Sulfur Dioxide Designations and Implementation Modeling Guidance and Assistance

EPA Pesticide Factsheets

The information and links here are intended to help inform and assist Regional, State, Local, and Tribal modelers with respect to designation and implementation modeling for the 1-hour SO2 NAAQS that became effective on June 2, 2010.

Strengthening decentralized primary healthcare planning in Nigeria using a quality improvement model: how contexts and actors affect implementation.

PubMed

Eboreime, Ejemai Amaize; Nxumalo, Nonhlanhla; Ramaswamy, Rohit; Eyles, John

2018-05-08

Quality improvement models have been applied across various levels of health systems with varying success leading to scepticisms about effectiveness. Health systems are complex, influenced by contexts and characterized by numerous interests. Thus, a shift in focus from examining whether improvement models work, to understanding why, when and where they work most effectively is essential. Nigeria introduced DIVA (Diagnose-Intervene-Verify-Adjust) as a model to strengthen decentralized PHC planning. However, implementation has been poorly sustained. This article explores the role of actors and context in implementation and sustainability of DIVA in two local government areas (LGAs) in Nigeria. We employed an integrated mixed method approach in which qualitative data was used in conjunction with quantitative to understand effects of actors and contexts on implementation outcomes. We analysed policy documents and conducted interviews with PHC managers. Then using the Model for Understanding Success in Quality (MUSIQ), we measured contextual factors affecting implementation of DIVA in the selected LGAs. The LGAs scored 117.42 and 104.67 out of 168 points on the MUSIQ scale, respectively, indicating contextual barriers exist. Both have strong DIVA team attributes, but these could not independently ensure quality implementation. Although external support accounted for the greatest contextual disparities, the utmost implementation challenges relate to subnational government leadership, management, financial and technical support. Although higher levels of government may set visionary goals for PHC, interventions are potentially skewed towards donor interests at lower (implementation) levels. Thus, subnational political will is a key determinant of quality implementation. Consequently, advocacy for responsible and accountable political governance is essential in comparable decentralized contexts.

Simulation of Ultra-Small MOSFETs Using a 2-D Quantum-Corrected Drift-Diffusion Model

NASA Technical Reports Server (NTRS)

Biegel, Bryan A.; Rafferty, Conor S.; Yu, Zhiping; Dutton, Robert W.; Ancona, Mario G.; Saini, Subhash (Technical Monitor)

1998-01-01

We describe an electronic transport model and an implementation approach that respond to the challenges of device modeling for gigascale integration. We use the density-gradient (DG) transport model, which adds tunneling and quantum smoothing of carrier density profiles to the drift-diffusion model. We present the current implementation of the DG model in PROPHET, a partial differential equation solver developed by Lucent Technologies. This implementation approach permits rapid development and enhancement of models, as well as run-time modifications and model switching. We show that even in typical bulk transport devices such as P-N diodes and BJTs, DG quantum effects can significantly modify the I-V characteristics. Quantum effects are shown to be even more significant in small, surface transport devices, such as sub-0.1 micron MOSFETs. In thin-oxide MOS capacitors, we find that quantum effects may reduce gate capacitance by 25% or more. The inclusion of quantum effects in simulations dramatically improves the match between C-V simulations and measurements. Significant quantum corrections also occur in the I-V characteristics of short-channel MOSFETs due to the gate capacitance correction.

Implementation of a Brown Carbon Parameterization in the Community Earth System Model (CESM): Model Validation, Estimation of Brown Carbon Radiative Effect, and Climate Impact

NASA Astrophysics Data System (ADS)

Brown, Hunter Y.

A recent development in the representation of aerosols in climate models is the realization that some components of organic carbon (OC), emitted from biomass and biofuel burning, can have a significant contribution to short-wave radiation absorption in the atmosphere. The absorbing fraction of OC is referred to as brown carbon (BrC). This study introduces one of the first implementations of BrC into the Community Earth System Model (CESM), using a parameterization for BrC absorption described in Saleh et al. (2014). 9-year experiments are run (2003-2011) with prescribed emissions and sea surface temperatures to analyze the effect of BrC in the atmosphere. Model validation is conducted via model comparison to single-scatter albedo (SSA) and aerosol optical depth from the Aerosol Robotic Network (AERONET), as well as comparison with a laboratory derived parameterization for SSA dependent on the (black carbon (BC))/(BC+OC) ratio in biomass burning emissions. These comparisons reveal a model underestimation of SSA in biomass burning regions for both default and BrC model runs. Global annual average radiative effects are calculated due to aerosol-radiation interactions (REari; 0.13+/-0.021 W m -2), aerosol-cloud interactions (REaci; 0.07+/-0.056 W m -2), and surface albedo change (REsac; -0.06+/-0.035 W m -2). REari is similar to other studies' estimations of BrC direct radiative effect, while REaci indicates a global reduction in low clouds due to the BrC semi-direct effect. REsac suggests increased surface albedo with BrC implementation due to modified snowfall, but does not take into account the warming effect of BrC on snow. Lastly, comparisons of BrC implementation approaches find that this implementation may do a better job of estimating BrC radiative effect in the Arctic regions than previous studies with CESM.

A model of therapist competencies for the empirically supported interpersonal psychotherapy for adolescent depression.

PubMed

Sburlati, Elizabeth S; Lyneham, Heidi J; Mufson, Laura H; Schniering, Carolyn A

2012-06-01

In order to treat adolescent depression, a number of empirically supported treatments (ESTs) have been developed from both the cognitive behavioral therapy (CBT) and interpersonal psychotherapy (IPT-A) frameworks. Research has shown that in order for these treatments to be implemented in routine clinical practice (RCP), effective therapist training must be generated and provided. However, before such training can be developed, a good understanding of the therapist competencies needed to implement these ESTs is required. Sburlati et al. (Clin Child Fam Psychol Rev 14:89-109, 2011) developed a model of therapist competencies for implementing CBT using the well-established Delphi technique. Given that IPT-A differs considerably to CBT, the current study aims to develop a model of therapist competencies for the implementation of IPT-A using a similar procedure as that applied in Sburlati et al. (Clin Child Fam Psychol Rev 14:89-109, 2011). This method involved: (1) identifying and reviewing an empirically supported IPT-A approach, (2) extracting therapist competencies required for the implementation of IPT-A, (3) consulting with a panel of IPT-A experts to generate an overall model of therapist competencies, and (4) validating the overall model with the IPT-A manual author. The resultant model offers an empirically derived set of competencies necessary for effectively treating adolescent depression using IPT-A and has wide implications for the development of therapist training, competence assessment measures, and evidence-based practice guidelines. This model, therefore, provides an empirical framework for the development of dissemination and implementation programs aimed at ensuring that adolescents with depression receive effective care in RCP settings. Key similarities and differences between CBT and IPT-A, and the therapist competencies required for implementing these treatments, are also highlighted throughout this article.

Promoting Teachers' Implementation of Classroom-Based Prevention Programming Through Coaching: The Mediating Role of the Coach-Teacher Relationship.

PubMed

Johnson, Stacy R; Pas, Elise T; Bradshaw, Catherine P; Ialongo, Nicholas S

2018-05-01

There is growing awareness of the importance of implementation fidelity and the supports, such as coaching, to optimize it. This study examined how coaching activities (i.e., check-ins, needs assessment, modeling, and technical assistance) related directly and indirectly to implementation dosage and quality of the PAX Good Behavior Game, via a mediating pathway through working relationship. Mediation analyses of 138 teachers revealed direct effects of modeling and working relationship on implementation dosage, whereas needs assessment was associated with greater dosage indirectly, by higher ratings of the working relationship. Understanding how coaching activities promote implementation fidelity elements has implications for improving program effectiveness.

LES Modeling of Lateral Dispersion in the Ocean on Scales of 10 m to 10 km

DTIC Science & Technology

2015-10-20

ocean on scales of 0.1-10 km that can be implemented in larger-scale ocean models. These parameterizations will incorporate the effects of local...ocean on scales of 0.1-10 km that can be implemented in larger-scale ocean models. These parameterizations will incorporate the effects of local...www.fields.utoronto.ca/video-archive/static/2013/06/166-1766/mergedvideo.ogv) and at the Nonlinear Effects in Internal Waves Conference held at Cornell University

NSR&D FY15 Final Report. Modeling Mechanical, Thermal, and Chemical Effects of Impact

DOE Office of Scientific and Technical Information (OSTI.GOV)

Long, Christopher Curtis; Ma, Xia; Zhang, Duan Zhong

2015-11-02

The main goal of this project is to develop a computer model that explains and predicts coupled mechanical, thermal and chemical responses of HE under impact and friction insults. The modeling effort is based on the LANL-developed CartaBlanca code, which is implemented with the dual domain material point (DDMP) method to calculate complex and coupled thermal, chemical and mechanical effects among fluids, solids and the transitions between the states. In FY 15, we have implemented the TEPLA material model for metal and performed preliminary can penetration simulation and begun to link with experiment. Currently, we are working on implementing amore » shock to detonation transition (SDT) model (SURF) and JWL equation of state.« less

Hysteretic Models Considering Axial-Shear-Flexure Interaction

NASA Astrophysics Data System (ADS)

Ceresa, Paola; Negrisoli, Giorgio

2017-10-01

Most of the existing numerical models implemented in finite element (FE) software, at the current state of the art, are not capable to describe, with enough reliability, the interaction between axial, shear and flexural actions under cyclic loading (e.g. seismic actions), neglecting crucial effects for predicting the nature of the collapse of reinforced concrete (RC) structural elements. Just a few existing 3D volume models or fibre beam models can lead to a quite accurate response, but they are still computationally inefficient for typical applications in earthquake engineering and also characterized by very complex formulation. Thus, discrete models with lumped plasticity hinges may be the preferred choice for modelling the hysteretic behaviour due to cyclic loading conditions, in particular with reference to its implementation in a commercial software package. These considerations lead to this research work focused on the development of a model for RC beam-column elements able to consider degradation effects and interaction between the actions under cyclic loading conditions. In order to develop a model for a general 3D discrete hinge element able to take into account the axial-shear-flexural interaction, it is necessary to provide an implementation which involves a corrector-predictor iterative scheme. Furthermore, a reliable constitutive model based on damage plasticity theory is formulated and implemented for its numerical validation. Aim of this research work is to provide the formulation of a numerical model, which will allow implementation within a FE software package for nonlinear cyclic analysis of RC structural members. The developed model accounts for stiffness degradation effect and stiffness recovery for loading reversal.

An implementation of discrete electron transport models for gold in the Geant4 simulation toolkit

NASA Astrophysics Data System (ADS)

Sakata, D.; Incerti, S.; Bordage, M. C.; Lampe, N.; Okada, S.; Emfietzoglou, D.; Kyriakou, I.; Murakami, K.; Sasaki, T.; Tran, H.; Guatelli, S.; Ivantchenko, V. N.

2016-12-01

Gold nanoparticle (GNP) boosted radiation therapy can enhance the biological effectiveness of radiation treatments by increasing the quantity of direct and indirect radiation-induced cellular damage. As the physical effects of GNP boosted radiotherapy occur across energy scales that descend down to 10 eV, Monte Carlo simulations require discrete physics models down to these very low energies in order to avoid underestimating the absorbed dose and secondary particle generation. Discrete physics models for electron transportation down to 10 eV have been implemented within the Geant4-DNA low energy extension of Geant4. Such models allow the investigation of GNP effects at the nanoscale. At low energies, the new models have better agreement with experimental data on the backscattering coefficient, and they show similar performance for transmission coefficient data as the Livermore and Penelope models already implemented in Geant4. These new models are applicable in simulations focussed towards estimating the relative biological effectiveness of radiation in GNP boosted radiotherapy applications with photon and electron radiation sources.

Model Meets Data: Challenges and Opportunities to Implement Land Management in Earth System Models

NASA Astrophysics Data System (ADS)

Pongratz, J.; Dolman, A. J.; Don, A.; Erb, K. H.; Fuchs, R.; Herold, M.; Jones, C.; Luyssaert, S.; Kuemmerle, T.; Meyfroidt, P.

2016-12-01

Land-based demand for food and fibre is projected to increase in the future. In light of global sustainability challenges only part of this increase will be met by expansion of land use into relatively untouched regions. Additional demand will have to be fulfilled by intensification and other adjustments in management of land that already is under agricultural and forestry use. Such land management today occurs on about half of the ice-free land surface, as compared to only about one quarter that has undergone a change in land cover. As the number of studies revealing substantial biogeophysical and biogeochemical effects of land management is increasing, moving beyond land cover change towards including land management has become a key focus for Earth system modeling. However, a basis for prioritizing land management activities for implementation in models is lacking. We lay this basis for prioritization in a collaborative project across the disciplines of Earth system modeling, land system science, and Earth observation. We first assess the status and plans of implementing land management in Earth system and dynamic global vegetation models. A clear trend towards higher complexity of land use representation is visible. We then assess five criteria for prioritizing the implementation of land management activities: (1) spatial extent, (2) evidence for substantial effects on the Earth system, (3) process understanding, (4) possibility to link the management activity to existing concepts and structures of models, (5) availability of data required as model input. While the first three criteria have been assessed by an earlier study for ten common management activities, we review strategies for implementation in models and the availability of required datasets. We can thus evaluate the management activities for their performance in terms of importance for the Earth system, possibility of technical implementation in models, and data availability. This synthesis reveals some "low-hanging" fruits for model implementation, but also challenges for the assessment of land management effects by modeling. The identified gaps can guide prioritization within the data community from the Earth system and Earth system modeling perspective.

Model meets data: Challenges and opportunities to implement land management in Earth System Models

NASA Astrophysics Data System (ADS)

Pongratz, Julia; Dolman, Han; Don, Axel; Erb, Karl-Heinz; Fuchs, Richard; Herold, Martin; Jones, Chris; Luyssaert, Sebastiaan; Kuemmerle, Tobias; Meyfroidt, Patrick; Naudts, Kim

2017-04-01

Land-based demand for food and fibre is projected to increase in the future. In light of global sustainability challenges only part of this increase will be met by expansion of land use into relatively untouched regions. Additional demand will have to be fulfilled by intensification and other adjustments in management of land that already is under agricultural and forestry use. Such land management today occurs on about half of the ice-free land surface, as compared to only about one quarter that has undergone a change in land cover. As the number of studies revealing substantial biogeophysical and biogeochemical effects of land management is increasing, moving beyond land cover change towards including land management has become a key focus for Earth system modeling. However, a basis for prioritizing land management activities for implementation in models is lacking. We lay this basis for prioritization in a collaborative project across the disciplines of Earth system modeling, land system science, and Earth observation. We first assess the status and plans of implementing land management in Earth system and dynamic global vegetation models. A clear trend towards higher complexity of land use representation is visible. We then assess five criteria for prioritizing the implementation of land management activities: (1) spatial extent, (2) evidence for substantial effects on the Earth system, (3) process understanding, (4) possibility to link the management activity to existing concepts and structures of models, (5) availability of data required as model input. While the first three criteria have been assessed by an earlier study for ten common management activities, we review strategies for implementation in models and the availability of required datasets. We can thus evaluate the management activities for their performance in terms of importance for the Earth system, possibility of technical implementation in models, and data availability. This synthesis reveals some "low-hanging" fruits for model implementation, but also challenges for the assessment of land management effects by modeling. The identified gaps can guide prioritization within the data community from the Earth system and Earth system modeling perspective.

The Effect of Academic Culture on the Implementation of the EFQM Excellence Model in UK Universities

ERIC Educational Resources Information Center

Davies, John; Douglas, Alex; Douglas, Jacqueline

2007-01-01

Purpose: The paper seeks to explore the effect of academic culture on the implementation of the European Foundation for Quality Management's (EFQM) Excellence Model in UK universities. Design/methodology/approach: A literature review reveals several aspects, which collectively define the academic culture in UK universities. These aspects were…

Dissemination of evidence-based practice: can we train therapists from a distance?

PubMed

Vismara, Laurie A; Young, Gregory S; Stahmer, Aubyn C; Griffith, Elizabeth McMahon; Rogers, Sally J

2009-12-01

Although knowledge about the efficacy of behavioral interventions for children with ASD is increasing, studies of effectiveness and transportability to community settings are needed. The current study conducted an effectiveness trial to compare distance learning vs. live instruction for training community-based therapists to implement the Early Start Denver Model. Findings revealed: (a) distance learning and live instruction were equally effective for teaching therapists to both implement the model and to train parents; (b) didactic workshops and team supervision were required to improve therapists' skill use; (c) significant child gains occurred over time and across teaching modalities; and (d) parents implemented the model more skillfully after coaching. Implications are discussed in relation to the economic and clinical utility of distance learning.

Developing an active implementation model for a chronic disease management program.

PubMed

Smidth, Margrethe; Christensen, Morten Bondo; Olesen, Frede; Vedsted, Peter

2013-04-01

Introduction and diffusion of new disease management programs in healthcare is usually slow, but active theory-driven implementation seems to outperform other implementation strategies. However, we have only scarce evidence on the feasibility and real effect of such strategies in complex primary care settings where municipalities, general practitioners and hospitals should work together. The Central Denmark Region recently implemented a disease management program for chronic obstructive pulmonary disease (COPD) which presented an opportunity to test an active implementation model against the usual implementation model. The aim of the present paper is to describe the development of an active implementation model using the Medical Research Council's model for complex interventions and the Chronic Care Model. We used the Medical Research Council's five-stage model for developing complex interventions to design an implementation model for a disease management program for COPD. First, literature on implementing change in general practice was scrutinised and empirical knowledge was assessed for suitability. In phase I, the intervention was developed; and in phases II and III, it was tested in a block- and cluster-randomised study. In phase IV, we evaluated the feasibility for others to use our active implementation model. The Chronic Care Model was identified as a model for designing efficient implementation elements. These elements were combined into a multifaceted intervention, and a timeline for the trial in a randomised study was decided upon in accordance with the five stages in the Medical Research Council's model; this was captured in a PaTPlot, which allowed us to focus on the structure and the timing of the intervention. The implementation strategies identified as efficient were use of the Breakthrough Series, academic detailing, provision of patient material and meetings between providers. The active implementation model was tested in a randomised trial (results reported elsewhere). The combination of the theoretical model for complex interventions and the Chronic Care Model and the chosen specific implementation strategies proved feasible for a practice-based active implementation model for a chronic-disease-management-program for COPD. Using the Medical Research Council's model added transparency to the design phase which further facilitated the process of implementing the program. http://www.clinicaltrials.gov/(NCT01228708).

A modeling framework for evaluating streambank stabilization practices for reach-scale sediment reduction

USDA-ARS?s Scientific Manuscript database

Streambank stabilization techniques are often implemented to reduce sediment loads from unstable streambanks. Process-based models can predict sediment yields with stabilization scenarios prior to implementation. However, a framework does not exist on how to effectively utilize these models to evalu...

Modeling the prediction of business intelligence system effectiveness.

PubMed

Weng, Sung-Shun; Yang, Ming-Hsien; Koo, Tian-Lih; Hsiao, Pei-I

2016-01-01

Although business intelligence (BI) technologies are continually evolving, the capability to apply BI technologies has become an indispensable resource for enterprises running in today's complex, uncertain and dynamic business environment. This study performed pioneering work by constructing models and rules for the prediction of business intelligence system effectiveness (BISE) in relation to the implementation of BI solutions. For enterprises, effectively managing critical attributes that determine BISE to develop prediction models with a set of rules for self-evaluation of the effectiveness of BI solutions is necessary to improve BI implementation and ensure its success. The main study findings identified the critical prediction indicators of BISE that are important to forecasting BI performance and highlighted five classification and prediction rules of BISE derived from decision tree structures, as well as a refined regression prediction model with four critical prediction indicators constructed by logistic regression analysis that can enable enterprises to improve BISE while effectively managing BI solution implementation and catering to academics to whom theory is important.

The Evaluation of Bivariate Mixed Models in Meta-analyses of Diagnostic Accuracy Studies with SAS, Stata and R.

PubMed

Vogelgesang, Felicitas; Schlattmann, Peter; Dewey, Marc

2018-05-01

Meta-analyses require a thoroughly planned procedure to obtain unbiased overall estimates. From a statistical point of view not only model selection but also model implementation in the software affects the results. The present simulation study investigates the accuracy of different implementations of general and generalized bivariate mixed models in SAS (using proc mixed, proc glimmix and proc nlmixed), Stata (using gllamm, xtmelogit and midas) and R (using reitsma from package mada and glmer from package lme4). Both models incorporate the relationship between sensitivity and specificity - the two outcomes of interest in meta-analyses of diagnostic accuracy studies - utilizing random effects. Model performance is compared in nine meta-analytic scenarios reflecting the combination of three sizes for meta-analyses (89, 30 and 10 studies) with three pairs of sensitivity/specificity values (97%/87%; 85%/75%; 90%/93%). The evaluation of accuracy in terms of bias, standard error and mean squared error reveals that all implementations of the generalized bivariate model calculate sensitivity and specificity estimates with deviations less than two percentage points. proc mixed which together with reitsma implements the general bivariate mixed model proposed by Reitsma rather shows convergence problems. The random effect parameters are in general underestimated. This study shows that flexibility and simplicity of model specification together with convergence robustness should influence implementation recommendations, as the accuracy in terms of bias was acceptable in all implementations using the generalized approach. Schattauer GmbH.

Building Sustainable Professional Development Programs: Applying Strategies From Implementation Science to Translate Evidence Into Practice.

PubMed

Baldwin, Constance D; Chandran, Latha; Gusic, Maryellen E

2017-01-01

Multisite and national professional development (PD) programs for educators are challenging to establish. Use of implementation science (IS) frameworks designed to convert evidence-based intervention methods into effective health care practice may help PD developers translate proven educational methods and models into successful, well-run programs. Implementation of the national Educational Scholars Program (ESP) is used to illustrate the value of the IS model. Four adaptable elements of IS are described: (1) replication of an evidence-based model, (2) systematic stages of implementation, (3) management of implementation using three implementation drivers, and (4) demonstration of program success through measures of fidelity to proven models and sustainability. Implementation of the ESP was grounded on five established principles and methods for successful PD. The process was conducted in four IS stages over 10 years: Exploration, Installation, Initial Implementation, and Full Implementation. To ensure effective and efficient processes, attention to IS implementation drivers helped to manage organizational relationships, build competence in faculty and scholars, and address leadership challenges. We describe the ESP's fidelity to evidence-based structures and methods, and offer three examples of sustainability efforts that enabled achievement of targeted program outcomes, including academic productivity, strong networking, and career advancement of scholars. Application of IS frameworks to program implementation may help other PD programs to translate evidence-based methods into interventions with enhanced impact. A PD program can follow systematic developmental stages and be operationalized by practical implementation drivers, thereby creating successful and sustainable interventions that promote the academic vitality of health professions educators.

A model-guided symbolic execution approach for network protocol implementations and vulnerability detection.

PubMed

Wen, Shameng; Meng, Qingkun; Feng, Chao; Tang, Chaojing

2017-01-01

Formal techniques have been devoted to analyzing whether network protocol specifications violate security policies; however, these methods cannot detect vulnerabilities in the implementations of the network protocols themselves. Symbolic execution can be used to analyze the paths of the network protocol implementations, but for stateful network protocols, it is difficult to reach the deep states of the protocol. This paper proposes a novel model-guided approach to detect vulnerabilities in network protocol implementations. Our method first abstracts a finite state machine (FSM) model, then utilizes the model to guide the symbolic execution. This approach achieves high coverage of both the code and the protocol states. The proposed method is implemented and applied to test numerous real-world network protocol implementations. The experimental results indicate that the proposed method is more effective than traditional fuzzing methods such as SPIKE at detecting vulnerabilities in the deep states of network protocol implementations.

Training Professionals to Implement a Group Model for Alleviating Loneliness among Older People--10-Year Follow-Up Study

ERIC Educational Resources Information Center

Jansson, Anu H.; Savikko, Niina M.; Pitkälä, Kaisu H.

2018-01-01

Background and objectives: Although randomized controlled trials (RCTs) have been performed to alleviate loneliness among older people, little is known about how they have been implemented, or whether they are effective in real life. Our RCT-based model, "Circle of Friends" (CoF) proved to be effective in improving the wellbeing, health…

[Implementation and (cost-)effectiveness of case management for people with dementia and their informal caregivers: results of the COMPAS study].

PubMed

van Mierlo, Lisa D; MacNeil-Vroomen, Janet; Meiland, Franka J M; Joling, Karlijn J; Bosmans, Judith E; Dröes, Rose Marie; Moll van Charante, Eric P; de Rooij, Sophia E J A; van Hout, Hein P J

2016-12-01

Different forms of case management for dementia have emerged over the past few years. In the COMPAS study (Collaborative dementia care for patients and caregivers study), two prominent Dutch case management forms were studied: the linkage and the integrated care form. Evaluation of the (cost)effectiveness of two dementia case management forms compared to usual care as well as factors that facilitated or impeded their implementation. A mixed methods design with a) a prospective, observational controlled cohort study with 2 years follow-up among 521 dyads of people with dementia and their primary informal caregiver with and without case management; b) interviews with 22 stakeholders on facilitating and impeding factors of the implementation and continuity of the two case management models. Outcome measures were severity and frequency of behavioural problems (NPI) for the person with dementia and mental health complaints (GHQ-12) for the informal caregiver, total met and unmet care needs (CANE) and quality adjusted life years (QALYs). Outcomes showed a better quality of life of informal caregivers in the integrated model compared to the linkage model. Caregivers in the control group reported more care needs than those in both case management groups. The independence of the case management provider in the integrated model facilitated the implementation, while the rivalry between multiple providers in the linkage model impeded the implementation. The costs of care were lower in the linkage model (minus 22 %) and integrated care model (minus 33 %) compared to the control group. The integrated care form was (very) cost-effective in comparison with the linkage form or no case management. The integrated care form is easy to implement.

Pragmatic trial of a multidisciplinary lung cancer care model in a community healthcare setting: study design, implementation evaluation, and baseline clinical results

PubMed Central

Smeltzer, Matthew P.; Rugless, Fedoria E.; Jackson, Bianca M.; Berryman, Courtney L.; Faris, Nicholas R.; Ray, Meredith A.; Meadows, Meghan; Patel, Anita A.; Roark, Kristina S.; Kedia, Satish K.; DeBon, Margaret M.; Crossley, Fayre J.; Oliver, Georgia; McHugh, Laura M.; Hastings, Willeen; Osborne, Orion; Osborne, Jackie; Ill, Toni; Ill, Mark; Jones, Wynett; Lee, Hyo K.; Signore, Raymond S.; Fox, Roy C.; Li, Jingshan; Robbins, Edward T.; Ward, Kenneth D.; Klesges, Lisa M.

2018-01-01

Background Responsible for 25% of all US cancer deaths, lung cancer presents complex care-delivery challenges. Adoption of the highly recommended multidisciplinary care model suffers from a dearth of good quality evidence. Leading up to a prospective comparative-effectiveness study of multidisciplinary vs. serial care, we studied the implementation of a rigorously benchmarked multidisciplinary lung cancer clinic. Methods We used a mixed-methods approach to conduct a patient-centered, combined implementation and effectiveness study of a multidisciplinary model of lung cancer care. We established a co-located multidisciplinary clinic to study the implementation of this care-delivery model. We identified and engaged key stakeholders from the onset, used their input to develop the program structure, processes, performance benchmarks, and study endpoints (outcome-related process measures, patient- and caregiver-reported outcomes, survival). In this report, we describe the study design, process of implementation, comparative populations, and how they contrast with patients within the local and regional healthcare system. Trial Registration: ClinicalTrials.gov Identifier: NCT02123797. Results Implementation: the multidisciplinary clinic obtained an overall treatment concordance rate of 90% (target >85%). Satisfaction scores were high, with >95% of patients and caregivers rating themselves as being “very satisfied” with all aspects of care from the multidisciplinary team (patient/caregiver response rate >90%). The Reach of the multidisciplinary clinic included a higher proportion of minority patients, more women, and younger patients than the regional population. Comparative effectiveness: The comparative effectiveness trial conducted in the last phase of the study met the planned enrollment per statistical design, with 178 patients in the multidisciplinary arm and 348 in the serial care arm. The multidisciplinary cohort had older age and a higher percentage of racial minorities, with a higher proportion of stage IV patients in the serial care arm. Conclusions This study demonstrates a comprehensive implementation of a multidisciplinary model of lung cancer care, which will advance the science behind implementing this much-advocated clinical care model. PMID:29535915

Implementation of the US EPA (United States Environmental Protection Agency) Regional Oxidant Modeling System

DOE Office of Scientific and Technical Information (OSTI.GOV)

Novak, J.H.

1984-05-01

Model design, implementation and quality assurance procedures can have a significant impact on the effectiveness of long term utility of any modeling approach. The Regional Oxidant Modeling System (ROMS) is exceptionally complex because it treats all chemical and physical processes thought to affect ozone concentration on a regional scale. Thus, to effectively illustrate useful design and implementation techniques, this paper describes the general modeling framework which forms the basis of the ROMS. This framework is flexible enough to allow straightforward update or replacement of the chemical kinetics mechanism and/or any theoretical formulations of the physical processes. Use of the Jacksonmore » Structured Programming (JSP) method to implement this modeling framework has not only increased programmer productivity and quality of the resulting programs, but also has provided standardized program design, dynamic documentation, and easily maintainable and transportable code. A summary of the JSP method is presented to encourage modelers to pursue this technique in their own model development efforts. In addition, since data preparation is such an integral part of a successful modeling system, the ROMS processor network is described with emphasis on the internal quality control techniques.« less

FPGA implementation of a biological neural network based on the Hodgkin-Huxley neuron model.

PubMed

Yaghini Bonabi, Safa; Asgharian, Hassan; Safari, Saeed; Nili Ahmadabadi, Majid

2014-01-01

A set of techniques for efficient implementation of Hodgkin-Huxley-based (H-H) model of a neural network on FPGA (Field Programmable Gate Array) is presented. The central implementation challenge is H-H model complexity that puts limits on the network size and on the execution speed. However, basics of the original model cannot be compromised when effect of synaptic specifications on the network behavior is the subject of study. To solve the problem, we used computational techniques such as CORDIC (Coordinate Rotation Digital Computer) algorithm and step-by-step integration in the implementation of arithmetic circuits. In addition, we employed different techniques such as sharing resources to preserve the details of model as well as increasing the network size in addition to keeping the network execution speed close to real time while having high precision. Implementation of a two mini-columns network with 120/30 excitatory/inhibitory neurons is provided to investigate the characteristic of our method in practice. The implementation techniques provide an opportunity to construct large FPGA-based network models to investigate the effect of different neurophysiological mechanisms, like voltage-gated channels and synaptic activities, on the behavior of a neural network in an appropriate execution time. Additional to inherent properties of FPGA, like parallelism and re-configurability, our approach makes the FPGA-based system a proper candidate for study on neural control of cognitive robots and systems as well.

Increasing In-Service Teacher Implementation of Classroom Management Practices through Consultation, Implementation Planning, and Participant Modeling

ERIC Educational Resources Information Center

Hagermoser Sanetti, Lisa M.; Williamson, Kathleen M.; Long, Anna C. J.; Kratochwill, Thomas R.

2018-01-01

Numerous evidence-based classroom management strategies to prevent and respond to problem behavior have been identified, but research consistently indicates teachers rarely implement them with sufficient implementation fidelity. The purpose of this study was to evaluate the effectiveness of implementation planning, a strategy involving logistical…

Interactive electromagnetic launcher simulation

NASA Astrophysics Data System (ADS)

Young, F. J.; Howland, H. R.; Hughes, W. F.; Fikse, D. A.

1982-01-01

The mathematical model, usage, and documentation of an interactive computer simulation for an electromagnetic launcher is presented. The launcher is modeled as an electrical circuit. Three slight variations of the program permit studies of a launcher with (1) rail skin effects, (2) rail skin effects and approximated storage coil skin effects, or (3) neither of these effects. Usage of the program as currently implemented on the Westinghouse R&D Univac 1106 is described, with a sample session shown. The implementation of the program permits rapid scoping of the effects of parameter changes.

The meaning and measurement of implementation climate

PubMed Central

2011-01-01

Background Climate has a long history in organizational studies, but few theoretical models integrate the complex effects of climate during innovation implementation. In 1996, a theoretical model was proposed that organizations could develop a positive climate for implementation by making use of various policies and practices that promote organizational members' means, motives, and opportunities for innovation use. The model proposes that implementation climate--or the extent to which organizational members perceive that innovation use is expected, supported, and rewarded--is positively associated with implementation effectiveness. The implementation climate construct holds significant promise for advancing scientific knowledge about the organizational determinants of innovation implementation. However, the construct has not received sufficient scholarly attention, despite numerous citations in the scientific literature. In this article, we clarify the meaning of implementation climate, discuss several measurement issues, and propose guidelines for empirical study. Discussion Implementation climate differs from constructs such as organizational climate, culture, or context in two important respects: first, it has a strategic focus (implementation), and second, it is innovation-specific. Measuring implementation climate is challenging because the construct operates at the organizational level, but requires the collection of multi-dimensional perceptual data from many expected innovation users within an organization. In order to avoid problems with construct validity, assessments of within-group agreement of implementation climate measures must be carefully considered. Implementation climate implies a high degree of within-group agreement in climate perceptions. However, researchers might find it useful to distinguish implementation climate level (the average of implementation climate perceptions) from implementation climate strength (the variability of implementation climate perceptions). It is important to recognize that the implementation climate construct applies most readily to innovations that require collective, coordinated behavior change by many organizational members both for successful implementation and for realization of anticipated benefits. For innovations that do not possess these attributes, individual-level theories of behavior change could be more useful in explaining implementation effectiveness. Summary This construct has considerable value in implementation science, however, further debate and development is necessary to refine and distinguish the construct for empirical use. PMID:21781328

Developing an active implementation model for a chronic disease management program

PubMed Central

Smidth, Margrethe; Christensen, Morten Bondo; Olesen, Frede; Vedsted, Peter

2013-01-01

Background Introduction and diffusion of new disease management programs in healthcare is usually slow, but active theory-driven implementation seems to outperform other implementation strategies. However, we have only scarce evidence on the feasibility and real effect of such strategies in complex primary care settings where municipalities, general practitioners and hospitals should work together. The Central Denmark Region recently implemented a disease management program for chronic obstructive pulmonary disease (COPD) which presented an opportunity to test an active implementation model against the usual implementation model. The aim of the present paper is to describe the development of an active implementation model using the Medical Research Council’s model for complex interventions and the Chronic Care Model. Methods We used the Medical Research Council’s five-stage model for developing complex interventions to design an implementation model for a disease management program for COPD. First, literature on implementing change in general practice was scrutinised and empirical knowledge was assessed for suitability. In phase I, the intervention was developed; and in phases II and III, it was tested in a block- and cluster-randomised study. In phase IV, we evaluated the feasibility for others to use our active implementation model. Results The Chronic Care Model was identified as a model for designing efficient implementation elements. These elements were combined into a multifaceted intervention, and a timeline for the trial in a randomised study was decided upon in accordance with the five stages in the Medical Research Council’s model; this was captured in a PaTPlot, which allowed us to focus on the structure and the timing of the intervention. The implementation strategies identified as efficient were use of the Breakthrough Series, academic detailing, provision of patient material and meetings between providers. The active implementation model was tested in a randomised trial (results reported elsewhere). Conclusion The combination of the theoretical model for complex interventions and the Chronic Care Model and the chosen specific implementation strategies proved feasible for a practice-based active implementation model for a chronic-disease-management-program for COPD. Using the Medical Research Council’s model added transparency to the design phase which further facilitated the process of implementing the program. Trial registration: http://www.clinicaltrials.gov/(NCT01228708). PMID:23882169

Scale effect challenges in urban hydrology highlighted with a Fully Distributed Model and High-resolution rainfall data

NASA Astrophysics Data System (ADS)

Ichiba, Abdellah; Gires, Auguste; Tchiguirinskaia, Ioulia; Schertzer, Daniel; Bompard, Philippe; Ten Veldhuis, Marie-Claire

2017-04-01

Nowadays, there is a growing interest on small-scale rainfall information, provided by weather radars, to be used in urban water management and decision-making. Therefore, an increasing interest is in parallel devoted to the development of fully distributed and grid-based models following the increase of computation capabilities, the availability of high-resolution GIS information needed for such models implementation. However, the choice of an appropriate implementation scale to integrate the catchment heterogeneity and the whole measured rainfall variability provided by High-resolution radar technologies still issues. This work proposes a two steps investigation of scale effects in urban hydrology and its effects on modeling works. In the first step fractal tools are used to highlight the scale dependency observed within distributed data used to describe the catchment heterogeneity, both the structure of the sewer network and the distribution of impervious areas are analyzed. Then an intensive multi-scale modeling work is carried out to understand scaling effects on hydrological model performance. Investigations were conducted using a fully distributed and physically based model, Multi-Hydro, developed at Ecole des Ponts ParisTech. The model was implemented at 17 spatial resolutions ranging from 100 m to 5 m and modeling investigations were performed using both rain gauge rainfall information as well as high resolution X band radar data in order to assess the sensitivity of the model to small scale rainfall variability. Results coming out from this work demonstrate scale effect challenges in urban hydrology modeling. In fact, fractal concept highlights the scale dependency observed within distributed data used to implement hydrological models. Patterns of geophysical data change when we change the observation pixel size. The multi-scale modeling investigation performed with Multi-Hydro model at 17 spatial resolutions confirms scaling effect on hydrological model performance. Results were analyzed at three ranges of scales identified in the fractal analysis and confirmed in the modeling work. The sensitivity of the model to small-scale rainfall variability was discussed as well.

Hierarchical spatial capture-recapture models: Modeling population density from stratified populations

USGS Publications Warehouse

Royle, J. Andrew; Converse, Sarah J.

2014-01-01

Capture–recapture studies are often conducted on populations that are stratified by space, time or other factors. In this paper, we develop a Bayesian spatial capture–recapture (SCR) modelling framework for stratified populations – when sampling occurs within multiple distinct spatial and temporal strata.We describe a hierarchical model that integrates distinct models for both the spatial encounter history data from capture–recapture sampling, and also for modelling variation in density among strata. We use an implementation of data augmentation to parameterize the model in terms of a latent categorical stratum or group membership variable, which provides a convenient implementation in popular BUGS software packages.We provide an example application to an experimental study involving small-mammal sampling on multiple trapping grids over multiple years, where the main interest is in modelling a treatment effect on population density among the trapping grids.Many capture–recapture studies involve some aspect of spatial or temporal replication that requires some attention to modelling variation among groups or strata. We propose a hierarchical model that allows explicit modelling of group or strata effects. Because the model is formulated for individual encounter histories and is easily implemented in the BUGS language and other free software, it also provides a general framework for modelling individual effects, such as are present in SCR models.

Setting Strategic Directions Using Critical Success Factors.

ERIC Educational Resources Information Center

Bourne, Bonnie; Gates, Larry; Cofer, James

2000-01-01

Describes implementation of a system-level planning model focused on institutional improvement and effectiveness at the University of Missouri. Details implementation of three phases of the strategic planning model (strategic analysis, strategic thinking/decision-making, and campus outreach/systems administration planning); identifies critical…

The Effects of Fluency Training on Implementation Fidelity of a Reading Intervention Conducted by Paraprofessionals

ERIC Educational Resources Information Center

O'Keeffe, Breda Victoria

2009-01-01

Improving educational outcomes involves many variables, including identifying effective interventions and ensuring that they are effectively implemented in schools. Within a "response to intervention" model, treatment integrity of academic interventions has become increasingly important. However, recent research has suggested that…

Implementation strategies for collaborative primary care-mental health models.

PubMed

Franx, Gerdien; Dixon, Lisa; Wensing, Michel; Pincus, Harold

2013-09-01

Extensive research exists that collaborative primary care-mental health models can improve care and outcomes for patients. These programs are currently being implemented throughout the United States and beyond. The purpose of this study is to review the literature and to generate an overview of strategies currently used to implement such models in daily practice. Six overlapping strategies to implement collaborative primary care-mental health models were described in 18 selected studies. We identified interactive educational strategies, quality improvement change processes, technological support tools, stakeholder engagement in the design and execution of implementation plans, organizational changes in terms of expanding the task of nurses and financial strategies such as additional collaboration fees and pay for performance incentives. Considering the overwhelming evidence about the effectiveness of primary care-mental health models, there is a lack of good studies focusing on their implementation strategies. In practice, these strategies are multifaceted and locally defined, as a result of intensive and required stakeholder engagement. Although many barriers still exist, the implementation of collaborative models could have a chance to succeed in the United States, where new service delivery and payment models, such as the Patient-Centered Medical Home, the Health Home and the Accountable Care Organization, are being promoted.

Cost-effectiveness analysis of neonatal hearing screening program in China: should universal screening be prioritized?

PubMed

Huang, Li-Hui; Zhang, Luo; Tobe, Ruo-Yan Gai; Qi, Fang-Hua; Sun, Long; Teng, Yue; Ke, Qing-Lin; Mai, Fei; Zhang, Xue-Feng; Zhang, Mei; Yang, Ru-Lan; Tu, Lin; Li, Hong-Hui; Gu, Yan-Qing; Xu, Sai-Nan; Yue, Xiao-Yan; Li, Xiao-Dong; Qi, Bei-Er; Cheng, Xiao-Huan; Tang, Wei; Xu, Ling-Zhong; Han, De-Min

2012-04-17

Neonatal hearing screening (NHS) has been routinely offered as a vital component of early childhood care in developed countries, whereas such a screening program is still at the pilot or preliminary stage as regards its nationwide implementation in developing countries. To provide significant evidence for health policy making in China, this study aims to determine the cost-effectiveness of NHS program implementation in case of eight provinces of China. A cost-effectiveness model was conducted and all neonates annually born from 2007 to 2009 in eight provinces of China were simulated in this model. The model parameters were estimated from the established databases in the general hospitals or maternal and child health hospitals of these eight provinces, supplemented from the published literature. The model estimated changes in program implementation costs, disability-adjusted life years (DALYs), average cost-effectiveness ratio (ACER), and incremental cost-effectiveness ratio (ICER) for universal screening compared to targeted screening in eight provinces. A multivariate sensitivity analysis was performed to determine uncertainty in health effect estimates and cost-effectiveness ratios using a probabilistic modeling technique. Targeted strategy trended to be cost-effective in Guangxi, Jiangxi, Henan, Guangdong, Zhejiang, Hebei, Shandong, and Beijing from the level of 9%, 9%, 8%, 4%, 3%, 7%, 5%, and 2%, respectively; while universal strategy trended to be cost-effective in those provinces from the level of 70%, 70%, 48%, 10%, 8%, 28%, 15%, 4%, respectively. This study showed although there was a huge disparity in the implementation of the NHS program in the surveyed provinces, both universal strategy and targeted strategy showed cost-effectiveness in those relatively developed provinces, while neither of the screening strategy showed cost-effectiveness in those relatively developing provinces. This study also showed that both strategies especially universal strategy achieve a good economic effect in the long term costs. Universal screening might be considered as the prioritized implementation goal especially in those relatively developed provinces of China as it provides the best health and economic effects, while targeted screening might be temporarily more realistic than universal screening in those relatively developing provinces of China.

Community characteristics and implementation factors associated with effective systems of care.

PubMed

Lunn, Laurel M; Heflinger, Craig Anne; Wang, Wei; Greenbaum, Paul E; Kutash, Krista; Boothroyd, Roger A; Friedman, Robert M

2011-07-01

How are characteristics of communities associated with the implementation of the principles of systems of care (SOC)? This study uses multilevel modeling with a stratified random sample (N = 225) of US counties to explore community-level predictors of the implementation factors of the System of Care Implementation Survey. A model composed of community-level social indicators fits well with 5 of 14 factors identified as relevant for effective SOCs. As hypothesized, community disadvantage was negatively and residential stability positively associated with the implementation of SOC principles. Designation as a mental health professional shortage area was positively related to some implementation scores, as was the percentage of minority residents, while rurality was not significantly associated with any of the factors. Given the limitations of the study, the results should be interpreted with caution, but suggest that further research is merited to clarify these relationships that could inform efforts directed at promoting SOCs.

Changing practice to support self-management and recovery in mental illness: application of an implementation model.

PubMed

Harris, Melanie; Jones, Phil; Heartfield, Marie; Allstrom, Mary; Hancock, Janette; Lawn, Sharon; Battersby, Malcolm

2015-01-01

Health services introducing practice changes need effective implementation methods. Within the setting of a community mental health service offering recovery-oriented psychosocial support for people with mental illness, we aimed to: (i) identify a well-founded implementation model; and (ii) assess its practical usefulness in introducing a new programme for recovery-oriented self-management support. We reviewed the literature to identify implementation models applicable to community mental health organisations, and that also had corresponding measurement tools. We used one of these models to inform organisational change strategies. The literature review showed few models with corresponding tools. The Promoting Action on Research Implementation in Health Services (PARIHS) model and the related Organisational Readiness to Change Assessment (ORCA) tool were used. The PARIHS proposes prerequisites for health service change and the ORCA measures the extent to which these prerequisites are present. Application of the ORCA at two time points during implementation of the new programme showed strategy-related gains for some prerequisites but not for others, reflecting observed implementation progress. Additional strategies to address target prerequisites could be drawn from the PARIHS model. The PARIHS model and ORCA tool have potential in designing and monitoring practice change strategies in community mental health organisations. Further practical use and testing of implementation models appears justified in overcoming barriers to change.

Translating Pressure Ulcer Prevention Into Intensive Care Nursing Practice: Overlaying a Care Bundle Approach With a Model for Research Implementation.

