22 research outputs found
Shape memory-based actuators and release mechanisms therefrom
SM-based actuators (110) and release mechanisms (100) therefrom and systems (500) including one or more release mechanisms (100). The actuators (110) comprise a SM member (118) and a deformable member (140) mechanically coupled to the SM member (118) which deforms upon a shape change of the SM member triggered by a phase transition of the SM member. A retaining element (160) is mechanically coupled to the deformable member (140), wherein the retaining element (160) moves upon the shape change. Release mechanism (100) include an actuator, a rotatable mechanism (120) including at least one restraining feature (178) for restraining rotational movement of the retaining element (160) before the shape change, and at least one spring (315) that provides at least one locked spring-loaded position when the retaining element is in the restraining feature and at least one released position that is reached when the retaining element is in a position beyond the restraining feature (178). The rotatable mechanism (120) includes at least one load-bearing protrusion (310). A hitch (400) is for mechanically coupling to the load, wherein the hitch is supported on the load bearing protrusion (310) when the rotatable mechanism is in the locked spring-loaded position
Policy to Implementation: Evidence-Based Practice in Community Mental Health — Study Protocol
Background: Evidence-based treatments (EBTs) are not widely available in community mental health settings. In response to the call for implementation of evidence-based treatments in the United States, states and counties have mandated behavioral health reform through policies and other initiatives. Evaluations of the impact of these policies on implementation are rare. A systems transformation about to occur in Philadelphia, Pennsylvania, offers an important opportunity to prospectively study implementation in response to a policy mandate.
Methods/design: Using a prospective sequential mixed-methods design, with observations at multiple points in time, we will investigate the responses of staff from 30 community mental health clinics to a policy from the Department of Behavioral Health encouraging and incentivizing providers to implement evidence-based treatments to treat youth with mental health problems. Study participants will be 30 executive directors, 30 clinical directors, and 240 therapists. Data will be collected prior to the policy implementation, and then at two and four years following policy implementation. Quantitative data will include measures of intervention implementation and potential moderators of implementation (i.e., organizational- and leader-level variables) and will be collected from executive directors, clinical directors, and therapists. Measures include self-reported therapist fidelity to evidence-based treatment techniques as measured by the Organizational Social Context Measurement System and the Implementation Climate Assessment, leader variables as measured by the Multifactor Leadership Questionnaire, attitudes towards EDTs as measured by the Evidence-Based Practice Attitude Scale, and knowledge of EBTs as measured by the knowledge of Evidence-Based Services Questionnaire. Qualitative data will include semi-structured interviews with a subset of the sample to assess the implementation experience of high-, average-, and low-performing agencies. Mixed methods will be integrated through comparing and contrasting results from the two methods for each of the primary hypotheses in this study.
Discussion: Findings from the proposed research will inform both future policy mandates around implementation and the support required for the success of these policies, with the ultimate goal of improving the quality of treatment provided to youth in the public sector
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Simulating economic effects of disruptions in the telecommunications infrastructure.
CommAspen is a new agent-based model for simulating the interdependent effects of market decisions and disruptions in the telecommunications infrastructure on other critical infrastructures in the U.S. economy such as banking and finance, and electric power. CommAspen extends and modifies the capabilities of Aspen-EE, an agent-based model previously developed by Sandia National Laboratories to analyze the interdependencies between the electric power system and other critical infrastructures. CommAspen has been tested on a series of scenarios in which the communications network has been disrupted, due to congestion and outages. Analysis of the scenario results indicates that communications networks simulated by the model behave as their counterparts do in the real world. Results also show that the model could be used to analyze the economic impact of communications congestion and outages
Predictors of Community Therapists\u27 Use of Therapy Techniques in a Large Public Mental Health System
Importance Few studies have examined the effects of individual and organizational characteristics on the use of evidence-based practices in mental health care. Improved understanding of these factors could guide future implementation efforts to ensure effective adoption, implementation, and sustainment of evidence-based practices.
Objective To estimate the relative contribution of individual and organizational factors on therapist self-reported use of cognitive-behavioral, family, and psychodynamic therapy techniques within the context of a large-scale effort to increase use of evidence-based practices in an urban public mental health system serving youth and families.
