speed, language, executive function, or general cognitive skills. However, the retention of treatment effects and the generalizability of the cognitive improvement to the daily occupations are not clear. Including a predetermined single outcome, functional and long-term outcomes are needed in future studies. Primary Author and Speaker: Yu-Chih Chen Contributing Authors: Nicole Gerhardt, Christina Calhoun Thielen, Winnie Dunn, and Mary Jane Mulcahey

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