PubMed

Tayyib, Nahla; Coyer, Fiona

This article reports on the development and implementation process used to integrate a care bundle approach (a pressure ulcer [PU] prevention bundle to improve patients' skin integrity in intensive care) and the Ottawa Model of Research Use (OMRU). The PU prevention care bundle demonstrated significant reduction in PU incidence, with the OMRU model providing a consolidated framework for the implementation of bundled evidence in an effective and consistent manner into daily clinical nursing practice.

Changing the world: the design and implementation of comprehensive continuous integrated systems of care for individuals with co-occurring disorders.

PubMed

Minkoff, Kenneth; Cline, Christie A

2004-12-01

This article has described the CCISC model and the process of implementation of systemic implementation of co-occurring disorder services enhancements within the context of existing resources. Four projects were described as illustrations of current implementation activities. Clearly, there is need for improved services for these individuals, and increasing recognition of the need for systemic change models that are effective and efficient. The CCISC model has been recognized by SAMHSA as a consensus best practice for system design, and initial efforts at implementation appear to be promising. The existing toolkit may permit a more formal process of data-driven evaluation of system, program, clinician, and client outcomes, to better measure the effectiveness of this approach. Some projects have begun such formal evaluation processes, but more work is needed, not only with individual projects, but also to develop opportunities for multi-system evaluation, as more projects come on line.

System dynamic modeling on construction waste management in Shenzhen, China.

PubMed

Tam, Vivian W Y; Li, Jingru; Cai, Hong

2014-05-01

This article examines the complexity of construction waste management in Shenzhen, Mainland China. In-depth analysis of waste generation, transportation, recycling, landfill and illegal dumping of various inherent management phases is explored. A system dynamics modeling using Stella model is developed. Effects of landfill charges and also penalties from illegal dumping are also simulated. The results show that the implementation of comprehensive policy on both landfill charges and illegal dumping can effectively control the illegal dumping behavior, and achieve comprehensive construction waste minimization. This article provides important recommendations for effective policy implementation and explores new perspectives for Shenzhen policy makers.

Practical Approaches for Achieving Integrated Behavioral Health Care in Primary Care Settings

PubMed Central

Ratzliff, Anna; Phillips, Kathryn E.; Sugarman, Jonathan R.; Unützer, Jürgen; Wagner, Edward H.

2016-01-01

Behavioral health problems are common, yet most patients do not receive effective treatment in primary care settings. Despite availability of effective models for integrating behavioral health care in primary care settings, uptake has been slow. The Behavioral Health Integration Implementation Guide provides practical guidance for adapting and implementing effective integrated behavioral health care into patient-centered medical homes. The authors gathered input from stakeholders involved in behavioral health integration efforts: safety net providers, subject matter experts in primary care and behavioral health, a behavioral health patient and peer specialist, and state and national policy makers. Stakeholder input informed development of the Behavioral Health Integration Implementation Guide and the GROW Pathway Planning Worksheet. The Behavioral Health Integration Implementation Guide is model neutral and allows organizations to take meaningful steps toward providing integrated care that achieves access and accountability. PMID:26698163

Practical Approaches for Achieving Integrated Behavioral Health Care in Primary Care Settings.

PubMed

Ratzliff, Anna; Phillips, Kathryn E; Sugarman, Jonathan R; Unützer, Jürgen; Wagner, Edward H

Behavioral health problems are common, yet most patients do not receive effective treatment in primary care settings. Despite availability of effective models for integrating behavioral health care in primary care settings, uptake has been slow. The Behavioral Health Integration Implementation Guide provides practical guidance for adapting and implementing effective integrated behavioral health care into patient-centered medical homes. The authors gathered input from stakeholders involved in behavioral health integration efforts: safety net providers, subject matter experts in primary care and behavioral health, a behavioral health patient and peer specialist, and state and national policy makers. Stakeholder input informed development of the Behavioral Health Integration Implementation Guide and the GROW Pathway Planning Worksheet. The Behavioral Health Integration Implementation Guide is model neutral and allows organizations to take meaningful steps toward providing integrated care that achieves access and accountability.

Evaluation of the cold weather plan for England: modelling of cost-effectiveness.

PubMed

Chalabi, Z; Hajat, S; Wilkinson, P; Erens, B; Jones, L; Mays, N

2016-08-01

To determine the conditions under which the Cold Weather Plan (CWP) for England is likely to prove cost-effective in order to inform the development of the CWP in the short term before direct data on costs and benefits can be collected. Mathematical modelling study undertaken in the absence of direct epidemiological evidence on the effect of the CWP in reducing cold-related mortality and morbidity, and limited data or on its costs. The model comprised a simulated temperature time series based on historical data; epidemiologically-derived relationships between temperature, and mortality and morbidity; and information on baseline unit costs of contacts with health care and community care services. Cost-effectiveness was assessed assuming varying levels of protection against cold-related burdens, coverage of the vulnerable population and willingness-to-pay criteria. Simulations showed that the CWP is likely to be cost effective under some scenarios at the high end of the willingness to pay threshold used by National Institute for Health and Care Excellence (NICE) in England, but these results are sensitive to assumptions about the extent of implementation of the CWP at local level, and its assumed effectiveness when implemented. The incremental cost-effectiveness ratio varied from £29,754 to £75,875 per Quality Adjusted Life Year (QALY) gained. Conventional cost-effectiveness (<£30,000/QALY) was reached only when effective targeting of at-risk groups was assumed (i.e. need for low coverage (∼5%) of the population for targeted actions) and relatively high assumed effectiveness (>15%) in avoiding deaths and hospital admissions. Although the modelling relied on a large number of assumptions, this type of modelling is useful for understanding whether, and in what circumstances, untested plans are likely to be cost-effective before they are implemented and in the early period of implementation before direct data on cost-effectiveness have accrued. Steps can then be taken to optimize the relevant parameters as far as practicable during the early implementation period. Copyright © 2015 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Implementation and evaluation of PM2.5 source contribution analysis in a photochemical model

EPA Science Inventory

Source culpability assessments are useful for developing effective emissions control programs. The Integrated Source Apportionment Method (ISAM) has been implemented in the Community Multiscale Air Quality (CMAQ) model to track contributions from source groups and regions to ambi...

A comparison of two coaching approaches to enhance implementation of a recovery-oriented service model.

PubMed

Deane, Frank P; Andresen, Retta; Crowe, Trevor P; Oades, Lindsay G; Ciarrochi, Joseph; Williams, Virginia

2014-09-01

Moving to recovery-oriented service provision in mental health may entail retraining existing staff, as well as training new staff. This represents a substantial burden on organisations, particularly since transfer of training into practice is often poor. Follow-up supervision and/or coaching have been found to improve the implementation and sustainment of new approaches. We compared the effect of two coaching conditions, skills-based and transformational coaching, on the implementation of a recovery-oriented model following training. Training followed by coaching led to significant sustained improvements in the quality of care planning in accordance with the new model over the 12-month study period. No interaction effect was observed between the two conditions. However, post hoc analyses suggest that transformational coaching warrants further exploration. The results support the provision of supervision in the form of coaching in the implementation of a recovery-oriented service model, and suggest the need to better elucidate the mechanisms within different coaching approaches that might contribute to improved care.

Implementation of a mezzo-level HOV carpool model for Texas. Final report, September 1986-April 1990

DOE Office of Scientific and Technical Information (OSTI.GOV)

Benson, J.D.; Mullins, J.A.; Stokes, R.W.

1989-11-01

The report presents the results of an evaluation and adaptation of three existing high-occupancy vehicle (HOV) lane carpool demand estimation models for possible use in Houston and other large Texas cities. These models use trip tables, networks and zone structures that are consistent with the regional travel demand modeling process currently in use in Texas. By implementing the HOV carpool models in a structure that is consistent with the regional travel demand modeling process, it is possible to estimate the carpool demand for an HOV facility and to evaluate the effects of the following changes in HOV lane configuration andmore » operating strategies: (1) Effects of additional and/or alternative access points; (2) Effects of extending and HOV lane; and (3) Effects of changing the definition of eligible HOV carpools. The models have produced promising results in test applications in Houston.« less

Professional Learning Communities: An Effective Mechanism for the Successful Implementation and Sustainability of Response to Intervention

ERIC Educational Resources Information Center

Mundschenk, Nancy A.; Fuchs, Wendy W.

2016-01-01

Models of response to intervention (RtI) are being widely implemented in schools across the country in order to increase effective teaching and remove barriers to student learning. The implementation of RtI is greatly facilitated when teachers and staff see themselves as a professional learning community (PLC). This article begins with an…

Feedbacks between air pollution and weather, Part 1: Effects on weather

NASA Astrophysics Data System (ADS)

Makar, P. A.; Gong, W.; Milbrandt, J.; Hogrefe, C.; Zhang, Y.; Curci, G.; Žabkar, R.; Im, U.; Balzarini, A.; Baró, R.; Bianconi, R.; Cheung, P.; Forkel, R.; Gravel, S.; Hirtl, M.; Honzak, L.; Hou, A.; Jiménez-Guerrero, P.; Langer, M.; Moran, M. D.; Pabla, B.; Pérez, J. L.; Pirovano, G.; San José, R.; Tuccella, P.; Werhahn, J.; Zhang, J.; Galmarini, S.

2015-08-01

The meteorological predictions of fully coupled air-quality models running in ;feedback; versus ;no-feedback; simulations were compared against each other and observations as part of Phase 2 of the Air Quality Model Evaluation International Initiative. In the ;no-feedback; mode, the aerosol direct and indirect effects were disabled, with the models reverting to either climatologies of aerosol properties, or a no-aerosol weather simulation. In the ;feedback; mode, the model-generated aerosols were allowed to modify the radiative transfer and/or cloud formation parameterizations of the respective models. Annual simulations with and without feedbacks were conducted on domains over North America for the years 2006 and 2010, and over Europe for the year 2010. The incorporation of feedbacks was found to result in systematic changes to forecast predictions of meteorological variables, both in time and space, with the largest impacts occurring in the summer and near large sources of pollution. Models incorporating only the aerosol direct effect predicted feedback-induced reductions in temperature, surface downward and upward shortwave radiation, precipitation and PBL height, and increased upward shortwave radiation, in both Europe and North America. The feedback response of models incorporating both the aerosol direct and indirect effects varied across models, suggesting the details of implementation of the indirect effect have a large impact on model results, and hence should be a focus for future research. The feedback response of models incorporating both direct and indirect effects was also consistently larger in magnitude to that of models incorporating the direct effect alone, implying that the indirect effect may be the dominant process. Comparisons across modelling platforms suggested that direct and indirect effect feedbacks may often act in competition: the sign of residual changes associated with feedbacks often changed between those models incorporating the direct effect alone versus those incorporating both feedback processes. Model comparisons to observations for no-feedback and feedback implementations of the same model showed that differences in performance between models were larger than the performance changes associated with implementing feedbacks within a given model. However, feedback implementation was shown to result in improved forecasts of meteorological parameters such as the 2 m surface temperature and precipitation. These findings suggest that meteorological forecasts may be improved through the use of fully coupled feedback models, or through incorporation of improved climatologies of aerosol properties, the latter designed to include spatial, temporal and aerosol size and/or speciation variations.

Curved Thermopiezoelectric Shell Structures Modeled by Finite Element Analysis

NASA Technical Reports Server (NTRS)

Lee, Ho-Jun

2000-01-01

"Smart" structures composed of piezoelectric materials may significantly improve the performance of aeropropulsion systems through a variety of vibration, noise, and shape-control applications. The development of analytical models for piezoelectric smart structures is an ongoing, in-house activity at the NASA Glenn Research Center at Lewis Field focused toward the experimental characterization of these materials. Research efforts have been directed toward developing analytical models that account for the coupled mechanical, electrical, and thermal response of piezoelectric composite materials. Current work revolves around implementing thermal effects into a curvilinear-shell finite element code. This enhances capabilities to analyze curved structures and to account for coupling effects arising from thermal effects and the curved geometry. The current analytical model implements a unique mixed multi-field laminate theory to improve computational efficiency without sacrificing accuracy. The mechanics can model both the sensory and active behavior of piezoelectric composite shell structures. Finite element equations are being implemented for an eight-node curvilinear shell element, and numerical studies are being conducted to demonstrate capabilities to model the response of curved piezoelectric composite structures (see the figure).

THE EFFECTS OF VIDEO MODELING WITH VOICEOVER INSTRUCTION ON ACCURATE IMPLEMENTATION OF DISCRETE-TRIAL INSTRUCTION

PubMed Central

Vladescu, Jason C; Carroll, Regina; Paden, Amber; Kodak, Tiffany M

2012-01-01

The present study replicates and extends previous research on the use of video modeling (VM) with voiceover instruction to train staff to implement discrete-trial instruction (DTI). After staff trainees reached the mastery criterion when teaching an adult confederate with VM, they taught a child with a developmental disability using DTI. The results showed that the staff trainees' accurate implementation of DTI remained high, and both child participants acquired new skills. These findings provide additional support that VM may be an effective method to train staff members to conduct DTI. PMID:22844149

The effects of video modeling with voiceover instruction on accurate implementation of discrete-trial instruction.

PubMed

Vladescu, Jason C; Carroll, Regina; Paden, Amber; Kodak, Tiffany M

2012-01-01

The present study replicates and extends previous research on the use of video modeling (VM) with voiceover instruction to train staff to implement discrete-trial instruction (DTI). After staff trainees reached the mastery criterion when teaching an adult confederate with VM, they taught a child with a developmental disability using DTI. The results showed that the staff trainees' accurate implementation of DTI remained high, and both child participants acquired new skills. These findings provide additional support that VM may be an effective method to train staff members to conduct DTI.

Strengthening organizations to implement evidence-based clinical practices.

PubMed

VanDeusen Lukas, Carol; Engle, Ryann L; Holmes, Sally K; Parker, Victoria A; Petzel, Robert A; Nealon Seibert, Marjorie; Shwartz, Michael; Sullivan, Jennifer L

2010-01-01

Despite recognition that implementation of evidence-based clinical practices (EBPs) usually depends on the structure and processes of the larger health care organizational context, the dynamics of implementation are not well understood. This project's aim was to deepen that understanding by implementing and evaluating an organizational model hypothesized to strengthen the ability of health care organizations to facilitate EBPs. CONCEPTUAL MODEL: The model posits that implementation of EBPs will be enhanced through the presence of three interacting components: active leadership commitment to quality, robust clinical process redesign incorporating EBPs into routine operations, and use of management structures and processes to support and align redesign. In a mixed-methods longitudinal comparative case study design, seven medical centers in one network in the Department of Veterans Affairs participated in an intervention to implement the organizational model over 3 years. The network was selected randomly from three interested in using the model. The target EBP was hand-hygiene compliance. Measures included ratings of implementation fidelity, observed hand-hygiene compliance, and factors affecting model implementation drawn from interviews. Analyses support the hypothesis that greater fidelity to the organizational model was associated with higher compliance with hand-hygiene guidelines. High-fidelity sites showed larger effect sizes for improvement in hand-hygiene compliance than lower-fidelity sites. Adherence to the organizational model was in turn affected by factors in three categories: urgency to improve, organizational environment, and improvement climate. Implementation of EBPs, particularly those that cut across multiple processes of care, is a complex process with many possibilities for failure. The results provide the basis for a refined understanding of relationships among components of the organizational model and factors in the organizational context affecting them. This understanding suggests practical lessons for future implementation efforts and contributes to theoretical understanding of the dynamics of the implementation of EBPs.

FPGA implementation of a biological neural network based on the Hodgkin-Huxley neuron model

PubMed Central

Yaghini Bonabi, Safa; Asgharian, Hassan; Safari, Saeed; Nili Ahmadabadi, Majid

2014-01-01

A set of techniques for efficient implementation of Hodgkin-Huxley-based (H-H) model of a neural network on FPGA (Field Programmable Gate Array) is presented. The central implementation challenge is H-H model complexity that puts limits on the network size and on the execution speed. However, basics of the original model cannot be compromised when effect of synaptic specifications on the network behavior is the subject of study. To solve the problem, we used computational techniques such as CORDIC (Coordinate Rotation Digital Computer) algorithm and step-by-step integration in the implementation of arithmetic circuits. In addition, we employed different techniques such as sharing resources to preserve the details of model as well as increasing the network size in addition to keeping the network execution speed close to real time while having high precision. Implementation of a two mini-columns network with 120/30 excitatory/inhibitory neurons is provided to investigate the characteristic of our method in practice. The implementation techniques provide an opportunity to construct large FPGA-based network models to investigate the effect of different neurophysiological mechanisms, like voltage-gated channels and synaptic activities, on the behavior of a neural network in an appropriate execution time. Additional to inherent properties of FPGA, like parallelism and re-configurability, our approach makes the FPGA-based system a proper candidate for study on neural control of cognitive robots and systems as well. PMID:25484854

Effects of stream topology on ecological community results from neutral models

EPA Science Inventory

While neutral theory and models have stimulated considerable literature, less well investigated is the effect of topology on neutral metacommunity model simulations. We implemented a neutral metacommunity model using two different stream network topologies, a widely branched netw...

Supporting Parent Engagement in Programme-Wide Behavioural Intervention Implementation

ERIC Educational Resources Information Center

Cummings, Katrina P.

2017-01-01

Positive behaviour intervention and support (PBIS) models are evolving as an effective means to promote social and emotional competence among young children and address challenging behaviours. This study was designed to gain insights into parental involvement in programme-wide implementation of the "Pyramid" model. Interviews were…

Legislative and Policy Developments and Imperatives for Advancing the Primary Care Behavioral Health (PCBH) Model.

PubMed

Freeman, Dennis S; Hudgins, Cathy; Hornberger, Joel

2018-06-01

The Primary Care Behavioral Health (PCBH) practice model continues to gain converts among primary care and behavioral health professionals as the evidence supporting its effectiveness continues to accumulate. Despite a growing number of practices and organizations using the model effectively, widespread implementation has been hampered by outmoded policies and regulatory barriers. As policymakers and legislators begin to recognize the contributions that PCBH model services make to the care of complex patients and the expansion of access to those in need of behavioral health interventions, some encouraging policy initiatives are emerging and the policy environment is becoming more favorable to implementation of the PCBH model. This article outlines the necessity for policy change, exposing the policy issues and barriers that serve to limit the practice of the PCBH model; highlights innovative approaches some states are taking to foster integrated practice; and discusses the compatibility of the PCBH model with the nation's health care reform agenda. Psychologists have emerged as leaders in the design and implementation of PCBH model integration and are encouraged to continue to advance the model through the demonstration of efficient and effective clinical practice, participation in the expansion of an appropriately trained workforce, and advocacy for the inclusion of this practice model in emerging healthcare systems and value-based payment methodologies.

Road Map to Statewide Implementation of the Pyramid Model. Roadmap to Effective Intervention Practices #6

ERIC Educational Resources Information Center

Dunlap, Glen; Smith, Barbara J.; Fox, Lise; Blase, Karen

2014-01-01

This document is a guide--a "Road Map"--for implementing widespread use of the Pyramid Model for Promoting Social Emotional Competence in Infants and Young Children (http://www.challengingbehavior.org/do/pyramid_model. htm). It is a road map of systems change. The Road Map is written for statewide systems change, although it could be…

Scaling the Pyramid Model across Complex Systems Providing Early Care for Preschoolers: Exploring How Models for Decision Making May Enhance Implementation Science

ERIC Educational Resources Information Center

Johnson, LeAnne D.

2017-01-01

Bringing effective practices to scale across large systems requires attending to how information and belief systems come together in decisions to adopt, implement, and sustain those practices. Statewide scaling of the Pyramid Model, a framework for positive behavior intervention and support, across different types of early childhood programs…

A Practitioner's Handbook for Institutional Effectiveness and Student Outcomes Assessment Implementation. Third Edition.

ERIC Educational Resources Information Center

Nichols, James O.

This guide is intended for college and university administrators responsible for designing and implementing a model for assessment of student outcomes and institutional effectiveness. The first chapter explains use of the handbook and introduces the institutional effectiveness paradigm on which it is based. The second chapter explains the model…

Patient-centered medical home implementation and primary care provider turnover.

PubMed

Sylling, Philip W; Wong, Edwin S; Liu, Chuan-Fen; Hernandez, Susan E; Batten, Adam J; Helfrich, Christian D; Nelson, Karin; Fihn, Stephan D; Hebert, Paul L

2014-12-01

The Veterans Health Administration (VHA) began implementing a patient-centered medical home (PCMH) model of care delivery in April 2010 through its Patient Aligned Care Team (PACT) initiative. PACT represents a substantial system reengineering of VHA primary care and its potential effect on primary care provider (PCP) turnover is an important but unexplored relationship. This study examined the association between a system-wide PCMH implementation and PCP turnover. This was a retrospective, longitudinal study of VHA-employed PCPs spanning 29 calendar quarters before PACT and eight quarters of PACT implementation. PCP employment periods were identified from administrative data and turnover was defined by an indicator on the last quarter of each uncensored period. An interrupted time series model was used to estimate the association between PACT and turnover, adjusting for secular trend and seasonality, provider and job characteristics, and local unemployment. We calculated average marginal effects (AME), which reflected the change in turnover probability associated with PACT implementation. The quarterly rate of PCP turnover was 3.06% before PACT and 3.38% after initiation of PACT. In adjusted analysis, PACT was associated with a modest increase in turnover (AME=4.0 additional PCPs per 1000 PCPs per quarter, P=0.004). Models with interaction terms suggested that the PACT-related change in turnover was increasing in provider age and experience. PACT was associated with a modest increase in PCP turnover, concentrated among older and more experienced providers, during initial implementation. Our findings suggest that policymakers should evaluate potential workforce effects when implementing PCMH.

Effect of Facilitation on Practice Outcomes in the National Demonstration Project Model of the Patient-Centered Medical Home

PubMed Central

Nutting, Paul A.; Crabtree, Benjamin F.; Stewart, Elizabeth E.; Miller, William L.; Palmer, Raymond F.; Stange, Kurt C.; Jaén, Carlos Roberto

2010-01-01

PURPOSE The objective of this study was to elucidate the effect of facilitation on practice outcomes in the 2-year patient-centered medical home (PCMH) National Demonstration Project (NDP) intervention, and to describe practices’ experience in implementing different components of the NDP model of the PCMH. METHODS Thirty-six family practices were randomized to a facilitated intervention group or a self-directed intervention group. We measured 3 practice-level outcomes: (1) the proportion of 39 components of the NDP model that practices implemented, (2) the aggregate patient rating of the practices’ PCMH attributes, and (3) the practices’ ability to make and sustain change, which we term adaptive reserve. We used a repeated-measures analysis of variance to test the intervention effects. RESULTS By the end of the 2 years of the NDP, practices in both facilitated and self-directed groups had at least 70% of the NDP model components in place. Implementation was relatively harder if the model component affected multiple roles and processes, required coordination across work units, necessitated additional resources and expertise, or challenged the traditional model of primary care. Electronic visits, group visits, team-based care, wellness promotion, and proactive population management presented the greatest challenges. Controlling for baseline differences and practice size, facilitated practices had greater increases in adaptive reserve (group difference by time, P = .005) and the proportion of NDP model components implemented (group difference by time, P=.02); the latter increased from 42% to 72% in the facilitated group and from 54% to 70% in the self-directed group. Patient ratings of the practices’ PCMH attributes did not differ between groups and, in fact, diminished in both of them. CONCLUSIONS Highly motivated practices can implement many components of the PCMH in 2 years, but apparently at a cost of diminishing the patient’s experience of care. Intense facilitation increases the number of components implemented and improves practices’ adaptive reserve. Longer follow-up is needed to assess the sustained and evolving effects of moving independent practices toward PCMHs PMID:20530393

Socio-economic effect of seismic retrofit implemented on bridges in the Los Angeles highway network.

DOT National Transportation Integrated Search

2008-12-01

This research studied socio-economic effect of the seismic retrofit implemented on bridges in Los Angeles Area : Freeway Network. Firstly, advanced FE (Finite Element) modeling and nonlinear time history analysis are carried out to : evaluate the sei...

A Practical Guide to Calibration of a GSSHA Hydrologic Model Using ERDC Automated Model Calibration Software - Effective and Efficient Stochastic Global Optimization

DTIC Science & Technology

2012-02-01

parameter estimation method, but rather to carefully describe how to use the ERDC software implementation of MLSL that accommodates the PEST model...model independent LM method based parameter estimation software PEST (Doherty, 2004, 2007a, 2007b), which quantifies model to measure- ment misfit...et al. (2011) focused on one drawback associated with LM-based model independent parameter estimation as implemented in PEST ; viz., that it requires

Optimization of an optically implemented on-board FDMA demultiplexer

NASA Technical Reports Server (NTRS)

Fargnoli, J.; Riddle, L.

1991-01-01

Performance of a 30 GHz frequency division multiple access (FDMA) uplink to a processing satellite is modelled for the case where the onboard demultiplexer is implemented optically. Included in the performance model are the effects of adjacent channel interference, intersymbol interference, and spurious signals associated with the optical implementation. Demultiplexer parameters are optimized to provide the minimum bit error probability at a given bandwidth efficiency when filtered QPSK modulation is employed.

Adiabatic Quantum Computing via the Rydberg Blockade

NASA Astrophysics Data System (ADS)

Keating, Tyler; Goyal, Krittika; Deutsch, Ivan

2012-06-01

We study an architecture for implementing adiabatic quantum computation with trapped neutral atoms. Ground state atoms are dressed by laser fields in a manner conditional on the Rydberg blockade mechanism, thereby providing the requisite entangling interactions. As a benchmark we study the performance of a Quadratic Unconstrained Binary Optimization (QUBO) problem whose solution is found in the ground state spin configuration of an Ising-like model. We model a realistic architecture, including the effects of magnetic level structure, with qubits encoded into the clock states of ^133Cs, effective B-fields implemented through microwaves and light shifts, and atom-atom coupling achieved by excitation to a high-lying Rydberg level. Including the fundamental effects of photon scattering we find a high fidelity for the two-qubit implementation.

Implementing high-performance work practices in healthcare organizations: qualitative and conceptual evidence.

PubMed

McAlearney, Ann Scheck; Robbins, Julie; Garman, Andrew N; Song, Paula H

2013-01-01

Studies across industries suggest that the systematic use of high-performance work practices (HPWPs) may be an effective but underused strategy to improve quality of care in healthcare organizations. Optimal use of HPWPs depends on how they are implemented, yet we know little about their implementation in healthcare. We conducted 67 key informant interviews in five healthcare organizations, each considered to have exemplary work practices in place and to deliver high-quality care, as part of an extensive study of HPWP use in healthcare. We analyzed interview transcripts inductively and deductively to examine why and how organizations implement HPWPs. We used an evidence-based model of complex innovation adoption to guide our exploration of factors that facilitate HPWP implementation. We found considerable variability in interviewees' reasons for implementing HPWPs, including macro-organizational (strategic level) and micro-organizational (individual level) reasons. This variability highlighted the complex context for HPWP implementation in many organizations. We also found that our application of an innovation implementation model helped clarify and categorize facilitators of HPWP implementation, thus providing insight on how these factors can contribute to implementation effectiveness. Focusing efforts on clarifying definitions, building commitment, and ensuring consistency in the application of work practices may be particularly important elements of successful implementation.

Implementation of building information modeling in Malaysian construction industry

NASA Astrophysics Data System (ADS)

Memon, Aftab Hameed; Rahman, Ismail Abdul; Harman, Nur Melly Edora

2014-10-01

This study has assessed the implementation level of Building Information Modeling (BIM) in the construction industry of Malaysia. It also investigated several computer software packages facilitating BIM and challenges affecting its implementation. Data collection for this study was carried out using questionnaire survey among the construction practitioners. 95 completed forms of questionnaire received against 150 distributed questionnaire sets from consultant, contractor and client organizations were analyzed statistically. Analysis findings indicated that the level of implementation of BIM in the construction industry of Malaysia is very low. Average index method employed to assess the effectiveness of various software packages of BIM highlighted that Bentley construction, AutoCAD and ArchiCAD are three most popular and effective software packages. Major challenges to BIM implementation are it requires enhanced collaboration, add work to a designer, interoperability and needs enhanced collaboration. For improving the level of implementing BIM in Malaysian industry, it is recommended that a flexible training program of BIM for all practitioners must be created.

The ARC organizational and community intervention strategy for implementing evidence-based children's mental health treatments.

PubMed

Glisson, Charles; Schoenwald, Sonja K

2005-12-01

This paper reviews the implications of organizational and community intervention research for the implementation of effective mental health treatments in usual community practice settings. The paper describes an organizational and community intervention model named ARC for Availability, Responsiveness and Continuity, that was designed to support the improvement of social and mental health services for children. The ARC model incorporates intervention components from organizational development, interorganizational domain development, the diffusion of innovation, and technology transfer that target social, strategic, and technological factors in effective children's services. This paper also describes a current NIMH-funded study that is using the ARC intervention model to support the implementation of an evidence-based treatment, Multisystemic Therapy (MST), for delinquent youth in extremely rural, impoverished communities in the Appalachian Mountains of East Tennessee.

Integrating addiction treatment into primary care using mobile health technology: protocol for an implementation research study

PubMed Central

2014-01-01

Background Healthcare reform in the United States is encouraging Federally Qualified Health Centers and other primary-care practices to integrate treatment for addiction and other behavioral health conditions into their practices. The potential of mobile health technologies to manage addiction and comorbidities such as HIV in these settings is substantial but largely untested. This paper describes a protocol to evaluate the implementation of an E-Health integrated communication technology delivered via mobile phones, called Seva, into primary-care settings. Seva is an evidence-based system of addiction treatment and recovery support for patients and real-time caseload monitoring for clinicians. Methods/Design Our implementation strategy uses three models of organizational change: the Program Planning Model to promote acceptance and sustainability, the NIATx quality improvement model to create a welcoming environment for change, and Rogers’s diffusion of innovations research, which facilitates adaptations of innovations to maximize their adoption potential. We will implement Seva and conduct an intensive, mixed-methods assessment at three diverse Federally Qualified Healthcare Centers in the United States. Our non-concurrent multiple-baseline design includes three periods — pretest (ending in four months of implementation preparation), active Seva implementation, and maintenance — with implementation staggered at six-month intervals across sites. The first site will serve as a pilot clinic. We will track the timing of intervention elements and assess study outcomes within each dimension of the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework, including effects on clinicians, patients, and practices. Our mixed-methods approach will include quantitative (e.g., interrupted time-series analysis of treatment attendance, with clinics as the unit of analysis) and qualitative (e.g., staff interviews regarding adaptations to implementation protocol) methods, and assessment of implementation costs. Discussion If implementation is successful, the field will have a proven technology that helps Federally Qualified Health Centers and affiliated organizations provide addiction treatment and recovery support, as well as a proven strategy for implementing the technology. Seva also has the potential to improve core elements of addiction treatment, such as referral and treatment processes. A mobile technology for addiction treatment and accompanying implementation model could provide a cost-effective means to improve the lives of patients with drug and alcohol problems. Trial registration ClinicalTrials.gov (NCT01963234). PMID:24884976

Integrating addiction treatment into primary care using mobile health technology: protocol for an implementation research study.

PubMed

Quanbeck, Andrew R; Gustafson, David H; Marsch, Lisa A; McTavish, Fiona; Brown, Randall T; Mares, Marie-Louise; Johnson, Roberta; Glass, Joseph E; Atwood, Amy K; McDowell, Helene

2014-05-29

Healthcare reform in the United States is encouraging Federally Qualified Health Centers and other primary-care practices to integrate treatment for addiction and other behavioral health conditions into their practices. The potential of mobile health technologies to manage addiction and comorbidities such as HIV in these settings is substantial but largely untested. This paper describes a protocol to evaluate the implementation of an E-Health integrated communication technology delivered via mobile phones, called Seva, into primary-care settings. Seva is an evidence-based system of addiction treatment and recovery support for patients and real-time caseload monitoring for clinicians. Our implementation strategy uses three models of organizational change: the Program Planning Model to promote acceptance and sustainability, the NIATx quality improvement model to create a welcoming environment for change, and Rogers's diffusion of innovations research, which facilitates adaptations of innovations to maximize their adoption potential. We will implement Seva and conduct an intensive, mixed-methods assessment at three diverse Federally Qualified Healthcare Centers in the United States. Our non-concurrent multiple-baseline design includes three periods - pretest (ending in four months of implementation preparation), active Seva implementation, and maintenance - with implementation staggered at six-month intervals across sites. The first site will serve as a pilot clinic. We will track the timing of intervention elements and assess study outcomes within each dimension of the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework, including effects on clinicians, patients, and practices. Our mixed-methods approach will include quantitative (e.g., interrupted time-series analysis of treatment attendance, with clinics as the unit of analysis) and qualitative (e.g., staff interviews regarding adaptations to implementation protocol) methods, and assessment of implementation costs. If implementation is successful, the field will have a proven technology that helps Federally Qualified Health Centers and affiliated organizations provide addiction treatment and recovery support, as well as a proven strategy for implementing the technology. Seva also has the potential to improve core elements of addiction treatment, such as referral and treatment processes. A mobile technology for addiction treatment and accompanying implementation model could provide a cost-effective means to improve the lives of patients with drug and alcohol problems. ClinicalTrials.gov (NCT01963234).

Successful hazard analysis critical control point implementation in the United Kingdom: understanding the barriers through the use of a behavioral adherence model.

PubMed

Gilling, S J; Taylor, E A; Kane, K; Taylor, J Z

2001-05-01

Hazard analysis critical control point (HACCP), a system of risk management designed to control food safety, has emerged over the last decade as the primary approach to securing the safety of the food supply. It is thus an important tool in combatting the worldwide escalation of foodborne disease. Yet despite wide dissemination and scientific support of its principles, successful HACCP implementation has been limited. This report takes a psychological approach to this problem by examining processes and factors that could impede adherence to the internationally accepted HACCP Guidelines and subsequent successful implementation of HACCP. Utilizing knowledge of medical clinical guideline adherence models and practical experience of HACCP implementation problems, the potential advantages of applying a behavioral model to food safety management are highlighted. The models' applicability was investigated using telephone interviews from over 200 businesses in the United Kingdom. Eleven key barriers to HACCP guideline adherence were identified. In-depth narrative interviews with food business proprietors then confirmed these findings and demonstrated the subsequent negative effect(s) on HACCP implementation. A resultant HACCP awareness to adherence model is proposed that demonstrates the complex range of potential knowledge, attitude, and behavior-related barriers involved in failures of HACCP guideline adherence. The model's specificity and detail provide a tool whereby problems can be identified and located and in this way facilitate tailored and constructive intervention. It is suggested that further investigation into the barriers involved and how to overcome them would be of substantial benefit to successful HACCP implementation and thereby contribute to an overall improvement in public health.

Implementing effective and sustainable multidisciplinary clinical thoracic oncology programs

PubMed Central

Freeman, Richard K.; Krasna, Mark J.

2015-01-01

Three models of care are described, including two models of multidisciplinary care for thoracic malignancies. The pros and cons of each model are discussed, the evidence supporting each is reviewed, and the need for more (and better) research into care delivery models is highlighted. Key stakeholders in thoracic oncology care delivery outcomes are identified, and the need to consider stakeholder perspectives in designing, validating and implementing multidisciplinary programs as a vehicle for quality improvement in thoracic oncology is emphasized. The importance of reconciling stakeholder perspectives, and identify meaningful stakeholder-relevant benchmarks is also emphasized. Metrics for measuring program implementation and overall success are proposed. PMID:26380186

Implementing effective and sustainable multidisciplinary clinical thoracic oncology programs.

PubMed

Osarogiagbon, Raymond U; Freeman, Richard K; Krasna, Mark J

2015-08-01

Three models of care are described, including two models of multidisciplinary care for thoracic malignancies. The pros and cons of each model are discussed, the evidence supporting each is reviewed, and the need for more (and better) research into care delivery models is highlighted. Key stakeholders in thoracic oncology care delivery outcomes are identified, and the need to consider stakeholder perspectives in designing, validating and implementing multidisciplinary programs as a vehicle for quality improvement in thoracic oncology is emphasized. The importance of reconciling stakeholder perspectives, and identify meaningful stakeholder-relevant benchmarks is also emphasized. Metrics for measuring program implementation and overall success are proposed.

Altering school climate through school-wide Positive Behavioral Interventions and Supports: findings from a group-randomized effectiveness trial.

PubMed

Bradshaw, Catherine P; Koth, Christine W; Thornton, Leslie A; Leaf, Philip J

2009-06-01

Positive Behavioral Interventions and Supports (PBIS) is a universal, school-wide prevention strategy that is currently implemented in over 7,500 schools to reduce disruptive behavior problems. The present study examines the impact of PBIS on staff reports of school organizational health using data from a group-randomized controlled effectiveness trial of PBIS conducted in 37 elementary schools. Longitudinal multilevel analyses on data from 2,596 staff revealed a significant effect of PBIS on the schools' overall organizational health, resource influence, staff affiliation, and academic emphasis over the 5-year trial; the effects on collegial leadership and institutional integrity were significant when implementation fidelity was included in the model. Trained schools that adopted PBIS the fastest tended to have higher levels of organizational health at baseline, but the later-implementing schools tended to experience the greatest improvements in organizational health after implementing PBIS. This study indicated that changes in school organizational health are important consequences of the PBIS whole-school prevention model, and may in turn be a potential contextual mediator of the effect of PBIS on student performance.

Implementation of methadone therapy for opioid use disorder in Russia - a modeled cost-effectiveness analysis.

PubMed

Idrisov, Bulat; Murphy, Sean M; Morrill, Tyler; Saadoun, Mayada; Lunze, Karsten; Shepard, Donald

2017-01-20

Opioid agonist therapy using methadone, an effective treatment of opioid use disorders (OUD) for people who inject drugs (PWID), is recommended by the World Health Organization as essential to curtail the growing HIV epidemic. Yet, despite increasing prevalence of OUD and HIV, methadone therapy has not yet been implemented in Russia. The aim of this modeling study was to estimate the cost-effectiveness of methadone therapy for Russian adults with a diagnosed OUD. We modeled the projected program implementation costs and estimated disability-adjusted life years (DALYs) averted over a 10-year period, associated with the provision of methadone therapy for a hypothetical, unreplenished cohort of Russian adults with an OUD (n = 249,000), in comparison to the current therapies at existing addiction treatment facilities. Our model compared four distinct scenarios of treatment coverage in the cohort ranging from 3.1 to 55%. Providing methadone therapy to as few as 3.1% of adults with an OUD amounted to an estimated almost 50,000 DALYs averted over 10 years at a cost of just over USD 17 million. Further expanding service coverage to 55% resulted in an estimated almost 900,000 DALYs averted, at a cost of about USD 308 million. Our study indicated that implementing opioid agonist therapy with methadone to treat OUD at existing facilities in Russia is highly cost-effective.

You've Shown the Program Model Is Effective. Now What?

ERIC Educational Resources Information Center

Ellickson, Phyllis L.

2014-01-01

Rigorous tests of theory-based programs require faithful implementation. Otherwise, lack of results might be attributable to faulty program delivery, faulty theory, or both. However, once the evidence indicates the model works and merits broader dissemination, implementation issues do not fade away. How can developers enhance the likelihood that…

A Model for Effective Implementation of Flexible Programme Delivery

ERIC Educational Resources Information Center

Normand, Carey; Littlejohn, Allison; Falconer, Isobel

2008-01-01

The model developed here is the outcome of a project funded by the Quality Assurance Agency Scotland to support implementation of flexible programme delivery (FPD) in post-compulsory education. We highlight key features of FPD, including explicit and implicit assumptions about why flexibility is needed and the perceived barriers and solutions to…

Implementing Marzano's Model: The Reality of Educational Leadership and School Reform

ERIC Educational Resources Information Center

Keaveny, Stacy M.

2013-01-01

Federal and state guidelines for school reform dominate the landscape of public education. Florida and its school districts, as a Race to the Top state, are in the process of fully implementing a value-added model of teacher evaluation. Effective school leaders are calling upon the theoretical framework of transformational, visionary and…

Numerical built-in method for the nonlinear JRC/JCS model in rock joint.

PubMed

Liu, Qunyi; Xing, Wanli; Li, Ying

2014-01-01

The joint surface is widely distributed in the rock, thus leading to the nonlinear characteristics of rock mass strength and limiting the effectiveness of the linear model in reflecting characteristics. The JRC/JCS model is the nonlinear failure criterion and generally believed to describe the characteristics of joints better than other models. In order to develop the numerical program for JRC/JCS model, this paper established the relationship between the parameters of the JRC/JCS and Mohr-Coulomb models. Thereafter, the numerical implement method and implementation process of the JRC/JCS model were discussed and the reliability of the numerical method was verified by the shear tests of jointed rock mass. Finally, the effect of the JRC/JCS model parameters on the shear strength of the joint was analyzed.

Design study of Software-Implemented Fault-Tolerance (SIFT) computer

NASA Technical Reports Server (NTRS)

Wensley, J. H.; Goldberg, J.; Green, M. W.; Kutz, W. H.; Levitt, K. N.; Mills, M. E.; Shostak, R. E.; Whiting-Okeefe, P. M.; Zeidler, H. M.

1982-01-01

Software-implemented fault tolerant (SIFT) computer design for commercial aviation is reported. A SIFT design concept is addressed. Alternate strategies for physical implementation are considered. Hardware and software design correctness is addressed. System modeling and effectiveness evaluation are considered from a fault-tolerant point of view.

Cost-minimization model of a multidisciplinary antibiotic stewardship team based on a successful implementation on a urology ward of an academic hospital.

PubMed

Dik, Jan-Willem H; Hendrix, Ron; Friedrich, Alex W; Luttjeboer, Jos; Panday, Prashant Nannan; Wilting, Kasper R; Lo-Ten-Foe, Jerome R; Postma, Maarten J; Sinha, Bhanu

2015-01-01

In order to stimulate appropriate antimicrobial use and thereby lower the chances of resistance development, an Antibiotic Stewardship Team (A-Team) has been implemented at the University Medical Center Groningen, the Netherlands. Focus of the A-Team was a pro-active day 2 case-audit, which was financially evaluated here to calculate the return on investment from a hospital perspective. Effects were evaluated by comparing audited patients with a historic cohort with the same diagnosis-related groups. Based upon this evaluation a cost-minimization model was created that can be used to predict the financial effects of a day 2 case-audit. Sensitivity analyses were performed to deal with uncertainties. Finally, the model was used to financially evaluate the A-Team. One whole year including 114 patients was evaluated. Implementation costs were calculated to be €17,732, which represent total costs spent to implement this A-Team. For this specific patient group admitted to a urology ward and consulted on day 2 by the A-Team, the model estimated total savings of €60,306 after one year for this single department, leading to a return on investment of 5.9. The implemented multi-disciplinary A-Team performing a day 2 case-audit in the hospital had a positive return on investment caused by a reduced length of stay due to a more appropriate antibiotic therapy. Based on the extensive data analysis, a model of this intervention could be constructed. This model could be used by other institutions, using their own data to estimate the effects of a day 2 case-audit in their hospital.

Handbook on Effective Implementation of School Improvement Grants

ERIC Educational Resources Information Center

Perlman, Carole L., Ed.; Redding, Sam, Ed.

2011-01-01

The purpose of this "Handbook" is to bolster the effective implementation of the intervention models and strategies outlined in the "2010 School Improvement Grant" (SIG) program--section 1003(g) of the Elementary and Secondary Education Act (ESEA)--in order to achieve the program's clear goal--rapid improvement of persistently…

Effectiveness of implementing a best practice primary healthcare model for low back pain (BetterBack) compared with current routine care in the Swedish context: an internal pilot study informed protocol for an effectiveness-implementation hybrid type 2 trial

PubMed Central

Abbott, Allan; Schröder, Karin; Enthoven, Paul; Nilsen, Per; Öberg, Birgitta

2018-01-01

Introduction Low back pain (LBP) is a major health problem commonly requiring healthcare. In Sweden, there is a call from healthcare practitioners (HCPs) for the development, implementation and evaluation of a best practice primary healthcare model for LBP. Aims (1) To improve and understand the mechanisms underlying changes in HCP confidence, attitudes and beliefs for providing best practice coherent primary healthcare for patients with LBP; (2) to improve and understand the mechanisms underlying illness beliefs, self-care enablement, pain, disability and quality of life in patients with LBP; and (3) to evaluate a multifaceted and sustained implementation strategy and the cost-effectiveness of the BetterBack☺ model of care (MOC) for LBP from the perspective of the Swedish primary healthcare context. Methods This study is an effectiveness-implementation hybrid type 2 trial testing the hypothesised superiority of the BetterBack☺ MOC compared with current routine care. The trial involves simultaneous testing of MOC effects at the HCP, patient and implementation process levels. This involves a prospective cohort study investigating implementation at the HCP level and a patient-blinded, pragmatic, cluster, randomised controlled trial with longitudinal follow-up at 3, 6 and 12 months post baseline for effectiveness at the patient level. A parallel process and economic analysis from a healthcare sector perspective will also be performed. Patients will be allocated to routine care (control group) or the BetterBack☺ MOC (intervention group) according to a stepped cluster dogleg structure with two assessments in routine care. Experimental conditions will be compared and causal mediation analysis investigated. Qualitative HCP and patient experiences of the BetterBack☺ MOC will also be investigated. Dissemination The findings will be published in peer-reviewed journals and presented at national and international conferences. Further national dissemination and implementation in Sweden and associated national quality register data collection are potential future developments of the project. Date and version identifier 13 December 2017, protocol version 3. Trial registration number NCT03147300; Pre-results. PMID:29691246

Cost-effectiveness of Project ADAM: a project to prevent sudden cardiac death in high school students.