Design, Setting, and Participants In this observational, cross-sectional study of 23 organizations, data were collected from March 1 through July 25, 2013. We used purposive sampling to recruit the 29 largest child-serving agencies, which together serve approximately 80% of youth receiving publically funded mental health care. The final sample included 19 agencies with 23 sites, 130 therapists, 36 supervisors, and 22 executive administrators.
Main Outcomes and Measures Therapist self-reported use of cognitive-behavioral, family, and psychodynamic therapy techniques, as measured by the Therapist Procedures Checklist–Family Revised.
Results Individual factors accounted for the following percentages of the overall variation: cognitive-behavioral therapy techniques, 16%; family therapy techniques, 7%; and psychodynamic therapy techniques, 20%. Organizational factors accounted for the following percentages of the overall variation: cognitive-behavioral therapy techniques, 23%; family therapy techniques, 19%; and psychodynamic therapy techniques, 7%. Older therapists and therapists with more open attitudes were more likely to endorse use of cognitive-behavioral therapy techniques, as were those in organizations that had spent fewer years participating in evidence-based practice initiatives, had more resistant cultures, and had more functional climates. Women were more likely to endorse use of family therapy techniques, as were those in organizations employing more fee-for-service staff and with more stressful climates. Therapists with more divergent attitudes and less knowledge about evidence-based practices were more likely to use psychodynamic therapy techniques.
Conclusions and Relevance This study suggests that individual and organizational factors are important in explaining therapist behavior and use of evidence-based practices, but the relative importance varies by therapeutic technique
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Testing Standard and Modular Designs for Psychotherapy Treating Depression, Anxiety, and Conduct Problems in Youth
CONTEXT:
Decades of randomized controlled trials have produced separate evidence-based treatments for depression, anxiety, and conduct problems in youth, but these treatments are not often used in clinical practice, and they produce mixed results in trials with the comorbid, complex youths seen in practice. An integrative, modular redesign may help.
OBJECTIVE:
Standard/separate and modular/integrated arrangements of evidence-based treatments for depression, anxiety, and conduct problems in youth were compared with usual care treatment, with the modular design permitting a multidisorder focus and a flexible application of treatment procedures.
DESIGN:
Randomized effectiveness trial.
SETTING:
Ten outpatient clinical service organizations in Massachusetts and Hawaii.
PARTICIPANTS:
A total of 84 community clinicians were randomly assigned to 1 of 3 conditions for the treatment of 174 clinically referred youths who were 7 to 13 years of age (70% of these youths were boys, and 45% were white). The study was conducted during the period from January 12, 2005 to May 8, 2009.
INTERVENTIONS:
Standard manual treatment (59 youths [34% of the sample]; cognitive behavioral therapy for depression, cognitive behavioral therapy for anxiety, and behavioral parent training for conduct problems), modular treatment (62 youths [36%]; integrating the procedures of the 3 separate treatments), and usual care (53 youths [30%]).
MAIN OUTCOME MEASURES:
Outcomes were assessed using weekly youth and parent assessments. These assessments relied on a standardized Brief Problem Checklist and a patient-generated Top Problems Assessment (ie, the severity ratings on the problems that the youths and parents had identified as most important). We also conducted a standardized diagnostic assessment before and after treatment.
RESULTS:
Mixed effects regression analyses showed that modular treatment produced significantly steeper trajectories of improvement than usual care and standard treatment on multiple Brief Problem Checklist and Top Problems Assessment measures. Youths receiving modular treatment also had significantly fewer diagnoses than youths receiving usual care after treatment. In contrast, outcomes of standard manual treatment did not differ significantly from outcomes of usual care.
CONCLUSIONS:
The modular approach outperformed usual care and standard evidence-based treatments on multiple clinical outcome measures. The modular approach may be a promising way to build on the strengths of evidence-based treatments, improving their utility and effectiveness with referred youths in clinical practice settings. Trial Registration clinicaltrials.gov Identifier: NCT01178554.Psycholog