PubMed

Berger, S; Whitstone, B N; Frisbee, S J; Miner, J T; Dhala, A; Pirrallo, R G; Utech, L M; Sachdeva, R C

2004-01-01

Public access defibrillation (PAD) in the adult population is thought to be both efficacious and cost-effective. Similar programs aimed at children and adolescents have not been evaluated for their cost-effectiveness. This study evaluates the potential cost-effectiveness of implementing Project ADAM, a program targeting children and adolescents in high schools in the Milwaukee Public School System. Project ADAM provides education about cardiopulmonary resuscitation (CPR) and the warning signs of sudden cardiac death (SCD) and training in the use and placement of automated external defibrillators (AEDs) in high schools. We developed decision analysis models to evaluate the cost-effectiveness of the decision to implement Project ADAM in public high schools in Milwaukee. We examined clinical model and public policy applications. Data on costs included estimates of hospital-based charges derived from a pediatric medical center where a series of patients were treated for SCD, educational programming, and the direct costs of one AED and training for 15 personnel per school. We performed sensitivity analyses to assess the variation in outputs with respect to changes to input data. The main outcome measures were Life years saved and incremental cost-effectiveness ratios. At an arbitrary societal willingness to pay $100,000 per life year saved, the policy to implement Project ADAM in schools is a cost-effective strategy at a threshold of approximately 5 patients over 5 years for the clinical model and approximately 8 patients over 5 years for the public policy model. Implementation of Project ADAM in high schools in the United States is potentially associated with an incremental cost-effectiveness ratio that is favorable.

Applying Adult Behavior Change Theory to Support Mediator-Based Intervention Implementation

ERIC Educational Resources Information Center

Sanetti, Lisa M. H.; Kratochwill, Thomas R.; Long, Anna C. J.

2013-01-01

A majority of evidence-based interventions in schools are delivered through consultation models and are implemented by a mediator, such as a teacher. Research indicates that mediators do not always adequately implement adopted evidence-based interventions, limiting their effectiveness in transforming student outcomes. We propose that to transform…

Comparing species distribution models constructed with different subsets of environmental predictors

USGS Publications Warehouse

Bucklin, David N.; Basille, Mathieu; Benscoter, Allison M.; Brandt, Laura A.; Mazzotti, Frank J.; Romañach, Stephanie S.; Speroterra, Carolina; Watling, James I.

2014-01-01

Our results indicate that additional predictors have relatively minor effects on the accuracy of climate-based species distribution models and minor to moderate effects on spatial predictions. We suggest that implementing species distribution models with only climate predictors may provide an effective and efficient approach for initial assessments of environmental suitability.

Fostering the development of effective person-centered healthcare communication skills: an interprofessional shared learning model.

PubMed

Cavanaugh, James T; Konrad, Shelley Cohen

2012-01-01

To describe the implementation of an interprofessional shared learning model designed to promote the development of person-centered healthcare communication skills. Master of social work (MSW) and doctor of physical therapy (DPT) degree students. The model used evidence-based principles of effective healthcare communication and shared learning methods; it was aligned with student learning outcomes contained in MSW and DPT curricula. Students engaged in 3 learning sessions over 2 days. Sessions involved interactive reflective learning, simulated role-modeling with peer assessment, and context-specific practice of communication skills. The perspective of patients/clients was included in each learning activity. Activities were evaluated through narrative feedback. Students valued opportunities to learn directly from each other and from healthcare consumers. Important insights and directions for future interprofessional learning experiences were gleaned from model implementation. The interprofessional shared learning model shows promise as an effective method for developing person-centered communication skills.

Implementation effect of productive 4-stage field orientation on the student technopreneur skill in vocational schools

NASA Astrophysics Data System (ADS)

Ismail, Edy; Samsudi, Widjanarko, Dwi; Joyce, Peter; Stearns, Roman

2018-03-01

This model integrates project base learning by creating a product based on environmental needs. The Produktif Orientasi Lapangan 4 Tahap (POL4T) combines technical skills and entrepreneurial elements together in the learning process. This study is to implement the result of technopreneurship learning model development which is environment-oriented by combining technology and entrepreneurship components on Machining Skill Program. This study applies research and development design by optimizing experimental subject. Data were obtained from questionnaires, learning material validation, interpersonal, intrapersonal observation forms, skills, product, teachers and students' responses, and cognitive tasks. Expert validation and t-test calculation are applied to see how effective POL4T learning model. The result of the study is in the form of 4 steps learning model to enhance interpersonal and intrapersonal attitudes, develop practical products which orient to society and appropriate technology so that the products can have high selling value. The model is effective based on the students' post test result, which is better than the pre-test. The product obtained from POL4T model is proven to be better than the productive learning. POL4T model is recommended to be implemented for XI grade students. This is can develop entrepreneurial attitudes that are environment oriented, community needs and technical competencies students.

An Approach for Dynamic Optimization of Prevention Program Implementation in Stochastic Environments

NASA Astrophysics Data System (ADS)

Kang, Yuncheol; Prabhu, Vittal

The science of preventing youth problems has significantly advanced in developing evidence-based prevention program (EBP) by using randomized clinical trials. Effective EBP can reduce delinquency, aggression, violence, bullying and substance abuse among youth. Unfortunately the outcomes of EBP implemented in natural settings usually tend to be lower than in clinical trials, which has motivated the need to study EBP implementations. In this paper we propose to model EBP implementations in natural settings as stochastic dynamic processes. Specifically, we propose Markov Decision Process (MDP) for modeling and dynamic optimization of such EBP implementations. We illustrate these concepts using simple numerical examples and discuss potential challenges in using such approaches in practice.

Quantifying short run cost-effectiveness during a gradual implementation process.

PubMed

van de Wetering, Gijs; Woertman, Willem H; Verbeek, Andre L; Broeders, Mireille J; Adang, Eddy M M

2013-12-01

This paper examines the short run inefficiencies that arise during gradual implementation of a new cost-effective technology in healthcare. These inefficiencies arise when health gains associated with the new technology cannot be obtained immediately because the new technology does not yet supply all patients, and when there is overcapacity for the old technology in the short run because the supply of care is divided among two mutually exclusive technologies. Such efficiency losses are not taken into account in standard textbook cost-effectiveness analysis in which a steady state is presented where costs and effects are assumed to be unchanging over time. A model is constructed to quantify such short run inefficiencies as well as to inform the decision maker about the optimal implementation pattern for the new technology. The model operates by integrating the incremental net benefit equations for both the period of co-existence of mutually exclusive technologies and the period after complete substitution of the old technology. It takes into account the rate of implementation of the new technology, depreciation of capital of the old technology as well as the demand curves for both technologies. The model is applied to the real world case of converting from screen film to digital mammography in the Netherlands.

Tier 2 Team Processes and Decision-Making in a Comprehensive Three-Tiered Model

ERIC Educational Resources Information Center

Pool, Juli L.; Carter, Deborah Russell; Johnson, Evelyn S.

2013-01-01

Three-tiered models of academic and behavioral support are being increasingly adopted across the nation, and with that adoption has come an increasing message that designing and implementing effective practices alone is not enough. Systems are needed to help staff to collectively implement best practices. These systems, as well as effective…

Separate and Not Equal: The Implementation of Structured English Immersion in Arizona's Classrooms

ERIC Educational Resources Information Center

Lillie, Karen E.; Markos, Amy; Arias, M. Beatriz; Wiley, Terrence G.

2012-01-01

Background/Context: Over the last ten years, a convergence of laws and decrees has impacted the development and implementation of Arizona's current program for English language learners (ELLs): the four-hour Structured English Immersion (SEI) model. Arizona's new model, while being touted by some as the most effective program for ELLs (Clark,…

An Evaluation of Video Modeling with Embedded Instructions to Teach Implementation of Stimulus Preference Assessments

ERIC Educational Resources Information Center

Rosales, Rocío; Gongola, Leah; Homlitas, Christa

2015-01-01

A multiple baseline design across participants was used to evaluate the effects of video modeling with embedded instructions on training teachers to implement 3 preference assessments. Each assessment was conducted with a confederate learner or a child with autism during generalization probes. All teachers met the predetermined mastery criterion,…

The Effects of Video Modeling with Voiceover Instruction on Accurate Implementation of Discrete-Trial Instruction

ERIC Educational Resources Information Center

Vladescu, Jason C.; Carroll, Regina; Paden, Amber; Kodak, Tiffany M.

2012-01-01

The present study replicates and extends previous research on the use of video modeling (VM) with voiceover instruction to train staff to implement discrete-trial instruction (DTI). After staff trainees reached the mastery criterion when teaching an adult confederate with VM, they taught a child with a developmental disability using DTI. The…

The Implementation and Evaluation of a Clinical Supervision Model in Teacher Education in Turkey: Is It an Effective Method?

ERIC Educational Resources Information Center

Bulunz, Nermin; Gursoy, Esim; Kesner, John; Baltaci Goktalay, Sehnaz; Salihoglu, Umut M.

2014-01-01

Implementation of the standards established by the Higher Education Council (HEC) has shown great variation between universities, between departments and even between supervisors. A TUBITAK (111K162)-EVRENA project designed to develop a "teaching practice program" using a Clinical Supervision Model (CSM) was conducted. The present study…

Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes.

PubMed

Li, Baoyue; Lingsma, Hester F; Steyerberg, Ewout W; Lesaffre, Emmanuel

2011-05-23

Logistic random effects models are a popular tool to analyze multilevel also called hierarchical data with a binary or ordinal outcome. Here, we aim to compare different statistical software implementations of these models. We used individual patient data from 8509 patients in 231 centers with moderate and severe Traumatic Brain Injury (TBI) enrolled in eight Randomized Controlled Trials (RCTs) and three observational studies. We fitted logistic random effects regression models with the 5-point Glasgow Outcome Scale (GOS) as outcome, both dichotomized as well as ordinal, with center and/or trial as random effects, and as covariates age, motor score, pupil reactivity or trial. We then compared the implementations of frequentist and Bayesian methods to estimate the fixed and random effects. Frequentist approaches included R (lme4), Stata (GLLAMM), SAS (GLIMMIX and NLMIXED), MLwiN ([R]IGLS) and MIXOR, Bayesian approaches included WinBUGS, MLwiN (MCMC), R package MCMCglmm and SAS experimental procedure MCMC.Three data sets (the full data set and two sub-datasets) were analysed using basically two logistic random effects models with either one random effect for the center or two random effects for center and trial. For the ordinal outcome in the full data set also a proportional odds model with a random center effect was fitted. The packages gave similar parameter estimates for both the fixed and random effects and for the binary (and ordinal) models for the main study and when based on a relatively large number of level-1 (patient level) data compared to the number of level-2 (hospital level) data. However, when based on relatively sparse data set, i.e. when the numbers of level-1 and level-2 data units were about the same, the frequentist and Bayesian approaches showed somewhat different results. The software implementations differ considerably in flexibility, computation time, and usability. There are also differences in the availability of additional tools for model evaluation, such as diagnostic plots. The experimental SAS (version 9.2) procedure MCMC appeared to be inefficient. On relatively large data sets, the different software implementations of logistic random effects regression models produced similar results. Thus, for a large data set there seems to be no explicit preference (of course if there is no preference from a philosophical point of view) for either a frequentist or Bayesian approach (if based on vague priors). The choice for a particular implementation may largely depend on the desired flexibility, and the usability of the package. For small data sets the random effects variances are difficult to estimate. In the frequentist approaches the MLE of this variance was often estimated zero with a standard error that is either zero or could not be determined, while for Bayesian methods the estimates could depend on the chosen "non-informative" prior of the variance parameter. The starting value for the variance parameter may be also critical for the convergence of the Markov chain.

[Home treatment--a treatment model of integrated care in Hamburg].

PubMed

Schöttle, Daniel; Ruppelt, Friederike; Karow, Anne; Lambert, Martin

2015-03-01

Treatment models like "Crisis Resolution and Hometreatment (CRHT)" or "Assertive Community Treatment" (ACT), were found to be effective, enhancing the qualitative level of treatment for patients with severe mental disorders. In Germany, these are implemented only sporadically until today, often as part of a cross-sectoral Integrated Care (IC) treatment system. We will present the implementation of an "Assertive Community Treatment" embedded into an IC-treatment model in Hamburg and discuss the 3-year-outcomes. The IC-treatment model has been designed for severe mentally ill patients with psychotic disorders. Since May 2007 the model is financed by different health insurances as a managed-care "capitation-model" and its effectiveness gets continuously evaluated. The model proved to be effective in earlier studies were compared with standard care low rates of service disengagement were found as well as significantly improved psychopathology, psychosocial functioning, quality of life, satisfaction with care and adherence, while being cost effective. The rates of involuntary admissions declined to 10% in comparison to the years before. In 2011 the model was specified to the indication "first-episode adolescents and young adults in the age of 12-29" in a government-funded study "Integrated Care in Early Psychosis, ICEP Study". In this study an interdisciplinary team of child, adolescent and adult psychiatrists was implemented and since 2012 it is financed by the involved health insurances throughout an expansion of the §140 SGB V agreement. © Georg Thieme Verlag KG Stuttgart · New York.

Modelling mitigation options to reduce diffuse nitrogen water pollution from agriculture.

PubMed

Bouraoui, Fayçal; Grizzetti, Bruna

2014-01-15

Agriculture is responsible for large scale water quality degradation and is estimated to contribute around 55% of the nitrogen entering the European Seas. The key policy instrument for protecting inland, transitional and coastal water resources is the Water Framework Directive (WFD). Reducing nutrient losses from agriculture is crucial to the successful implementation of the WFD. There are several mitigation measures that can be implemented to reduce nitrogen losses from agricultural areas to surface and ground waters. For the selection of appropriate measures, models are useful for quantifying the expected impacts and the associated costs. In this article we review some of the models used in Europe to assess the effectiveness of nitrogen mitigation measures, ranging from fertilizer management to the construction of riparian areas and wetlands. We highlight how the complexity of models is correlated with the type of scenarios that can be tested, with conceptual models mostly used to evaluate the impact of reduced fertilizer application, and the physically-based models used to evaluate the timing and location of mitigation options and the response times. We underline the importance of considering the lag time between the implementation of measures and effects on water quality. Models can be effective tools for targeting mitigation measures (identifying critical areas and timing), for evaluating their cost effectiveness, for taking into consideration pollution swapping and considering potential trade-offs in contrasting environmental objectives. Models are also useful for involving stakeholders during the development of catchments mitigation plans, increasing their acceptability. © 2013.

Validating and determining the weight of items used for evaluating clinical governance implementation based on analytic hierarchy process model.

PubMed

Hooshmand, Elaheh; Tourani, Sogand; Ravaghi, Hamid; Vafaee Najar, Ali; Meraji, Marziye; Ebrahimipour, Hossein

2015-04-08

The purpose of implementing a system such as Clinical Governance (CG) is to integrate, establish and globalize distinct policies in order to improve quality through increasing professional knowledge and the accountability of healthcare professional toward providing clinical excellence. Since CG is related to change, and change requires money and time, CG implementation has to be focused on priority areas that are in more dire need of change. The purpose of the present study was to validate and determine the significance of items used for evaluating CG implementation. The present study was descriptive-quantitative in method and design. Items used for evaluating CG implementation were first validated by the Delphi method and then compared with one another and ranked based on the Analytical Hierarchy Process (AHP) model. The items that were validated for evaluating CG implementation in Iran include performance evaluation, training and development, personnel motivation, clinical audit, clinical effectiveness, risk management, resource allocation, policies and strategies, external audit, information system management, research and development, CG structure, implementation prerequisites, the management of patients' non-medical needs, complaints and patients' participation in the treatment process. The most important items based on their degree of significance were training and development, performance evaluation, and risk management. The least important items included the management of patients' non-medical needs, patients' participation in the treatment process and research and development. The fundamental requirements of CG implementation included having an effective policy at national level, avoiding perfectionism, using the expertise and potentials of the entire country and the coordination of this model with other models of quality improvement such as accreditation and patient safety. © 2015 by Kerman University of Medical Sciences.

Hybrid Implementation Model of Community-Partnered Early Intervention for Toddlers with Autism: A Randomized Trial

ERIC Educational Resources Information Center

Shire, Stephanie Y.; Chang, Ya-Chih; Shih, Wendy; Bracaglia, Suzanne; Kodjoe, Maria; Kasari, Connie

2017-01-01

Background: Interventions found to be effective in research settings are often not as effective when implemented in community settings. Considering children with autism, studies have rarely examined the efficacy of laboratory-tested interventions on child outcomes in community settings using randomized controlled designs. Methods: One hundred and…

Applying a contingency model of strategic decision making to the implementation of smoking bans: a case study.

PubMed

Willemsen, M C; Meijer, A; Jannink, M

1999-08-01

A model of strategic decision making was applied to study the implementation of worksite smoking policy. This model assumes there is no best way of implementing smoking policies, but that 'the best way' depends on how decision making fits specific content and context factors. A case study at Wehkamp, a mail-order company, is presented to illustrate the usefulness of this model to understand how organizations implement smoking policies. Interview data were collected from representatives of Wehkamp, and pre- and post-ban survey data were collected from employees. After having failed to solve the smoking problem in a more democratic way, Wehkamp's top management choose a highly confrontational and decentralized decision-making approach to implement a complete smoking ban. This resulted in an effective smoking ban, but was to some extent at the cost of employees' satisfaction with the policy and with how the policy was implemented. The choice of implementation approach was contingent upon specific content and context factors, such as managers' perception of the problem, leadership style and legislation. More case studies from different types of companies are needed to better understand how organizational factors affect decision making about smoking bans and other health promotion innovations.

Effects of Video Modeling on Treatment Integrity of Behavioral Interventions

ERIC Educational Resources Information Center

DiGennaro-Reed, Florence D.; Codding, Robin; Catania, Cynthia N.; Maguire, Helena

2010-01-01

We examined the effects of individualized video modeling on the accurate implementation of behavioral interventions using a multiple baseline design across 3 teachers. During video modeling, treatment integrity improved above baseline levels; however, teacher performance remained variable. The addition of verbal performance feedback increased…

Implementation of School Instructional Improvement and Student Growth in Math: Testing a Multilevel Longitudinal Model

ERIC Educational Resources Information Center

Takanishi, Stacey M.

2012-01-01

NCLB policies in the United States focus schools' efforts on implementing effective instructional processes to improve student outcomes. This study looks more specifically at how schools are perceived to be implementing state required curricula and benchmarks and developing teaching and learning processes that support the teaching of state…

Spatially-Distributed Cost–Effectiveness Analysis Framework to Control Phosphorus from Agricultural Diffuse Pollution

PubMed Central

Geng, Runzhe; Wang, Xiaoyan; Sharpley, Andrew N.; Meng, Fande

2015-01-01

Best management practices (BMPs) for agricultural diffuse pollution control are implemented at the field or small-watershed scale. However, the benefits of BMP implementation on receiving water quality at multiple spatial is an ongoing challenge. In this paper, we introduce an integrated approach that combines risk assessment (i.e., Phosphorus (P) index), model simulation techniques (Hydrological Simulation Program–FORTRAN), and a BMP placement tool at various scales to identify the optimal location for implementing multiple BMPs and estimate BMP effectiveness after implementation. A statistically significant decrease in nutrient discharge from watersheds is proposed to evaluate the effectiveness of BMPs, strategically targeted within watersheds. Specifically, we estimate two types of cost-effectiveness curves (total pollution reduction and proportion of watersheds improved) for four allocation approaches. Selection of a ‘‘best approach” depends on the relative importance of the two types of effectiveness, which involves a value judgment based on the random/aggregated degree of BMP distribution among and within sub-watersheds. A statistical optimization framework is developed and evaluated in Chaohe River Watershed located in the northern mountain area of Beijing. Results show that BMP implementation significantly (p >0.001) decrease P loss from the watershed. Remedial strategies where BMPs were targeted to areas of high risk of P loss, deceased P loads compared with strategies where BMPs were randomly located across watersheds. Sensitivity analysis indicated that aggregated BMP placement in particular watershed is the most cost-effective scenario to decrease P loss. The optimization approach outlined in this paper is a spatially hierarchical method for targeting nonpoint source controls across a range of scales from field to farm, to watersheds, to regions. Further, model estimates showed targeting at multiple scales is necessary to optimize program efficiency. The integrated model approach described that selects and places BMPs at varying levels of implementation, provides a new theoretical basis and technical guidance for diffuse pollution management in agricultural watersheds. PMID:26313561

Spatially-Distributed Cost-Effectiveness Analysis Framework to Control Phosphorus from Agricultural Diffuse Pollution.

PubMed

Geng, Runzhe; Wang, Xiaoyan; Sharpley, Andrew N; Meng, Fande

2015-01-01

Best management practices (BMPs) for agricultural diffuse pollution control are implemented at the field or small-watershed scale. However, the benefits of BMP implementation on receiving water quality at multiple spatial is an ongoing challenge. In this paper, we introduce an integrated approach that combines risk assessment (i.e., Phosphorus (P) index), model simulation techniques (Hydrological Simulation Program-FORTRAN), and a BMP placement tool at various scales to identify the optimal location for implementing multiple BMPs and estimate BMP effectiveness after implementation. A statistically significant decrease in nutrient discharge from watersheds is proposed to evaluate the effectiveness of BMPs, strategically targeted within watersheds. Specifically, we estimate two types of cost-effectiveness curves (total pollution reduction and proportion of watersheds improved) for four allocation approaches. Selection of a ''best approach" depends on the relative importance of the two types of effectiveness, which involves a value judgment based on the random/aggregated degree of BMP distribution among and within sub-watersheds. A statistical optimization framework is developed and evaluated in Chaohe River Watershed located in the northern mountain area of Beijing. Results show that BMP implementation significantly (p >0.001) decrease P loss from the watershed. Remedial strategies where BMPs were targeted to areas of high risk of P loss, deceased P loads compared with strategies where BMPs were randomly located across watersheds. Sensitivity analysis indicated that aggregated BMP placement in particular watershed is the most cost-effective scenario to decrease P loss. The optimization approach outlined in this paper is a spatially hierarchical method for targeting nonpoint source controls across a range of scales from field to farm, to watersheds, to regions. Further, model estimates showed targeting at multiple scales is necessary to optimize program efficiency. The integrated model approach described that selects and places BMPs at varying levels of implementation, provides a new theoretical basis and technical guidance for diffuse pollution management in agricultural watersheds.

Developing and validating a model to predict the success of an IHCS implementation: the Readiness for Implementation Model.

PubMed

Wen, Kuang-Yi; Gustafson, David H; Hawkins, Robert P; Brennan, Patricia F; Dinauer, Susan; Johnson, Pauley R; Siegler, Tracy

2010-01-01

To develop and validate the Readiness for Implementation Model (RIM). This model predicts a healthcare organization's potential for success in implementing an interactive health communication system (IHCS). The model consists of seven weighted factors, with each factor containing five to seven elements. Two decision-analytic approaches, self-explicated and conjoint analysis, were used to measure the weights of the RIM with a sample of 410 experts. The RIM model with weights was then validated in a prospective study of 25 IHCS implementation cases. Orthogonal main effects design was used to develop 700 conjoint-analysis profiles, which varied on seven factors. Each of the 410 experts rated the importance and desirability of the factors and their levels, as well as a set of 10 different profiles. For the prospective 25-case validation, three time-repeated measures of the RIM scores were collected for comparison with the implementation outcomes. Two of the seven factors, 'organizational motivation' and 'meeting user needs,' were found to be most important in predicting implementation readiness. No statistically significant difference was found in the predictive validity of the two approaches (self-explicated and conjoint analysis). The RIM was a better predictor for the 1-year implementation outcome than the half-year outcome. The expert sample, the order of the survey tasks, the additive model, and basing the RIM cut-off score on experience are possible limitations of the study. The RIM needs to be empirically evaluated in institutions adopting IHCS and sustaining the system in the long term.

Implementation of aerosol-cloud interactions in the regional atmosphere-aerosol model COSMO-MUSCAT(5.0) and evaluation using satellite data

NASA Astrophysics Data System (ADS)

Dipu, Sudhakar; Quaas, Johannes; Wolke, Ralf; Stoll, Jens; Mühlbauer, Andreas; Sourdeval, Odran; Salzmann, Marc; Heinold, Bernd; Tegen, Ina

2017-06-01

The regional atmospheric model Consortium for Small-scale Modeling (COSMO) coupled to the Multi-Scale Chemistry Aerosol Transport model (MUSCAT) is extended in this work to represent aerosol-cloud interactions. Previously, only one-way interactions (scavenging of aerosol and in-cloud chemistry) and aerosol-radiation interactions were included in this model. The new version allows for a microphysical aerosol effect on clouds. For this, we use the optional two-moment cloud microphysical scheme in COSMO and the online-computed aerosol information for cloud condensation nuclei concentrations (Cccn), replacing the constant Cccn profile. In the radiation scheme, we have implemented a droplet-size-dependent cloud optical depth, allowing now for aerosol-cloud-radiation interactions. To evaluate the models with satellite data, the Cloud Feedback Model Intercomparison Project Observation Simulator Package (COSP) has been implemented. A case study has been carried out to understand the effects of the modifications, where the modified modeling system is applied over the European domain with a horizontal resolution of 0.25° × 0.25°. To reduce the complexity in aerosol-cloud interactions, only warm-phase clouds are considered. We found that the online-coupled aerosol introduces significant changes for some cloud microphysical properties. The cloud effective radius shows an increase of 9.5 %, and the cloud droplet number concentration is reduced by 21.5 %.

The cost-effectiveness of telestroke in the Pacific Northwest region of the USA.

PubMed

Nelson, Richard E; Okon, Nicholas; Lesko, Alexandra C; Majersik, Jennifer J; Bhatt, Archit; Baraban, Elizabeth

2016-10-01

Using real-world data from the Providence Oregon Telestroke Network, we examined the cost-effectiveness of telestroke from both the spoke and hub perspectives by level of financial responsibility for these costs and by patient stroke severity. We constructed a decision analytic model using patient-level clinical and financial data from before and after telestroke implementation. Effectiveness was measured as quality-adjusted life years (QALYs) and was combined with cost per patient outcomes to calculate incremental cost effectiveness ratios (ICERs). Outcomes were generated (a) overall; (b) by stroke severity, via the National Institute of Health Stroke Scale (NIHSS) at time of arrival, defined as low (<5), medium (5-14) and high (>15); and (c) by percentage of implementation costs paid by spokes (0%, 50%, 100%). Data for 864 patients, 98 pre- and 766 post-implementation, were used to parameterize our model. From the spoke perspective, telestroke had ICERs of US$1322/QALY, US$25,991/QALY and US$50,687/QALY when responsible for 0%, 50%, and 100% of these costs, respectively. Overall, the ICER ranged from US$22,363/QALY to US$71,703/QALY from the hub perspective. Our results support previous models showing good value, overall. However, costs and ICERs varied by stroke severity, with telestroke being most cost-effective for severe strokes. Telestroke was least cost effective for the spokes if spokes paid for more than half of implementation costs. © The Author(s) 2015.

Gate voltage dependent 1/f noise variance model based on physical noise generation mechanisms in n-channel metal-oxide-semiconductor field-effect transistors

NASA Astrophysics Data System (ADS)

Arai, Yukiko; Aoki, Hitoshi; Abe, Fumitaka; Todoroki, Shunichiro; Khatami, Ramin; Kazumi, Masaki; Totsuka, Takuya; Wang, Taifeng; Kobayashi, Haruo

2015-04-01

1/f noise is one of the most important characteristics for designing analog/RF circuits including operational amplifiers and oscillators. We have analyzed and developed a novel 1/f noise model in the strong inversion, saturation, and sub-threshold regions based on SPICE2 type model used in any public metal-oxide-semiconductor field-effect transistor (MOSFET) models developed by the University of California, Berkeley. Our model contains two noise generation mechanisms that are mobility and interface trap number fluctuations. Noise variability dependent on gate voltage is also newly implemented in our model. The proposed model has been implemented in BSIM4 model of a SPICE3 compatible circuit simulator. Parameters of the proposed model are extracted with 1/f noise measurements for simulation verifications. The simulation results show excellent agreements between measurement and simulations.

Implementation of non-condensable gases condensation suppression model into the WCOBRA/TRAC-TF2 LOCA safety evaluation code

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liao, J.; Cao, L.; Ohkawa, K.

2012-07-01

The non-condensable gases condensation suppression model is important for a realistic LOCA safety analysis code. A condensation suppression model for direct contact condensation was previously developed by Westinghouse using first principles. The model is believed to be an accurate description of the direct contact condensation process in the presence of non-condensable gases. The Westinghouse condensation suppression model is further revised by applying a more physical model. The revised condensation suppression model is thus implemented into the WCOBRA/TRAC-TF2 LOCA safety evaluation code for both 3-D module (COBRA-TF) and 1-D module (TRAC-PF1). Parametric study using the revised Westinghouse condensation suppression model ismore » conducted. Additionally, the performance of non-condensable gases condensation suppression model is examined in the ACHILLES (ISP-25) separate effects test and LOFT L2-5 (ISP-13) integral effects test. (authors)« less

Families Helping Families: Implementing a Multifamily Therapy Group with Substance-Abusing Adolescents.

ERIC Educational Resources Information Center

Springer, David W.; Orsbon, Sarah H.

2002-01-01

In treating a substance-abusing adolescent, the family is a key target of intervention. Multifamily therapy groups (MFTGs) have been used to involve families in treatment and have been found to be effective with a variety of populations. This article provides a theoretical overview of a MFTG model and describes the implementation of the model with…

Value Added Models and the Implementation of the National Standards of K-12 Physical Education

ERIC Educational Resources Information Center

Seymour, Clancy M.; Garrison, Mark J.

2017-01-01

The implementation of value-added models of teacher evaluation continue to expand in public education, but the effects of using student test scores to evaluate K-12 physical educators necessitates further discussion. Using the five National Standards for K-12 Physical Education from the Society of Health and Physical Educators America (SHAPE),…

Determining the Roles of Mentors in the Teachers' Use of Technology: Implementation of Systems-Based Mentoring Model

ERIC Educational Resources Information Center

Gökoglu, Seyfullah; Çakiroglu, Ünal

2017-01-01

The aim of this case study is to evaluate the effect of mentors on teachers' technology integration process into their classrooms. In integration process, interactions between the mentors and the teachers are implemented in terms of Systems-Based Mentoring Model (SBMM). Mentors' leadership roles were determined and changes in teachers' technology…

Stimulating household flood risk mitigation investments through insurance and subsidies: an Agent-Based Modelling approach

NASA Astrophysics Data System (ADS)

Haer, Toon; Botzen, Wouter; de Moel, Hans; Aerts, Jeroen

2015-04-01

In the period 1998-2009, floods triggered roughly 52 billion euro in insured economic losses making floods the most costly natural hazard in Europe. Climate change and socio/economic trends are expected to further aggrevate floods losses in many regions. Research shows that flood risk can be significantly reduced if households install protective measures, and that the implementation of such measures can be stimulated through flood insurance schemes and subsidies. However, the effectiveness of such incentives to stimulate implementation of loss-reducing measures greatly depends on the decision process of individuals and is hardly studied. In our study, we developed an Agent-Based Model that integrates flood damage models, insurance mechanisms, subsidies, and household behaviour models to assess the effectiveness of different economic tools on stimulating households to invest in loss-reducing measures. Since the effectiveness depends on the decision making process of individuals, the study compares different household decision models ranging from standard economic models, to economic models for decision making under risk, to more complex decision models integrating economic models and risk perceptions, opinion dynamics, and the influence of flood experience. The results show the effectiveness of incentives to stimulate investment in loss-reducing measures for different household behavior types, while assuming climate change scenarios. It shows how complex decision models can better reproduce observed real-world behaviour compared to traditional economic models. Furthermore, since flood events are included in the simulations, the results provide an analysis of the dynamics in insured and uninsured losses for households, the costs of reducing risk by implementing loss-reducing measures, the capacity of the insurance market, and the cost of government subsidies under different scenarios. The model has been applied to the City of Rotterdam in The Netherlands.

Protocol for a statewide randomized controlled trial to compare three training models for implementing an evidence-based treatment.

PubMed

Herschell, Amy D; Kolko, David J; Scudder, Ashley T; Taber-Thomas, Sarah; Schaffner, Kristen F; Hiegel, Shelley A; Iyengar, Satish; Chaffin, Mark; Mrozowski, Stanley

2015-09-28

Evidence-based treatments (EBTs) are available for treating childhood behavioral health challenges. Despite EBTs' potential to help children and families, they have primarily remained in university settings. Little empirical evidence exists regarding how specific, commonly used training and quality control models are effective in changing practice, achieving full implementation, and supporting positive client outcomes. This study (NIMH RO1 MH095750; ClinicalTrials.gov Identifier: NCT02543359), which is currently in progress, will evaluate the effectiveness of three training models (Learning Collaborative (LC), Cascading Model (CM), and Distance Education (DE)) to implement a well-established EBT , Parent-Child Interaction Therapy, in real-world, community settings. The three models differ in their costs, skill training, quality control methods, and capacity to address broader implementation challenges. The project is guided by three specific aims: (1) to build knowledge about training outcomes, (2) to build knowledge about implementation outcomes, and (3) to test the differential impact of training clinicians using LC, CM, and DE models on key client outcomes. Fifty (50) licensed psychiatric clinics across Pennsylvania were randomized to one of the three training conditions: (1) LC, (2) CM, or (3) DE. The impact of training on practice skills (clinician level) and implementation/sustainment outcomes (clinic level) are being evaluated at four timepoints coinciding with the training schedule: baseline, 6 (mid), 12 (post), and 24 months (1 year follow-up). Immediately after training begins, parent-child dyads (client level) are recruited from the caseloads of participating clinicians. Client outcomes are being assessed at four timepoints (pre-treatment, 1, 6, and 12 months after the pre-treatment). This proposal builds on an ongoing initiative to implement an EBT statewide. A team of diverse stakeholders including state policy makers, payers, consumers, service providers, and academics from different, but complementary areas (e.g., public health, social work, psychiatry), has been assembled to guide the research plan by incorporating input from multidimensional perspective. ClinicalTrials.gov: NCT02543359.

Using mobile health technology to improve behavioral skill implementation through homework in evidence-based parenting intervention for disruptive behavior disorders in youth: study protocol for intervention development and evaluation.

PubMed

Chacko, Anil; Isham, Andrew; Cleek, Andrew F; McKay, Mary M

2016-01-01

Disruptive behavior disorders (DBDs) (oppositional defiant disorder (ODD) and conduct disorder (CD)) are prevalent, costly, and oftentimes chronic psychiatric disorders of childhood. Evidence-based interventions that focus on assisting parents to utilize effective skills to modify children's problematic behaviors are first-line interventions for the treatment of DBDs. Although efficacious, the effects of these interventions are often attenuated by poor implementation of the skills learned during treatment by parents, often referred to as between-session homework. The multiple family group (MFG) model is an evidence-based, skills-based intervention model for the treatment of DBDs in school-age youth residing in urban, socio-economically disadvantaged communities. While data suggest benefits of MFG on DBD behaviors, similar to other skill-based interventions, the effects of MFG are mitigated by the poor homework implementation, despite considerable efforts to support parents in homework implementation. This paper focuses on the study protocol for the development and preliminary evaluation of a theory-based, smartphone mobile health (mHealth) application (My MFG) to support homework implementation by parents participating in MFG. This paper describes a study design proposal that begins with a theoretical model, uses iterative design processes to develop My MFG to support homework implementation in MFG through a series of pilot studies, and a small-scale pilot randomised controlled trial to determine if the intervention can demonstrate change (preliminary efficacy) of My MFG in outpatient mental health settings in socioeconomically disadvantaged communities. This preliminary study aims to understand the implementation of mHealth methods to improve the effectiveness of evidence-based interventions in routine outpatient mental health care settings for youth with disruptive behavior and their families. Developing methods to augment the benefits of evidence-based interventions, such as MFG, where homework implementation is an essential mediator of treatment benefits is critical to full adoption/implementation of these intervention in routine practice settings and maximizing benefits for youth with DBDs and their families. ClinicalTrials.gov NCT01917838.

Research and Implementation of Tibetan Word Segmentation Based on Syllable Methods

NASA Astrophysics Data System (ADS)

Jiang, Jing; Li, Yachao; Jiang, Tao; Yu, Hongzhi

2018-03-01

Tibetan word segmentation (TWS) is an important problem in Tibetan information processing, while abbreviated word recognition is one of the key and most difficult problems in TWS. Most of the existing methods of Tibetan abbreviated word recognition are rule-based approaches, which need vocabulary support. In this paper, we propose a method based on sequence tagging model for abbreviated word recognition, and then implement in TWS systems with sequence labeling models. The experimental results show that our abbreviated word recognition method is fast and effective and can be combined easily with the segmentation model. This significantly increases the effect of the Tibetan word segmentation.

Development and Validation of a Principal Implementation Practices Measure: The Principal Implementation Questionnaire

PubMed Central

Nettles, Stephen M.; Petscher, Yaacov

2015-01-01

Measurement of principal implementation behaviors has proved difficult to researchers in educational leadership due to a lack of consensus on the operational definitions of leadership constructs. The Principal Implementation Questionnaire (PIQ) was developed and validated with the intention of providing clarity in the assessment of principal leadership behaviors in the implementation of effective reading programs. Constructs were operationally defined within the context of the population of interest, with subsequent item writing centered around the constructs. A resulting calibration sample of principals from Florida Reading First schools was used to test the hypothesized measurement model to determine how well the items were described by the proposed factors. Results from LISREL analyses revealed a well-fitted model, based on numerous fit indices. PMID:26366043

Non-linear mixed effects modeling - from methodology and software development to driving implementation in drug development science.

PubMed

Pillai, Goonaseelan Colin; Mentré, France; Steimer, Jean-Louis

2005-04-01

Few scientific contributions have made significant impact unless there was a champion who had the vision to see the potential for its use in seemingly disparate areas-and who then drove active implementation. In this paper, we present a historical summary of the development of non-linear mixed effects (NLME) modeling up to the more recent extensions of this statistical methodology. The paper places strong emphasis on the pivotal role played by Lewis B. Sheiner (1940-2004), who used this statistical methodology to elucidate solutions to real problems identified in clinical practice and in medical research and on how he drove implementation of the proposed solutions. A succinct overview of the evolution of the NLME modeling methodology is presented as well as ideas on how its expansion helped to provide guidance for a more scientific view of (model-based) drug development that reduces empiricism in favor of critical quantitative thinking and decision making.

Redesigning inpatient care: Testing the effectiveness of an accountable care team model.

PubMed

Kara, Areeba; Johnson, Cynthia S; Nicley, Amy; Niemeier, Michael R; Hui, Siu L

2015-12-01

US healthcare underperforms on quality and safety metrics. Inpatient care constitutes an immense opportunity to intervene to improve care. Describe a model of inpatient care and measure its impact. A quantitative assessment of the implementation of a new model of care. The graded implementation of the model allowed us to follow outcomes and measure their association with the dose of the implementation. Inpatient medical and surgical units in a large academic health center. Eight interventions rooted in improving interprofessional collaboration (IPC), enabling data-driven decisions, and providing leadership were implemented. Outcome data from August 2012 to December 2013 were analyzed using generalized linear mixed models for associations with the implementation of the model. Length of stay (LOS) index, case-mix index-adjusted variable direct costs (CMI-adjusted VDC), 30-day readmission rates, overall patient satisfaction scores, and provider satisfaction with the model were measured. The implementation of the model was associated with decreases in LOS index (P < 0.0001) and CMI-adjusted VDC (P = 0.0006). We did not detect improvements in readmission rates or patient satisfaction scores. Most providers (95.8%, n = 92) agreed that the model had improved the quality and safety of the care delivered. Creating an environment and framework in which IPC is fostered, performance data are transparently available, and leadership is provided may improve value on both medical and surgical units. These interventions appear to be well accepted by front-line staff. Readmission rates and patient satisfaction remain challenging. © 2015 Society of Hospital Medicine.

Development and implementation of an integrated chronic disease model in South Africa: lessons in the management of change through improving the quality of clinical practice

PubMed Central

Asmall, Shaidah

2015-01-01

Background South Africa is facing a complex burden of disease arising from a combination of chronic infectious illness and non-communicable diseases. As the burden of chronic diseases (communicable and non-communicable) increases, providing affordable and effective care to the increasing numbers of chronic patients will be an immense challenge. Methods The framework recommended by the Medical Research Council of the United Kingdom for the development and evaluation of complex health interventions was used to conceptualise the intervention. The breakthrough series was utilised for the implementation process. These two frameworks were embedded within the clinical practice improvement model that served as the overarching framework for the development and implementation of the model. Results The Chronic Care Model was ideally suited to improve the facility component and patient experience; however, the deficiencies in other aspects of the health system building blocks necessitated a hybrid model. An integrated chronic disease management model using a health systems approach was initiated across 42 primary health care facilities. The interventions were implemented in a phased approach using learning sessions and action periods to introduce the planned and targeted changes. Conclusion The implementation of the integrated chronic disease management model is feasible at primary care in South Africa provided that systemic challenges and change management are addressed during the implementation process. PMID:26528101

Development and implementation of an integrated chronic disease model in South Africa: lessons in the management of change through improving the quality of clinical practice.

PubMed

Mahomed, Ozayr Haroon; Asmall, Shaidah

2015-01-01

South Africa is facing a complex burden of disease arising from a combination of chronic infectious illness and non-communicable diseases. As the burden of chronic diseases (communicable and non-communicable) increases, providing affordable and effective care to the increasing numbers of chronic patients will be an immense challenge. The framework recommended by the Medical Research Council of the United Kingdom for the development and evaluation of complex health interventions was used to conceptualise the intervention. The breakthrough series was utilised for the implementation process. These two frameworks were embedded within the clinical practice improvement model that served as the overarching framework for the development and implementation of the model. The Chronic Care Model was ideally suited to improve the facility component and patient experience; however, the deficiencies in other aspects of the health system building blocks necessitated a hybrid model. An integrated chronic disease management model using a health systems approach was initiated across 42 primary health care facilities. The interventions were implemented in a phased approach using learning sessions and action periods to introduce the planned and targeted changes. The implementation of the integrated chronic disease management model is feasible at primary care in South Africa provided that systemic challenges and change management are addressed during the implementation process.

Implementation of Laminate Theory Into Strain Rate Dependent Micromechanics Analysis of Polymer Matrix Composites

NASA Technical Reports Server (NTRS)

Goldberg, Robert K.

2000-01-01

A research program is in progress to develop strain rate dependent deformation and failure models for the analysis of polymer matrix composites subject to impact loads. Previously, strain rate dependent inelastic constitutive equations developed to model the polymer matrix were implemented into a mechanics of materials based micromechanics method. In the current work, the computation of the effective inelastic strain in the micromechanics model was modified to fully incorporate the Poisson effect. The micromechanics equations were also combined with classical laminate theory to enable the analysis of symmetric multilayered laminates subject to in-plane loading. A quasi-incremental trapezoidal integration method was implemented to integrate the constitutive equations within the laminate theory. Verification studies were conducted using an AS4/PEEK composite using a variety of laminate configurations and strain rates. The predicted results compared well with experimentally obtained values.

A model of evaluation planning, implementation and management: Toward a ?culture of information? within organizations

NASA Astrophysics Data System (ADS)

Bhola, H. S.

1992-03-01

The argument underlying the ongoing "paradigm shift" from logical positivism to constructionism is briefly laid out. A model of evaluation planning, implementation and management (called the P-I-M Model, for short) is then presented that assumes a complementarity between the two paradigms. The model further implies that for effective decision-making within human organizations, both "evaluative data" and "descriptive data" are needed. "Evaluative data" generated by evaluation studies must, therefore, be undergirded by an appropriate management information system (MIS) that can generate "descriptive data", concurrently with the process of program implementation. The P-I-M Model, if fully actualized, will enable human organizations to become vibrant "cultures of information" where "informed" decision-making becomes a shared norm among all stakeholders.

Ten steps for managing organizational change.

PubMed

Bolton, L B; Aydin, C; Popolow, G; Ramseyer, J

1992-06-01

Managing interdepartmental relations in healthcare organizations is a major challenge for nursing administrators. The authors describe the implementation process of an organization-wide change effort involving individuals from departments throughout the medical center. These strategies can serve as a model to guide effective planning in other institutions embarking on change projects, resulting in smoother and more effective implementation of interdepartmental change.

The US Air Force suicide prevention program: implications for public health policy.

PubMed

Knox, Kerry L; Pflanz, Steven; Talcott, Gerald W; Campise, Rick L; Lavigne, Jill E; Bajorska, Alina; Tu, Xin; Caine, Eric D

2010-12-01

We evaluated the effectiveness of the US Air Force Suicide Prevention Program (AFSPP) in reducing suicide, and we measured the extent to which air force installations implemented the program. We determined the AFSPP's impact on suicide rates in the air force by applying an intervention regression model to data from 1981 through 2008, providing 16 years of data before the program's 1997 launch and 11 years of data after launch. Also, we measured implementation of program components at 2 points in time: during a 2004 increase in suicide rates, and 2 years afterward. Suicide rates in the air force were significantly lower after the AFSPP was launched than before, except during 2004. We also determined that the program was being implemented less rigorously in 2004. The AFSPP effectively prevented suicides in the US Air Force. The long-term effectiveness of this program depends upon extensive implementation and effective monitoring of implementation. Suicides can be reduced through a multilayered, overlapping approach that encompasses key prevention domains and tracks implementation of program activities.

PROPEL: implementation of an evidence based pelvic floor muscle training intervention for women with pelvic organ prolapse: a realist evaluation and outcomes study protocol.

PubMed

Maxwell, Margaret; Semple, Karen; Wane, Sarah; Elders, Andrew; Duncan, Edward; Abhyankar, Purva; Wilkinson, Joyce; Tincello, Douglas; Calveley, Eileen; MacFarlane, Mary; McClurg, Doreen; Guerrero, Karen; Mason, Helen; Hagen, Suzanne

2017-12-22

Pelvic Organ Prolapse (POP) is estimated to affect 41%-50% of women aged over 40. Findings from the multi-centre randomised controlled "Pelvic Organ Prolapse PhysiotherapY" (POPPY) trial showed that individualised pelvic floor muscle training (PFMT) was effective in reducing symptoms of prolapse, improved quality of life and showed clear potential to be cost-effective. However, provision of PFMT for prolapse continues to vary across the UK, with limited numbers of women's health physiotherapists specialising in its delivery. Implementation of this robust evidence from the POPPY trial will require attention to different models of delivery (e.g. staff skill mix) to fit with differing care environments. A Realist Evaluation (RE) of implementation and outcomes of PFMT delivery in contrasting NHS settings will be conducted using multiple case study sites. Involving substantial local stakeholder engagement will permit a detailed exploration of how local sites make decisions on how to deliver PFMT and how these lead to service change. The RE will track how implementation is working; identify what influences outcomes; and, guided by the RE-AIM framework, will collect robust outcomes data. This will require mixed methods data collection and analysis. Qualitative data will be collected at four time-points across each site to understand local contexts and decisions regarding options for intervention delivery and to monitor implementation, uptake, adherence and outcomes. Patient outcome data will be collected at baseline, six months and one year follow-up for 120 women. Primary outcome will be the Pelvic Organ Prolapse Symptom Score (POP-SS). An economic evaluation will assess the costs and benefits associated with different delivery models taking account of further health care resource use by the women. Cost data will be combined with the primary outcome in a cost effectiveness analysis, and the EQ-5D-5L data in a cost utility analysis for each of the different models of delivery. Study of the implementation of varying models of service delivery of PFMT across contrasting sites combined with outcomes data and a cost effectiveness analysis will provide insight into the implementation and value of different models of PFMT service delivery and the cost benefits to the NHS in the longer term.

Adapting Certified Safe Farm to North Carolina Agriculture: An Implementation Study.

PubMed

Storm, Julia F; LePrevost, Catherine E; Tutor-Marcom, Robin; Cope, W Gregory

2016-01-01

Certified Safe Farm (CSF) is a multimodal safety and health program developed and assessed through multiple controlled intervention studies in Iowa. Although developed with the intent to be broadly applicable to agriculture, CSF has not been widely implemented outside the midwestern United States. This article describes the CSF implementation process in North Carolina (NC), as piloted on a large-scale in three agriculturally diverse and productive counties of NC, and reports its effectiveness using the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework. Implementation involved (1) capacity building through safety and health training, (2) adaptation of components of Iowa's CSF model to NC agriculture, (3) marketing and recruitment, and (4) formative evaluation, including an online survey and focus group discussion. From 2009 to 2012, 113 farms participated in at least one component of the CSF intervention, representing a NC farm participation rate of 3.1% in the study area. A major adaptation of NC implementation was the utilization of NC Cooperative Extension as the local driver of implementation in contrast to local AgriSafe clinics in Iowa. The most innovative adaptation to CSF components was the development of a defined economic incentive in the form of a cost-share program. The RE-AIM framework was found to be useful and relevant to the field of agricultural health and safety translational research. This study provides effectiveness measures and implementation alternatives useful for those considering implementing CSF. It informs current efforts to move CSF from research to practice through the National Sustainable Model CSF Program initiative.

A finite element model of rigid body structures actuated by dielectric elastomer actuators

NASA Astrophysics Data System (ADS)

Simone, F.; Linnebach, P.; Rizzello, G.; Seelecke, S.

2018-06-01

This paper presents on finite element (FE) modeling and simulation of dielectric elastomer actuators (DEAs) coupled with articulated structures. DEAs have proven to represent an effective transduction technology for the realization of large deformation, low-power consuming, and fast mechatronic actuators. However, the complex dynamic behavior of the material, characterized by nonlinearities and rate-dependent phenomena, makes it difficult to accurately model and design DEA systems. The problem is further complicated in case the DEA is used to activate articulated structures, which increase both system complexity and implementation effort of numerical simulation models. In this paper, we present a model based tool which allows to effectively implement and simulate complex articulated systems actuated by DEAs. A first prototype of a compact switch actuated by DEA membranes is chosen as reference study to introduce the methodology. The commercially available FE software COMSOL is used for implementing and coupling a physics-based dynamic model of the DEA with the external structure, i.e., the switch. The model is then experimentally calibrated and validated in both quasi-static and dynamic loading conditions. Finally, preliminary results on how to use the simulation tool to optimize the design are presented.

The Potential Effects of the Defense Business Board Military Compensation Task Group’s 2011 Recommendations on Active-Duty Service Member Retirement

DTIC Science & Technology

2012-12-01

system be implemented. In this study, we created a mathematical model to simulate accumulated savings under the proposed defined...retirement system be implemented. In this study, we created a mathematical model to simulate accumulated savings under the proposed defined...lumbering recovery, it has reemerged as a potential austerity measure within the U.S. government. B. METHODOLOGY We created a mathematical model of

Constitutive modeling and structural analysis considering simultaneous phase transformation and plastic yield in shape memory alloys

NASA Astrophysics Data System (ADS)

Hartl, D. J.; Lagoudas, D. C.

2009-10-01

The new developments summarized in this work represent both theoretical and experimental investigations of the effects of plastic strain generation in shape memory alloys (SMAs). Based on the results of SMA experimental characterization described in the literature and additional testing described in this work, a new 3D constitutive model is proposed. This phenomenological model captures both the conventional shape memory effects of pseudoelasticity and thermal strain recovery, and additionally considers the initiation and evolution of plastic strains. The model is numerically implemented in a finite element framework using a return mapping algorithm to solve the constitutive equations at each material point. This combination of theory and implementation is unique in its ability to capture the simultaneous evolution of recoverable transformation strains and irrecoverable plastic strains. The consideration of isotropic and kinematic plastic hardening allows the derivation of a theoretical framework capturing the interactions between irrecoverable plastic strain and recoverable strain due to martensitic transformation. Further, the numerical integration of the constitutive equations is formulated such that objectivity is maintained for SMA structures undergoing moderate strains and large displacements. The implemented model has been used to perform 3D analysis of SMA structural components under uniaxial and bending loads, including a case of local buckling behavior. Experimentally validated results considering simultaneous transformation and plasticity in a bending member are provided, illustrating the predictive accuracy of the model and its implementation.

A quantum-implementable neural network model

NASA Astrophysics Data System (ADS)

Chen, Jialin; Wang, Lingli; Charbon, Edoardo

2017-10-01

A quantum-implementable neural network, namely quantum probability neural network (QPNN) model, is proposed in this paper. QPNN can use quantum parallelism to trace all possible network states to improve the result. Due to its unique quantum nature, this model is robust to several quantum noises under certain conditions, which can be efficiently implemented by the qubus quantum computer. Another advantage is that QPNN can be used as memory to retrieve the most relevant data and even to generate new data. The MATLAB experimental results of Iris data classification and MNIST handwriting recognition show that much less neuron resources are required in QPNN to obtain a good result than the classical feedforward neural network. The proposed QPNN model indicates that quantum effects are useful for real-life classification tasks.

Avoidable cost of alcohol abuse in Canada.

PubMed

Rehm, Jürgen; Patra, Jayadeep; Gnam, William H; Sarnocinska-Hart, Anna; Popova, Svetlana

2011-01-01

To estimate avoidable burden and avoidable costs of alcohol abuse in Canada for the year 2002. A policy effectiveness approach was used. The impact of six effective and cost-effective alcohol policy interventions aimed to reduce alcohol consumption was modeled. In addition, the effect of privatized alcohol sales that would increase alcohol consumption and alcohol-attributable costs was also modeled. The effects of these interventions were compared with the baseline (aggregate) costs obtained from the second Canadian Study of Social Costs Attributable to Substance Abuse. It was estimated that by implementing six cost-effective policies from about 900 million to two billion Canadian dollars per year could be saved in Canada. The greatest savings due to the implementation of these interventions would be achieved in the lowering of productivity losses, followed by health care, and criminality. Substantial increases in burden and cost would occur if Canadian provinces were to privatize alcohol sales. The implementation of proven effective population-based interventions would reduce alcohol-attributable burden and its costs in Canada to a considerable degree. Copyright © 2010 S. Karger AG, Basel.

Testing the 4Rs and 2Ss Multiple Family Group intervention: study protocol for a randomized controlled trial.

PubMed

Acri, Mary; Hamovitch, Emily; Mini, Maria; Garay, Elene; Connolly, Claire; McKay, Mary

2017-12-04

Oppositional defiant disorder (ODD) is a major mental health concern and highly prevalent among children living in poverty-impacted communities. Despite that treatments for ODD are among the most effective, few children living in poverty receive these services due to substantial barriers to access, as well as difficulties in the uptake and sustained adoption of evidence-based practices (EBPs) in community settings. The purpose of this study is to examine implementation processes that impact uptake of an evidence-based practice for childhood ODD, and the impact of a Clinic Implementation Team (CIT)-driven structured adaptation to enhance its fit within the public mental health clinic setting. This study, a Hybrid Type II effectiveness-implementation research trial, blends clinical effectiveness and implementation research methods to examine the impact of the 4Rs and 2Ss Multiple Family Group (MFG) intervention, family level mediators of child outcomes, clinic/provider-level mediators of implementation, and the impact of CITs on uptake and long-term utilization of this model. All New York City public outpatient mental health clinics have been invited to participate. A sampling procedure that included randomization at the agency level and a sub-study to examine the impact of clinic choice upon outcomes yielded a distribution of clinics across three study conditions. Quantitative data measuring child outcomes, organizational factors and implementation fidelity will be collected from caregivers and providers at baseline, 8, and 16 weeks from baseline, and 6 months from treatment completion. The expected participation is 134 clinics, 268 providers, and 2688 caregiver/child dyads. We will use mediation analysis with a multi-level Structural Equation Modeling (SEM) (MSEM including family level variables, provider variables, and clinic variables), as well as mediation tests to examine study hypotheses. The aim of the study is to generate knowledge about effectiveness and mediating factors in the treatment of ODDs in children in the context of family functioning, and to propose an innovative approach to the adaptation and implementation of new treatment interventions within clinic settings. The proposed CIT adaptation and implementation model has the potential to enhance implementation and sustainability, and ultimately increase the extent to which effective interventions are available and can impact children and families in need of services for serious behavior problems. ClinicalTrials.gov, ID: NCT02715414 . Registered on 3 March 2016.

Implementing RtI with Gifted Students

ERIC Educational Resources Information Center

Coleman, Mary Ruth, Ed.; Johnsen, Susan K., Ed.

2012-01-01

"Implementing RtI With Gifted Students" shares how RtI can fit within the framework of gifted education programming models. This edited book will serve as a reference guide for those interested in learning more about RtI and how it might be effectively implemented to meet the needs of all gifted students. Chapters contributed by top gifted…

Taking School-Based Substance Abuse Prevention to Scale: District-Wide Implementation of Keep a Clear Mind

ERIC Educational Resources Information Center

Jowers, Keri L.; Bradshaw, Catherine P.; Gately, Sherry

2007-01-01

Public schools are under increased pressure to implement evidence-based substance abuse prevention programs. A number of model programs have been identified, but little research has examined the effectiveness of these programs when "brought to scale" or implemented district-wide. The current paper summarizes the application of the Adelman and…

Applying the Five-Step Model of Fidelity Assessment to a Randomized Experiment of a High School STEM Intervention

ERIC Educational Resources Information Center

Kopp, Jason P.; Hulleman, Chris S.; Harackiewicz, Judith M.; Rozek, Chris

2012-01-01

Assessing fidelity of implementation is becoming increasingly important in education research, in particular as a tool for understanding variations in treatment effectiveness. Fidelity of implementation is defined as "the determination of how well an intervention is implemented in comparison with the original program design during an efficacy…

Practical Applications of Response-to-Intervention Research

ERIC Educational Resources Information Center

Griffiths, Amy-Jane; VanDerHeyden, Amanda M.; Parson, Lorien B.; Burns, Matthew K.

2006-01-01

Several approaches to response to intervention (RTI) described in the literature could be blended into an RTI model that would be effective in the schools. An effective RTI model should employ three fundamental variables: (a) systematic data collection to identify students in need, (b) effective implementation of interventions for adequate…

Costs and cost-effectiveness of full implementation of a biennial faecal occult blood test screening program for bowel cancer in Australia.

PubMed

Pignone, Michael P; Flitcroft, Kathy L; Howard, Kirsten; Trevena, Lyndal J; Salkeld, Glenn P; St John, D James B

2011-02-21

To examine the costs and cost-effectiveness of full implementation of biennial bowel cancer screening for Australian residents aged 50-74 years. Identification of existing economic models from 1993 to 2010 through searches of PubMed and economic analysis databases, and by seeking expert advice; and additional modelling to determine the costs and cost-effectiveness of full implementation of biennial faecal occult blood test screening for the five million adults in Australia aged 50-74 years. Estimated number of deaths from bowel cancer prevented, costs, and cost-effectiveness (cost per life-year gained [LYG]) of biennial bowel cancer screening. We identified six relevant economic analyses, all of which found colorectal cancer (CRC) screening to be very cost-effective, with costs per LYG under $55,000 per year in 2010 Australian dollars. Based on our additional modelling, we conservatively estimate that full implementation of biennial screening for people aged 50-74 years would have gross costs of $150 million, reduce CRC mortality by 15%-25%, prevent 300-500 deaths from bowel cancer, and save 3600-6000 life-years annually, for an undiscounted cost per LYG of $25,000-$41,667, compared with no screening, and not taking cost savings as a result of treatment into consideration. The additional expenditure required, after accounting for reductions in CRC incidence, savings in CRC treatment costs, and existing ad-hoc colonoscopy use, is likely to be less than $50 million annually. Full implementation of biennial faecal occult blood test screening in Australia can reduce bowel cancer mortality, and is an efficient use of health resources that would require modest additional government investment.

A framework for multi-criteria assessment of model enhancements

NASA Astrophysics Data System (ADS)

Francke, Till; Foerster, Saskia; Brosinsky, Arlena; Delgado, José; Güntner, Andreas; López-Tarazón, José A.; Bronstert, Axel

2016-04-01

Modellers are often faced with unsatisfactory model performance for a specific setup of a hydrological model. In these cases, the modeller may try to improve the setup by addressing selected causes for the model errors (i.e. data errors, structural errors). This leads to adding certain "model enhancements" (MEs), e.g. climate data based on more monitoring stations, improved calibration data, modifications in process formulations. However, deciding on which MEs to implement remains a matter of expert knowledge, guided by some sensitivity analysis at best. When multiple MEs have been implemented, a resulting improvement in model performance is not easily attributed, especially when considering different aspects of this improvement (e.g. better performance dynamics vs. reduced bias). In this study we present an approach for comparing the effect of multiple MEs in the face of multiple improvement aspects. A stepwise selection approach and structured plots help in addressing the multidimensionality of the problem. The approach is applied to a case study, which employs the meso-scale hydrosedimentological model WASA-SED for a sub-humid catchment. The results suggest that the effect of the MEs is quite diverse, with some MEs (e.g. augmented rainfall data) cause improvements for almost all aspects, while the effect of other MEs is restricted to few aspects or even deteriorate some. These specific results may not be generalizable. However, we suggest that based on studies like this, identifying the most promising MEs to implement may be facilitated.

Multi-Dimensional Quantum Tunneling and Transport Using the Density-Gradient Model

NASA Technical Reports Server (NTRS)

Biegel, Bryan A.; Yu, Zhi-Ping; Ancona, Mario; Rafferty, Conor; Saini, Subhash (Technical Monitor)

1999-01-01

We show that quantum effects are likely to significantly degrade the performance of MOSFETs (metal oxide semiconductor field effect transistor) as these devices are scaled below 100 nm channel length and 2 nm oxide thickness over the next decade. A general and computationally efficient electronic device model including quantum effects would allow us to monitor and mitigate these effects. Full quantum models are too expensive in multi-dimensions. Using a general but efficient PDE solver called PROPHET, we implemented the density-gradient (DG) quantum correction to the industry-dominant classical drift-diffusion (DD) model. The DG model efficiently includes quantum carrier profile smoothing and tunneling in multi-dimensions and for any electronic device structure. We show that the DG model reduces DD model error from as much as 50% down to a few percent in comparison to thin oxide MOS capacitance measurements. We also show the first DG simulations of gate oxide tunneling and transverse current flow in ultra-scaled MOSFETs. The advantages of rapid model implementation using the PDE solver approach will be demonstrated, as well as the applicability of the DG model to any electronic device structure.

A Weather Radar Simulator for the Evaluation of Polarimetric Phased Array Performance

DOE Office of Scientific and Technical Information (OSTI.GOV)

Byrd, Andrew D.; Ivic, Igor R.; Palmer, Robert D.

A radar simulator capable of generating time series data for a polarimetric phased array weather radar has been designed and implemented. The received signals are composed from a high-resolution numerical prediction weather model. Thousands of scattering centers, each with an independent randomly generated Doppler spectrum, populate the field of view of the radar. The moments of the scattering center spectra are derived from the numerical weather model, and the scattering center positions are updated based on the three-dimensional wind field. In order to accurately emulate the effects of the system-induced cross-polar contamination, the array is modeled using a complete setmore » of dual-polarization radiation patterns. The simulator offers reconfigurable element patterns and positions as well as access to independent time series data for each element, resulting in easy implementation of any beamforming method. It also allows for arbitrary waveform designs and is able to model the effects of quantization on waveform performance. Simultaneous, alternating, quasi-simultaneous, and pulse-to-pulse phase coded modes of polarimetric signal transmission have been implemented. This framework allows for realistic emulation of the effects of cross-polar fields on weather observations, as well as the evaluation of possible techniques for the mitigation of those effects.« less

Using the Whole School, Whole Community, Whole Child Model: Implications for Practice

PubMed Central

Rooney, Laura E; Videto, Donna M; Birch, David A

2015-01-01

BACKGROUND Schools, school districts, and communities seeking to implement the Whole School, Whole Community, Whole Child (WSCC) model should carefully and deliberately select planning, implementation, and evaluation strategies. METHODS In this article, we identify strategies, steps, and resources within each phase that can be integrated into existing processes that help improve health outcomes and academic achievement. Implementation practices may vary across districts depending upon available resources and time commitments. RESULTS Obtaining and maintaining administrative support at the beginning of the planning phase is imperative for identifying and implementing strategies and sustaining efforts to improve student health and academic outcomes. Strategy selection hinges on priority needs, community assets, and resources identified through the planning process. Determining the results of implementing the WSCC is based upon a comprehensive evaluation that begins during the planning phase. Evaluation guides success in attaining goals and objectives, assesses strengths and weaknesses, provides direction for program adjustment, revision, and future planning, and informs stakeholders of the effect of WSCC, including the effect on academic indicators. CONCLUSIONS With careful planning, implementation, and evaluation efforts, use of the WSCC model has the potential of focusing family, community, and school education and health resources to increase the likelihood of better health and academic success for students and improve school and community life in the present and in the future. PMID:26440824

Implementing Accountable Care Organizations: Lessons From a Qualitative Analysis of Four Private Sector Organizations.

PubMed

Walker, Daniel M; Hefner, Jennifer L; Sova, Lindsey N; Hilligoss, Brian; Song, Paula H; McAlearney, Ann Scheck

Accountable care organizations (ACOs) are emerging across the healthcare marketplace and now include Medicare, Medicaid, and private sector payers covering more than 24 million lives. However, little is known about the process of organizational change required to achieve cost savings and quality improvements from the ACO model. This study applies the complex innovation implementation framework to understand the challenges and facilitators associated with the ACO implementation process. We conducted four case studies of private sector ACOs, selected to achieve variation in terms of geography and organizational maturity. Across sites, we used semistructured interviews with 68 key informants to elicit information regarding ACO implementation. Our analysis found challenges and facilitators across all domains in the conceptual framework. Notably, our findings deviated from the framework in two ways. First, findings from the financial resource availability domain revealed both financial and nonfinancial (i.e., labor) resources that contributed to implementation effectiveness. Second, a new domain, patient engagement, emerged as an important factor in implementation effectiveness. We present these deviations in an adapted framework. As the ACO model proliferates, these findings can support implementation efforts, and they highlight the importance of focusing on patients throughout the process. Importantly, this study extends the complex innovation implementation framework to incorporate consumers into the implementation framework, making it more patient centered and aiding future efforts.

Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes

PubMed Central

2011-01-01

Background Logistic random effects models are a popular tool to analyze multilevel also called hierarchical data with a binary or ordinal outcome. Here, we aim to compare different statistical software implementations of these models. Methods We used individual patient data from 8509 patients in 231 centers with moderate and severe Traumatic Brain Injury (TBI) enrolled in eight Randomized Controlled Trials (RCTs) and three observational studies. We fitted logistic random effects regression models with the 5-point Glasgow Outcome Scale (GOS) as outcome, both dichotomized as well as ordinal, with center and/or trial as random effects, and as covariates age, motor score, pupil reactivity or trial. We then compared the implementations of frequentist and Bayesian methods to estimate the fixed and random effects. Frequentist approaches included R (lme4), Stata (GLLAMM), SAS (GLIMMIX and NLMIXED), MLwiN ([R]IGLS) and MIXOR, Bayesian approaches included WinBUGS, MLwiN (MCMC), R package MCMCglmm and SAS experimental procedure MCMC. Three data sets (the full data set and two sub-datasets) were analysed using basically two logistic random effects models with either one random effect for the center or two random effects for center and trial. For the ordinal outcome in the full data set also a proportional odds model with a random center effect was fitted. Results The packages gave similar parameter estimates for both the fixed and random effects and for the binary (and ordinal) models for the main study and when based on a relatively large number of level-1 (patient level) data compared to the number of level-2 (hospital level) data. However, when based on relatively sparse data set, i.e. when the numbers of level-1 and level-2 data units were about the same, the frequentist and Bayesian approaches showed somewhat different results. The software implementations differ considerably in flexibility, computation time, and usability. There are also differences in the availability of additional tools for model evaluation, such as diagnostic plots. The experimental SAS (version 9.2) procedure MCMC appeared to be inefficient. Conclusions On relatively large data sets, the different software implementations of logistic random effects regression models produced similar results. Thus, for a large data set there seems to be no explicit preference (of course if there is no preference from a philosophical point of view) for either a frequentist or Bayesian approach (if based on vague priors). The choice for a particular implementation may largely depend on the desired flexibility, and the usability of the package. For small data sets the random effects variances are difficult to estimate. In the frequentist approaches the MLE of this variance was often estimated zero with a standard error that is either zero or could not be determined, while for Bayesian methods the estimates could depend on the chosen "non-informative" prior of the variance parameter. The starting value for the variance parameter may be also critical for the convergence of the Markov chain. PMID:21605357

Barriers to Effective Implementation of Programs for the Prevention of Workplace Violence in Hospitals.

PubMed

Blando, James; Ridenour, Marilyn; Hartley, Daniel; Casteel, Carri

2015-01-01

Effective workplace violence (WPV) prevention programs are essential, yet challenging to implement in healthcare. The aim of this study was to identify major barriers to implementation of effective violence prevention programs. After reviewing the related literature, the authors describe their research methods and analysis and report the following seven themes as major barriers to effective implementation of workplace violence programs: a lack of action despite reporting; varying perceptions of violence; bullying; profit-driven management models; lack of management accountability; a focus on customer service; and weak social service and law enforcement approaches to mentally ill patients. The authors discuss their findings in light of previous studies and experiences and offer suggestions for decreasing WPV in healthcare settings. They conclude that although many of these challenges to effective implementation of workplace violence programs are both within the program itself and relate to broader industry and societal issues, creative innovations can address these issues and improve WPV prevention programs.

Barriers to Effective Implementation of Programs for the Prevention of Workplace Violence in Hospitals.

PubMed

Blando, James; Ridenour, Marilyn; Hartley, Daniel; Casteel, Carri

2014-12-04

Effective workplace violence (WPV) prevention programs are essential, yet challenging to implement in healthcare. The aim of this study was to identify major barriers to implementation of effective violence prevention programs. After reviewing the related literature, the authors describe their research methods and analysis and report the following seven themes as major barriers to effective implementation of workplace violence programs: a lack of action despite reporting; varying perceptions of violence; bullying; profit-driven management models; lack of management accountability; a focus on customer service; and weak social service and law enforcement approaches to mentally ill patients. The authors discuss their findings in light of previous studies and experiences and offer suggestions for decreasing WPV in healthcare settings. They conclude that although many of these challenges to effective implementation of workplace violence programs are both within the program itself and relate to broader industry and societal issues, creative innovations can address these issues and improve WPV prevention programs.

Analysis of out-of-plane thermal microactuators

NASA Astrophysics Data System (ADS)

Atre, Amarendra

2006-02-01

Out-of-plane thermal microactuators find applications in optical switches to motivate micromirrors. Accurate analysis of such actuators is beneficial for improving existing designs and constructing more energy efficient actuators. However, the analysis is complicated by the nonlinear deformation of the thermal actuators along with temperature-dependent properties of polysilicon. This paper describes the development, modeling issues and results of a three-dimensional multiphysics nonlinear finite element model of surface micromachined out-of-plane thermal actuators. The model includes conductive and convective cooling effects and takes into account the effect of variable air gap on the response of the actuator. The model is implemented to investigate the characteristics of two diverse MUMPs fabricated out-of-plane thermal actuators. Reasonable agreement is observed between simulated and measured results for the model that considers the influence of air gap on actuator response. The usefulness of the model is demonstrated by implementing it to observe the effect of actuator geometry variation on steady-state deflection response.

Cost-effectiveness analysis of implementing an antimicrobial stewardship program in critical care units.

PubMed

Ruiz-Ramos, Jesus; Frasquet, Juan; Romá, Eva; Poveda-Andres, Jose Luis; Salavert-Leti, Miguel; Castellanos, Alvaro; Ramirez, Paula

2017-06-01

To evaluate the cost-effectiveness of antimicrobial stewardship (AS) program implementation focused on critical care units based on assumptions for the Spanish setting. A decision model comparing costs and outcomes of sepsis, community-acquired pneumonia, and nosocomial infections (including catheter-related bacteremia, urinary tract infection, and ventilator-associated pneumonia) in critical care units with or without an AS was designed. Model variables and costs, along with their distributions, were obtained from the literature. The study was performed from the Spanish National Health System (NHS) perspective, including only direct costs. The Incremental Cost-Effectiveness Ratio (ICER) was analysed regarding the ability of the program to reduce multi-drug resistant bacteria. Uncertainty in ICERs was evaluated with probabilistic sensitivity analyses. In the short-term, implementing an AS reduces the consumption of antimicrobials with a net benefit of €71,738. In the long-term, the maintenance of the program involves an additional cost to the system of €107,569. Cost per avoided resistance was €7,342, and cost-per-life-years gained (LYG) was €9,788. Results from the probabilistic sensitivity analysis showed that there was a more than 90% likelihood that an AS would be cost-effective at a level of €8,000 per LYG. Wide variability of economic results obtained from the implementation of this type of AS program and short information on their impact on patient evolution and any resistance avoided. Implementing an AS focusing on critical care patients is a long-term cost-effective tool. Implementation costs are amortized by reducing antimicrobial consumption to prevent infection by multidrug-resistant pathogens.

Estimates of cost-effectiveness of prehospital continuous positive airway pressure in the management of acute pulmonary edema.

PubMed

Hubble, Michael W; Richards, Michael E; Wilfong, Denise A

2008-01-01

To estimate the cost-effectiveness of continuous positive airway pressure (CPAP) in managing prehospital acute pulmonary edema in an urban EMS system. Using estimates from published reports on prehospital and emergency department CPAP, a cost-effectiveness model of implementing CPAP in a typical urban EMS system was derived from the societal perspective as well as the perspective of the implementing EMS system. To assess the robustness of the model, a series of univariate and multivariate sensitivity analyses was performed on the input variables. The cost of consumables, equipment, and training yielded a total cost of $89 per CPAP application. The theoretical system would be expected to use CPAP 4 times per 1000 EMS patients and is expected to save 0.75 additional lives per 1000 EMS patients at a cost of $490 per life saved. CPAP is also expected to result in approximately one less intubation per 6 CPAP applications and reduce hospitalization costs by $4075 per year for each CPAP application. Through sensitivity analyses the model was verified to be robust across a wide range of input variable assumptions. Previous studies have demonstrated the clinical effectiveness of CPAP in the management of acute pulmonary edema. Through a theoretical analysis which modeled the costs and clinical benefits of implementing CPAP in an urban EMS system, prehospital CPAP appears to be a cost-effective treatment.

Evaluating child welfare policies with decision-analytic simulation models.

PubMed

Goldhaber-Fiebert, Jeremy D; Bailey, Stephanie L; Hurlburt, Michael S; Zhang, Jinjin; Snowden, Lonnie R; Wulczyn, Fred; Landsverk, John; Horwitz, Sarah M

2012-11-01

The objective was to demonstrate decision-analytic modeling in support of Child Welfare policymakers considering implementing evidence-based interventions. Outcomes included permanency (e.g., adoptions) and stability (e.g., foster placement changes). Analyses of a randomized trial of KEEP-a foster parenting intervention-and NSCAW-1 estimated placement change rates and KEEP's effects. A microsimulation model generalized these findings to other Child Welfare systems. The model projected that KEEP could increase permanency and stability, identifying strategies targeting higher-risk children and geographical regions that achieve benefits efficiently. Decision-analytic models enable planners to gauge the value of potential implementations.

Optimized planning methodologies of ASON implementation

NASA Astrophysics Data System (ADS)

Zhou, Michael M.; Tamil, Lakshman S.

2005-02-01

Advanced network planning concerns effective network-resource allocation for dynamic and open business environment. Planning methodologies of ASON implementation based on qualitative analysis and mathematical modeling are presented in this paper. The methodology includes method of rationalizing technology and architecture, building network and nodal models, and developing dynamic programming for multi-period deployment. The multi-layered nodal architecture proposed here can accommodate various nodal configurations for a multi-plane optical network and the network modeling presented here computes the required network elements for optimizing resource allocation.

Building SWPBIS Capacity in Rural Schools through Building-Based Coaching: Early Findings from a District-Based Model

ERIC Educational Resources Information Center

Cavanaugh, Brian; Swan, Meaghan

2015-01-01

School-wide Positive Behavioral Interventions and Supports (SWPBIS) is a widely used framework for supporting student social and academic behavior. Implementation science indicates that one effective way to implement and scale-up practices, such as SWPBIS, is through coaching; thus, there is a need for efficient, cost-effective methods to develop…

Time for change in community nursing? A critique of the implementation of the Review of Nursing in the Community across NHS Scotland.

PubMed

Dickson, Caroline A W; Coulter Smith, Margaret A

2013-03-01

Current literature underpinning change is examined and a critique offered of the implementation of the role of the generic Community Health Nurse in Scotland, from a leadership and cultural perspective. In November 2006, Government strategy outlined a new service model for community nursing to be implemented in four demonstration sites across Scotland. Almost two-thirds of community nurses were not supportive of the model. There was belief this generic role would not meet the health needs of patients and carers. Evidence supporting the model is presented and the implementation process evaluated from leadership and cultural perspectives. The literature is examined to offer explanations as to why implementation was unsuccessful. Transformational and transactional leadership at all levels of the organization are required to make change happen. Evidence supporting change provides an impetus for change. The culture of an organization should be recognized and harnessed during the change process. Effective facilitation will empower staff to make change happen. Engagement with staff is vital, at the beginning of the change process. The concept of 'nearby' leadership offers an enabling style of leadership at an individual and group level which will enable effective change. © 2012 Blackwell Publishing Ltd.

Implementing Lumberjacks and Black Swans Into Model-Based Tools to Support Human-Automation Interaction.

PubMed

Sebok, Angelia; Wickens, Christopher D

2017-03-01

The objectives were to (a) implement theoretical perspectives regarding human-automation interaction (HAI) into model-based tools to assist designers in developing systems that support effective performance and (b) conduct validations to assess the ability of the models to predict operator performance. Two key concepts in HAI, the lumberjack analogy and black swan events, have been studied extensively. The lumberjack analogy describes the effects of imperfect automation on operator performance. In routine operations, an increased degree of automation supports performance, but in failure conditions, increased automation results in more significantly impaired performance. Black swans are the rare and unexpected failures of imperfect automation. The lumberjack analogy and black swan concepts have been implemented into three model-based tools that predict operator performance in different systems. These tools include a flight management system, a remotely controlled robotic arm, and an environmental process control system. Each modeling effort included a corresponding validation. In one validation, the software tool was used to compare three flight management system designs, which were ranked in the same order as predicted by subject matter experts. The second validation compared model-predicted operator complacency with empirical performance in the same conditions. The third validation compared model-predicted and empirically determined time to detect and repair faults in four automation conditions. The three model-based tools offer useful ways to predict operator performance in complex systems. The three tools offer ways to predict the effects of different automation designs on operator performance.

Dissemination and Implementation of Evidence-Based Practices: Training and Consultation as Implementation Strategies

PubMed Central

Edmunds, Julie M.; Beidas, Rinad S.; Kendall, Philip C.

2013-01-01

To provide effective treatment for individuals with mental health needs, there is a movement to deploy evidence-based practices (EBPs) developed in research settings into community settings. Training clinicians in EBPs is often used as the primary implementation strategy in these efforts, despite evidence suggesting that training alone does not change therapist behavior. A promising implementation strategy that can be combined with training is consultation, or ongoing support. This paper reviews the literature on consultation following initial training. A model of consultation is presented as well as preliminary findings regarding effective consultation techniques. Future directions are offered. PMID:24072959

[The regional model of three-level system of of medical social monitoring of children and adolescents: the pilot project in the Republic of Tatarstan].

PubMed

Al'bitskii, V Iu; Ustinova, N V; Farrakhov, A Z; Shavaliev, R F; Kulikov O V; Plaksina, L V

2014-01-01

The absence of system of medical social monitoring of children being in difficult life situations is one of main causes of preventable losses of health and life of children and adolescents. The plan of activities of the working group No3 under the Coordination council under the President of the Russian Federation of the national strategy realization of actions in interest of children for 2012-2017 includes a point: "The development and implementation of standard model of medical social monitoring of children and adolescents in the subjects of the Russian Federation". The implementation of this task is assigned to the Department of social pediatrics of The research center of children health of Moscow and the Ministry of Health of the Republic of Tatarstan. The research methods included analysis and generalization of advanced experience of medical social monitoring of children population; expertise technique; modeling. The regional model of three-level system of medical social monitoring of children population is developed and implemented. The model includes level I (consulting rooms of medical social care of children polyclinics, feldsher obstetric stations, first-aid centers), level II--inter-municipal (departments of medical social monitoring in central district hospitals, medical institutions, clinical diagnostic centers) and level III--regional (the Republican center of medical social monitoring of children and adolescents). The immediate tasks necessary for effective functioning of system of medical social monitoring were determined. Within the framework of implementation of the pilot project the legal and normative legislative acts were developed to regulate functioning of regional model of three-level system of medical social care. The other documents necessary for effective functioning of this system were elaborated. The practical significance of this system is in the implementation of effective three-level model of medical social monitoring of children and adolescents supporting decrease of morbidity, mortality and "risk behaviors" suicidal included. The model is to prevent child neglect and homelessness and cruel treatment of children and adolescents.

Anomalous electron heating effects on the E region ionosphere in TIEGCM

NASA Astrophysics Data System (ADS)

Liu, Jing; Wang, Wenbin; Oppenheim, Meers; Dimant, Yakov; Wiltberger, Michael; Merkin, Slava

2016-03-01

We have recently implemented a new module that includes both the anomalous electron heating and the electron-neutral cooling rate correction associated with the Farley-Buneman Instability (FBI) in the thermosphere-ionosphere electrodynamics global circulation model (TIEGCM). This implementation provides, for the first time, a modeling capability to describe macroscopic effects of the FBI on the ionosphere and thermosphere in the context of a first-principle, self-consistent model. The added heating sources primarily operate between 100 and 130 km altitude, and their magnitudes often exceed auroral precipitation heating in the TIEGCM. The induced changes in E region electron temperature in the auroral oval and polar cap by the FBI are remarkable with a maximum Te approaching 2200 K. This is about 4 times larger than the TIEGCM run without FBI heating. This investigation demonstrates how researchers can add the important effects of the FBI to magnetosphere-ionosphere-thermosphere models and simulators.

Effect of different implementations of the same ice history in GIA modeling

NASA Astrophysics Data System (ADS)

Barletta, V. R.; Bordoni, A.

2013-11-01

This study shows the effect of changing the way ice histories are implemented in Glacial Isostatic Adjustment (GIA) codes to solve the sea level equation. The ice history models are being constantly improved and are provided in different formats. The overall algorithmic design of the sea-level equation solver often forces to implement the ice model in a representation that differs from the one originally provided. We show that using different representations of the same ice model gives important differences and artificial contributions to the sea level estimates, both at global and at regional scale. This study is not a speculative exercise. The ICE-5G model adopted in this work is widely used in present day sea-level analysis, but discrepancies between the results obtained by different groups for the same ice models still exist, and it was the effort to set a common reference for the sea-level community that inspired this work. Understanding this issue is important to be able to reduce the artefacts introduced by a non-suitable ice model representation. This is especially important when developing new GIA models, since neglecting this problem can easily lead to wrong alignment of the ice and sea-level histories, particularly close to the deglaciation areas, like Antarctica.

Psychological first aid following trauma: implementation and evaluation framework for high-risk organizations.

PubMed

Forbes, David; Lewis, Virginia; Varker, Tracey; Phelps, Andrea; O'Donnell, Meaghan; Wade, Darryl J; Ruzek, Josef I; Watson, Patricia; Bryant, Richard A; Creamer, Mark

2011-01-01

International clinical practice guidelines for the management of psychological trauma recommend Psychological First Aid (PFA) as an early intervention for survivors of potentially traumatic events. These recommendations are consensus-based, and there is little published evidence assessing the effectiveness of PFA. This is not surprising given the nature of the intervention and the complicating factors involved in any evaluation of PFA. There is, nevertheless, an urgent need for stronger evidence evaluating its effectiveness. The current paper posits that the implementation and evaluation of PFA within high risk organizational settings is an ideal place to start. The paper provides a framework for a phasic approach to implementing PFA within such settings and presents a model for evaluating its effectiveness using a logic- or theory-based approach which considers both pre-event and post-event factors. Phases 1 and 2 of the PFA model are pre-event actions, and phases 3 and 4 are post-event actions. It is hoped that by using the Phased PFA model and evaluation method proposed in this paper, future researchers will begin to undertake the important task of building the evidence about the most effective approach to providing PFA in high risk organizational and community disaster settings.

Understanding influential factors on implementing green supply chain management practices: An interpretive structural modelling analysis.

PubMed

Agi, Maher A N; Nishant, Rohit

2017-03-01

In this study, we establish a set of 19 influential factors on the implementation of Green Supply Chain Management (GSCM) practices and analyse the interaction between these factors and their effect on the implementation of GSCM practices using the Interpretive Structural Modelling (ISM) method and the "Matrice d'Impacts Croisés Multiplication Appliquée à un Classement" (MICMAC) analysis on data compiled from interviews with supply chain (SC) executives based in the Gulf countries (Middle East region). The study reveals a strong influence and driving power of the nature of the relationships between SC partners on the implementation of GSCM practices. We especially found that dependence, trust, and durability of the relationship with SC partners have a very high influence. In addition, the size of the company, the top management commitment, the implementation of quality management and the employees training and education exert a critical influence on the implementation of GSCM practices. Contextual elements such as the industry sector and region and their effect on the prominence of specific factors are also highlighted through our study. Finally, implications for research and practice are discussed. Copyright © 2016 Elsevier Ltd. All rights reserved.

Evaluation of the implementation of an integrated primary care network for prevention and management of cardiometabolic risk in Montréal.

PubMed

Provost, Sylvie; Pineault, Raynald; Tousignant, Pierre; Hamel, Marjolaine; Da Silva, Roxane Borgès

2011-11-10

The goal of this project is to evaluate the implementation of an integrated and interdisciplinary program for prevention and management of cardiometabolic risk (PCMR). The intervention is based on the Chronic Care Model. The study will evaluate the implementation of the PCMR in 6 of the 12 health and social services centres (CSSS) in Montréal, and the effects of the PCMR on patients and the practice of their primary care physicians up to 40 months following implementation, as well as the sustainability of the program. Objectives are: 1-to evaluate the effects of the PCMR and their persistence on patients registered in the program and the practice of their primary care physicians, by implementation site and degree of exposure to the program; 2-to assess the degree of implementation of PCMR in each CSSS territory and identify related contextual factors; 3-to establish the relationships between the effects observed, the degree of PCMR implementation and the related contextual factors; 4-to assess the impact of the PCMR on strengthening local services networks. The evaluation will use a mixed design that includes two complementary research strategies. The first strategy is similar to a quasi-experimental "before-after" design, based on a quantitative approach; it will look at the program's effects and their variations among the six territories. The effects analysis will use data from a clinical database and from questionnaires completed by participating patients and physicians. Over 3000 patients will be recruited. The second strategy corresponds to a multiple case study approach, where each of the six CSSS constitutes a case. With this strategy, qualitative methods will set out the context of implementation using data from semi-structured interviews with program managers. The quantitative data will be analyzed using linear or multilevel models complemented with an interpretive approach to qualitative data analysis. Our study will identify contextual factors associated with the effectiveness, successful implementation and sustainability of such a program. The contextual information will enable us to extrapolate our results to other contexts with similar conditions. ClinicalTrials.gov: NCT01326130.

Effectiveness of a multi-level implementation strategy for ASD interventions: study protocol for two linked cluster randomized trials.

PubMed

Brookman-Frazee, Lauren; Stahmer, Aubyn C

2018-05-09

The Centers for Disease Control (2018) estimates that 1 in 59 children has autism spectrum disorder, and the annual cost of ASD in the U.S. is estimated to be $236 billion. Evidence-based interventions have been developed and demonstrate effectiveness in improving child outcomes. However, research on generalizable methods to scale up these practices in the multiple service systems caring for these children has been limited and is critical to meet this growing public health need. This project includes two, coordinated studies testing the effectiveness of the Translating Evidence-based Interventions (EBI) for ASD: Multi-Level Implementation Strategy (TEAMS) model. TEAMS focuses on improving implementation leadership, organizational climate, and provider attitudes and motivation in order to improve two key implementation outcomes-provider training completion and intervention fidelity and subsequent child outcomes. The TEAMS Leadership Institute applies implementation leadership strategies and TEAMS Individualized Provider Strategies for training applies motivational interviewing strategies to facilitate provider and organizational behavior change. A cluster randomized implementation/effectiveness Hybrid, type 3, trial with a dismantling design will be used to understand the effectiveness of TEAMS and the mechanisms of change across settings and participants. Study #1 will test the TEAMS model with AIM HI (An Individualized Mental Health Intervention for ASD) in publicly funded mental health services. Study #2 will test TEAMS with CPRT (Classroom Pivotal Response Teaching) in education settings. Thirty-seven mental health programs and 37 school districts will be randomized, stratified by county and study, to one of four groups (Standard Provider Training Only, Standard Provider Training + Leader Training, Enhanced Provider Training, Enhanced Provider Training + Leader Training) to test the effectiveness of combining standard, EBI-specific training with the two TEAMS modules individually and together on multiple implementation outcomes. Implementation outcomes including provider training completion, fidelity (coded by observers blind to group assignment) and child behavior change will be examined for 295 mental health providers, 295 teachers, and 590 children. This implementation intervention has the potential to increase quality of care for ASD in publicly funded settings by improving effectiveness of intervention implementation. The process and modules will be generalizable to multiple service systems, providers, and interventions, providing broad impact in community services. This study is registered with Clinicaltrials.gov ( NCT03380078 ). Registered 20 December 2017, retrospectively registered.

Preliminary effects of parent-implemented behavioural interventions for stereotypy.

PubMed

Lanovaz, Marc J; Rapp, John T; Maciw, Isabella; Dorion, Catherine; Prégent-Pelletier, Émilie

2016-06-01

The purpose of our study was to replicate and extend previous research on using multicomponent behavioural interventions designed to reduce engagement in stereotypy by examining their effects when implemented by parents over several months. We used an alternating treatment design to examine the effects of the parent-implemented interventions on engagement in stereotypy and appropriate behaviour in three children with autism and other developmental disabilities. The parent-implemented multicomponent treatments reduced vocal stereotypy in all three participants and increased engagement in appropriate behaviour in two participants. These effects persisted up to 24 weeks following the parent training sessions. Altogether, our preliminary results support (a) the involvement of parents as behaviour change agents to reduce engagement in stereotypy and (b) the scheduling of regular, but infrequent (i.e. weekly to monthly), follow-up meetings to monitor the effects of behavioural interventions in outpatient and home-based service delivery models.

Effects of Distance Coaching on Teachers' Use of Pyramid Model Practices: A Pilot Study

ERIC Educational Resources Information Center

Artman-Meeker, Kathleen; Hemmeter, Mary Louise; Snyder, Patricia

2014-01-01

The purpose of this pilot study was to compare the effects of 2 professional development approaches on teachers' implementation of the "Pyramid" model, a classroom-wide approach for fostering social-emotional development and addressing challenging behavior. The study had 2 goals: (a) to examine the differential effects of workshop…

The implementation of mindfulness in healthcare systems: a theoretical analysis.

PubMed

Demarzo, M M P; Cebolla, A; Garcia-Campayo, J

2015-01-01

Evidence regarding the efficacy of mindfulness-based interventions (MBIs) is increasing exponentially; however, there are still challenges to their integration in healthcare systems. Our goal is to provide a conceptual framework that addresses these challenges in order to bring about scholarly dialog and support health managers and practitioners with the implementation of MBIs in healthcare. This is an opinative narrative review based on theoretical and empirical data that address key issues in the implementation of mindfulness in healthcare systems, such as the training of professionals, funding and costs of interventions, cost effectiveness and innovative delivery models. We show that even in the United Kingdom, where mindfulness has a high level of implementation, there is a high variability in the access to MBIs. In addition, we discuss innovative approaches based on "complex interventions," "stepped-care" and "low intensity-high volume" concepts that may prove fruitful in the development and implementation of MBIs in national healthcare systems, particularly in Primary Care. In order to better understand barriers and opportunities for mindfulness implementation in healthcare systems, it is necessary to be aware that MBIs are "complex interventions," which require innovative approaches and delivery models to implement these interventions in a cost-effective and accessible way. Copyright © 2015 Elsevier Inc. All rights reserved.

Embedding care management in the medical home: a case study.

PubMed

Daaleman, Timothy P; Hay, Sherry; Prentice, Amy; Gwynne, Mark D

2014-04-01

Care managers are playing increasingly significant roles in the redesign of primary care and in the evolution of patient-centered medical homes (PCMHs), yet their adoption within day-to-day practice remains uneven and approaches for implementation have been minimally reported. We introduce a strategy for incorporating care management into the operations of a PCMH and assess the preliminary effectiveness of this approach. A case study of the University of North Carolina at Chapel Hill Family Medicine Center used an organizational model of innovation implementation to guide the parameters of implementation and evaluation. Two sources were used to determine the effectiveness of the implementation strategy: data elements from the care management informatics system in the health record and electronic survey data from the Family Medicine Center providers and care staff. A majority of physicians (75%) and support staff (82%) reported interactions with the care manager, primarily via face-to-face, telephone, or electronic means, primarily for facilitating referrals for behavioral health services and assistance with financial and social and community-based resources. Trend line suggests an absolute decrease of 8 emergency department visits per month for recipients of care management services and an absolute decrease of 7.5 inpatient admissions per month during the initial 2-year implementation period. An organizational model of innovation implementation is a potentially effective approach to guide the process of incorporating care management services into the structure and workflows of PCMHs.

Implementing the Three Block Model of Universal Design for Learning: Effects on Teachers' Self-Efficacy, Stress, and Job Satisfaction in Inclusive Classrooms K-12

ERIC Educational Resources Information Center

Katz, Jennifer

2015-01-01

Fifty-eight teachers of grades 1-12 in 10 schools located in two rural and three urban school divisions in Manitoba were involved in a study implementing the Three Block Model of Universal Design for Learning and exploring its outcomes for teachers and students. This article reports teachers' perceptions related to the outcomes of the…

Reliability of Next Generation Power Electronics Packaging Under Concurrent Vibration, Thermal and High Power Loads

DTIC Science & Technology

2008-02-01

combined thermal g effect and initial current field. The model is implemented using Abaqus user element subroutine and verified against the experimental...Finite Element Formulation The proposed model is implemented with ABAQUS general purpose finite element program using thermal -displacement analysis...option. ABAQUS and other commercially available finite element codes do not have the capability to solve general electromigration problem directly. Thermal

An evaluation of video modeling with embedded instructions to teach implementation of stimulus preference assessments.

PubMed

Rosales, Rocío; Gongola, Leah; Homlitas, Christa

2015-01-01

A multiple baseline design across participants was used to evaluate the effects of video modeling with embedded instructions on training teachers to implement 3 preference assessments. Each assessment was conducted with a confederate learner or a child with autism during generalization probes. All teachers met the predetermined mastery criterion, and 2 of the 3 demonstrated skill maintenance at 1-month follow-up.

Teachers’ patterns of implementation of an evidence-based intervention and student outcomes: results from a nationwide dissemination over 24-months follow-up

PubMed Central

Stanton, Bonita; Wang, Bo; Deveaux, Lynette; Lunn, Sonja; Rolle, Glenda; Mortimer, Arvis; Li, Xiaoming; Marshall, Sharon; Poitier, Maxwell; Adderley, Richard

2015-01-01

More information is needed about factors influencing real-life implementation and program impact of interventions effective in controlled study conditions. Ongoing national implementation of an evidence-based HIV prevention program targeting grade 6 students in The Bahamas offers the opportunity to examine patterns of implementation and relate them to student outcomes. Data were collected from 208 grade 6 teachers, 75 grade 7 teachers and 4,411 grade 6 students followed over two years. Mixed-effects modeling analysis examined the association of teachers’ patterns of implementation with student outcomes. High quality program implementation in grade 6 (high implementation dosage and fidelity) was significantly related to student outcomes six and 18 months post-intervention. Quality of implementation of the booster session in grade 7 was also significantly related to student outcomes in grade 7. Quality of delivery of the brief booster session a year after initial implementation is important in maintaining or resetting the student outcome trajectory. PMID:26093781

Ontological approach for safe and effective polypharmacy prescription

PubMed Central

Grando, Adela; Farrish, Susan; Boyd, Cynthia; Boxwala, Aziz

2012-01-01

The intake of multiple medications in patients with various medical conditions challenges the delivery of medical care. Initial empirical studies and pilot implementations seem to indicate that generic safe and effective multi-drug prescription principles could be defined and reused to reduce adverse drug events and to support compliance with medical guidelines and drug formularies. Given that ontologies are known to provide well-principled, sharable, setting-independent and machine-interpretable declarative specification frameworks for modeling and reasoning on biomedical problems, we explore here their use in the context of multi-drug prescription. We propose an ontology for modeling drug-related knowledge and a repository of safe and effective generic prescription principles. To test the usability and the level of granularity of the developed ontology-based specification models and heuristic we implemented a tool that computes the complexity of multi-drug treatments, and a decision aid to check the safeness and effectiveness of prescribed multi-drug treatments. PMID:23304299

The impact of electronic medical record systems on outpatient workflows: a longitudinal evaluation of its workflow effects.

PubMed

Vishwanath, Arun; Singh, Sandeep Rajan; Winkelstein, Peter

2010-11-01

The promise of the electronic medical record (EMR) lies in its ability to reduce the costs of health care delivery and improve the overall quality of care--a promise that is realized through major changes in workflows within the health care organization. Yet little systematic information exists about the workflow effects of EMRs. Moreover, some of the research to-date points to reduced satisfaction among physicians after implementation of the EMR and increased time, i.e., negative workflow effects. A better understanding of the impact of the EMR on workflows is, hence, vital to understanding what the technology really does offer that is new and unique. (i) To empirically develop a physician centric conceptual model of the workflow effects of EMRs; (ii) To use the model to understand the antecedents to the physicians' workflow expectation from the new EMR; (iii) To track physicians' satisfaction overtime, 3 months and 20 months after implementation of the EMR; (iv) To explore the impact of technology learning curves on physicians' reported satisfaction levels. The current research uses the mixed-method technique of concept mapping to empirically develop the conceptual model of an EMR's workflow effects. The model is then used within a controlled study to track physician expectations from a new EMR system as well as their assessments of the EMR's performance 3 months and 20 months after implementation. The research tracks the actual implementation of a new EMR within the outpatient clinics of a large northeastern research hospital. The pre-implementation survey netted 20 physician responses; post-implementation Time 1 survey netted 22 responses, and Time 2 survey netted 26 physician responses. The implementation of the actual EMR served as the intervention. Since the study was conducted within the same setting and tracked a homogenous group of respondents, the overall study design ensured against extraneous influences on the results. Outcome measures were derived empirically from the conceptual model. They included 85 items that measured physician perceptions of the EMR's workflow effect on the following eight issues: (1) administration, (2) efficiency in patient processing, (3) basic clinical processes, (4) documentation of patient encounter, (5) economic challenges and reimbursement, (6) technical issues, (7) patient safety and care, and (8) communication and confidentiality. The items were used to track expectations prior to implementation and they served as retrospective measures of satisfaction with the EMR in post-implementation Time 1 and Time 2. The findings suggest that physicians conceptualize EMRs as an incremental extension of older computerized provider order entries (CPOEs) rather than as a new innovation. The EMRs major functional advantages are seen to be very similar to, if not the same as, those of CPOEs. Technology learning curves play a statistically significant though minor role in shaping physician perceptions. The physicians' expectations from the EMR are based on their prior beliefs rather than on a rational evaluation of the EMR's fit, functionality, or performance. Their decision regarding the usefulness of the EMR is made very early, within the first few months of use of the EMR. These early perceptions then remain stable and become the lens through which subsequent experience with the EMR is interpreted. The findings suggest a need for communication based interventions aimed at explaining the value, fit, and usefulness of EMRs to physicians early in the pre- and immediate post-EMR implementation stages. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Explicit robust schemes for implementation of a class of principal value-based constitutive models: Symbolic and numeric implementation

NASA Technical Reports Server (NTRS)

Arnold, S. M.; Saleeb, A. F.; Tan, H. Q.; Zhang, Y.

1993-01-01

The issue of developing effective and robust schemes to implement a class of the Ogden-type hyperelastic constitutive models is addressed. To this end, special purpose functions (running under MACSYMA) are developed for the symbolic derivation, evaluation, and automatic FORTRAN code generation of explicit expressions for the corresponding stress function and material tangent stiffness tensors. These explicit forms are valid over the entire deformation range, since the singularities resulting from repeated principal-stretch values have been theoretically removed. The required computational algorithms are outlined, and the resulting FORTRAN computer code is presented.

Models of evaluation of public joint-stock property management

NASA Astrophysics Data System (ADS)

Yakupova, N. M.; Levachkova, S.; Absalyamova, S. G.; Kvon, G.

2017-12-01

The paper deals with the models of evaluation of performance of both the management company and the individual subsidiaries on the basis of a combination of elements and multi-parameter and target approaches. The article shows that due to the power of multi-dimensional and multi-directional indicators of financial and economic activity it is necessary to assess the degree of achievement of the objectives with the use of multivariate ordinal model as a set of indicators, ordered by growth so that the maintenance of this order on a long interval of time will ensure the effective functioning of the enterprise in the long term. It is shown that these models can be regarded as the monitoring tools of implementation of strategies and guide the justification effectiveness of implementation of management decisions.

A model for successful use of student response systems.

PubMed

Klein, Kathleen; Kientz, Mary

2013-01-01

This article presents a model developed to assist teachers in selecting, implementing, and assessing student response system (SRS) use in the classroom. Research indicates that SRS technology is effective in achieving desired outcomes in higher education settings. Studies indicate that effective SRS use promotes greater achievement of learning outcomes, increased student attention, improved class participation, and active engagement. The model offered in this article is based on best practices described in the literature and several years of SRS use in a traditional higher education classroom setting. Student feedback indicates increased class participation and engagement with SRS technology. Teacher feedback indicates opportunities for contingent teaching. The model described in this article provides a process to assist teachers in the successful selection, implementation, and assessment of SRS technology in the classroom.

Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models

PubMed Central

2014-01-01

Background Meta-regression is becoming increasingly used to model study level covariate effects. However this type of statistical analysis presents many difficulties and challenges. Here two methods for calculating confidence intervals for the magnitude of the residual between-study variance in random effects meta-regression models are developed. A further suggestion for calculating credible intervals using informative prior distributions for the residual between-study variance is presented. Methods Two recently proposed and, under the assumptions of the random effects model, exact methods for constructing confidence intervals for the between-study variance in random effects meta-analyses are extended to the meta-regression setting. The use of Generalised Cochran heterogeneity statistics is extended to the meta-regression setting and a Newton-Raphson procedure is developed to implement the Q profile method for meta-analysis and meta-regression. WinBUGS is used to implement informative priors for the residual between-study variance in the context of Bayesian meta-regressions. Results Results are obtained for two contrasting examples, where the first example involves a binary covariate and the second involves a continuous covariate. Intervals for the residual between-study variance are wide for both examples. Conclusions Statistical methods, and R computer software, are available to compute exact confidence intervals for the residual between-study variance under the random effects model for meta-regression. These frequentist methods are almost as easily implemented as their established counterparts for meta-analysis. Bayesian meta-regressions are also easily performed by analysts who are comfortable using WinBUGS. Estimates of the residual between-study variance in random effects meta-regressions should be routinely reported and accompanied by some measure of their uncertainty. Confidence and/or credible intervals are well-suited to this purpose. PMID:25196829

Adapting the Consolidated Framework for Implementation Research to Create Organizational Readiness and Implementation Tools for Project ECHO.

PubMed

Serhal, Eva; Arena, Amanda; Sockalingam, Sanjeev; Mohri, Linda; Crawford, Allison

2018-03-01

The Project Extension for Community Healthcare Outcomes (ECHO) model expands primary care provider (PCP) capacity to manage complex diseases by sharing knowledge, disseminating best practices, and building a community of practice. The model has expanded rapidly, with over 140 ECHO projects currently established globally. We have used validated implementation frameworks, such as Damschroder's (2009) Consolidated Framework for Implementation Research (CFIR) and Proctor's (2011) taxonomy of implementation outcomes, combined with implementation experience to (1) create a set of questions to assess organizational readiness and suitability of the ECHO model and (2) provide those who have determined ECHO is the correct model with a checklist to support successful implementation. A set of considerations was created, which adapted and consolidated CFIR constructs to create ECHO-specific organizational readiness questions, as well as a process guide for implementation. Each consideration was mapped onto Proctor's (2011) implementation outcomes, and questions relating to the constructs were developed and reviewed for clarity. The Preimplementation list included 20 questions; most questions fall within Proctor's (2001) implementation outcome domains of "Appropriateness" and "Acceptability." The Process Checklist is a 26-item checklist to help launch an ECHO project; items map onto the constructs of Planning, Engaging, Executing, Reflecting, and Evaluating. Given that fidelity to the ECHO model is associated with robust outcomes, effective implementation is critical. These tools will enable programs to work through key considerations to implement a successful Project ECHO. Next steps will include validation with a diverse sample of ECHO projects.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

Effectiveness of Instructional Design Model (Isman - 2011) in Developing the Planning Teaching Skills of Teachers College Students' at King Saud University

ERIC Educational Resources Information Center

Isman, Aytekin; Abanmy, Fahad AbdulAziz; Hussein, Hisham Barakat; Al Saadany, Mohammed Abdurrahman

2012-01-01

The new instructional design model (Isman - 2011) aims at planing, developing, implementing, evaluating, and organizing full learning activities effectively to ensure competent performance by students. The theoretical foundation of this model comes from behaviorism, cognitivism and constructivism views. And it's based on active learning. During…

The Effect of a Professional Development Classroom Management Model on At-Risk Elementary Students' Misbehaviors

ERIC Educational Resources Information Center

Reglin, Gary; Akpo-Sanni, Joretta; Losike-Sedimo, Nonofo

2012-01-01

The problem in the study was that at-risk elementary school students had too many classroom disruptive behaviors. The purpose was to investigate the effect a Professional Development Classroom Management Model would have on reducing these students' misbehaviors. The study implemented a classroom management model to improve the classroom management…

Sensitivity of Value Added School Effect Estimates to Different Model Specifications and Outcome Measures

ERIC Educational Resources Information Center

Pride, Bryce L.

2012-01-01

The Adequate Yearly Progress (AYP) Model has been used to make many high-stakes decisions concerning schools, though it does not provide a complete assessment of student academic achievement and school effectiveness. To provide a clearer perspective, many states have implemented various Growth and Value Added Models, in addition to AYP. The…

Implementing and Evaluating a Multicomponent Inpatient Diabetes Management Program: Putting Research into Practice

PubMed Central

Munoz, Miguel; Pronovost, Peter; Dintzis, Joanne; Kemmerer, Theresa; Wang, Nae-Yuh; Chang, Yi-Ting; Efird, Leigh; Berenholtz, Sean M.; Golden, Sherita Hill

2013-01-01

Background Strategies for successful implementation of hospitalwide glucose control efforts were addressed in a conceptual model for the development and implementation of an institutional inpatient glucose management program. Conceptual Model Components The Glucose Steering Committee incrementally developed and implemented hospitalwide glucose policies, coupled with targeted education and clinical decision support to facilitate policy acceptance and uptake by staff while incorporating process and outcome measures to objectively assess the effectiveness of quality improvement efforts. The model includes four components: (1) engaging staff and hospital executives in the importance of inpatient glycemic management, (2) educating staff involved in the care of patients with diabetes through structured knowledge dissemination, (3) executing evidence-based inpatient glucose management through development of policies and clinical decision aids, and (4) evaluating intervention effectiveness through assessing process measures, intermediary glucometric outcomes, and clinical and economic outcomes. An educational curriculum for nursing, provider, and pharmacist diabetes education programs and current glucometrics were also developed. Outcomes Overall the average patient-day–weighted mean blood glucose (PDWMBG) was below the currently recommended maximum of 180 mg/dL in patients with diabetes and hyperglycemia, with a significant decrease in PDWMBG of 7.8 mg/dL in patients with hyperglycemia. The program resulted in an 18.8% reduction in hypoglycemia event rates, which was sustained. Conclusion Inpatient glucose management remains an important area for patient safety, quality improvement, and clinical research, and the implementation model should guide other hospitals in their glucose management initiatives. PMID:22649859

Implementing and evaluating a multicomponent inpatient diabetes management program: putting research into practice.

PubMed

Munoz, Miguel; Pronovost, Peter; Dintzis, Joanne; Kemmerer, Theresa; Wang, Nae-Yuh; Chang, Yi-Ting; Efird, Leigh; Berenholtz, Sean M; Golden, Sherita Hill

2012-05-01

Strategies for successful implementation of hospitalwide glucose control efforts were addressed in a conceptual model for the development and implementation of an institutional inpatient glucose management program. CONCEPTUAL MODEL COMPONENTS: The Glucose Steering Committee incrementally developed and implemented hospitalwide glucose policies, coupled with targeted education and clinical decision support to facilitate policy acceptance and uptake by staffwhile incorporating process and outcome measures to objectively assess the effectiveness of quality improvement efforts. The model includes four components: (1) engaging staff and hospital executives in the importance of inpatient glycemic management, (2) educating staff involved in the care of patients with diabetes through structured knowledge dissemination, (3) executing evidence-based inpatient glucose management through development of policies and clinical decision aids, and (4) evaluating intervention effectiveness through assessing process measures, intermediary glucometric outcomes, and clinical and economic outcomes. An educational curriculum for nursing, provider, and pharmacist diabetes education programs and current glucometrics were also developed. Overall the average patient-day-weighted mean blood glucose (PDWMBG) was below the currently recommended maximum of 180 mg/dL in patients with diabetes and hyperglycemia, with a significant decrease in PDWMBG of 7.8 mg/dL in patients with hyperglycemia. The program resulted in an 18.8% reduction in hypoglycemia event rates, which was sustained. Inpatient glucose management remains an important area for patient safety, quality improvement, and clinical research, and the implementation model should guide other hospitals in their glucose management initiatives.

An operational model for mainstreaming ecosystem services for implementation

PubMed Central

Cowling, Richard M.; Egoh, Benis; Knight, Andrew T.; O'Farrell, Patrick J.; Reyers, Belinda; Rouget, Mathieu; Roux, Dirk J.; Welz, Adam; Wilhelm-Rechman, Angelika

2008-01-01

Research on ecosystem services has grown markedly in recent years. However, few studies are embedded in a social process designed to ensure effective management of ecosystem services. Most research has focused only on biophysical and valuation assessments of putative services. As a mission-oriented discipline, ecosystem service research should be user-inspired and user-useful, which will require that researchers respond to stakeholder needs from the outset and collaborate with them in strategy development and implementation. Here we provide a pragmatic operational model for achieving the safeguarding of ecosystem services. The model comprises three phases: assessment, planning, and management. Outcomes of social, biophysical, and valuation assessments are used to identify opportunities and constraints for implementation. The latter then are transformed into user-friendly products to identify, with stakeholders, strategic objectives for implementation (the planning phase). The management phase undertakes and coordinates actions that achieve the protection of ecosystem services and ensure the flow of these services to beneficiaries. This outcome is achieved via mainstreaming, or incorporating the safeguarding of ecosystem services into the policies and practices of sectors that deal with land- and water-use planning. Management needs to be adaptive and should be institutionalized in a suite of learning organizations that are representative of the sectors that are concerned with decision-making and planning. By following the phases of our operational model, projects for safeguarding ecosystem services are likely to empower stakeholders to implement effective on-the-ground management that will achieve resilience of the corresponding social-ecological systems. PMID:18621695

The US Air Force Suicide Prevention Program: Implications for Public Health Policy

PubMed Central

Pflanz, Steven; Talcott, Gerald W.; Campise, Rick L.; Lavigne, Jill E.; Bajorska, Alina; Tu, Xin; Caine, Eric D.

2010-01-01

Objectives. We evaluated the effectiveness of the US Air Force Suicide Prevention Program (AFSPP) in reducing suicide, and we measured the extent to which air force installations implemented the program. Methods. We determined the AFSPP's impact on suicide rates in the air force by applying an intervention regression model to data from 1981 through 2008, providing 16 years of data before the program's 1997 launch and 11 years of data after launch. Also, we measured implementation of program components at 2 points in time: during a 2004 increase in suicide rates, and 2 years afterward. Results. Suicide rates in the air force were significantly lower after the AFSPP was launched than before, except during 2004. We also determined that the program was being implemented less rigorously in 2004. Conclusions. The AFSPP effectively prevented suicides in the US Air Force. The long-term effectiveness of this program depends upon extensive implementation and effective monitoring of implementation. Suicides can be reduced through a multilayered, overlapping approach that encompasses key prevention domains and tracks implementation of program activities. PMID:20466973

The Effect of Implementing the Experiential Learning Model in Listening Comprehension for the Eleventh Graders at SMAN 1 Telaga Biru

ERIC Educational Resources Information Center

Tahir, Ismail

2017-01-01

This study is aimed to investigate the effectiveness of the experiential learning in listening comprehension with the focus on the implementation of the class story using language experience at SMAN 1 Telaga Biru. As the pre-experimental research, this study involved one class consisted of 27 students in the eleventh graders. However, most of the…

Modeling of the Human - Operator in a Complex System Functioning Under Extreme Conditions

NASA Astrophysics Data System (ADS)

Getzov, Peter; Hubenova, Zoia; Yordanov, Dimitar; Popov, Wiliam

2013-12-01

Problems, related to the explication of sophisticated control systems of objects, operating under extreme conditions, have been examined and the impact of the effectiveness of the operator's activity on the systems as a whole. The necessity of creation of complex simulation models, reflecting operator's activity, is discussed. Organizational and technical system of an unmanned aviation complex is described as a sophisticated ergatic system. Computer realization of main subsystems of algorithmic system of the man as a controlling system is implemented and specialized software for data processing and analysis is developed. An original computer model of a Man as a tracking system has been implemented. Model of unmanned complex for operators training and formation of a mental model in emergency situation, implemented in "matlab-simulink" environment, has been synthesized. As a unit of the control loop, the pilot (operator) is simplified viewed as an autocontrol system consisting of three main interconnected subsystems: sensitive organs (perception sensors); central nervous system; executive organs (muscles of the arms, legs, back). Theoretical-data model of prediction the level of operator's information load in ergatic systems is proposed. It allows the assessment and prediction of the effectiveness of a real working operator. Simulation model of operator's activity in takeoff based on the Petri nets has been synthesized.

Models meet data: Challenges and opportunities in implementing land management in Earth system models.

PubMed

Pongratz, Julia; Dolman, Han; Don, Axel; Erb, Karl-Heinz; Fuchs, Richard; Herold, Martin; Jones, Chris; Kuemmerle, Tobias; Luyssaert, Sebastiaan; Meyfroidt, Patrick; Naudts, Kim

2018-04-01

As the applications of Earth system models (ESMs) move from general climate projections toward questions of mitigation and adaptation, the inclusion of land management practices in these models becomes crucial. We carried out a survey among modeling groups to show an evolution from models able only to deal with land-cover change to more sophisticated approaches that allow also for the partial integration of land management changes. For the longer term a comprehensive land management representation can be anticipated for all major models. To guide the prioritization of implementation, we evaluate ten land management practices-forestry harvest, tree species selection, grazing and mowing harvest, crop harvest, crop species selection, irrigation, wetland drainage, fertilization, tillage, and fire-for (1) their importance on the Earth system, (2) the possibility of implementing them in state-of-the-art ESMs, and (3) availability of required input data. Matching these criteria, we identify "low-hanging fruits" for the inclusion in ESMs, such as basic implementations of crop and forestry harvest and fertilization. We also identify research requirements for specific communities to address the remaining land management practices. Data availability severely hampers modeling the most extensive land management practice, grazing and mowing harvest, and is a limiting factor for a comprehensive implementation of most other practices. Inadequate process understanding hampers even a basic assessment of crop species selection and tillage effects. The need for multiple advanced model structures will be the challenge for a comprehensive implementation of most practices but considerable synergy can be gained using the same structures for different practices. A continuous and closer collaboration of the modeling, Earth observation, and land system science communities is thus required to achieve the inclusion of land management in ESMs. © 2017 John Wiley & Sons Ltd.

An agent-based simulation model to study accountable care organizations.

PubMed

Liu, Pai; Wu, Shinyi

2016-03-01

Creating accountable care organizations (ACOs) has been widely discussed as a strategy to control rapidly rising healthcare costs and improve quality of care; however, building an effective ACO is a complex process involving multiple stakeholders (payers, providers, patients) with their own interests. Also, implementation of an ACO is costly in terms of time and money. Immature design could cause safety hazards. Therefore, there is a need for analytical model-based decision-support tools that can predict the outcomes of different strategies to facilitate ACO design and implementation. In this study, an agent-based simulation model was developed to study ACOs that considers payers, healthcare providers, and patients as agents under the shared saving payment model of care for congestive heart failure (CHF), one of the most expensive causes of sometimes preventable hospitalizations. The agent-based simulation model has identified the critical determinants for the payment model design that can motivate provider behavior changes to achieve maximum financial and quality outcomes of an ACO. The results show nonlinear provider behavior change patterns corresponding to changes in payment model designs. The outcomes vary by providers with different quality or financial priorities, and are most sensitive to the cost-effectiveness of CHF interventions that an ACO implements. This study demonstrates an increasingly important method to construct a healthcare system analytics model that can help inform health policy and healthcare management decisions. The study also points out that the likely success of an ACO is interdependent with payment model design, provider characteristics, and cost and effectiveness of healthcare interventions.

Symplectic multi-particle tracking on GPUs

NASA Astrophysics Data System (ADS)

Liu, Zhicong; Qiang, Ji

2018-05-01

A symplectic multi-particle tracking model is implemented on the Graphic Processing Units (GPUs) using the Compute Unified Device Architecture (CUDA) language. The symplectic tracking model can preserve phase space structure and reduce non-physical effects in long term simulation, which is important for beam property evaluation in particle accelerators. Though this model is computationally expensive, it is very suitable for parallelization and can be accelerated significantly by using GPUs. In this paper, we optimized the implementation of the symplectic tracking model on both single GPU and multiple GPUs. Using a single GPU processor, the code achieves a factor of 2-10 speedup for a range of problem sizes compared with the time on a single state-of-the-art Central Processing Unit (CPU) node with similar power consumption and semiconductor technology. It also shows good scalability on a multi-GPU cluster at Oak Ridge Leadership Computing Facility. In an application to beam dynamics simulation, the GPU implementation helps save more than a factor of two total computing time in comparison to the CPU implementation.

Conservation Reserve Program effects on floodplain land cover management.

PubMed

Jobe, Addison; Kalra, Ajay; Ibendahl, Elise

2018-05-15

Growing populations and industrialized agriculture practices have eradicated much of the United States wetlands along river floodplains. One program available for the restoration of floodplains is the Conservation Reserve Program (CRP). The current research explores the effects CRP land change has on flooding zones, utilizing Flood Modeller and HEC-RAS. Flood Modeller is proven a viable tool for flood modeling within the United States when compared to HEC-RAS. Application of the software is used in the Nodaway River system located in the western halves of Iowa and Missouri to model effects of introducing new forest areas within the region. Flood stage during the conversion first decreases in the early years, before rising to produce greater heights. Flow velocities where CRP land is present are reduced for long-term scopes. Velocity reduction occurs as the Manning's roughness increases due to tree diameter and brush density. Flood zones become more widespread with the implementation of CRP. Future model implementations are recommended to witness the effects of smaller flood recurrence intervals. Copyright © 2018 Elsevier Ltd. All rights reserved.

Green Infrastructure in Kansas City

EPA Science Inventory

We use the state-of-the-art WRF-CMAQ coupled model to simulate the likely effects of a GI implementation strategy in Kansas City, MO/KS on regional meteorology and air quality changes. Two different land surface schemes (Pleim-Xiu and Noah) were implemented to characterize the di...

Integration of Treatment Innovation Planning and Implementation: Strategic Process Models and Organizational Challenges

PubMed Central

Lehman, Wayne E. K.; Simpson, D. Dwayne; Knight, Danica K.; Flynn, Patrick M.

2015-01-01

Sustained and effective use of evidence-based practices in substance abuse treatment services faces both clinical and contextual challenges. Implementation approaches are reviewed that rely on variations of plan-do-study-act (PDSA) cycles, but most emphasize conceptual identification of core components for system change strategies. A 2-phase procedural approach is therefore presented based on the integration of TCU models and related resources for improving treatment process and program change. Phase 1 focuses on the dynamics of clinical services, including stages of client recovery (cross-linked with targeted assessments and interventions), as the foundations for identifying and planning appropriate innovations to improve efficiency and effectiveness. Phase 2 shifts to the operational and organizational dynamics involved in implementing and sustaining innovations (including the stages of training, adoption, implementation, and practice). A comprehensive system of TCU assessments and interventions for client and program-level needs and functioning are summarized as well, with descriptions and guidelines for applications in practical settings. PMID:21443294

The influence of differential response on decision-making in child protective service agencies.

PubMed

Janczewski, Colleen E

2015-01-01

Differential response (DR) profoundly changes the decision pathways of public child welfare systems, yet little is known about how DR shapes the experiences of children whose reports receive an investigation rather than an alternate response. Using data from the National Child Abuse and Neglect Data System (NCANDS), this study examined the relationship between DR implementation and decision outcomes in neglect cases, as measured by investigation, substantiation, and removal rates in 297 U.S. counties. Multivariate regression models included county-level measures of child poverty and proportions of African American children. Path analyses were also conducted to identify mediating effects of prior decision points and moderating effects of DR on poverty and race's influence on decision outcomes. Results indicate that compared to non-DR counties, those implementing DR have significantly lower investigation and substantiation rates within county populations but higher substantiation rates among investigated cases. Regression models showed significant reductions in removal rates associated with DR implementation, but these effects became insignificant in path models that accounted for mediation effects of previous decision points. Findings also suggest that DR implementation may reduce the positive association between child poverty rates and investigation rates, but additional studies with larger samples are needed to confirm this moderation effect. Two methods of calculating decision outcomes, population- and decision-based enumeration, were used, and policy and research implications of each are discussed. This study demonstrates that despite their inherit complexity, large administrative datasets such as NCANDS can be used to assess the impact of wide-scale system change across jurisdictions. Copyright © 2014 Elsevier Ltd. All rights reserved.

Carbon Management In the Post-Cap-and-Trade Carbon Economy

NASA Astrophysics Data System (ADS)

DeGroff, F. A.

2013-12-01

This abstract outlines an economic model that integrates carbon externalities seamlessly into the national and international economies. The model incorporates a broad carbon metric used to value all carbon in the biosphere, as well as all transnational commerce. The model minimizes the cost associated with carbon management, and allows for the variation in carbon avidity between jurisdictions. When implemented over time, the model reduces the deadweight loss while minimizing social cost, thus maximizing the marginal social benefit commonly associated with Pigouvian taxes. Once implemented, the model provides a comprehensive economic construct for governments, industry and consumers to efficiently weigh the cost of carbon, and effectively participate in helping to reduce their direct and indirect use of carbon, while allowing individual jurisdictions to decide their own carbon value, without the need for explicit, express agreement of all countries. The model uses no credits, requires no caps, and matches climate changing behavior to costs. The steps to implement the model for a particular jurisdiction are: 1) Define the Carbon Metric to value changes in Carbon Quality. 2) Apply the Carbon Metric to assess the Carbon Toll a) for all changes in Carbon Quality and b) for imports and exports. This economic model has 3 clear advantages. 1) The carbon pricing and cost scheme use existing and generally accepted accounting methodologies to ensure the veracity and verifiability of carbon management efforts with minimal effort and expense using standard auditing protocols. Implementing this economic model will not require any special training, tools, or systems for any entity to achieve their minimum carbon target goals within their jurisdictional framework. 2) Given the spectrum of carbon affinities worldwide, the model recognizes and provides for flexible carbon pricing regimes, but does not penalize domestic carbon-consuming producers subject to imports from exporters in lower carbon-pricing jurisdictions. Thus, the economic model avoids a key shortcoming of cap-and-trade carbon pricing, and eliminates any incentive to inefficiently shift carbon consumption to jurisdictions with lower carbon tolls. 3) The economic model is a comprehensive, efficient and effective strategy that allows for the implementation of a carbon-pricing structure without the complete, explicit agreement of carbon consumers worldwide.

Earthquake behavior of steel cushion-implemented reinforced concrete frames

NASA Astrophysics Data System (ADS)

Özkaynak, Hasan

2018-04-01

The earthquake performance of vulnerable structures can be increased by the implementation of supplementary energy-dissipative metallic elements. The main aim of this paper is to describe the earthquake behavior of steel cushion-implemented reinforced concrete frames (SCI-RCFR) in terms of displacement demands and energy components. Several quasi-static experiments were performed on steel cushions (SC) installed in reinforced concrete (RC) frames. The test results served as the basis of the analytical models of SCs and a bare reinforced concrete frame (B-RCFR). These models were integrated in order to obtain the resulting analytical model of the SCI-RCFR. Nonlinear-time history analyses (NTHA) were performed on the SCI-RCFR under the effects of the selected earthquake data set. According to the NTHA, SC application is an effective technique for increasing the seismic performance of RC structures. The main portion of the earthquake input energy was dissipated through SCs. SCs succeeded in decreasing the plastic energy demand on structural elements by almost 50% at distinct drift levels.

A symbolic/subsymbolic interface protocol for cognitive modeling

PubMed Central

Simen, Patrick; Polk, Thad

2009-01-01

Researchers studying complex cognition have grown increasingly interested in mapping symbolic cognitive architectures onto subsymbolic brain models. Such a mapping seems essential for understanding cognition under all but the most extreme viewpoints (namely, that cognition consists exclusively of digitally implemented rules; or instead, involves no rules whatsoever). Making this mapping reduces to specifying an interface between symbolic and subsymbolic descriptions of brain activity. To that end, we propose parameterization techniques for building cognitive models as programmable, structured, recurrent neural networks. Feedback strength in these models determines whether their components implement classically subsymbolic neural network functions (e.g., pattern recognition), or instead, logical rules and digital memory. These techniques support the implementation of limited production systems. Though inherently sequential and symbolic, these neural production systems can exploit principles of parallel, analog processing from decision-making models in psychology and neuroscience to explain the effects of brain damage on problem solving behavior. PMID:20711520

Study protocol for "Study of Practices Enabling Implementation and Adaptation in the Safety Net (SPREAD-NET)": a pragmatic trial comparing implementation strategies.

PubMed

Gold, Rachel; Hollombe, Celine; Bunce, Arwen; Nelson, Christine; Davis, James V; Cowburn, Stuart; Perrin, Nancy; DeVoe, Jennifer; Mossman, Ned; Boles, Bruce; Horberg, Michael; Dearing, James W; Jaworski, Victoria; Cohen, Deborah; Smith, David

2015-10-16

Little research has directly compared the effectiveness of implementation strategies in any setting, and we know of no prior trials directly comparing how effectively different combinations of strategies support implementation in community health centers. This paper outlines the protocol of the Study of Practices Enabling Implementation and Adaptation in the Safety Net (SPREAD-NET), a trial designed to compare the effectiveness of several common strategies for supporting implementation of an intervention and explore contextual factors that impact the strategies' effectiveness in the community health center setting. This cluster-randomized trial compares how three increasingly hands-on implementation strategies support adoption of an evidence-based diabetes quality improvement intervention in 29 community health centers, managed by 12 healthcare organizations. The strategies are as follows: (arm 1) a toolkit, presented in paper and electronic form, which includes a training webinar; (arm 2) toolkit plus in-person training with a focus on practice change and change management strategies; and (arm 3) toolkit, in-person training, plus practice facilitation with on-site visits. We use a mixed methods approach to data collection and analysis: (i) baseline surveys on study clinic characteristics, to explore how these characteristics impact the clinics' ability to implement the tools and the effectiveness of each implementation strategy; (ii) quantitative data on change in rates of guideline-concordant prescribing; and (iii) qualitative data on the "how" and "why" underlying the quantitative results. The outcomes of interest are clinic-level results, categorized using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework, within an interrupted time-series design with segmented regression models. This pragmatic trial will compare how well each implementation strategy works in "real-world" practices. Having a better understanding of how different strategies support implementation efforts could positively impact the field of implementation science, by comparing practical, generalizable methods for implementing clinical innovations in community health centers. Bridging this gap in the literature is a critical step towards the national long-term goal of effectively disseminating and implementing effective interventions into community health centers. ClinicalTrials.gov, NCT02325531.

A journey into school health promotion: district implementation of the health promoting schools approach.

PubMed

Gleddie, Doug

2012-03-01

The health-promoting schools approach has gained momentum in the last decade with many jurisdictions providing guidelines and frameworks for general implementation. Although general agreement exists as to the broad strokes needed for effectiveness, less apparent are local implementation designs and models. The Battle River Project was designed to explore one such local implementation strategy for a provincial (Alberta, Canada) health promoting schools program. Located in the Battle River School Division, the project featured a partnership between Ever Active Schools, the school division and the local health authority. Case study was used to come to a greater understanding of how the health promoting schools approach worked in this particular school authority and model. Three themes emerged: participation, coordination and, integration.

The role and meaning of interim housing in housing first programs for people experiencing homelessness and mental illness.

PubMed

Zerger, Suzanne; Francombe Pridham, Katherine; Jeyaratnam, Jeyagobi; Connelly, Jolynn; Hwang, Stephen; O'Campo, Patricia; Stergiopoulos, Vicky

2014-07-01

The housing first (HF) model for individuals experiencing homelessness and mental illness differs by design from traditional models that require consumers to achieve "housing readiness" by meeting program or treatment prerequisites in transitional housing settings prior to permanent housing placement. Given a growing body of evidence for its favorable outcomes and cost effectiveness, HF is increasingly seen as an alternative to and argument against these traditional programs. As such, it is important that the elements and implementation challenges of the HF model be clearly understood and articulated. This qualitative study explored a largely unexamined aspect of the HF model-the need for and meaning of temporary residential settings (interim housing), a place to stay while waiting to secure permanent housing-using interviews and focus groups with service providers and consumers who experienced interim housing during implementation of HF in a large urban center. Although interim housing may not be necessary for all programs implementing the model, our study revealed numerous reasons and demands for safe, flexible interim housing options, and illustrated how they influence the effectiveness of consumer recovery, continuous service engagement, and housing stability.

An Ounce of Prevention, a Pound of Uncertainty: The Cost-Effectiveness of School-Based Drug Prevention Programs.

ERIC Educational Resources Information Center

Caulkins, Jonathan P.; Rydell, C. Peter; Everingham, Susan S.; Chiesa, James; Bushway, Shawn

This book describes an analysis of the cost-effectiveness of model school-based drug prevention programs at reducing cocaine consumption. It compares prevention's cost-effectiveness with that of several enforcement programs and with that of treating heavy cocaine users. It also assesses the cost of nationwide implementation of model prevention…

Implementation of a model of emergency care in an Australian hospital.

PubMed

Millichamp, Tracey; Bakon, Shannon; Christensen, Martin; Stock, Kate; Howarth, Sarah

2017-11-10

Emergency departments are characterised by a fast-paced, quick turnover and high acuity workload, therefore appropriate staffing is vital to ensure positive patient outcomes. Models of care are frameworks in which safe and effective patient-to-nurse ratios can be ensured. The aim of this study was to implement a supportive and transparent model of emergency nursing care that provides structure - regardless of nursing staff profile, business or other demands; improvement to nursing workloads; and promotes individual responsibility and accountability for patient care. A convergent parallel mixed-method approach was used. Quantitative data were analysed using descriptive statistics and the qualitative data used a thematic analysis to identify recurrent themes. Data post-implementation of the model of emergency nursing care indicate improved staff satisfaction in relation to workload, patient care and support structures. The development and implementation of a model of care in an emergency department improved staff workload and staff's perception of their ability to provide care. ©2017 RCN Publishing Company Ltd. All rights reserved. Not to be copied, transmitted or recorded in any way, in whole or part, without prior permission of the publishers.

Video-Based Modeling: Differential Effects due to Treatment Protocol

ERIC Educational Resources Information Center

Mason, Rose A.; Ganz, Jennifer B.; Parker, Richard I.; Boles, Margot B.; Davis, Heather S.; Rispoli, Mandy J.

2013-01-01

Identifying evidence-based practices for individuals with disabilities requires specification of procedural implementation. Video-based modeling (VBM), consisting of both video self-modeling and video modeling with others as model (VMO), is one class of interventions that has frequently been explored in the literature. However, current information…

Impact of DOTS compared with DOTS-plus on multidrug resistant tuberculosis and tuberculosis deaths: decision analysis.

PubMed

Sterling, Timothy R; Lehmann, Harold P; Frieden, Thomas R

2003-03-15

This study sought to determine the impact of the World Health Organization's directly observed treatment strategy (DOTS) compared with that of DOTS-plus on tuberculosis deaths, mainly in the developing world. Decision analysis with Monte Carlo simulation of a Markov decision tree. People with smear positive pulmonary tuberculosis. Analyses modelled different levels of programme effectiveness of DOTS and DOTS-plus, and high (10%) and intermediate (3%) proportions of primary multidrug resistant tuberculosis, while accounting for exogenous reinfection. The cumulative number of tuberculosis deaths per 100 000 population over 10 years. The model predicted that under DOTS, 276 people would die from tuberculosis (24 multidrug resistant and 252 not multidrug resistant) over 10 years under optimal implementation in an area with 3% primary multidrug resistant tuberculosis. Optimal implementation of DOTS-plus would result in four (1.5%) fewer deaths. If implementation of DOTS-plus were to result in a decrease of just 5% in the effectiveness of DOTS, 16% more people would die with tuberculosis than under DOTS alone. In an area with 10% primary multidrug resistant tuberculosis, 10% fewer deaths would occur under optimal DOTS-plus than under optimal DOTS, but 16% more deaths would occur if implementation of DOTS-plus were to result in a 5% decrease in the effectiveness of DOTS CONCLUSIONS: Under optimal implementation, fewer tuberculosis deaths would occur under DOTS-plus than under DOTS. If, however, implementation of DOTS-plus were associated with even minimal decreases in the effectiveness of treatment, substantially more patients would die than under DOTS.

Implementing health promotion tools in Australian Indigenous primary health care.

PubMed

Percival, Nikki A; McCalman, Janya; Armit, Christine; O'Donoghue, Lynette; Bainbridge, Roxanne; Rowley, Kevin; Doyle, Joyce; Tsey, Komla

2018-02-01

In Australia, significant resources have been invested in producing health promotion best practice guidelines, frameworks and tools (herein referred to as health promotion tools) as a strategy to improve Indigenous health promotion programmes. Yet, there has been very little rigorous implementation research about whether or how health promotion tools are implemented. This paper theorizes the complex processes of health promotion tool implementation in Indigenous comprehensive primary healthcare services. Data were derived from published and grey literature about the development and the implementation of four Indigenous health promotion tools. Tools were theoretically sampled to account for the key implementation types described in the literature. Data were analysed using the grounded-theory methods of coding and constant comparison with construct a theoretical implementation model. An Indigenous Health Promotion Tool Implementation Model was developed. Implementation is a social process, whereby researchers, practitioners and community members collectively interacted in creating culturally responsive health promotion to the common purpose of facilitating empowerment. The implementation of health promotion tools was influenced by the presence of change agents; a commitment to reciprocity and organizational governance and resourcing. The Indigenous Health Promotion Tool Implementation Model assists in explaining how health promotion tools are implemented and the conditions that influence these actions. Rather than simply developing more health promotion tools, our study suggests that continuous investment in developing conditions that support empowering implementation processes are required to maximize the beneficial impacts and effectiveness of health promotion tools. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Determining the Effectiveness and Evaluating the Implementation Process of a Quality/Performance Circles System Model to Assist in Institutional Decision Making and Problem Solving at Lakeshore Technical Institute.

ERIC Educational Resources Information Center

Ladwig, Dennis J.

During the 1982-83 school year, a quality/performance circles system model was implemented at Lakeshore Technical Institute (LTI) to promote greater participation by staff in decision making and problem solving. All management staff at the college (N=45) were invited to participate in the process, and 39 volunteered. Non-management staff (N=240)…

Comparison of effects of copropagated and precomputed atmosphere profiles on Monte Carlo trajectory simulation

NASA Technical Reports Server (NTRS)

Queen, Eric M.; Omara, Thomas M.

1990-01-01

A realization of a stochastic atmosphere model for use in simulations is presented. The model provides pressure, density, temperature, and wind velocity as a function of latitude, longitude, and altitude, and is implemented in a three degree of freedom simulation package. This implementation is used in the Monte Carlo simulation of an aeroassisted orbital transfer maneuver and results are compared to those of a more traditional approach.

Particle dispersion in homogeneous turbulence using the one-dimensional turbulence model

DOE PAGES

Sun, Guangyuan; Lignell, David O.; Hewson, John C.; ...

2014-10-09

Lagrangian particle dispersion is studied using the one-dimensional turbulence (ODT) model in homogeneous decaying turbulence configurations. The ODT model has been widely and successfully applied to a number of reacting and nonreacting flow configurations, but only limited application has been made to multiphase flows. We present a version of the particle implementation and interaction with the stochastic and instantaneous ODT eddy events. The model is characterized by comparison to experimental data of particle dispersion for a range of intrinsic particle time scales and body forces. Particle dispersion, velocity, and integral time scale results are presented. Moreover, the particle implementation introducesmore » a single model parameter β p , and sensitivity to this parameter and behavior of the model are discussed. Good agreement is found with experimental data and the ODT model is able to capture the particle inertial and trajectory crossing effects. Our results serve as a validation case of the multiphase implementations of ODT for extensions to other flow configurations.« less

Implementing a new governance model.

PubMed

Stanley-Clarke, Nicky; Sanders, Jackie; Munford, Robyn

2016-05-16

Purpose - The purpose of this paper is to discuss the lessons learnt from the process of implementing a new model of governance within Living Well, a New Zealand statutory mental health agency. Design/methodology/approach - It presents the findings from an organisational case study that involved qualitative interviews, meeting observations and document analysis. Archetype theory provided the analytical framework for the research enabling an analysis of both the formal structures and informal value systems that influenced the implementation of the governance model. Findings - The research found that the move to a new governance model did not proceed as planned. It highlighted the importance of staff commitment, the complexity of adopting a new philosophical approach and the undue influence of key personalities as key determining factors in the implementation process. The findings suggest that planners and managers within statutory mental health agencies need to consider the implications of any proposed governance change on existing roles and relationships, thinking strategically about how to secure professional commitment to change. Practical implications - There are ongoing pressures within statutory mental health agencies to improve the efficiency and effectiveness of organisational structures and systems. This paper has implications for how planners and managers think about the process of implementing new governance models within the statutory mental health environment in order to increase the likelihood of sustaining and embedding new approaches to service delivery. Originality/value - The paper presents insights into the process of implementing new governance models within a statutory mental health agency in New Zealand that has relevance for other jurisdictions.

Reducing eating disorder risk factors: A pilot effectiveness trial of a train-the-trainer approach to dissemination and implementation.

PubMed

Greif, Rebecca; Becker, Carolyn Black; Hildebrandt, Tom

2015-12-01

Impediments limit dissemination and implementation of evidence-based interventions (EBIs), including lack of sufficient training. One strategy to increase implementation of EBIs is the train-the-trainer (TTT) model. The Body Project is a peer-led body image program that reduces eating disorder (ED) risk factors. This study examined the effectiveness of a TTT model at reducing risk factors in Body Project participants. Specifically, this study examined whether a master trainer could train a novice trainer to train undergraduate peer leaders to administer the Body Project such that individuals who received the Body Project (i.e., participants) would evidence comparable outcomes to previous trials. We hypothesized that participants would evidence reductions in ED risk factors, with effect sizes similar to previous trials. Utilizing a TTT model, a master trainer trained a novice trainer to train undergraduate peer leaders to administer the Body Project to undergraduate women. Undergraduate women aged 18 years or older who received the Body Project intervention participated in the trial and completed measures at baseline, post-treatment, and five-month follow-up. Primary outcomes included body dissatisfaction, thin ideal internalization, negative affect, and ED pathology. Participants demonstrated significant reductions in thin ideal internalization, ED pathology and body dissatisfaction at post-treatment and 5-month follow-up. At 5 months, using three different strategies for managing missing data, effect sizes were larger or comparable to earlier trials for 3 out of 4 variables. Results support a TTT model for Body Project implementation and the importance of utilizing sensitivity analyses for longitudinal datasets with missing data. © 2015 Wiley Periodicals, Inc.

Lessons learned from the implementation of a bedside handoff model.

PubMed

Hagman, Jan; Oman, Kathleen; Kleiner, Catherine; Johnson, Elizabeth; Nordhagen, Jamie

2013-06-01

At the University of Colorado Hospital, nurse-to-nurse shift reports traditionally occurred in a conference room setting and consisted of nurse-to-nurse verbal communication. Evidence supports moving this information exchange to the patient bedside. This model of report improves clinical effectiveness, patient safety, nurse efficiency, and staff satisfaction. Bedside reporting empowers patients and families to ask questions and contribute to their plan of care and increases patient satisfaction. This article describes the process of implementing and evaluating a model of nurse-to-nurse bedside handoff report.

Effects of Learning Support in Simulation-Based Physics Learning

ERIC Educational Resources Information Center

Chang, Kuo-En; Chen, Yu-Lung; Lin, He-Yan; Sung, Yao-Ting

2008-01-01

This paper describes the effects of learning support on simulation-based learning in three learning models: experiment prompting, a hypothesis menu, and step guidance. A simulation learning system was implemented based on these three models, and the differences between simulation-based learning and traditional laboratory learning were explored in…

A sustainable model for training teachers to use pivotal response training.

PubMed

Suhrheinrich, Jessica

2015-08-01

The increase in the rate of autism diagnoses has created a growing demand for teachers who are trained to use effective interventions. The train-the-trainer model, which involves training supervisors to train others, may be ideal for providing cost-effective training and ongoing support to teachers. Although research supports interventions, such as pivotal response training, as evidence-based, dissemination to school environments has been problematic. This study assessed the benefits of using the train-the-trainer model to disseminate pivotal response training to school settings. A multiple-baseline design was conducted across three training groups, each consisting of one school staff member (trainer), three special education teachers, and six students. Trainers conducted the teacher-training workshop with high adherence to training protocol and met mastery criteria in their ability to implement pivotal response training, assess implementation of pivotal response training, and provide feedback to teachers. Six of the nine teachers mastered all components of pivotal response training. The remaining three teachers implemented 89% of the pivotal response training components correctly. The majority of trainers and teachers maintained their abilities at follow-up. These results support the use of the train-the-trainer model as an effective method of disseminating evidence-based practices in school settings. © The Author(s) 2014.

Accounting for context in studies of health inequalities: a review and comparison of analytic approaches.

PubMed

Schempf, Ashley H; Kaufman, Jay S

2012-10-01

A common epidemiologic objective is to evaluate the contribution of residential context to individual-level disparities by race or socioeconomic position. We reviewed analytic strategies to account for the total (observed and unobserved factors) contribution of environmental context to health inequalities, including conventional fixed effects (FE) and hybrid FE implemented within a random effects (RE) or a marginal model. To illustrate results and limitations of the various analytic approaches of accounting for the total contextual component of health disparities, we used data on births nested within neighborhoods as an applied example of evaluating neighborhood confounding of racial disparities in gestational age at birth, including both a continuous and a binary outcome. Ordinary and RE models provided disparity estimates that can be substantially biased in the presence of neighborhood confounding. Both FE and hybrid FE models can account for cluster level confounding and provide disparity estimates unconfounded by neighborhood, with the latter having greater flexibility in allowing estimation of neighborhood-level effects and intercept/slope variability when implemented in a RE specification. Given the range of models that can be implemented in a hybrid approach and the frequent goal of accounting for contextual confounding, this approach should be used more often. Published by Elsevier Inc.

Strategies for Effective Implementation of Science Models into 6-9 Grade Classrooms on Climate, Weather, and Energy Topics

NASA Astrophysics Data System (ADS)

Yarker, M. B.; Stanier, C. O.; Forbes, C.; Park, S.

2011-12-01

As atmospheric scientists, we depend on Numerical Weather Prediction (NWP) models. We use them to predict weather patterns, to understand external forcing on the atmosphere, and as evidence to make claims about atmospheric phenomenon. Therefore, it is important that we adequately prepare atmospheric science students to use computer models. However, the public should also be aware of what models are in order to understand scientific claims about atmospheric issues, such as climate change. Although familiar with weather forecasts on television and the Internet, the general public does not understand the process of using computer models to generate a weather and climate forecasts. As a result, the public often misunderstands claims scientists make about their daily weather as well as the state of climate change. Since computer models are the best method we have to forecast the future of our climate, scientific models and modeling should be a topic covered in K-12 classrooms as part of a comprehensive science curriculum. According to the National Science Education Standards, teachers are encouraged to science models into the classroom as a way to aid in the understanding of the nature of science. However, there is very little description of what constitutes a science model, so the term is often associated with scale models. Therefore, teachers often use drawings or scale representations of physical entities, such as DNA, the solar system, or bacteria. In other words, models used in classrooms are often used as visual representations, but the purpose of science models is often overlooked. The implementation of a model-based curriculum in the science classroom can be an effective way to prepare students to think critically, problem solve, and make informed decisions as a contributing member of society. However, there are few resources available to help teachers implement science models into the science curriculum effectively. Therefore, this research project looks at strategies middle school science teachers use to implement science models into their classrooms. These teachers in this study took part in a week-long professional development designed to orient them towards appropriate use of science models for a unit on weather, climate, and energy concepts. The goal of this project is to describe the professional development and describe how teachers intend to incorporate science models into each of their individual classrooms.

Improving School Effectiveness: The Dynamics of Implementation.

ERIC Educational Resources Information Center

Gaynor, Alan K.; Clauset, Karl H., Jr.

Six causal-influence diagrams introduce a model showing the difficulties of implementing school improvement policies in such areas as teacher expectations and student behavior. The first diagram deals with basic dynamics of improvement. Cybernetics of activities to correct student achievement are revealed in a second diagram, which portrays…

Teaching physical activities to students with significant disabilities using video modeling.

PubMed

Cannella-Malone, Helen I; Mizrachi, Sharona V; Sabielny, Linsey M; Jimenez, Eliseo D

2013-06-01

The objective of this study was to examine the effectiveness of video modeling on teaching physical activities to three adolescents with significant disabilities. The study implemented a multiple baseline across six physical activities (three per student): jumping rope, scooter board with cones, ladder drill (i.e., feet going in and out), ladder design (i.e., multiple steps), shuttle run, and disc ride. Additional prompt procedures (i.e., verbal, gestural, visual cues, and modeling) were implemented within the study. After the students mastered the physical activities, we tested to see if they would link the skills together (i.e., complete an obstacle course). All three students made progress learning the physical activities, but only one learned them with video modeling alone (i.e., without error correction). Video modeling can be an effective tool for teaching students with significant disabilities various physical activities, though additional prompting procedures may be needed.

Manual for LS-DYNA Wood Material Model 143

DOT National Transportation Integrated Search

2007-08-01

An elastoplastic damage model with rate effects was developed for wood and was implemented into LS-DYNA, a commercially available finite element code. This manual documents the theory of the wood material model, describes the LS-DYNA input and output...

Forecasting asthma-related hospital admissions in London using negative binomial models.

PubMed

Soyiri, Ireneous N; Reidpath, Daniel D; Sarran, Christophe

2013-05-01

Health forecasting can improve health service provision and individual patient outcomes. Environmental factors are known to impact chronic respiratory conditions such as asthma, but little is known about the extent to which these factors can be used for forecasting. Using weather, air quality and hospital asthma admissions, in London (2005-2006), two related negative binomial models were developed and compared with a naive seasonal model. In the first approach, predictive forecasting models were fitted with 7-day averages of each potential predictor, and then a subsequent multivariable model is constructed. In the second strategy, an exhaustive search of the best fitting models between possible combinations of lags (0-14 days) of all the environmental effects on asthma admission was conducted. Three models were considered: a base model (seasonal effects), contrasted with a 7-day average model and a selected lags model (weather and air quality effects). Season is the best predictor of asthma admissions. The 7-day average and seasonal models were trivial to implement. The selected lags model was computationally intensive, but of no real value over much more easily implemented models. Seasonal factors can predict daily hospital asthma admissions in London, and there is a little evidence that additional weather and air quality information would add to forecast accuracy.

Longitudinal Evaluation of a Scale-up Model for Teaching Mathematics with Trajectories and Technologies: Persistence of Effects in the Third Year

ERIC Educational Resources Information Center

Clements, Douglas H.; Sarama, Julie; Wolfe, Christopher B.; Spitler, Mary Elaine

2013-01-01

Using a cluster randomized trial design, we evaluated the persistence of effects of a research-based model for scaling up educational interventions. The model was implemented in 42 schools in two city districts serving low-resource communities, randomly assigned to three conditions. In pre-kindergarten, the two experimental interventions were…

Collaborative Workshops and Student Academic Performance in Introductory College Mathematics Courses: A Study of a Treisman Model Math Excel Program.

ERIC Educational Resources Information Center

Duncan, Hollis; Dick, Thomas

2000-01-01

Describes the Treisman model which involves supplemental workshops in which college students solve problems in collaborative learning groups. Reports on the effectiveness of Math Excel, an implementation of the Treisman model for introductory mathematics courses at Oregon State University over five academic terms. Reveals a significant effect on…

An exploration of how clinician attitudes and beliefs influence the implementation of lifestyle risk factor management in primary healthcare: a grounded theory study

PubMed Central

Laws, Rachel A; Kemp, Lynn A; Harris, Mark F; Davies, Gawaine Powell; Williams, Anna M; Eames-Brown, Rosslyn

2009-01-01

Background Despite the effectiveness of brief lifestyle intervention delivered in primary healthcare (PHC), implementation in routine practice remains suboptimal. Beliefs and attitudes have been shown to be associated with risk factor management practices, but little is known about the process by which clinicians' perceptions shape implementation. This study aims to describe a theoretical model to understand how clinicians' perceptions shape the implementation of lifestyle risk factor management in routine practice. The implications of the model for enhancing practices will also be discussed. Methods The study analysed data collected as part of a larger feasibility project of risk factor management in three community health teams in New South Wales (NSW), Australia. This included journal notes kept through the implementation of the project, and interviews with 48 participants comprising 23 clinicians (including community nurses, allied health practitioners and an Aboriginal health worker), five managers, and two project officers. Data were analysed using grounded theory principles of open, focused, and theoretical coding and constant comparative techniques to construct a model grounded in the data. Results The model suggests that implementation reflects both clinician beliefs about whether they should (commitment) and can (capacity) address lifestyle issues. Commitment represents the priority placed on risk factor management and reflects beliefs about role responsibility congruence, client receptiveness, and the likely impact of intervening. Clinician beliefs about their capacity for risk factor management reflect their views about self-efficacy, role support, and the fit between risk factor management ways of working. The model suggests that clinicians formulate different expectations and intentions about how they will intervene based on these beliefs about commitment and capacity and their philosophical views about appropriate ways to intervene. These expectations then provide a cognitive framework guiding their risk factor management practices. Finally, clinicians' appraisal of the overall benefits versus costs of addressing lifestyle issues acts to positively or negatively reinforce their commitment to implementing these practices. Conclusion The model extends previous research by outlining a process by which clinicians' perceptions shape implementation of lifestyle risk factor management in routine practice. This provides new insights to inform the development of effective strategies to improve such practices. PMID:19825189

Collaborative Chronic Care Models for Mental Health Conditions: Cumulative Meta-Analysis and Meta-Regression to Guide Future Research and Implementation

PubMed Central

Grogan-Kaylor, Andrew; Perron, Brian E.; Kilbourne, Amy M.; Woltmann, Emily; Bauer, Mark S.

2013-01-01

Objective Prior meta-analysis indicates that collaborative chronic care models (CCMs) improve mental and physical health outcomes for individuals with mental disorders. This study aimed to investigate the stability of evidence over time and identify patient and intervention factors associated with CCM effects in order to facilitate implementation and sustainability of CCMs in clinical practice. Method We reviewed 53 CCM trials that analyzed depression, mental quality of life (QOL), or physical QOL outcomes. Cumulative meta-analysis and meta-regression were supplemented by descriptive investigations across and within trials. Results Most trials targeted depression in the primary care setting, and cumulative meta-analysis indicated that effect sizes favoring CCM quickly achieved significance for depression outcomes, and more recently achieved significance for mental and physical QOL. Four of six CCM elements (patient self-management support, clinical information systems, system redesign, and provider decision support) were common among reviewed trials, while two elements (healthcare organization support and linkages to community resources) were rare. No single CCM element was statistically associated with the success of the model. Similarly, meta-regression did not identify specific factors associated with CCM effectiveness. Nonetheless, results within individual trials suggest that increased illness severity predicts CCM outcomes. Conclusions Significant CCM trials have been derived primarily from four original CCM elements. Nonetheless, implementing and sustaining this established model will require healthcare organization support. While CCMs have typically been tested as population-based interventions, evidence supports stepped care application to more severely ill individuals. Future priorities include developing implementation strategies to support adoption and sustainability of the model in clinical settings while maximizing fit of this multi-component framework to local contextual factors. PMID:23938600

Guiding Principles for Data Architecture to Support the Pathways Community HUB Model

PubMed Central

Zeigler, Bernard P.; Redding, Sarah; Leath, Brenda A.; Carter, Ernest L.; Russell, Cynthia

2016-01-01

Introduction: The Pathways Community HUB Model provides a unique strategy to effectively supplement health care services with social services needed to overcome barriers for those most at risk of poor health outcomes. Pathways are standardized measurement tools used to define and track health and social issues from identification through to a measurable completion point. The HUB use Pathways to coordinate agencies and service providers in the community to eliminate the inefficiencies and duplication that exist among them. Pathways Community HUB Model and Formalization: Experience with the Model has brought out the need for better information technology solutions to support implementation of the Pathways themselves through decision-support tools for care coordinators and other users to track activities and outcomes, and to facilitate reporting. Here we provide a basis for discussing recommendations for such a data infrastructure by developing a conceptual model that formalizes the Pathway concept underlying current implementations. Requirements for Data Architecture to Support the Pathways Community HUB Model: The main contribution is a set of core recommendations as a framework for developing and implementing a data architecture to support implementation of the Pathways Community HUB Model. The objective is to present a tool for communities interested in adopting the Model to learn from and to adapt in their own development and implementation efforts. Problems with Quality of Data Extracted from the CHAP Database: Experience with the Community Health Access Project (CHAP) data base system (the core implementation of the Model) has identified several issues and remedies that have been developed to address these issues. Based on analysis of issues and remedies, we present several key features for a data architecture meeting the just mentioned recommendations. Implementation of Features: Presentation of features is followed by a practical guide to their implementation allowing an organization to consider either tailoring off-the-shelf generic systems to meet the requirements or offerings that are specialized for community-based care coordination. Discussion: Looking to future extensions, we discuss the utility and prospects for an ontology to include care coordination in the Unified Medical Language System (UMLS) of the National Library of Medicine and other existing medical and nursing taxonomies. Conclusions and Recommendations: Pathways structures are an important principle, not only for organizing the care coordination activities, but also for structuring the data stored in electronic form in the conduct of such care. We showed how the proposed architecture encourages design of effective decision support systems for coordinated care and suggested how interested organizations can set about acquiring such systems. Although the presentation focuses on the Pathways Community HUB Model, the principles for data architecture are stated in generic form and are applicable to any health information system for improving care coordination services and population health. PMID:26870743

Historical short stories as nature of science instruction in secondary science classrooms: Science teachers' implementation and students' reactions

NASA Astrophysics Data System (ADS)

Reid-Smith, Jennifer Ann

This study explores the use of historical short stories as nature of science (NOS) instruction in thirteen secondary science classes. The stories focus on the development of science ideas and include statements and questions to draw students' and teachers' attention to key NOS ideas and misconceptions. This study used mixed methods to examine how teachers implement the stories, factors influencing teachers' implementation, the impact on students' NOS understanding, students' interest in the stories and factors correlated with their interest. Teachers' implementation decisions were influenced by their NOS understanding, curricula, time constraints, perceptions of student ability and resistance, and student goals. Teachers implementing stories at a high-level of effectiveness were more likely to make instructional decisions to mitigate constraints from the school environment and students. High-level implementers frequently referred to their learning goals for students as a rationale for implementing the stories even when facing constraints. Teachers implementing at a low-level of effectiveness were more likely to express that constraints inhibited effective implementation. Teachers at all levels of implementation expressed concern regarding the length of the stories and time required to fully implement the stories. Additionally, teachers at all levels of implementation expressed a desire for additional resources regarding effective story implementation and reading strategies. Evidence exists that the stories can be used to improve students' NOS understanding. However, under what conditions the stories are effective is still unclear. Students reported finding the stories more interesting than textbook readings and many students enjoyed learning about scientists and the development of science idea. Students' interest in the stories is correlated with their attitudes towards reading, views of effective science learning, attributions of academic success, and interest in a science-related career. If NOS instructional materials are to be used effectively, designers must take into account the needs of classroom teachers by limiting the length of the materials and providing additional teacher support resources. Many teachers will likely require professional development opportunities to build their NOS understanding, develop a compelling rationale for teaching NOS and using the stories, observe modeling of effective implementation, and collaborate with other teachers regarding how to mitigate constraints.

Evaluating the implementation of health and safety innovations under a regulatory context: a collective case study of Ontario's safer needle regulation.

PubMed

Chambers, Andrea; Mustard, Cameron A; Breslin, Curtis; Holness, Linn; Nichol, Kathryn

2013-01-22

Implementation effectiveness models have identified important factors that can promote the successful implementation of an innovation; however, these models have been examined within contexts where innovations are adopted voluntarily and often ignore the socio-political and environmental context. In the field of occupational health and safety, there are circumstances where organizations must adopt innovations to comply with a regulatory standard. Examining how the external environment can facilitate or challenge an organization's change process may add to our understanding of implementation effectiveness. The objective of this study is to describe implementation facilitators and barriers in the context of a regulation designed to promote the uptake of safer engineered medical devices in healthcare. The proposed study will focus on Ontario's safer needle regulation (2007) which requires healthcare organizations to transition to the use of safer engineered medical devices for the prevention of needlestick injuries. A collective case study design will be used to learn from the experiences of three acute care hospitals in the province of Ontario, Canada. Interviews with management and front-line healthcare workers and analysis of supporting documents will be used to describe the implementation experience and examine issues associated with the integration of these devices. The data collection and analysis process will be influenced by a conceptual framework that draws from implementation science and the occupational health and safety literature. The focus of this study in addition to the methodology creates a unique opportunity to contribute to the field of implementation science. First, the study will explore implementation experiences under circumstances where regulatory pressures are influencing the organization's change process. Second, the timing of this study provides an opportunity to focus on issues that arise during later stages of implementation, a phase during the implementation cycle that has been understudied. This study also provides the opportunity to examine the relevance and utility of current implementation science models in the field of occupational health where the adoption of an innovation is meant to enhance the health and safety of workers. Previous work has tended to focus almost exclusively on innovations that are designed to enhance an organization's productivity or competitive advantage.

Information Management Utilizing Valued Information at the Right Time (VIRT) as Applied to a Joint Terminal Attack Controller (JTAC) Mission

DTIC Science & Technology

2008-03-01

technology in an effective way without taking a decade for implementation. 15. NUMBER OF PAGES 77 14. SUBJECT TERMS VIRT, Model Based... effective way without taking a decade for implementation. vi THIS PAGE INTENTIONALLY LEFT BLANK vii TABLE OF CONTENTS I. INTRODUCTION...To build the most effective force for 2020, we must be fully joint.”2 What does being fully joint mean and how does the DoD take advantage of

Implementing Same Day Discharge Following Percutaneous Coronary Intervention: A Process Evaluation.

PubMed

Chen, Yingyan; Lin, Frances; Marshall, Andrea

2018-06-14

The safety and effectiveness of same day discharge (SDD) following percutaneous coronary intervention are well demonstrated; however, the uptake of this model of care is low. The aim was to examine the effectiveness of implementing SDD using a process evaluation methodology. This study was undertaken in a cardiac services department of a tertiary teaching hospital in southeast Queensland, Australia. It was anticipated before the implementation that 120 patients could be discharged the same day in a 6 months' time period. Patient selection process and guideline adherence were assessed along with patients' and relatives' satisfaction. During implementation, 22 patients were discharged home the same day. It was found that staff did not follow the guideline consistently, with an overall adherence of 77.3%. The uptake of SDD was low in this implementation. The study is important as it provides direction for future improvement both in the criteria and the implementation process.

Implementation fidelity of Multidimensional Family Therapy in an international trial.

PubMed

Rowe, Cynthia; Rigter, Henk; Henderson, Craig; Gantner, Andreas; Mos, Kees; Nielsen, Philip; Phan, Olivier

2013-04-01

Implementation fidelity, a critical aspect of clinical trials research that establishes adequate delivery of the treatment as prescribed in treatment manuals and protocols, is also essential to the successful implementation of effective programs into new practice settings. Although infrequently studied in the drug abuse field, stronger implementation fidelity has been linked to better outcomes in practice but appears to be more difficult to achieve with greater distance from model developers. In the INternational CAnnabis Need for Treatment (INCANT) multi-national randomized clinical trial, investigators tested the effectiveness of Multidimensional Family Therapy (MDFT) in comparison to individual psychotherapy (IP) in Brussels, Berlin, Paris, The Hague, and Geneva with 450 adolescents with a cannabis use disorder and their parents. This study reports on the implementation fidelity of MDFT across these five Western European sites in terms of treatment adherence, dose and program differentiation, and discusses possible implications for international implementation efforts. Copyright © 2013 Elsevier Inc. All rights reserved.

The Integrated Transport and Health Impact Modeling Tool in Nashville, Tennessee, USA: Implementation Steps and Lessons Learned

PubMed Central

Whitfield, Geoffrey P; Meehan, Leslie A; Maizlish, Neil; Wendel, Arthur M

2016-01-01

The Integrated Transport and Health Impact Model (ITHIM) is a comprehensive tool that estimates the hypothetical health effects of transportation mode shifts through changes to physical activity, air pollution, and injuries. The purpose of this paper is to describe the implementation of ITHIM in greater Nashville, Tennessee (USA), describe important lessons learned, and serve as an implementation guide for other practitioners and researchers interested in running ITHIM. As might be expected in other metropolitan areas in the US, not all the required calibration data was available locally. We utilized data from local, state, and federal sources to fulfill the 14 ITHIM calibration items, which include disease burdens, travel habits, physical activity participation, air pollution levels, and traffic injuries and fatalities. Three scenarios were developed that modeled stepwise increases in walking and bicycling, and one that modeled reductions in car travel. Cost savings estimates were calculated by scaling national-level, disease-specific direct treatment costs and indirect lost productivity costs to the greater Nashville population of approximately 1.5 million. Implementation required approximately one year of intermittent, part-time work. Across the range of scenarios, results suggested that 24 to 123 deaths per year could be averted in the region through a 1%–5% reduction in the burden of several chronic diseases. This translated into $10–$63 million in estimated direct and indirect cost savings per year. Implementing ITHIM in greater Nashville has provided local decision makers with important information on the potential health effects of transportation choices. Other jurisdictions interested in ITHIM might find the Nashville example as a useful guide to streamline the effort required to calibrate and run the model. PMID:27595067

Network Reduction Algorithm for Developing Distribution Feeders for Real-Time Simulators

DOE Office of Scientific and Technical Information (OSTI.GOV)

Nagarajan, Adarsh; Nelson, Austin A; Prabakar, Kumaraguru

As advanced grid-support functions (AGF) become more widely used in grid-connected photovoltaic (PV) inverters, utilities are increasingly interested in their impacts when implemented in the field. These effects can be understood by modeling feeders in real-time simulators and test PV inverters using power hardware-in-the-loop (PHIL) techniques. This paper presents a novel feeder model reduction algorithm using a ruin & reconstruct methodology that enables large feeders to be solved and operated on real-time computing platforms. Two Hawaiian Electric feeder models in Synergi Electric's load flow software were converted to reduced order models in OpenDSS, and subsequently implemented in the OPAL-RT real-timemore » digital testing platform. Smart PV inverters were added to the realtime model with AGF responses modeled after characterizing commercially available hardware inverters. Finally, hardware inverters were tested in conjunction with the real-time model using PHIL techniques so that the effects of AGFs on the feeders could be analyzed.« less

Network Reduction Algorithm for Developing Distribution Feeders for Real-Time Simulators: Preprint

DOE Office of Scientific and Technical Information (OSTI.GOV)

Nagarajan, Adarsh; Nelson, Austin; Prabakar, Kumaraguru

As advanced grid-support functions (AGF) become more widely used in grid-connected photovoltaic (PV) inverters, utilities are increasingly interested in their impacts when implemented in the field. These effects can be understood by modeling feeders in real-time systems and testing PV inverters using power hardware-in-the-loop (PHIL) techniques. This paper presents a novel feeder model reduction algorithm using a Monte Carlo method that enables large feeders to be solved and operated on real-time computing platforms. Two Hawaiian Electric feeder models in Synergi Electric's load flow software were converted to reduced order models in OpenDSS, and subsequently implemented in the OPAL-RT real-time digitalmore » testing platform. Smart PV inverters were added to the real-time model with AGF responses modeled after characterizing commercially available hardware inverters. Finally, hardware inverters were tested in conjunction with the real-time model using PHIL techniques so that the effects of AGFs on the choice feeders could be analyzed.« less

Data on Enacted Curriculum Study: Summary of Findings Experimental Design Study of Effectiveness of DEC Professional Development Model in Urban Middle Schools

ERIC Educational Resources Information Center

Blank, Rolf K.

2004-01-01

The purpose of the three-year CCSSO study was to design, implement, and test the effectiveness of the Data on Enacted Curriculum (DEC) model for improving math and science instruction. The model was tested by measuring its effects with a randomly selected sample of ?treatment? schools at the middle grades level as compared to a control group of…

The effectiveness and cost effectiveness of the PAtient-Centred Team (PACT) model: study protocol of a prospective matched control before-and-after study.

PubMed

Bergmo, Trine S; Berntsen, Gro K; Dalbakk, Monika; Rumpsfeld, Markus

2015-10-23

The present study protocol describes the evaluation of a comprehensive integrated care model implemented at two hospital sites at the University Hospital of North Norway (UNN). The PAtient Centred Team (PACT) model includes proactive, patient-centred interdisciplinary teams that aim to improve the continuum and quality of care of frail elderly patients and reduce health care costs. The main objectives of the evaluation are to analyse the effectiveness and cost effectiveness of using patient-centred teams as part of routine service provision for this patient group. The evaluation will analyse the effect on patient health and functional status, patient experiences and hospital utilisation, and it will conduct an economic evaluation. This paper describes the PACT model and the rationale for and design of the planned effectiveness and cost-effectiveness study. This is a prospective, non-randomised matched control before-and-after intervention study. Patients in the intervention group will be recruited from the hospital sites that have implemented the PACT model. The controls will be recruited from two hospitals without the model. The control patients and the index patients will be matched according to sex, age and number of long-term conditions. The study aims to include 600 patients in each group, which will provide sufficient power to detect a clinical change in the primary outcome. The primary outcome is the physical dimension of the Short Form Health Survey (SF-36). Secondary outcomes are the Patient Generated Index (PGI), the Patient Activation Measure (PAM), the Patient Assessment of Chronic Illness Care (PACIC), hospitalisation and length of stay. The cost-effectiveness study takes a health provider perspective and calculates the cost per quality-adjusted life-years (QALYs) gained. The data will be collected at baseline, 6 and 12 months. The data will be analysed using techniques and models that recognise the lack of randomisation and the correlation of cost and effect data. The study results will provide knowledge about whether the integrated care model implemented at UNN improves the quality of care for the frail elderly with multiple conditions. The study will establish whether the PAC. T model improves health and functional status and is cost effective compared to the usual care for this patient group. ClinicalTrials.gov: NCT02541474.

Modeling the Impact of Smoking Cessation Treatment Policies on Quit Rates

PubMed Central

Levy, David T.; Graham, Amanda L.; Mabry, Patricia L.; Abrams, David B.; Orleans, C. Tracy

2010-01-01

Background: Smoking cessation treatment policies could yield substantial increases in adult quit rates in the U.S. Purpose: The goals of this paper are to model the effects of individual cessation treatment policies on population quit rates, and to illustrate the potential benefits of combining policies to leverage their synergistic effects. Methods: A mathematical model is updated to examine the impact of five cessation treatment policies on quit attempts, treatment use, and treatment effectiveness. Policies include: (1) Expand cessation treatment coverage and provider reimbursement; (2) Mandate adequate funding for the use and promotion of evidence-based state-sponsored telephone quitlines; (3) Support healthcare systems changes to prompt, guide, and incentivize tobacco treatment; (4) Support and promote evidence-based treatment via the Internet; and (5) Improve individually tailored, stepped care approaches and the long-term effectiveness of evidence-based treatments. Results: The annual baseline population quit rate is 4.3% of all current smokers. Implementing any policy in isolation is projected to make the quit rate increase to between 4.5% and 6%. By implementing all five policies in combination, the quit rate is projected to increase to 10.9%, or 2.5 times the baseline rate. Conclusions: If fully implemented in a coordinated fashion, cessation treatment policies could reduce smoking prevalence from its current rate of 20.5% to 17.2% within 1 year. By modeling the policy impacts on the components of the population quit rate (quit attempts, treatment use, treatment effectiveness), key indicators are identified to analyze in improving the effect of cessation treatment policies. PMID:20176309

IMPLEMENTATION AND SUSTAINABILITY OF CHILD-PARENT PSYCHOTHERAPY: THE ROLE OF REFLECTIVE CONSULTATION IN THE LEARNING COLLABORATIVE MODEL.

PubMed

Noroña, Carmen Rosa; Acker, Michelle L

2016-11-01

Recent implementation science in mental health has focused on identifying the most effective strategies to disseminate and implement evidence-based treatments (EBTs) into real-world practice settings. The learning collaborative training methodology and its use of expert trainers/consultants have become increasingly popular as one of these approaches. Moreover, there is preliminary evidence that ongoing expert consultation may increase the adoption, learning, and sustainability of EBTs by an already practicing workforce and, consequently, help trainers, practitioners, and organizations address implementation barriers. This article describes the authors' experiences in facilitating Child-Parent Psychotherapy (CPP) training and explores the role of reflective clinical consultation as an active process that supports the implementation of a rich, but complex, model that requires sophisticated knowledge and skills from practitioners. It examines the intricate range of the CPP consultant's functions, which ultimately support clinicians' reflective practice as they learn and adopt this EBT. Reflective consultation is proposed as an essential component for the integration of knowledge, experience, and emotions in practitioners and as a catalyst for organizational change. Using their voices as trainers-consultants and those of their trainees, the authors discuss the implications of reflective consultation for the effective implementation and sustainability of CPP. Reflections are offered on lessons learned. © 2016 Michigan Association for Infant Mental Health.

The Role of Lean Process Improvement in Implementation of Evidence-Based Practices in Behavioral Health Care.

PubMed

Steinfeld, Bradley; Scott, Jennifer; Vilander, Gavin; Marx, Larry; Quirk, Michael; Lindberg, Julie; Koerner, Kelly

2015-10-01

To effectively implement evidence-based practices (EBP) in behavioral health care, an organization needs to have operating structures and processes that can address core EBP implementation factors and stages. Lean, a widely used quality improvement process, can potentially address the factors crucial to successful implementation of EBP. This article provides an overview of Lean and the relationship between Lean process improvement steps, and EBP implementation models. Examples of how Lean process improvement methodologies can be used to help plan and carry out implementation of EBP in mental health delivery systems are presented along with limitations and recommendations for future research and clinical application.

Toward optimal implementation of cancer prevention and control programs in public health: a study protocol on mis-implementation.

PubMed

Padek, Margaret; Allen, Peg; Erwin, Paul C; Franco, Melissa; Hammond, Ross A; Heuberger, Benjamin; Kasman, Matt; Luke, Doug A; Mazzucca, Stephanie; Moreland-Russell, Sarah; Brownson, Ross C

2018-03-23

Much of the cancer burden in the USA is preventable, through application of existing knowledge. State-level funders and public health practitioners are in ideal positions to affect programs and policies related to cancer control. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Greater attention to mis-implementation should lead to use of effective interventions and more efficient expenditure of resources, which in the long term, will lead to more positive cancer outcomes. This is a three-phase study that takes a comprehensive approach, leading to the elucidation of tactics for addressing mis-implementation. Phase 1: We assess the extent to which mis-implementation is occurring among state cancer control programs in public health. This initial phase will involve a survey of 800 practitioners representing all states. The programs represented will span the full continuum of cancer control, from primary prevention to survivorship. Phase 2: Using data from phase 1 to identify organizations in which mis-implementation is particularly high or low, the team will conduct eight comparative case studies to get a richer understanding of mis-implementation and to understand contextual differences. These case studies will highlight lessons learned about mis-implementation and identify hypothesized drivers. Phase 3: Agent-based modeling will be used to identify dynamic interactions between individual capacity, organizational capacity, use of evidence, funding, and external factors driving mis-implementation. The team will then translate and disseminate findings from phases 1 to 3 to practitioners and practice-related stakeholders to support the reduction of mis-implementation. This study is innovative and significant because it will (1) be the first to refine and further develop reliable and valid measures of mis-implementation of public health programs; (2) bring together a strong, transdisciplinary team with significant expertise in practice-based research; (3) use agent-based modeling to address cancer control implementation; and (4) use a participatory, evidence-based, stakeholder-driven approach that will identify key leverage points for addressing mis-implementation among state public health programs. This research is expected to provide replicable computational simulation models that can identify leverage points and public health system dynamics to reduce mis-implementation in cancer control and may be of interest to other health areas.

Research on Duplication Dynamics and Evolutionary Stable of Reverse Supply Chain

NASA Astrophysics Data System (ADS)

Huizhong, Dong; Hongli, Song

An evolutionary game model of Reverse Supply Chain(RSC) is established based on duplication dynamics function and evolutionary stable strategy. Using the model framework, this paper provides insights into a deeper understanding on how each supplier make strategic decision independently in reverse supply chain to determine their performance. The main conclusion is as follow: Under the market mechanism, not unless the extra income derived from the implementation of RSC exceeds zero point would the suppliers implement RSC strategy. When those suppliers are passive to RSC, the effective solution is that the government takes macro-control measures, for example, to force those suppliers implement RSC through punishment mechanism.

"The Day After": The Organizational Consequences of Innovation Implementation in Experimental Schools

ERIC Educational Resources Information Center

Gilad-Hai, Smadar; Somech, Anit

2016-01-01

Purpose: The purpose of this paper is to examine the implications of implementing innovation in experimental schools (focussing on R & D) for school effectiveness post-intervention (five years). Based on theoretical models of social exchange and "conservation of resources" (Hobfoll, 1989), the authors focussed on assessing the…

The Implementation of Learning Together in Improving Students' Mathematical Performance

ERIC Educational Resources Information Center

Hobri; Dafik; Hossain, Anowar

2018-01-01

This research study investigated the effects of Learning Together model of group learning on students' mathematics achievement and attitudes toward mathematics, and identified teachers' perception on the implementation of Learning Together in secondary mathematics classrooms in Natore, Bangladesh. The mood of triangulation, a combination of…

Professional Development with Video Modeling: Effects on Behavior Specific Praise in General Education Classrooms

ERIC Educational Resources Information Center

Barry, Colleen

2016-01-01

Federal mandates require teachers to implement evidence-based strategies in their classrooms; however, due to gaps between research and practice, these evidence-based practices are inconsistently implemented across educational settings. Although intended to address this, teacher professional developments are most commonly delivered in a…

A Model for Pedagogical and Curricula Transformation with Technology.

ERIC Educational Resources Information Center

Wetzel, David R.

The purpose of this study was to investigate the factors that influenced five middle school science teachers as they implemented and integrated instructional technology in their curricula, along with determining the effects that implementation and integration of instructional technology had on their pedagogy and curricula. The study involved…

The Effects of Implementing TopModel Concepts in the Noah Model

NASA Technical Reports Server (NTRS)

Peters-Lidard, C. D.; Houser, Paul R. (Technical Monitor)

2002-01-01

Topographic effects on runoff generation have been documented observationally (e.g., Dunne and Black, 1970) and are the subject of the physically based rainfall-runoff model TOPMODEL (Beven and Kirkby, 1979; Beven, 1986a;b) and its extensions, which incorporate variable soil transmissivity effects (Sivapalan et al, 1987, Wood et al., 1988; 1990). These effects have been shown to exert significant control over the spatial distribution of runoff, soil moisture and evapotranspiration, and by extension, the latent and sensible heat fluxes

Effect of a checklist on advanced trauma life support workflow deviations during trauma resuscitations without pre-arrival notification.

PubMed

Kelleher, Deirdre C; Jagadeesh Chandra Bose, R P; Waterhouse, Lauren J; Carter, Elizabeth A; Burd, Randall S

2014-03-01

Trauma resuscitations without pre-arrival notification are often initially chaotic, which can potentially compromise patient care. We hypothesized that trauma resuscitations without pre-arrival notification are performed with more variable adherence to ATLS protocol and that implementation of a checklist would improve performance. We analyzed event logs of trauma resuscitations from two 4-month periods before (n = 222) and after (n = 215) checklist implementation. Using process mining techniques, individual resuscitations were compared with an ideal workflow model of 6 ATLS primary survey tasks performed by the bedside evaluator and given model fitness scores (range 0 to 1). Mean fitness scores and frequency of conformance (fitness = 1) were compared (using Student's t-test or chi-square test, as appropriate) for activations with and without notification both before and after checklist implementation. Multivariable linear regression, controlling for patient and resuscitation characteristics, was also performed to assess the association between pre-arrival notification and model fitness before and after checklist implementation. Fifty-five (12.6%) resuscitations lacked pre-arrival notification (23 pre-implementation and 32 post-implementation; p = 0.15). Before checklist implementation, resuscitations without notification had lower fitness (0.80 vs 0.90; p < 0.001) and conformance (26.1% vs 50.8%; p = 0.03) than those with notification. After checklist implementation, the fitness (0.80 vs 0.91; p = 0.007) and conformance (26.1% vs 59.4%; p = 0.01) improved for resuscitations without notification, but still remained lower than activations with notification. In multivariable analysis, activations without notification had lower fitness both before (b = -0.11, p < 0.001) and after checklist implementation (b = -0.04, p = 0.02). Trauma resuscitations without pre-arrival notification are associated with a decreased adherence to key components of the ATLS primary survey protocol. The addition of a checklist improves protocol adherence and reduces the effect of notification on task performance. Copyright © 2014 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Detection and Evaluation of Early Breast Cancer via Magnetic Resonance Imaging: Studies of Mouse Models and Clinical Implementation

DTIC Science & Technology

2008-03-01

CONTRACT NUMBER Detection and Evaluation of Early Breast Cancer via Magnetic Resonance Imaging: Studies of Mouse Models and Clinical Implementation...research proposed here can directly lead to clinical improvements in both early breast cancer detection, as well as effective breast cancer therapy. To date... cancer is a major prognostic factor in the management of the disease. In particular, detecting breast cancer in its pre-invasive form as ductal carcinoma

Estimation and Q-Matrix Validation for Diagnostic Classification Models

ERIC Educational Resources Information Center

Feng, Yuling

2013-01-01

Diagnostic classification models (DCMs) are structured latent class models widely discussed in the field of psychometrics. They model subjects' underlying attribute patterns and classify subjects into unobservable groups based on their mastery of attributes required to answer the items correctly. The effective implementation of DCMs depends…

Critical Success Factor for Implementing Vocational Blended Learning

NASA Astrophysics Data System (ADS)

Dewi, K. C.; Ciptayani, P. I.; Surjono, H. D.; Priyanto

2018-01-01

Blended learning provides many benefits to the flexibility of time, place and situation constraints. The research’s objectives was describing the factors that determine the successful implementation of blended learning in vocational higher education. The research used a qualitative approach, data collected through observations and interviews by questionnare based on the CSFs indicators refers to TAM and Kliger. Data analysis was inductive method. The result provided an illustration that the success of vocational blended learning implementation was largely determined by the selection of instructional models that are inline with learning achievement target. The effectiveness of blended learning required the existence of policy support, readiness of IT infrastructure. Changing lecturer’s culture by utilizing ICT can also encourage the accelerated process of successful implementation. It can concluded that determinant factor of successful implementation of blended learning in vocational education is determined by teacher’s ability in mastering the pedagogical knowledge of designing instructional models.

Contextual factors related to implementation of classroom physical activity breaks.

PubMed

Carlson, Jordan A; Engelberg, Jessa K; Cain, Kelli L; Conway, Terry L; Geremia, Carrie; Bonilla, Edith; Kerner, Jon; Sallis, James F

2017-09-01

Brief structured physical activity in the classroom is effective for increasing student physical activity. The present study investigated the association between implementation-related contextual factors and intervention implementation after adoption of a structured classroom physical activity intervention. Six elementary-school districts adopted structured classroom physical activity programs in 2013-2014. Implementation contextual factors and intervention implementation (structured physical activity provided in past week or month, yes/no) were assessed using surveys of 337 classroom teachers from 24 schools. Mixed-effects models accounted for the nested design. Availability of resources (yes/no, ORs = 1.91-2.93) and implementation climate z-scores (ORs = 1.36-1.47) were consistently associated with implementation. Teacher-perceived classroom behavior benefits (OR = 1.29) but not student enjoyment or health benefits, and time (OR = 2.32) and academic (OR = 1.63) barriers but not student cooperation barriers were associated with implementation (all z-scores). Four implementation contextual factor composites had an additive association with implementation (OR = 1.64 for each additional favorable composite). Training and technical assistance alone may not support a large proportion of teachers to implement structured classroom physical activity. In addition to lack of time and interference with academic lessons, school climate related to whether administrators and other teachers were supportive of the intervention were key factors explaining whether teachers implemented the intervention. Evidence-based implementation strategies are needed for effectively communicating the benefits of classroom physical activity on student behavior and improving teacher and administrator climate/attitudes around classroom physical activity.

High-performance sailboat hydrofoil optimization using vortex lattice methods, and the effects of free-stream turbulence

NASA Astrophysics Data System (ADS)

Meneghello, Gianluca; Beyhaghi, Pooriya; Bewley, Thomas

2016-11-01

The identification of an optimized hydrofoil shape depends on an accurate characterization of both its geometry and the incoming, turbulent, free-stream flow. We analyze this dependence using the computationally inexpensive vortex lattice model implemented in AVL, coupled with the recently developed global, derivative-free optimization algorithm implemented in Δ - DOGS . Particular attention will be given to the effect of the free-stream turbulence level - as modeled by a change in the viscous drag coefficients - on the optimized values of the parameters describing the three dimensional shape of the foil. Because the simplicity of AVL, when contrasted with more complex and computationally expensive LES or RANS models, may cast doubts on its usefulness, its validity and limitations will be discussed by comparison with water tank measurement, and again taking into account the effect of the uncertainty in the free-stream characterization.

Farley-Buneman Instability Effects on the Ionosphere and Thermosphere

NASA Astrophysics Data System (ADS)

Liu, J.; Wang, W.; Oppenheim, M. M.; Dimant, Y. S.; Wiltberger, M. J.; Merkin, V. G.

2016-12-01

We have recently implemented a newmodule that includes both the anomalous electron heating and the electron-neutral cooling rate correction associated with the Farley-Buneman Instability (FBI) in the thermosphere-ionosphere electrodynamics global circulation model (TIEGCM). This implementation provides, for the first time, a modeling capability to describe macroscopic effects of the FBI on the ionosphere and thermosphere in the context of a first-principle, self-consistent model. The added heating sources primarily operate between 100 and 130km altitude, and their magnitudes often exceed auroral precipitation heating in the TIEGCM. The induced changes in E region electron temperature in the auroral oval and polar cap by the FBI are remarkable with a maximum Te approaching 2200 K. This is about 4 times larger than the TIEGCM run without FBI heating. Thermosphere wind and composition changes associated with FBI will also be investigated. This investigation demonstrates how researchers can add the important effects of the FBI to magnetosphere-ionosphere-thermosphere models and simulators.

Why Business Modeling is Crucial in the Development of eHealth Technologies

PubMed Central

van Gemert-Pijnen, Julia EWC; Nijland, Nicol; Ossebaard, Hans C; Hendrix, Ron MG; Seydel, Erwin R

2011-01-01

The impact and uptake of information and communication technologies that support health care are rather low. Current frameworks for eHealth development suffer from a lack of fitting infrastructures, inability to find funding, complications with scalability, and uncertainties regarding effectiveness and sustainability. These issues can be addressed by defining a better implementation strategy early in the development of eHealth technologies. A business model, and thus business modeling, help to determine such an implementation strategy by involving all important stakeholders in a value-driven dialogue on what the technology should accomplish. This idea also seems promising to eHealth, as it can contribute to the whole development of eHealth technology. We therefore suggest that business modeling can be used as an effective approach to supporting holistic development of eHealth technologies. The contribution of business modeling is elaborated in this paper through a literature review that covers the latest business model research, concepts from the latest eHealth and persuasive technology research, evaluation and insights from our prior eHealth research, as well as the review conducted in the first paper of this series. Business modeling focuses on generating a collaborative effort of value cocreation in which all stakeholders reflect on the value needs of the others. The resulting business model acts as the basis for implementation. The development of eHealth technology should focus more on the context by emphasizing what this technology should contribute in practice to the needs of all involved stakeholders. Incorporating the idea of business modeling helps to cocreate and formulate a set of critical success factors that will influence the sustainability and effectiveness of eHealth technology. PMID:22204896

Why business modeling is crucial in the development of eHealth technologies.

PubMed

van Limburg, Maarten; van Gemert-Pijnen, Julia E W C; Nijland, Nicol; Ossebaard, Hans C; Hendrix, Ron M G; Seydel, Erwin R

2011-12-28

The impact and uptake of information and communication technologies that support health care are rather low. Current frameworks for eHealth development suffer from a lack of fitting infrastructures, inability to find funding, complications with scalability, and uncertainties regarding effectiveness and sustainability. These issues can be addressed by defining a better implementation strategy early in the development of eHealth technologies. A business model, and thus business modeling, help to determine such an implementation strategy by involving all important stakeholders in a value-driven dialogue on what the technology should accomplish. This idea also seems promising to eHealth, as it can contribute to the whole development of eHealth technology. We therefore suggest that business modeling can be used as an effective approach to supporting holistic development of eHealth technologies. The contribution of business modeling is elaborated in this paper through a literature review that covers the latest business model research, concepts from the latest eHealth and persuasive technology research, evaluation and insights from our prior eHealth research, as well as the review conducted in the first paper of this series. Business modeling focuses on generating a collaborative effort of value cocreation in which all stakeholders reflect on the value needs of the others. The resulting business model acts as the basis for implementation. The development of eHealth technology should focus more on the context by emphasizing what this technology should contribute in practice to the needs of all involved stakeholders. Incorporating the idea of business modeling helps to cocreate and formulate a set of critical success factors that will influence the sustainability and effectiveness of eHealth technology.

Population stochastic modelling (PSM)--an R package for mixed-effects models based on stochastic differential equations.

PubMed

Klim, Søren; Mortensen, Stig Bousgaard; Kristensen, Niels Rode; Overgaard, Rune Viig; Madsen, Henrik

2009-06-01

The extension from ordinary to stochastic differential equations (SDEs) in pharmacokinetic and pharmacodynamic (PK/PD) modelling is an emerging field and has been motivated in a number of articles [N.R. Kristensen, H. Madsen, S.H. Ingwersen, Using stochastic differential equations for PK/PD model development, J. Pharmacokinet. Pharmacodyn. 32 (February(1)) (2005) 109-141; C.W. Tornøe, R.V. Overgaard, H. Agersø, H.A. Nielsen, H. Madsen, E.N. Jonsson, Stochastic differential equations in NONMEM: implementation, application, and comparison with ordinary differential equations, Pharm. Res. 22 (August(8)) (2005) 1247-1258; R.V. Overgaard, N. Jonsson, C.W. Tornøe, H. Madsen, Non-linear mixed-effects models with stochastic differential equations: implementation of an estimation algorithm, J. Pharmacokinet. Pharmacodyn. 32 (February(1)) (2005) 85-107; U. Picchini, S. Ditlevsen, A. De Gaetano, Maximum likelihood estimation of a time-inhomogeneous stochastic differential model of glucose dynamics, Math. Med. Biol. 25 (June(2)) (2008) 141-155]. PK/PD models are traditionally based ordinary differential equations (ODEs) with an observation link that incorporates noise. This state-space formulation only allows for observation noise and not for system noise. Extending to SDEs allows for a Wiener noise component in the system equations. This additional noise component enables handling of autocorrelated residuals originating from natural variation or systematic model error. Autocorrelated residuals are often partly ignored in PK/PD modelling although violating the hypothesis for many standard statistical tests. This article presents a package for the statistical program R that is able to handle SDEs in a mixed-effects setting. The estimation method implemented is the FOCE(1) approximation to the population likelihood which is generated from the individual likelihoods that are approximated using the Extended Kalman Filter's one-step predictions.

Modeling of enterprise information systems implementation: a preliminary investigation

NASA Astrophysics Data System (ADS)

Yusuf, Yahaya Y.; Abthorpe, M. S.; Gunasekaran, Angappa; Al-Dabass, D.; Onuh, Spencer

2001-10-01

The business enterprise has never been in greater need of Agility and the current trend will continue unabated well into the future. It is now recognized that information system is both the foundation and a necessary condition for increased responsiveness. A successful implementation of Enterprise Resource Planning (ERP) can help a company to move towards delivering on its competitive objectives as it enables suppliers to reach out to customers beyond the borders of traditional market defined by geography. The cost of implementation, even when it is successful, could be significant. Bearing in mind the potential strategic benefits, it is important that the implementation project is managed effectively. To this end a project cost model against which to benchmark ongoing project expenditure versus activities completed has been proposed in this paper.

Moderating Factors of Video-Modeling with Other as Model: A Meta-Analysis of Single-Case Studies

ERIC Educational Resources Information Center

Mason, Rose A.; Ganz, Jennifer B.; Parker, Richard I.; Burke, Mack D.; Camargo, Siglia P.

2012-01-01

Video modeling with other as model (VMO) is a more practical method for implementing video-based modeling techniques, such as video self-modeling, which requires significantly more editing. Despite this, identification of contextual factors such as participant characteristics and targeted outcomes that moderate the effectiveness of VMO has not…

Using simulation modeling to improve patient flow at an outpatient orthopedic clinic.

PubMed

Rohleder, Thomas R; Lewkonia, Peter; Bischak, Diane P; Duffy, Paul; Hendijani, Rosa

2011-06-01

We report on the use of discrete event simulation modeling to support process improvements at an orthopedic outpatient clinic. The clinic was effective in treating patients, but waiting time and congestion in the clinic created patient dissatisfaction and staff morale issues. The modeling helped to identify improvement alternatives including optimized staffing levels, better patient scheduling, and an emphasis on staff arriving promptly. Quantitative results from the modeling provided motivation to implement the improvements. Statistical analysis of data taken before and after the implementation indicate that waiting time measures were significantly improved and overall patient time in the clinic was reduced.

Constraint-Based Abstract Semantics for Temporal Logic: A Direct Approach to Design and Implementation

NASA Astrophysics Data System (ADS)

Banda, Gourinath; Gallagher, John P.

interpretation provides a practical approach to verifying properties of infinite-state systems. We apply the framework of abstract interpretation to derive an abstract semantic function for the modal μ-calculus, which is the basis for abstract model checking. The abstract semantic function is constructed directly from the standard concrete semantics together with a Galois connection between the concrete state-space and an abstract domain. There is no need for mixed or modal transition systems to abstract arbitrary temporal properties, as in previous work in the area of abstract model checking. Using the modal μ-calculus to implement CTL, the abstract semantics gives an over-approximation of the set of states in which an arbitrary CTL formula holds. Then we show that this leads directly to an effective implementation of an abstract model checking algorithm for CTL using abstract domains based on linear constraints. The implementation of the abstract semantic function makes use of an SMT solver. We describe an implemented system for proving properties of linear hybrid automata and give some experimental results.

Using a Theory-guided Learning Collaborative Model to Improve Implementation of EBPs in a State Children’s Mental Health System: A Pilot Study

PubMed Central

Nadeem, Erum; Weiss, Dara; Olin, S. Serene; Hoagwood, Kimberly E.; Horwitz, Sarah M.

2016-01-01

Learning collaboratives (LCs) are used widely to promote implementation of evidence-based practices (EBPs). However, there has been limited research on the effectiveness of LCs and models vary widely in their structure, focus and components. The goal of the present study was to develop and field test a theory-based LC model to augment a state-led, evidence-based training program for clinicians providing mental health services to children. Analysis of implementation outcomes contrasted LC sites to matched comparison sites that participated in the clinical training program alone. Results suggested that clinicians from sites participating in the LC were more highly engaged in the state-led clinical training program and were more likely to complete program requirements. PMID:27167744

Using a Theory-Guided Learning Collaborative Model to Improve Implementation of EBPs in a State Children's Mental Health System: A Pilot Study.

PubMed

Nadeem, Erum; Weiss, Dara; Olin, S Serene; Hoagwood, Kimberly E; Horwitz, Sarah M

2016-11-01

Learning collaboratives (LCs) are used widely to promote implementation of evidence-based practices. However, there has been limited research on the effectiveness of LCs and models vary widely in their structure, focus and components. The goal of the present study was to develop and field test a theory-based LC model to augment a state-led, evidence-based training program for clinicians providing mental health services to children. Analysis of implementation outcomes contrasted LC sites to matched comparison sites that participated in the clinical training program alone. Results suggested that clinicians from sites participating in the LC were more highly engaged in the state-led clinical training program and were more likely to complete program requirements.

Learning Organization and Innovative Behavior: The Mediating Effect of Work Engagement

ERIC Educational Resources Information Center

Park, Yu Kyoung; Song, Ji Hoon; Yoon, Seung Won; Kim, Jungwoo

2014-01-01

Purpose: The purpose of this study is to investigate the mediating effect of work engagement on the relationship between learning organization and innovative behavior. Design/methodology/approach: This study used surveys as a data collection tool and implemented structural equation modeling for empirically testing the proposed research model.…

Implementation of the Early Start Denver Model in an Italian Community

ERIC Educational Resources Information Center

Colombi, Costanza; Narzisi, Antonio; Ruta, Liliana; Cigala, Virginia; Gagliano, Antonella; Pioggia, Giovanni; Siracusano, Rosamaria; Rogers, Sally J.; Muratori, Filippo

2018-01-01

Identifying effective, community-based specialized interventions for young children with autism spectrum disorder is an international clinical and research priority. We evaluated the effectiveness of the Early Start Denver Model intervention in a group of young children with autism spectrum disorder living in an Italian community compared to a…

Modeling antecedents of electronic medical record system implementation success in low-resource setting hospitals.

PubMed

Tilahun, Binyam; Fritz, Fleur

2015-08-01

With the increasing implementation of Electronic Medical Record Systems (EMR) in developing countries, there is a growing need to identify antecedents of EMR success to measure and predict the level of adoption before costly implementation. However, less evidence is available about EMR success in the context of low-resource setting implementations. Therefore, this study aims to fill this gap by examining the constructs and relationships of the widely used DeLone and MacLean (D&M) information system success model to determine whether it can be applied to measure EMR success in those settings. A quantitative cross sectional study design using self-administered questionnaires was used to collect data from 384 health professionals working in five governmental hospitals in Ethiopia. The hospitals use a comprehensive EMR system since three years. Descriptive and structural equation modeling methods were applied to describe and validate the extent of relationship of constructs and mediating effects. The findings of the structural equation modeling shows that system quality has significant influence on EMR use (β = 0.32, P < 0.05) and user satisfaction (β = 0.53, P < 0.01); information quality has significant influence on EMR use (β = 0.44, P < 0.05) and user satisfaction (β = 0.48, P < 0.01) and service quality has strong significant influence on EMR use (β = 0.36, P < 0.05) and user satisfaction (β = 0.56, P < 0.01). User satisfaction has significant influence on EMR use (β = 0.41, P < 0.05) but the effect of EMR use on user satisfaction was not significant. Both EMR use and user satisfaction have significant influence on perceived net-benefit (β = 0.31, P < 0.01; β = 0.60, P < 0.01), respectively. Additionally, computer literacy was found to be a mediating factor in the relationship between service quality and EMR use (P < 0.05) as well as user satisfaction (P < 0.01). Among all the constructs, user satisfaction showed the strongest effect on perceived net-benefit of health professionals. EMR implementers and managers in developing countries are in urgent need of implementation models to design proper implementation strategies. In this study, the constructs and relationships depicted in the updated D&M model were found to be applicable to assess the success of EMR in low resource settings. Additionally, computer literacy was found to be a mediating factor in EMR use and user satisfaction of health professionals. Hence, EMR implementers and managers in those settings should give priority in improving service quality of the hospitals like technical support and infrastructure; providing continuous basic computer trainings to health professionals; and give attention to the system and information quality of the systems they want to implement.

A dynamic organic soil biogeochemical model for simulating the effects of wildfire on soil environmental conditions and carbon dynamics of black spruce forests

Treesearch

Shuhua Yi; A. David McGuire; Eric Kasischke; Jennifer Harden; Kristen Manies; Michelle Mack; Merritt Turetsky

2010-01-01

Ecosystem models have not comprehensively considered how interactions among fire disturbance, soil environmental conditions, and biogeochemical processes affect ecosystem dynamics in boreal forest ecosystems. In this study, we implemented a dynamic organic soil structure in the Terrestrial Ecosystem Model (DOS-TEM) to investigate the effects of fire on soil temperature...

An Integrated Interdisciplinary Model for Accelerating Student Achievement in Science and Reading Comprehension across Grades 3-8: Implications for Research and Practice

ERIC Educational Resources Information Center

Romance, Nancy R.; Vitale, Michael R.

2011-01-01

The purpose of this cross-sectional study was to investigate the effects of a multi-year implementation of the Science IDEAS model on (a) the Iowa Tests of Basic Skills (ITBS) achievement growth in Reading Comprehension and Science of grade 3-5 students receiving the model, and (b) the transfer effects of the model as measured by ITBS Reading…

The Effect of a Computer Program Based on Analysis, Design, Development, Implementation and Evaluation (ADDIE) in Improving Ninth Graders' Listening and Reading Comprehension Skills in English in Jordan

ERIC Educational Resources Information Center

Alodwan, Talal; Almosa, Mosaab

2018-01-01

The study aimed to assess the effectiveness of a computer program based on Analysis, Design, Development, Implementation and Evaluation (ADDIE) Model on the achievement of Ninth Graders' listening and Reading Comprehension Skills in English. The study sample comprised 70 ninth graders during the second semester of the academic year 2016/2017. The…

A Training Intervention for Supervisors to Support a Work-Life Policy Implementation

PubMed Central

Laharnar, Naima; Glass, Nancy; Perrin, Nancy; Hanson, Ginger; Kent Anger, W.

2013-01-01

Background Effective policy implementation is essential for a healthy workplace. The Ryan-Kossek 2008 model for work-life policy adoption suggests that supervisors as gatekeepers between employer and employee need to know how to support and communicate benefit regulations. This article describes a workplace intervention on a national employee benefit, Family and Medical Leave Act (FMLA), and evaluates the effectiveness of the intervention on supervisor knowledge, awareness, and experience with FMLA. Methods The intervention consisted of computer-based training (CBT) and a survey measuring awareness and experience with FMLA. The training was administered to 793 county government supervisors in the state of Oregon, USA. Results More than 35% of supervisors reported no previous training on FMLA and the training pre-test revealed a lack of knowledge regarding benefit coverage and employer responsibilities. The CBT achieved: (1) a significant learning effect and large effect size of d = 2.0, (2) a positive reaction to the training and its design, and (3) evidence of increased knowledge and awareness regarding FMLA. Conclusion CBT is an effective strategy to increase supervisors' knowledge and awareness to support policy implementation. The lack of supervisor training and knowledge of an important but complex employee benefit exposes a serious impediment to effective policy implementation and may lead to negative outcomes for the organization and the employee, supporting the Ryan-Kossek model. The results further demonstrate that long-time employees need supplementary training on complex workplace policies such as FMLA. PMID:24106648

Using a Mixed-Methods RE-AIM Framework to Evaluate Community Health Programs for Older Latinas.

PubMed

Schwingel, Andiara; Gálvez, Patricia; Linares, Deborah; Sebastião, Emerson

2017-06-01

This study used the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework to evaluate a promotora-led community health program designed for Latinas ages 50 and older that sought to improve physical activity, nutrition, and stress management. A mixed-methods evaluation approach was administered at participant and organizational levels with a focus on the efficacy, adoption, implementation, and maintenance components of the RE-AIM theoretical model. The program was shown to be effective at improving participants' eating behaviors, increasing their physical activity levels, and lowering their depressive symptoms. Promotoras felt motivated and sufficiently prepared to deliver the program. Some implementation challenges were reported. More child care opportunities and an increased focus on mental well-being were suggested. The promotora delivery model has promise for program sustainability with both promotoras and participants alike expressing interest in leading future programs.

Examining the role of implementation quality in school-based prevention using the PATHS curriculum. Promoting Alternative THinking Skills Curriculum.

PubMed

Kam, Chi-Ming; Greenberg, Mark T; Walls, Carla T

2003-03-01

In order for empirically validated school-based prevention programs to "go to scale," it is important to understand the processes underlying program dissemination. Data collected in effectiveness trials, especially those measuring the quality of program implementation and administrative support, are valuable in explicating important factors influencing implementation. This study describes findings regarding quality of implementation in a recent effectiveness trial conducted in a high-risk, American urban community. This delinquency prevention trial is a locally owned intervention, which used the Promoting Alternative THinking Skills Curriculum as its major program component. The intervention involved 350 first graders in 6 inner-city public schools. Three schools implemented the intervention and the other 3 were comparison schools from the same school district. Although intervention effects were not found for all the intervention schools, the intervention was effective in improving children's emotional competence and reducing their aggression in schools which effectively supported the intervention. This study, utilizing data from the 3 intervention schools (13 classrooms and 164 students), suggested that 2 factors contributed to the success of the intervention: (a) adequate support from school principals and (b) high degree of classroom implementation by teachers. These findings are discussed in light of the theory-driven models in program evaluation that emphasized the importance of the multiple factors influencing the implementation of school-based interventions.

Practical examples of modeling choices and their consequences for risk assessment

EPA Science Inventory

Although benchmark dose (BMD) modeling has become the preferred approach to identifying a point of departure (POD) over the No Observed Adverse Effect Level, there remain challenges to its application in human health risk assessment. BMD modeling, as currently implemented by the...

A Hyperbolic Ontology Visualization Tool for Model Application Programming Interface Documentation

NASA Technical Reports Server (NTRS)

Hyman, Cody

2011-01-01

Spacecraft modeling, a critically important portion in validating planned spacecraft activities, is currently carried out using a time consuming method of mission to mission model implementations and integration. A current project in early development, Integrated Spacecraft Analysis (ISCA), aims to remedy this hindrance by providing reusable architectures and reducing time spent integrating models with planning and sequencing tools. The principle objective of this internship was to develop a user interface for an experimental ontology-based structure visualization of navigation and attitude control system modeling software. To satisfy this, a number of tree and graph visualization tools were researched and a Java based hyperbolic graph viewer was selected for experimental adaptation. Early results show promise in the ability to organize and display large amounts of spacecraft model documentation efficiently and effectively through a web browser. This viewer serves as a conceptual implementation for future development but trials with both ISCA developers and end users should be performed to truly evaluate the effectiveness of continued development of such visualizations.

Cavitation Modeling in Euler and Navier-Stokes Codes

NASA Technical Reports Server (NTRS)

Deshpande, Manish; Feng, Jinzhang; Merkle, Charles L.

1993-01-01

Many previous researchers have modeled sheet cavitation by means of a constant pressure solution in the cavity region coupled with a velocity potential formulation for the outer flow. The present paper discusses the issues involved in extending these cavitation models to Euler or Navier-Stokes codes. The approach taken is to start from a velocity potential model to ensure our results are compatible with those of previous researchers and available experimental data, and then to implement this model in both Euler and Navier-Stokes codes. The model is then augmented in the Navier-Stokes code by the inclusion of the energy equation which allows the effect of subcooling in the vicinity of the cavity interface to be modeled to take into account the experimentally observed reduction in cavity pressures that occurs in cryogenic fluids such as liquid hydrogen. Although our goal is to assess the practicality of implementing these cavitation models in existing three-dimensional, turbomachinery codes, the emphasis in the present paper will center on two-dimensional computations, most specifically isolated airfoils and cascades. Comparisons between velocity potential, Euler and Navier-Stokes implementations indicate they all produce consistent predictions. Comparisons with experimental results also indicate that the predictions are qualitatively correct and give a reasonable first estimate of sheet cavitation effects in both cryogenic and non-cryogenic fluids. The impact on CPU time and the code modifications required suggests that these models are appropriate for incorporation in current generation turbomachinery codes.

The role of public policies in reducing smoking prevalence: results from the Michigan SimSmoke tobacco policy simulation model.

PubMed

Levy, David T; Huang, An-Tsun; Havumaki, Joshua S; Meza, Rafael

2016-05-01

Michigan has implemented several of the tobacco control policies recommended by the World Health Organization MPOWER goals. We consider the effect of those policies and additional policies consistent with MPOWER goals on smoking prevalence and smoking-attributable deaths (SADs). The SimSmoke tobacco control policy simulation model is used to examine the effect of past policies and a set of additional policies to meet the MPOWER goals. The model is adapted to Michigan using state population, smoking, and policy data starting in 1993. SADs are estimated using standard attribution methods. Upon validating the model, SimSmoke is used to distinguish the effect of policies implemented since 1993 against a counterfactual with policies kept at their 1993 levels. The model is then used to project the effect of implementing stronger policies beginning in 2014. SimSmoke predicts smoking prevalence accurately between 1993 and 2010. Since 1993, a relative reduction in smoking rates of 22 % by 2013 and of 30 % by 2054 can be attributed to tobacco control policies. Of the 22 % reduction, 44 % is due to taxes, 28 % to smoke-free air laws, 26 % to cessation treatment policies, and 2 % to youth access. Moreover, 234,000 SADs are projected to be averted by 2054. With additional policies consistent with MPOWER goals, the model projects that, by 2054, smoking prevalence can be further reduced by 17 % with 80,000 deaths averted relative to the absence of those policies. Michigan SimSmoke shows that tobacco control policies, including cigarette taxes, smoke-free air laws, and cessation treatment policies, have substantially reduced smoking and SADs. Higher taxes, strong mass media campaigns, and cessation treatment policies would further reduce smoking prevalence and SADs.

The Role of Public Policies in Reducing Smoking Prevalence: Results from the Michigan SimSmoke Tobacco Policy Simulation Model

PubMed Central

Levy, David T.; Huang, An-Tsun; Havumaki, Joshua S.; Meza, Rafael

2016-01-01

Introduction Michigan has implemented several of the tobacco control policies recommended by the World Health Organization MPOWER goals. We consider the effect of those policies and additional policies consistent with MPOWER goals on smoking prevalence and smoking-attributable deaths (SADs). Methods The SimSmoke tobacco control policy simulation model is used to examine the effect of past policies and a set of additional policies to meet the MPOWER goals. The model is adapted to Michigan using state population, smoking and policy data starting in 1993. SADs are estimated using standard attribution methods. Upon validating the model, SimSmoke is used to distinguish the effect of policies implemented since 1993 against a counterfactual with policies kept at their 1993 levels. The model is then used to project the effect of implementing stronger policies beginning in 2014. Results SimSmoke predicts smoking prevalence accurately between 1993 and 2010. Since 1993, a relative reduction in smoking rates of 22% by 2013 and of 30% by 2054 can be attributed to tobacco control policies. Of the 22% reduction, 44% is due to taxes, 28% to smoke-free air laws, 26% to cessation treatment policies, and 2% to youth access. Moreover, 234,000 smoking-attributable deaths are projected to be averted by 2054. With additional policies consistent with MPOWER goals, the model projects that, by 2054, smoking prevalence can be further reduced by 17% with 80,000 deaths averted relative to the absence of those policies. Conclusions Michigan SimSmoke shows that tobacco control policies, including cigarette taxes, smoke-free air laws and cessation treatment policies, have substantially reduced smoking and smoking-attributable deaths. Higher taxes, strong mass media campaigns and cessation treatment policies would further reduce smoking prevalence and smoking-attributable deaths. PMID:26983616

Aeroelastic simulation of higher harmonic control

NASA Technical Reports Server (NTRS)

Robinson, Lawson H.; Friedmann, Peretz P.

1994-01-01

This report describes the development of an aeroelastic analysis of a helicopter rotor and its application to the simulation of helicopter vibration reduction through higher harmonic control (HHC). An improved finite-state, time-domain model of unsteady aerodynamics is developed to capture high frequency aerodynamic effects. An improved trim procedure is implemented which accounts for flap, lead-lag, and torsional deformations of the blade. The effect of unsteady aerodynamics is studied and it is found that its impact on blade aeroelastic stability and low frequency response is small, but it has a significant influence on rotor hub vibrations. Several different HHC algorithms are implemented on a hingeless rotor and their effectiveness in reducing hub vibratory shears is compared. All the controllers are found to be quite effective, but very differing HHC inputs are required depending on the aerodynamic model used. Effects of HHC on rotor stability and power requirements are found to be quite small. Simulations of roughly equivalent articulated and hingeless rotors are carried out, and it is found that hingeless rotors can require considerably larger HHC inputs to reduce vibratory shears. This implies that the practical implementation of HHC on hingeless rotors might be considerably more difficult than on articulated rotors.

Effectiveness of chronic care models: opportunities for improving healthcare practice and health outcomes: a systematic review.

PubMed

Davy, Carol; Bleasel, Jonathan; Liu, Hueiming; Tchan, Maria; Ponniah, Sharon; Brown, Alex

2015-05-10

The increasing prevalence of chronic disease and even multiple chronic diseases faced by both developed and developing countries is of considerable concern. Many of the interventions to address this within primary healthcare settings are based on a chronic care model first developed by MacColl Institute for Healthcare Innovation at Group Health Cooperative. This systematic literature review aimed to identify and synthesise international evidence on the effectiveness of elements that have been included in a chronic care model for improving healthcare practices and health outcomes within primary healthcare settings. The review broadens the work of other similar reviews by focusing on effectiveness of healthcare practice as well as health outcomes associated with implementing a chronic care model. In addition, relevant case series and case studies were also included. Of the 77 papers which met the inclusion criteria, all but two reported improvements to healthcare practice or health outcomes for people living with chronic disease. While the most commonly used elements of a chronic care model were self-management support and delivery system design, there were considerable variations between studies regarding what combination of elements were included as well as the way in which chronic care model elements were implemented. This meant that it was impossible to clearly identify any optimal combination of chronic care model elements that led to the reported improvements. While the main argument for excluding papers reporting case studies and case series in systematic literature reviews is that they are not of sufficient quality or generalizability, we found that they provided a more detailed account of how various chronic care models were developed and implemented. In particular, these papers suggested that several factors including supporting reflective healthcare practice, sending clear messages about the importance of chronic disease care and ensuring that leaders support the implementation and sustainability of interventions may have been just as important as a chronic care model's elements in contributing to the improvements in healthcare practice or health outcomes for people living with chronic disease.

Derivation of effective fission gas diffusivities in UO2 from lower length scale simulations and implementation of fission gas diffusion models in BISON

DOE Office of Scientific and Technical Information (OSTI.GOV)

Andersson, Anders David Ragnar; Pastore, Giovanni; Liu, Xiang-Yang

2014-11-07

This report summarizes the development of new fission gas diffusion models from lower length scale simulations and assessment of these models in terms of annealing experiments and fission gas release simulations using the BISON fuel performance code. Based on the mechanisms established from density functional theory (DFT) and empirical potential calculations, continuum models for diffusion of xenon (Xe) in UO 2 were derived for both intrinsic conditions and under irradiation. The importance of the large X eU3O cluster (a Xe atom in a uranium + oxygen vacancy trap site with two bound uranium vacancies) is emphasized, which is a consequencemore » of its high mobility and stability. These models were implemented in the MARMOT phase field code, which is used to calculate effective Xe diffusivities for various irradiation conditions. The effective diffusivities were used in BISON to calculate fission gas release for a number of test cases. The results are assessed against experimental data and future directions for research are outlined based on the conclusions.« less

Opportunities to meet challenges in rural prevention research: findings from an evolving community-university partnership model.

PubMed

Spoth, Richard

2007-01-01

Various rural prevention research challenges have been articulated through a series of sessions convened since the mid 1990s by the National Institutes of Health, particularly the National Institute on Drug Abuse. Salient in this articulation was the need for effective collaboration among rural practitioners and scientists, with special consideration of accommodating the diversity of rural areas and surmounting barriers to implementation of evidence-based interventions. This paper summarizes the range of challenges in rural prevention research and describes an evolving community-university partnership model addressing them. The model entails involvement of public school staff and other rural community stakeholders, linked with scientists by Land Grant University-based Extension system staff. Examples of findings from over 16 years of partnership-based intervention research projects include those on engagement of rural residents, quality implementation of evidence-based interventions, and long-term community-level outcomes, as well as factors in effectiveness of the partnerships. Findings suggest a future focus on building capacity for practitioner-scientist collaboration and developing a network for more widespread implementation of the partnership model in a manner informed by lessons learned from partnership-based research to date.

Where Next for Marine Cloud Brightening Research?

NASA Astrophysics Data System (ADS)

Jenkins, A. K. L.; Forster, P.

2014-12-01

Realistic estimates of geoengineering effectiveness will be central to informed decision-making on its possible role in addressing climate change. Over the last decade, global-scale computer climate modelling of geoengineering has been developing. While these developments have allowed quantitative estimates of geoengineering effectiveness to be produced, the relative coarseness of the grid of these models (tens of kilometres) means that key practical details of the proposed geoengineering is not always realistically captured. This is particularly true for marine cloud brightening (MCB), where both the clouds, as well as the tens-of-meters scale sea-going implementation vessels cannot be captured in detail. Previous research using cloud resolving modelling has shown that neglecting such details may lead to MCB effectiveness being overestimated by up to half. Realism of MCB effectiveness will likely improve from ongoing developments in the understanding and modelling of clouds. We also propose that realism can be increased via more specific improvements (see figure). A readily achievable example would be the reframing of previous MCB effectiveness estimates in light of the cloud resolving scale findings. Incorporation of implementation details could also be made - via parameterisation - into future global-scale modelling of MCB. However, as significant unknowns regarding the design of the MCB aerosol production technique remain, resource-intensive cloud resolving computer modelling of MCB may be premature unless of broader benefit to the wider understanding of clouds. One of the most essential recommendations is for enhanced communication between climate scientists and MCB designers. This would facilitate the identification of potentially important design aspects necessary for realistic computer simulations. Such relationships could be mutually beneficial, with computer modelling potentially informing more efficient designs of the MCB implementation technique. (Acknowledgment) This work is part of the Integrated Assessment of Geoengineering Proposals (IAGP) project, funded by the Engineering and Physical Sciences Research Council and the Natural Environment Research Council (EP/I014721/1).

Linking molar organizational climate and strategic implementation climate to clinicians' use of evidence-based psychotherapy techniques: cross-sectional and lagged analyses from a 2-year observational study.

PubMed

Williams, Nathaniel J; Ehrhart, Mark G; Aarons, Gregory A; Marcus, Steven C; Beidas, Rinad S

2018-06-25

Behavioral health organizations are characterized by multiple organizational climates, including molar climate, which encompasses clinicians' shared perceptions of how the work environment impacts their personal well-being, and strategic implementation climate, which includes clinicians' shared perceptions of the extent to which evidence-based practice implementation is expected, supported, and rewarded by the organization. Theory suggests these climates have joint, cross-level effects on clinicians' implementation of evidence-based practice and that these effects may be long term (i.e., up to 2 years); however, no empirical studies have tested these relationships. We hypothesize that molar climate moderates implementation climate's concurrent and long-term relationships with clinicians' use of evidence-based practice such that strategic implementation climate will have its most positive effects when it is accompanied by a positive molar climate. Hypotheses were tested using data collected from 235 clinicians in 20 behavioral health organizations. At baseline, clinicians reported on molar climate and implementation climate. At baseline and at a 2-year follow-up, all clinicians who were present in the organizations reported on their use of cognitive-behavioral psychotherapy techniques, an evidence-based practice for youth psychiatric disorders. Two-level mixed-effects regression models tested whether baseline molar climate and implementation climate interacted in predicting clinicians' evidence-based practice use at baseline and at 2-year follow-up. In organizations with more positive molar climates at baseline, higher levels of implementation climate predicted increased evidence-based practice use among clinicians who were present at baseline and among clinicians who were present in the organizations at 2-year follow-up; however, in organizations with less positive molar climates, implementation climate was not related to clinicians' use of evidence-based practice at either time point. Optimizing clinicians' implementation of evidence-based practice in behavioral health requires attention to both molar climate and strategic implementation climate. Strategies that focus exclusively on implementation climate may not be effective levers for behavior change if the organization does not also engender a positive molar climate. These findings have implications for the development of implementation theory and effective implementation strategies.

Effects of self-attraction and loading at a regional scale: a test case for the Northwest European Shelf

NASA Astrophysics Data System (ADS)

Irazoqui Apecechea, Maialen; Verlaan, Martin; Zijl, Firmijn; Le Coz, Camille; Kernkamp, Herman

2017-06-01

The impact of the self-attraction and loading effect (SAL) in a regional 2D barotropic tidal model has been assessed, a term with acknowledged and well-understood importance for global models but omitted for boundary-forced, regional models, for which the implementation of SAL is non-trivial due to its non-local nature. In order to understand the impact of the lack of SAL effects in a regional scale, we have forced a regional model of the Northwest European Continental Shelf and the North Sea (continental shelf model (CSM)) with the SAL potential field derived from a global model (GTSM), in the form of a pressure field. Impacts have been studied in an uncalibrated setup and with only tidal forcing activated, in order to isolate effects. Additionally, the usually adopted simple SAL parameterization, in which the SAL contribution to the total tide is parameterized as a percentage of the barotropic pressure gradient (typically chosen 10%), is also implemented and compared to the results obtained with a full SAL computation. A significant impact on M2 representation is observed in the English Channel, Irish Sea and the west (UK East coast) and south (Belgian and Dutch Coast) of the North Sea, with an impact of up to 20 cm in vector difference terms. The impact of SAL translates into a consistent M2 amplitude and propagation speeds reduction throughout the domain. Results using the beta approximation, with an optimal domain-wide constant value of 1.5%, show a somewhat comparable impact in phase but opposite direction of the impact in amplitude, increasing amplitudes everywhere. In relative terms, both implementations lead to a reduction of the tidal representation error in comparison with the reference run without SAL, with the full SAL approach showing further impacted, improved results. Although the overprediction of tidal amplitudes and propagation speeds in the reference run might have additional sources like the lack of additional dissipative processes and non-considered bottom friction settings, results show an overall significant impact, most remarkable in tidal phases. After showing evidence of the SAL impact in regional models, the question of how to include this physical process in them in an efficient way arises, since SAL is a non-local effect and depends on the instantaneous water levels over the whole ocean, which is non-trivial to implement.

Workplace Lactation Programs in Small WIC Service Sites: A Potential Model.

PubMed

Angeletti, Michelle A; Llossas, Jose R

2018-03-01

The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) has an opportunity to protect, promote, and support breastfeeding by implementing and modeling workplace lactation programs in small WIC agencies that may have barriers regarding the lack of both human and financial resources. The goal of this article was to describe effective strategies for agency administrators in small WIC service sites so that they can reduce barriers, successfully implement workplace lactation policies and programs, and model successful strategies for other small employers. Copyright © 2017 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

Biomechanical modeling and load-carrying simulation of lower limb exoskeleton.

PubMed

Zhu, Yanhe; Zhang, Guoan; Zhang, Chao; Liu, Gangfeng; Zhao, Jie

2015-01-01

This paper introduces novel modern equipment-a lower extremity exoskeleton, which can implement the mutual complement and the interaction between human intelligence and the robot's mechanical strength. In order to provide a reference for the exoskeleton structure and the drive unit, the human biomechanics were modeled and analyzed by LifeModeler and Adams software to derive each joint kinematic parameter. The control was designed to implement the zero-force interaction between human and exoskeleton. Furthermore, simulations were performed to verify the control and assist effect. In conclusion, the system scheme of lower extremity exoskeleton is demonstrated to be feasible.

Northeast Artificial Intelligence Consortium (NAIC). Volume 15. Strategies for Coupling Symbolic and Numerical Computation in Knowledge Base Systems

DTIC Science & Technology

1990-12-01

Implementation of Coupled System 18 15.4. CASE STUDIES & IMPLEMENTATION EXAMPLES 24 15.4.1. The Case Studies of Coupled System 24 15.4.2. Example: Coupled System...occurs during specific phases of the problem-solving process. By decomposing the coupling process into its component layers we effectively study the nature...by the qualitative model, appropriate mathematical model is invoked. 5) The results are verified. If successful, stop. Else go to (2) and use an

The Importance of Model Structure in the Cost-Effectiveness Analysis of Primary Care Interventions for the Management of Hypertension.

PubMed

Peñaloza-Ramos, Maria Cristina; Jowett, Sue; Sutton, Andrew John; McManus, Richard J; Barton, Pelham

2018-03-01

Management of hypertension can lead to significant reductions in blood pressure, thereby reducing the risk of cardiovascular disease. Modeling the course of cardiovascular disease is not without complications, and uncertainty surrounding the structure of a model will almost always arise once a choice of a model structure is defined. To provide a practical illustration of the impact on the results of cost-effectiveness of changing or adapting model structures in a previously published cost-utility analysis of a primary care intervention for the management of hypertension Targets and Self-Management for the Control of Blood Pressure in Stroke and at Risk Groups (TASMIN-SR). The case study assessed the structural uncertainty arising from model structure and from the exclusion of secondary events. Four alternative model structures were implemented. Long-term cost-effectiveness was estimated and the results compared with those from the TASMIN-SR model. The main cost-effectiveness results obtained in the TASMIN-SR study did not change with the implementation of alternative model structures. Choice of model type was limited to a cohort Markov model, and because of the lack of epidemiological data, only model 4 captured structural uncertainty arising from the exclusion of secondary events in the case study model. The results of this study indicate that the main conclusions drawn from the TASMIN-SR model of cost-effectiveness were robust to changes in model structure and the inclusion of secondary events. Even though one of the models produced results that were different to those of TASMIN-SR, the fact that the main conclusions were identical suggests that a more parsimonious model may have sufficed. Copyright © 2018 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Effects of implementing electronic medical records on primary care billings and payments: a before-after study.

PubMed

Jaakkimainen, R Liisa; Shultz, Susan E; Tu, Karen

2013-09-01

Several barriers to the adoption of electronic medical records (EMRs) by family physicians have been discussed, including the costs of implementation, impact on work flow and loss of productivity. We examined billings and payments received before and after implementation of EMRs among primary care physicians in the province of Ontario. We also examined billings and payments before and after switching from a fee-for-service to a capitation payment model, because EMR implementation coincided with primary care reform in the province. We used information from the Electronic Medical Record Administrative Data Linked Database (EMRALD) to conduct a retrospective before-after study. The EMRALD database includes EMR data extracted from 183 community-based family physicians in Ontario. We included EMRALD physicians who were eligible to bill the Ontario Health Insurance Plan at least 18 months before and after the date they started using EMRs and had completed a full 18-month period before Mar. 31, 2011, when the study stopped. The main outcome measures were physicians' monthly billings and payments for office visits and total annual payments received from all government sources. Two index dates were examined: the date physicians started using EMRs and were in a stable payment model (n = 64) and the date physicians switched from a fee-for-service to a capitation payment model (n = 42). Monthly billings and payments for office visits did not decrease after the implementation of EMRs. The overall weighted mean annual payment from all government sources increased by 27.7% after the start of EMRs among EMRALD physicians; an increase was also observed among all other primary care physicians in Ontario, but it was not as great (14.4%). There was a decline in monthly billings and payments for office visits after physicians changed payment models, but an increase in their overall annual government payments. Implementation of EMRs by primary care physicians did not result in decreased billings or government payments for office visits. Further economic analyses are needed to measure the effects of EMR implementation on productivity and the costs of implementing an EMR system, including the costs of nonclinical work by physicians and their staff.

Implementation of new pavement performance prediction models in PMIS : report

DOT National Transportation Integrated Search

2012-08-01

Pavement performance prediction models and maintenance and rehabilitation (M&R) optimization processes : enable managers and engineers to plan and prioritize pavement M&R activities in a cost-effective manner. : This report describes TxDOTs effort...

A financing model to solve financial barriers for implementing green building projects.

PubMed

Lee, Sanghyo; Lee, Baekrae; Kim, Juhyung; Kim, Jaejun

2013-01-01

Along with the growing interest in greenhouse gas reduction, the effect of greenhouse gas energy reduction from implementing green buildings is gaining attention. The government of the Republic of Korea has set green growth as its paradigm for national development, and there is a growing interest in energy saving for green buildings. However, green buildings may have financial barriers that have high initial construction costs and uncertainties about future project value. Under the circumstances, governmental support to attract private funding is necessary to implement green building projects. The objective of this study is to suggest a financing model for facilitating green building projects with a governmental guarantee based on Certified Emission Reduction (CER). In this model, the government provides a guarantee for the increased costs of a green building project in return for CER. And this study presents the validation of the model as well as feasibility for implementing green building project. In addition, the suggested model assumed governmental guarantees for the increased cost, but private guarantees seem to be feasible as well because of the promising value of the guarantee from CER. To do this, certification of Clean Development Mechanisms (CDMs) for green buildings must be obtained.

A Financing Model to Solve Financial Barriers for Implementing Green Building Projects

PubMed Central

Lee, Baekrae; Kim, Juhyung; Kim, Jaejun

2013-01-01

Along with the growing interest in greenhouse gas reduction, the effect of greenhouse gas energy reduction from implementing green buildings is gaining attention. The government of the Republic of Korea has set green growth as its paradigm for national development, and there is a growing interest in energy saving for green buildings. However, green buildings may have financial barriers that have high initial construction costs and uncertainties about future project value. Under the circumstances, governmental support to attract private funding is necessary to implement green building projects. The objective of this study is to suggest a financing model for facilitating green building projects with a governmental guarantee based on Certified Emission Reduction (CER). In this model, the government provides a guarantee for the increased costs of a green building project in return for CER. And this study presents the validation of the model as well as feasibility for implementing green building project. In addition, the suggested model assumed governmental guarantees for the increased cost, but private guarantees seem to be feasible as well because of the promising value of the guarantee from CER. To do this, certification of Clean Development Mechanisms (CDMs) for green buildings must be obtained. PMID:24376379

Application of the kappa-omega Turbulence Model to Quasi-Three-Dimensional Turbomachinery Flows

NASA Technical Reports Server (NTRS)

Chima, Rodrick V.

1996-01-01

Many computational fluid dynamics codes for turbomachinery use the Baldwin-Lomax (B-L) turbulence model. It is easy to implement in two dimensions and works well for predicting overall turbomachinery performance. However, it is awkward to implement in three dimensions, often has difficulty finding the length scale, has a crude transition model, and neglects freestream turbulence, surface roughness, and mass injection. The kappa-omega model developed by Wilcox is an appealing alternative for several reasons. First, it is the only two-equation model that can be integrated to the wall without requiring damping functions or the distance to the wall, and hence, should behave well numerically. Second, the effects of freestream turbulence, surface roughness, and mass injection are easily included in the model. Finally, transition can be simulated using the low Reynolds number version of the model. Menter applied the kappa-model to external flows and showed very good results for flows with adverse pressure gradients. Liu and Zheng described their implementation of the kappa-model in a cascade code that included an area change term to account for endwall convergence. They validated the model for a flat plate, and compared the B-L and kappa-models to measured surface pressures for a low-pressure turbine cascade. Since they did not use the low Reynolds number version of the model, their results showed problems resulting from early transition. In this Note the low Reynolds number kappa-model was incorporated in the author's quasi-three-dimensional turbomachinery analysis code. The code includes the effects of rotation, radius change, and stream-surface thickness variation, and also includes the B-L turbulence model. The kappa-omega model was implemented using many of Menter's recommendations and an implicit approximate-factorization scheme described by Baldwin and Barth. The model was tested for a transonic compressor with rotation and variable stream-surface radius and height, and for a transonic turbine vane with transition and heat transfer. Results were compared to the B-L model and to experimental data.

A Culture-Based Model for Strategic Implementation of Virtual Education Delivery

ERIC Educational Resources Information Center

Burn, Janice; Thongprasert, Nalinee

2005-01-01

This study was designed to examine the critical success factors for implementing Virtual Education Delivery (VED) in Thailand, and to identify ways to facilitate such adoption and lead to effective outcomes. The study incorporated an analysis of three specific factors related to Thai culture: high power distance "Bhun Khun", uncertainty…

Quality Teaching Rounds in Mathematics Teacher Education

ERIC Educational Resources Information Center

Prieto, Elena; Howley, Peter; Holmes, Kathryn; Osborn, Judy-anne; Roberts, Malcolm; Kepert, Andrew

2015-01-01

The purpose of the study reported in this paper is to evaluate the effectiveness of an implementation of teaching rounds as a practice-based approach to pre-service teacher education in mathematics. The teaching rounds implemented in the study utilised the NSW Quality Teaching model pedagogical framework as a tool for learning about and reflecting…

An Effective Assessment Model for Implementing Change and Improving Learning

ERIC Educational Resources Information Center

Mince, Rose; Ebersole, Tara

2008-01-01

Assessment at Community College of Baltimore County (CCBC) involves asking the right questions and using data to determine what changes should be implemented to enhance student learning. Guided by a 5-stage design, CCBC's assessment program is faculty-driven, risk-free, and externally validated. Curricular and pedagogical changes have resulted in…

Increasing Implementation of Effective Teaching: A Professional Development Model of Least-to-Most Supports for Special Educators

ERIC Educational Resources Information Center

McCollow, Meaghan M.

2013-01-01

Professional development serves as means of transferring skills and knowledge to in-service educators (Reid, 2010) and of aiding practitioners in maintaining a current knowledge base (Grimes, Kurns, & Tilly, 2006; Jacobson, 1990). Much remains unanswered regarding how to enhance professional development and increase implementation of…

Stochastic nonlinear mixed effects: a metformin case study.

PubMed

Matzuka, Brett; Chittenden, Jason; Monteleone, Jonathan; Tran, Hien

2016-02-01

In nonlinear mixed effect (NLME) modeling, the intra-individual variability is a collection of errors due to assay sensitivity, dosing, sampling, as well as model misspecification. Utilizing stochastic differential equations (SDE) within the NLME framework allows the decoupling of the measurement errors from the model misspecification. This leads the SDE approach to be a novel tool for model refinement. Using Metformin clinical pharmacokinetic (PK) data, the process of model development through the use of SDEs in population PK modeling was done to study the dynamics of absorption rate. A base model was constructed and then refined by using the system noise terms of the SDEs to track model parameters and model misspecification. This provides the unique advantage of making no underlying assumptions about the structural model for the absorption process while quantifying insufficiencies in the current model. This article focuses on implementing the extended Kalman filter and unscented Kalman filter in an NLME framework for parameter estimation and model development, comparing the methodologies, and illustrating their challenges and utility. The Kalman filter algorithms were successfully implemented in NLME models using MATLAB with run time differences between the ODE and SDE methods comparable to the differences found by Kakhi for their stochastic deconvolution.

Integration of treatment innovation planning and implementation: strategic process models and organizational challenges.

PubMed

Lehman, Wayne E K; Simpson, D Dwayne; Knight, Danica K; Flynn, Patrick M

2011-06-01

Sustained and effective use of evidence-based practices in substance abuse treatment services faces both clinical and contextual challenges. Implementation approaches are reviewed that rely on variations of plan-do-study-act (PDSA) cycles, but most emphasize conceptual identification of core components for system change strategies. A two-phase procedural approach is therefore presented based on the integration of Texas Christian University (TCU) models and related resources for improving treatment process and program change. Phase 1 focuses on the dynamics of clinical services, including stages of client recovery (cross-linked with targeted assessments and interventions), as the foundations for identifying and planning appropriate innovations to improve efficiency and effectiveness. Phase 2 shifts to the operational and organizational dynamics involved in implementing and sustaining innovations (including the stages of training, adoption, implementation, and practice). A comprehensive system of TCU assessments and interventions for client and program-level needs and functioning are summarized as well, with descriptions and guidelines for applications in practical settings. (PsycINFO Database Record (c) 2011 APA, all rights reserved).

A multilevel modeling approach to examining the implementation-effectiveness relationship of a behavior change intervention for health care professional trainees.

PubMed

Tomasone, Jennifer R; Sweet, Shane N; McReynolds, Stuart; Martin Ginis, Kathleen A

2017-09-01

Changing Minds, Changing Lives, a seminar-mediated behavior change intervention, aims to enhance health care professionals' (HCPs') social cognitions for discussing leisure-time physical activity (LTPA) with patients with physical disabilities. This study examines which seminar implementation variables (presenter characteristics, delivery components) predict effectiveness using multilevel modeling. HCP trainees (n = 564) attended 24 seminars and completed Theory of Planned Behavior-based measures for discussing LTPA at pre-, post-, 1-month post-, and 6-months post-seminar. Implementation variables were extracted from presenter-completed questionnaires/checklists. Seminars presented by a HCP predicted positive changes in all cognitions pre-post but negative changes in attitudes and perceived behavioral control (PBC) over follow-up (ps < .05). The number of seminars the presenter had delivered predicted negative changes in attitudes and PBC during follow-up (ps < .001). Inclusion of audiovisual components predicted positive changes in attitudes pre-post (p < .001). Presenter characteristics may be "key ingredients" to educational interventions for HCPs; however, future studies should examine additional implementation variables.

An Effective Model for Improving Global Health Nursing Competence.

PubMed

Kang, Sun-Joo

2016-01-01

This paper proposed an effective model for improving global health nursing competence among undergraduate students. A descriptive case study was conducted by evaluation of four implemented programs by the author. All programs were conducted with students majoring in nursing and healthcare, where the researcher was a program director, professor, or facilitator. These programs were analyzed in terms of students' needs assessment, program design, and implementation and evaluation factors. The concept and composition of global nursing competence, identified within previous studies, were deemed appropriate in all of our programs. Program composition varied from curricular to extracurricular domains. During the implementation phase, some of the programs included non-Korean students to improve cultural diversity and overcome language barriers. Qualitative and quantitative surveys were conducted to assess program efficacy. Data triangulation from students' reflective journals was examined. Additionally, students' awareness regarding changes within global health nursing, improved critical thinking, cultural understanding, and global leadership skills were investigated pre- and post-program implementation. The importance of identifying students' needs regarding global nursing competence when developing appropriate curricula is discussed.

The effect of the PROSPER partnership model on cultivating local stakeholder knowledge of evidence-based programs: a five-year longitudinal study of 28 communities.

PubMed

Crowley, D Max; Greenberg, Mark T; Feinberg, Mark E; Spoth, Richard L; Redmond, Cleve R

2012-02-01

A substantial challenge in improving public health is how to facilitate the local adoption of evidence-based interventions (EBIs). To do so, an important step is to build local stakeholders' knowledge and decision-making skills regarding the adoption and implementation of EBIs. One EBI delivery system, called PROSPER (PROmoting School-community-university Partnerships to Enhance Resilience), has effectively mobilized community prevention efforts, implemented prevention programming with quality, and consequently decreased youth substance abuse. While these results are encouraging, another objective is to increase local stakeholder knowledge of best practices for adoption, implementation and evaluation of EBIs. Using a mixed methods approach, we assessed local stakeholder knowledge of these best practices over 5 years, in 28 intervention and control communities. Results indicated that the PROSPER partnership model led to significant increases in expert knowledge regarding the selection, implementation, and evaluation of evidence-based interventions. Findings illustrate the limited programming knowledge possessed by members of local prevention efforts, the difficulty of complete knowledge transfer, and highlight one method for cultivating that knowledge.

Representing growth response to fertilization in the Prognosis Model for Stand Development

Treesearch

Albert R. Stage; Nicholas L. Crookston; Bahman Shafii; James A. Moore; John Olson

1990-01-01

Capability to represent effects of fertilization has been added to the Prognosis Model for Stand Development. As implemented in version 6, the extension is calibrated only for applications of 200 lb nitrogen applied in the form of urea. Direct and indirect effects are based on growth 10 years after treatment for diameter effects, and 6 years after treatment for height...

A mixed-methods exploration of implementation of a comprehensive school healthy eating model one year after scale-up.

PubMed

Naylor, Patti-Jean; McKay, Heather A; Valente, Maria; Mâsse, Louise C

2016-04-01

To study the implementation of a school-based healthy eating (HE) model one year after scale-up in British Columbia (BC). Specifically, to examine implementation of Action Schools! BC (AS! BC) and its influence on implementation of classroom HE activities, and to explore factors associated with implementation. Diffusion of Innovations, Social Cognitive and Organizational Change theories guided our approach. We used a mixed-methods research design including focus group interviews (seven schools, sixty-two implementers) and a cross-sectional multistage survey to principals (n 36, 92 % response rate) and teachers of grades 4 to 7 (n 168, 70 % response rate). Self-reported implementation of classroom HE activities and reported use of specific AS! BC HE activities were primary implementation measures. Thematic analysis of focus group data and multilevel mixed-effect logistic regression analyses of survey data were conducted. Elementary schools across BC, Canada. Thirty-nine school districts, thirty-six principals, 168 grade 4 to 7 teachers. Forty-two per cent of teachers in registered schools were implementing AS! BC HE in their classrooms. Users were 6·25 times more likely to have delivered a HE lesson in the past week. Implementation facilitators were school champions, technical support and access to resources; barriers were lack of time, loss of leadership or momentum. Implementation predictors were teacher training, self-efficacy, experience with the physical activity component of AS! BC, supportive school climate and parental post-secondary education. Our findings reinforce that continued teacher training and support are important public health investments that contribute to successful implementation of school-based HE models after scale-up.

APhA 2011 REMS white paper: Summary of the REMS stakeholder meeting on improving program design and implementation.

PubMed

American Pharmacists Association; Bough, Marcie

2011-01-01

To develop an improved risk evaluation and mitigation strategies (REMS) system for maximizing effective and safe patient medication use while minimizing burden on the health care delivery system. 34 stakeholders gathered October 6-7, 2010, in Arlington, VA, for the REMS Stakeholder Meeting, convened by the American Pharmacists Association (APhA). Participants included national health care provider associations, including representatives for physicians, physician assistants, nurses, nurse practitioners, and pharmacists, as well as representatives for patient advocates, drug distributors, community pharmacists (chain and independent), drug manufacturer associations (brand, generic, and biologic organizations), and health information technology, standards, and safety organizations. Staff from the Food and Drug Administration (FDA) Center for Drug Evaluation and Research participated as observers. The meeting built on themes from the APhA's 2009 REMS white paper. The current REMS environment presents many challenges for health care providers due to the growing number of REMS programs and the lack of standardization or similarities among various REMS programs. A standardized REMS process that focuses on maximizing patient safety and minimizing impacts on patient access and provider implementation could offset these challenges. A new process that includes effective provider interventions and standardized tools and systems for implementing REMS programs may improve patient care and overcome some of the communication issues providers and patients currently face. Metrics could be put in place to evaluate the effectiveness of REMS elements. By incorporating REMS program components into existing technologies and data infrastructures, achieving REMS implementation that is workflow neutral and minimizes administrative burden may be possible. An appropriate compensation model could ensure providers have adequate resources for patient care and REMS implementation. Overall, stakeholders should continue to work collaboratively with FDA and manufacturers to improve REMS program design and implementation issues. A workable REMS system will require effective patient interventions, standardized elements that limit barriers to implementation for both patients and providers, standardized yet flexible implementation strategies, use of existing technologies in practice settings, increased opportunities for provider input early in REMS design processes, improved communication strategies and awareness of program requirements, and viable provider compensation models needed to offset costs to implement and comply with REMS program requirements.

Finding Resolution for the Responsible Transparency of Economic Models in Health and Medicine.

PubMed

Padula, William V; McQueen, Robert Brett; Pronovost, Peter J

2017-11-01

The Second Panel on Cost-Effectiveness in Health and Medicine recommendations for conduct, methodological practices, and reporting of cost-effectiveness analyses has a number of questions unanswered with respect to the implementation of transparent, open source code interface for economic models. The possibility of making economic model source code could be positive and progressive for the field; however, several unintended consequences of this system should be first considered before complete implementation of this model. First, there is the concern regarding intellectual property rights that modelers have to their analyses. Second, the open source code could make analyses more accessible to inexperienced modelers, leading to inaccurate or misinterpreted results. We propose several resolutions to these concerns. The field should establish a licensing system of open source code such that the model originators maintain control of the code use and grant permissions to other investigators who wish to use it. The field should also be more forthcoming towards the teaching of cost-effectiveness analysis in medical and health services education so that providers and other professionals are familiar with economic modeling and able to conduct analyses with open source code. These types of unintended consequences need to be fully considered before the field's preparedness to move forward into an era of model transparency with open source code.

Management of groundwater in-situ bioremediation system using reactive transport modelling under parametric uncertainty: field scale application

NASA Astrophysics Data System (ADS)

Verardo, E.; Atteia, O.; Rouvreau, L.

2015-12-01

In-situ bioremediation is a commonly used remediation technology to clean up the subsurface of petroleum-contaminated sites. Forecasting remedial performance (in terms of flux and mass reduction) is a challenge due to uncertainties associated with source properties and the uncertainties associated with contribution and efficiency of concentration reducing mechanisms. In this study, predictive uncertainty analysis of bio-remediation system efficiency is carried out with the null-space Monte Carlo (NSMC) method which combines the calibration solution-space parameters with the ensemble of null-space parameters, creating sets of calibration-constrained parameters for input to follow-on remedial efficiency. The first step in the NSMC methodology for uncertainty analysis is model calibration. The model calibration was conducted by matching simulated BTEX concentration to a total of 48 observations from historical data before implementation of treatment. Two different bio-remediation designs were then implemented in the calibrated model. The first consists in pumping/injection wells and the second in permeable barrier coupled with infiltration across slotted piping. The NSMC method was used to calculate 1000 calibration-constrained parameter sets for the two different models. Several variants of the method were implemented to investigate their effect on the efficiency of the NSMC method. The first variant implementation of the NSMC is based on a single calibrated model. In the second variant, models were calibrated from different initial parameter sets. NSMC calibration-constrained parameter sets were sampled from these different calibrated models. We demonstrate that in context of nonlinear model, second variant avoids to underestimate parameter uncertainty which may lead to a poor quantification of predictive uncertainty. Application of the proposed approach to manage bioremediation of groundwater in a real site shows that it is effective to provide support in management of the in-situ bioremediation systems. Moreover, this study demonstrates that the NSMC method provides a computationally efficient and practical methodology of utilizing model predictive uncertainty methods in environmental management.

Guiding Principles for Data Architecture to Support the Pathways Community HUB Model.

PubMed

Zeigler, Bernard P; Redding, Sarah; Leath, Brenda A; Carter, Ernest L; Russell, Cynthia

2016-01-01

The Pathways Community HUB Model provides a unique strategy to effectively supplement health care services with social services needed to overcome barriers for those most at risk of poor health outcomes. Pathways are standardized measurement tools used to define and track health and social issues from identification through to a measurable completion point. The HUB use Pathways to coordinate agencies and service providers in the community to eliminate the inefficiencies and duplication that exist among them. Experience with the Model has brought out the need for better information technology solutions to support implementation of the Pathways themselves through decision-support tools for care coordinators and other users to track activities and outcomes, and to facilitate reporting. Here we provide a basis for discussing recommendations for such a data infrastructure by developing a conceptual model that formalizes the Pathway concept underlying current implementations. The main contribution is a set of core recommendations as a framework for developing and implementing a data architecture to support implementation of the Pathways Community HUB Model. The objective is to present a tool for communities interested in adopting the Model to learn from and to adapt in their own development and implementation efforts. Experience with the Community Health Access Project (CHAP) data base system (the core implementation of the Model) has identified several issues and remedies that have been developed to address these issues. Based on analysis of issues and remedies, we present several key features for a data architecture meeting the just mentioned recommendations. Presentation of features is followed by a practical guide to their implementation allowing an organization to consider either tailoring off-the-shelf generic systems to meet the requirements or offerings that are specialized for community-based care coordination. Looking to future extensions, we discuss the utility and prospects for an ontology to include care coordination in the Unified Medical Language System (UMLS) of the National Library of Medicine and other existing medical and nursing taxonomies. Pathways structures are an important principle, not only for organizing the care coordination activities, but also for structuring the data stored in electronic form in the conduct of such care. We showed how the proposed architecture encourages design of effective decision support systems for coordinated care and suggested how interested organizations can set about acquiring such systems. Although the presentation focuses on the Pathways Community HUB Model, the principles for data architecture are stated in generic form and are applicable to any health information system for improving care coordination services and population health.

Designing Caregiver-Implemented Shared-Reading Interventions to Overcome Implementation Barriers

PubMed Central

Logan, Jessica R.; Damschroder, Laura

2015-01-01

Purpose This study presents an application of the theoretical domains framework (TDF; Michie et al., 2005), an integrative framework drawing on behavior-change theories, to speech-language pathology. Methods A multistep procedure was used to identify barriers affecting caregivers' implementation of shared-reading interventions with their children with language impairment (LI). The authors examined caregiver-level data corresponding to implementation issues from two randomized controlled trials and mapped these to domains in the TDF as well as empirically validated behavior-change techniques. Results Four barriers to implementation were identified as potentially affecting caregivers' implementation: time pressures, reading difficulties, discomfort with reading, and lack of awareness of benefits. These were mapped to 3 TDF domains: intentions, beliefs about capabilities, and skills. In turn, 4 behavior-change techniques were identified as potential vehicles for affecting these domains: reward, feedback, model, and encourage. An ongoing study is described that is determining the effects of these techniques for improving caregivers' implementation of a shared-reading intervention. Conclusions A description of the steps to identifying barriers to implementation, in conjunction with an ongoing experiment that will explicitly determine whether behavior-change techniques affect these barriers, provides a model for how implementation science can be used to identify and overcome implementation barriers in the treatment of communication disorders. PMID:26262941

Designing Caregiver-Implemented Shared-Reading Interventions to Overcome Implementation Barriers.

PubMed

Justice, Laura M; Logan, Jessica R; Damschroder, Laura

2015-12-01

This study presents an application of the theoretical domains framework (TDF; Michie et al., 2005), an integrative framework drawing on behavior-change theories, to speech-language pathology. A multistep procedure was used to identify barriers affecting caregivers' implementation of shared-reading interventions with their children with language impairment (LI). The authors examined caregiver-level data corresponding to implementation issues from two randomized controlled trials and mapped these to domains in the TDF as well as empirically validated behavior-change techniques. Four barriers to implementation were identified as potentially affecting caregivers' implementation: time pressures, reading difficulties, discomfort with reading, and lack of awareness of benefits. These were mapped to 3 TDF domains: intentions, beliefs about capabilities, and skills. In turn, 4 behavior-change techniques were identified as potential vehicles for affecting these domains: reward, feedback, model, and encourage. An ongoing study is described that is determining the effects of these techniques for improving caregivers' implementation of a shared-reading intervention. A description of the steps to identifying barriers to implementation, in conjunction with an ongoing experiment that will explicitly determine whether behavior-change techniques affect these barriers, provides a model for how implementation science can be used to identify and overcome implementation barriers in the treatment of communication disorders.

Testing the Model-Observer Similarity Hypothesis with Text-Based Worked Examples

ERIC Educational Resources Information Center

Hoogerheide, Vincent; Loyens, Sofie M. M.; Jadi, Fedora; Vrins, Anna; van Gog, Tamara

2017-01-01

Example-based learning is a very effective and efficient instructional strategy for novices. It can be implemented using text-based worked examples that provide a written demonstration of how to perform a task, or (video) modelling examples in which an instructor (the "model") provides a demonstration. The model-observer similarity (MOS)…

The Technological Barriers of Using Video Modeling in the Classroom

ERIC Educational Resources Information Center

Marino, Desha; Myck-Wayne, Janice

2015-01-01

The purpose of this investigation is to identify the technological barriers teachers encounter when attempting to implement video modeling in the classroom. Video modeling is an emerging evidence-based intervention method used with individuals with autism. Research has shown the positive effects video modeling can have on its recipients. Educators…

Modeling of dynamic effects of a low power laser beam

NASA Technical Reports Server (NTRS)

Lawrence, George N.; Scholl, Marija S.; Khatib, AL

1988-01-01

Methods of modeling some of the dynamic effects involved in laser beam propagation through the atmosphere are addressed with emphasis on the development of simple but accurate models which are readily implemented in a physical optics code. A space relay system with a ground based laser facility is considered as an example. The modeling of such characteristic phenomena as laser output distribution, flat and curved mirrors, diffraction propagation, atmospheric effects (aberration and wind shear), adaptive mirrors, jitter, and time integration of power on target, is discussed.

Unpacking buyer-seller differences in valuation from experience: A cognitive modeling approach.

PubMed

Pachur, Thorsten; Scheibehenne, Benjamin

2017-12-01

People often indicate a higher price for an object when they own it (i.e., as sellers) than when they do not (i.e., as buyers)-a phenomenon known as the endowment effect. We develop a cognitive modeling approach to formalize, disentangle, and compare alternative psychological accounts (e.g., loss aversion, loss attention, strategic misrepresentation) of such buyer-seller differences in pricing decisions of monetary lotteries. To also be able to test possible buyer-seller differences in memory and learning, we study pricing decisions from experience, obtained with the sampling paradigm, where people learn about a lottery's payoff distribution from sequential sampling. We first formalize different accounts as models within three computational frameworks (reinforcement learning, instance-based learning theory, and cumulative prospect theory), and then fit the models to empirical selling and buying prices. In Study 1 (a reanalysis of published data with hypothetical decisions), models assuming buyer-seller differences in response bias (implementing a strategic-misrepresentation account) performed best; models assuming buyer-seller differences in choice sensitivity or memory (implementing a loss-attention account) generally fared worst. In a new experiment involving incentivized decisions (Study 2), models assuming buyer-seller differences in both outcome sensitivity (as proposed by a loss-aversion account) and response bias performed best. In both Study 1 and 2, the models implemented in cumulative prospect theory performed best. Model recovery studies validated our cognitive modeling approach, showing that the models can be distinguished rather well. In summary, our analysis supports a loss-aversion account of the endowment effect, but also reveals a substantial contribution of simple response bias.

Opportunities to Meet Challenges in Rural Prevention Research

PubMed Central

Spoth, Richard

2008-01-01

Various rural prevention research challenges have been articulated through a series of sessions convened since the mid 1990s by the National Institutes of Health, particularly the National Institute on Drug Abuse. Salient in this articulation was the need for effective collaboration among rural practitioners and scientists, with special consideration of accommodating the diversity of rural areas and surmounting barriers to implementation of evidence-based interventions. This paper summarizes the range of challenges in rural prevention research and describes an evolving community-university partnership model addressing them. The model entails involvement of public school staff and other rural community stakeholders, linked with scientists by Land Grant University-based Extension system staff. Examples of findings from over 16 years of partnership-based intervention research projects include those on engagement of rural residents, quality implementation of evidence-based interventions, and long-term community-level outcomes, as well as factors in effectiveness of the partnerships. Findings suggest a future focus on building capacity for practitioner-scientist collaboration and developing a network for more widespread implementation of the partnership model in a manner informed by lessons learned from partnership-based research to date. PMID:18237324

The implementation of assessment model based on character building to improve students’ discipline and achievement

NASA Astrophysics Data System (ADS)

Rusijono; Khotimah, K.

2018-01-01

The purpose of this research was to investigate the effect of implementing the assessment model based on character building to improve discipline and student’s achievement. Assessment model based on character building includes three components, which are the behaviour of students, the efforts, and student’s achievement. This assessment model based on the character building is implemented in science philosophy and educational assessment courses, in Graduate Program of Educational Technology Department, Educational Faculty, Universitas Negeri Surabaya. This research used control group pre-test and post-test design. Data collection method used in this research were observation and test. The observation was used to collect the data about the disciplines of the student in the instructional process, while the test was used to collect the data about student’s achievement. Moreover, the study applied t-test to the analysis of data. The result of this research showed that assessment model based on character building improved discipline and student’s achievement.

Effects of a strategy to improve offender assessment practices: Staff perceptions of implementation outcomes.

PubMed

Welsh, Wayne N; Lin, Hsiu-Ju; Peters, Roger H; Stahler, Gerald J; Lehman, Wayne E K; Stein, Lynda A R; Monico, Laura; Eggers, Michele; Abdel-Salam, Sami; Pierce, Joshua C; Hunt, Elizabeth; Gallagher, Colleen; Frisman, Linda K

2015-07-01

This implementation study examined the impact of an organizational process improvement intervention (OPII) on a continuum of evidence based practices related to assessment and community reentry of drug-involved offenders: Measurement/Instrumentation, Case Plan Integration, Conveyance/Utility, and Service Activation/Delivery. To assess implementation outcomes (staff perceptions of evidence-based assessment practices), a survey was administered to correctional and treatment staff (n=1509) at 21 sites randomly assigned to an Early- or Delayed-Start condition. Hierarchical linear models with repeated measures were used to examine changes in evidence-based assessment practices over time, and organizational characteristics were examined as covariates to control for differences across the 21 research sites. Results demonstrated significant intervention and sustainability effects for three of the four assessment domains examined, although stronger effects were obtained for intra- than inter-agency outcomes. No significant effects were found for Conveyance/Utility. Implementation interventions such as the OPII represent an important tool to enhance the use of evidence-based assessment practices in large and diverse correctional systems. Intra-agency assessment activities that were more directly under the control of correctional agencies were implemented most effectively. Activities in domains that required cross-systems collaboration were not as successfully implemented, although longer follow-up periods might afford detection of stronger effects. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Effects-based strategy development through center of gravity and target system analysis

NASA Astrophysics Data System (ADS)

White, Christopher M.; Prendergast, Michael; Pioch, Nicholas; Jones, Eric K.; Graham, Stephen

2003-09-01

This paper describes an approach to effects-based planning in which a strategic-theater-level mission is refined into operational-level and ultimately tactical-level tasks and desired effects, informed by models of the expected enemy response at each level of abstraction. We describe a strategy development system that implements this approach and supports human-in-the-loop development of an effects-based plan. This system consists of plan authoring tools tightly integrated with a suite of center of gravity (COG) and target system analysis tools. A human planner employs the plan authoring tools to develop a hierarchy of tasks and desired effects. Upon invocation, the target system analysis tools use reduced-order models of enemy centers of gravity to select appropriate target set options for the achievement of desired effects, together with associated indicators for each option. The COG analysis tools also provide explicit models of the causal mechanisms linking tasks and desired effects to one another, and suggest appropriate observable indicators to guide ISR planning, execution monitoring, and campaign assessment. We are currently implementing the system described here as part of the AFRL-sponsored Effects Based Operations program.

A systematic comparison of two-equation Reynolds-averaged Navier-Stokes turbulence models applied to shock-cloud interactions

NASA Astrophysics Data System (ADS)

Goodson, Matthew D.; Heitsch, Fabian; Eklund, Karl; Williams, Virginia A.

2017-07-01

Turbulence models attempt to account for unresolved dynamics and diffusion in hydrodynamical simulations. We develop a common framework for two-equation Reynolds-averaged Navier-Stokes turbulence models, and we implement six models in the athena code. We verify each implementation with the standard subsonic mixing layer, although the level of agreement depends on the definition of the mixing layer width. We then test the validity of each model into the supersonic regime, showing that compressibility corrections can improve agreement with experiment. For models with buoyancy effects, we also verify our implementation via the growth of the Rayleigh-Taylor instability in a stratified medium. The models are then applied to the ubiquitous astrophysical shock-cloud interaction in three dimensions. We focus on the mixing of shock and cloud material, comparing results from turbulence models to high-resolution simulations (up to 200 cells per cloud radius) and ensemble-averaged simulations. We find that the turbulence models lead to increased spreading and mixing of the cloud, although no two models predict the same result. Increased mixing is also observed in inviscid simulations at resolutions greater than 100 cells per radius, which suggests that the turbulent mixing begins to be resolved.

Improving health systems performance in low- and middle-income countries: a system dynamics model of the pay-for-performance initiative in Afghanistan.

PubMed

Alonge, O; Lin, S; Igusa, T; Peters, D H

2017-12-01

System dynamics methods were used to explore effective implementation pathways for improving health systems performance through pay-for-performance (P4P) schemes. A causal loop diagram was developed to delineate primary causal relationships for service delivery within primary health facilities. A quantitative stock-and-flow model was developed next. The stock-and-flow model was then used to simulate the impact of various P4P implementation scenarios on quality and volume of services. Data from the Afghanistan national facility survey in 2012 was used to calibrate the model. The models show that P4P bonuses could increase health workers' motivation leading to higher levels of quality and volume of services. Gaming could reduce or even reverse this desired effect, leading to levels of quality and volume of services that are below baseline levels. Implementation issues, such as delays in the disbursement of P4P bonuses and low levels of P4P bonuses, also reduce the desired effect of P4P on quality and volume, but they do not cause the outputs to fall below baseline levels. Optimal effect of P4P on quality and volume of services is obtained when P4P bonuses are distributed per the health workers' contributions to the services that triggered the payments. Other distribution algorithms such as equal allocation or allocations proportionate to salaries resulted in quality and volume levels that were substantially lower, sometimes below baseline. The system dynamics models served to inform, with quantitative results, the theory of change underlying P4P intervention. Specific implementation strategies, such as prompt disbursement of adequate levels of performance bonus distributed per health workers' contribution to service, increase the likelihood of P4P success. Poorly designed P4P schemes, such as those without an optimal algorithm for distributing performance bonuses and adequate safeguards for gaming, can have a negative overall impact on health service delivery systems. © The Author 2017. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.

Effects of video modeling on treatment integrity of behavioral interventions.

PubMed

Digennaro-Reed, Florence D; Codding, Robin; Catania, Cynthia N; Maguire, Helena

2010-01-01

We examined the effects of individualized video modeling on the accurate implementation of behavioral interventions using a multiple baseline design across 3 teachers. During video modeling, treatment integrity improved above baseline levels; however, teacher performance remained variable. The addition of verbal performance feedback increased treatment integrity to 100% for all participants, and performance was maintained 1 week later. Teachers found video modeling to be more socially acceptable with performance feedback than alone, but rated both positively.

Embedded System Implementation of Sound Localization in Proximal Region

NASA Astrophysics Data System (ADS)

Iwanaga, Nobuyuki; Matsumura, Tomoya; Yoshida, Akihiro; Kobayashi, Wataru; Onoye, Takao

A sound localization method in the proximal region is proposed, which is based on a low-cost 3D sound localization algorithm with the use of head-related transfer functions (HRTFs). The auditory parallax model is applied to the current algorithm so that more accurate HRTFs can be used for sound localization in the proximal region. In addition, head-shadowing effects based on rigid-sphere model are reproduced in the proximal region by means of a second-order IIR filter. A subjective listening test demonstrates the effectiveness of the proposed method. Embedded system implementation of the proposed method is also described claiming that the proposed method improves sound effects in the proximal region only with 5.1% increase of memory capacity and 8.3% of computational costs.

Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF-CMAQ: model description, development, evaluation and regional analysis

EPA Science Inventory

This study implemented first, second and glaciations aerosol indirect effects (AIE) on resolved clouds in the two-way coupled WRF-CMAQ modeling system by including parameterizations for both cloud drop and ice number concentrations on the basis of CMAQ predicted aerosol distribu...

Additive and Interactive Effects of Stimulus Degradation: No Challenge for CDP+

ERIC Educational Resources Information Center

Ziegler, Johannes C.; Perry, Conrad; Zorzi, Marco

2009-01-01

S. O'Malley and D. Besner (2008) showed that additive effects of stimulus degradation and word frequency in reading aloud occur in the presence of nonwords but not in pure word lists. They argued that this dissociation presents a major challenge to interactive computational models of reading aloud and claimed that no currently implemented model is…

Variation in community intervention programmes and consequences for children and families: the example of Sure Start Local Programmes.

PubMed

Melhuish, Edward; Belsky, Jay; Anning, Angela; Ball, Mog; Barnes, Jacqueline; Romaniuk, Helena; Leyland, Alastair

2007-06-01

An area-based initiative, Sure Start Local Programmes (SSLPs), was established by the UK government to reduce social exclusion through improving the well-being of children aged 0-3 years and their families in disadvantaged communities; a true community intervention in that all children under four and their families in specified areas served as targets of universal services. A national evaluation examined the links between variation in programme implementation and effectiveness. Data gathered from multiple sources produced measures of implementation in terms of proficiency, services and staffing. Measures of programme impact on child/parenting outcomes derived from multilevel models, controlling for child, family and area characteristics, were identified to demonstrate programme effectiveness. Some modest linkage between programme implementation (e.g., proficiency, empowerment of parents and staff, identification of users) and effectiveness for child and parenting outcomes. Overall proficiency and specific aspects of implementation may influence effectiveness, which should guide the design of other child, family and community services.

Flight crew aiding for recovery from subsystem failures

NASA Technical Reports Server (NTRS)

Hudlicka, E.; Corker, K.; Schudy, R.; Baron, Sheldon

1990-01-01

Some of the conceptual issues associated with pilot aiding systems are discussed and an implementation of one component of such an aiding system is described. It is essential that the format and content of the information the aiding system presents to the crew be compatible with the crew's mental models of the task. It is proposed that in order to cooperate effectively, both the aiding system and the flight crew should have consistent information processing models, especially at the point of interface. A general information processing strategy, developed by Rasmussen, was selected to serve as the bridge between the human and aiding system's information processes. The development and implementation of a model-based situation assessment and response generation system for commercial transport aircraft are described. The current implementation is a prototype which concentrates on engine and control surface failure situations and consequent flight emergencies. The aiding system, termed Recovery Recommendation System (RECORS), uses a causal model of the relevant subset of the flight domain to simulate the effects of these failures and to generate appropriate responses, given the current aircraft state and the constraints of the current flight phase. Since detailed information about the aircraft state may not always be available, the model represents the domain at varying levels of abstraction and uses the less detailed abstraction levels to make inferences when exact information is not available. The structure of this model is described in detail.

The ABLe change framework: a conceptual and methodological tool for promoting systems change.

PubMed

Foster-Fishman, Pennie G; Watson, Erin R

2012-06-01

This paper presents a new approach to the design and implementation of community change efforts like a System of Care. Called the ABLe Change Framework, the model provides simultaneous attention to the content and process of the work, ensuring effective implementation and the pursuit of systems change. Three key strategies are employed in this model to ensure the integration of content and process efforts and effective mobilization of broad scale systems change: Systemic Action Learning Teams, Simple Rules, and Small Wins. In this paper we describe the ABLe Change Framework and present a case study in which we successfully applied this approach to one system of care effort in Michigan.

Ionospheric Refraction Corrections in the GTDS for Satellite-To-Satellite Tracking Data

NASA Technical Reports Server (NTRS)

Nesterczuk, G.; Kozelsky, J. K.

1976-01-01

In satellite-to-satellite tracking (SST) geographic as well as diurnal ionospheric effects must be contended with, for the line of sight between satellites can cross a day-night interface or lie within the equatorial ionosphere. These various effects were examined and a method of computing ionospheric refraction corrections to range and range rate measurements with sufficient accuracy were devised to be used in orbit determinations. The Bent Ionospheric Model is used for SST refraction corrections. Making use of this model a method of computing corrections through large ionospheric gradients was devised and implemented into the Goddard Trajectory Determination System. The various considerations taken in designing and implementing this SST refraction correction algorithm are reported.

Barriers to implementation of workplace health interventions: an economic perspective.

PubMed

Cherniack, Martin; Lahiri, Supriya

2010-09-01

To identify insurance related, structural, and workplace cultural barriers to the implementation of effective preventive and upstream clinical interventions in the working age adult population. Analysis of avoided costs from perspective of health economics theory and from empiric observations from large studies; presentation of data from our own cost-plus model on integrating health promotion and ergonomics. We identify key avoided costs issues as a misalignment of interests between employers, insurers, service institutions, and government. Conceptual limitations of neoclassical economics are attributable to work culture and supply-driven nature of health care. Effective valuation of avoided costs is a necessary condition for redirecting allocations and incentives. Key content for valuation models is discussed.

Polydisperse sphere packing in high dimensions, a search for an upper critical dimension

NASA Astrophysics Data System (ADS)

Morse, Peter; Clusel, Maxime; Corwin, Eric

2012-02-01

The recently introduced granocentric model for polydisperse sphere packings has been shown to be in good agreement with experimental and simulational data in two and three dimensions. This model relies on two effective parameters that have to be estimated from experimental/simulational results. The non-trivial values obtained allow the model to take into account the essential effects of correlations in the packing. Once these parameters are set, the model provides a full statistical description of a sphere packing for a given polydispersity. We investigate the evolution of these effective parameters with the spatial dimension to see if, in analogy with the upper critical dimension in critical phenomena, there exists a dimension above which correlations become irrelevant and the model parameters can be fixed a priori as a function of polydispersity. This would turn the model into a proper theory of polydisperse sphere packings at that upper critical dimension. We perform infinite temperature quench simulations of frictionless polydisperse sphere packings in dimensions 2-8 using a parallel algorithm implemented on a GPGPU. We analyze the resulting packings by implementing an algorithm to calculate the additively weighted Voronoi diagram in arbitrary dimension.

Scattering effects on the performance of carbon nanotube field effect transistor in a compact model

NASA Astrophysics Data System (ADS)

Hamieh, S. D.; Desgreys, P.; Naviner, J. F.

2010-01-01

Carbon nanotube field-effect transistors (CNTFET) are being extensively studied as possible successors to CMOS. Device simulators have been developed to estimate their performance in sub-10-nm and device structures have been fabricated. In this work, a new compact model of single-walled semiconducting CNTFET is proposed implementing the calculation of energy conduction sub-band minima and the treatment of scattering effects through energy shift in CNTFET. The developed model has been used to simulate I-V characteristics using VHDL-AMS simulator.

Factors affecting strategic plan implementation using interpretive structural modeling (ISM).

PubMed

Bahadori, Mohammadkarim; Teymourzadeh, Ehsan; Tajik, Hamidreza; Ravangard, Ramin; Raadabadi, Mehdi; Hosseini, Seyed Mojtaba

2018-06-11

Purpose Strategic planning is the best tool for managers seeking an informed presence and participation in the market without surrendering to changes. Strategic planning enables managers to achieve their organizational goals and objectives. Hospital goals, such as improving service quality and increasing patient satisfaction cannot be achieved if agreed strategies are not implemented. The purpose of this paper is to investigate the factors affecting strategic plan implementation in one teaching hospital using interpretive structural modeling (ISM). Design/methodology/approach The authors used a descriptive study involving experts and senior managers; 16 were selected as the study sample using a purposive sampling method. Data were collected using a questionnaire designed and prepared based on previous studies. Data were analyzed using ISM. Findings Five main factors affected strategic plan implementation. Although all five variables and factors are top level, "senior manager awareness and participation in the strategic planning process" and "creating and maintaining team participation in the strategic planning process" had maximum drive power. "Organizational structure effects on the strategic planning process" and "Organizational culture effects on the strategic planning process" had maximum dependence power. Practical implications Identifying factors affecting strategic plan implementation is a basis for healthcare quality improvement by analyzing the relationship among factors and overcoming the barriers. Originality/value The authors used ISM to analyze the relationship between factors affecting strategic plan implementation.

Looking good or doing better? Patterns of decoupling in the implementation of clinical directorates.

PubMed

Mascia, Daniele; Morandi, Federica; Cicchetti, Americo

2014-01-01

The interest toward hospital restructuring has risen significantly in recent years. In spite of its potential benefits, often organizational restructuring in health care produces unexpected consequences. Extant research suggests that institutional theory provides a powerful theoretical lens through which hospital restructuring can be described and explained. According to this perspective, the effectiveness of change is strongly related to the extent to which innovative arrangements, tools, or practices are adopted and implemented within hospitals. Whenever these new arrangements require a substantial modification of internal processes and practices, resistance to implementation emerges and organizational change is likely to become neutralized. This study analyzes how hospital organizations engage in decoupling by adopting but not implementing a new organizational model named clinical directorate. We collected primary data on the diffusion of the clinical directorate model, which was mandated by law in the Italian National Health Service to improve hospital services. We surveyed the adoption and implementation of the clinical directorate model by monitoring the presence of clinical governance tools (measures for the quality improvement of hospital services) within single directorates. In particular, we compared hospitals that adopted the model before (early adopters) or after (later adopters) the mandate was introduced. Hospitals were engaged in decoupling by adopting the new arrangement but not implementing internal practices and tools for quality improvement. The introduction of the law significantly affected the decoupling, with late-adopter hospitals being less likely to implement the adopted model. The present research shows that changes in quality improvement processes may vary in relation to policy makers' interventions aimed at boosting the adoption of new hospital arrangements. Hospital administrators need to be aware and identify the institutional changes that might be driven by law to be able to react consistently with expectations of policymakers.

Systematic Braiding of Two Evidence-Based Parent Training Programs: Qualitative Results from the Pilot Phase

PubMed Central

Guastaferro, Kate; Miller, Katy; Shanley Chatham, Jenelle R.; Whitaker, Daniel J.; McGilly, Kate; Lutzker, John R.

2017-01-01

An effective approach in early intervention for children and families, including child maltreatment prevention, is home-based services. Though several evidence-based programs exist, they are often grouped together, despite having different foci. This paper describes an ongoing cluster randomized trial systematically braiding two evidence-based home-based models, SafeCare® and Parents as Teachers (PAT)®, to better meet the needs of families at-risk. We describe the methodology for braiding model implementation and curriculum, specifically focusing on how structured qualitative feedback from pilot families and providers was used to create the braided curriculum and implementation. Systematic braiding of two models at the implementation and curriculum levels is a mechanism that has the potential to meet the more comprehensive needs of families at-risk for maltreatment. PMID:27870760

An educational ethnography of teacher-developed science curriculum implementation: Enacting conceptual change-based science inquiry with Hispanic students

NASA Astrophysics Data System (ADS)

Brunsell, Eric Steven

An achievement gap exists between White and Hispanic students in the United States. Research has shown that improving the quality of instruction for minority students is an effective way to narrow this gap. Science education reform movements emphasize that science should be taught using a science inquiry approach. Extensive research in teaching and learning science also shows that a conceptual change model of teaching is effective in helping students learn science. Finally, research into how Hispanic students learn best has provided a number of suggestions for science instruction. The Inquiry for Conceptual Change model merges these three research strands into a comprehensive yet accessible model for instruction. This study investigates two questions. First, what are teachers' perceptions of science inquiry and its implementation in the classroom? Second, how does the use of the Inquiry for Conceptual Change model affect the learning of students in a predominantly Hispanic, urban neighborhood. Five teachers participated in a professional development project where they developed and implemented a science unit based on the Inquiry for Conceptual Change model. Three units were developed and implemented for this study. This is a qualitative study that included data from interviews, participant reflections and journals, student pre- and post-assessments, and researcher observations. This study provides an in-depth description of the role of professional development in helping teachers understand how science inquiry can be used to improve instructional quality for students in a predominantly Hispanic, urban neighborhood. These teachers demonstrated that it is important for professional development to be collaborative and provide opportunities for teachers to enact and reflect on new teaching paradigms. This study also shows promising results for the ability of the Inquiry for Conceptual Change model to improve student learning.

A Conceptual Framework for Institutional Research in Community Colleges.

ERIC Educational Resources Information Center

Alfred, Richard L.; Ivens, Stephen H.

This paper defines a conceptual model for institutional research in the community college and identifies sources of information, programs, and services that provide data necessary for implementation of the model. The model contains four specific subsystems: goal setting, program development, program review, and cost effectiveness. Each subsystem…

Strategic environmental assessment performance factors and their interaction: An empirical study in China

DOE Office of Scientific and Technical Information (OSTI.GOV)

Li, Tianwei, E-mail: li.tianwei@mep.gov.cn; Wang, Huizhi, E-mail: huizhiwangnk@163.com; Deng, Baole, E-mail: dengbaolekobe@126.com

Strategic Environmental Assessment (SEA) has been seen as a preventive and participatory environmental management tool designed to integrate environmental protection into the decision-making process. However, the debate about SEA performance and effectiveness has increased in recent decades. Two main challenges exist in relation to this issue. The first is identifying the key influencing factors that affect SEA effectiveness, and the second is analyzing the relationship between SEA and these influencing factors. In this study, influencing factors were investigated through questionnaire surveys in the Chinese context, and then a Structural Equation Model (SEM) was developed and tested to identify potential linksmore » and causal relationships among factors. The associations between the independent factors were divided into direct and indirect causal associations. The results indicate that the decision-making process and policy context directly affect SEA implementation, while information and data sharing, public participation, expertise and SEA institutions are indirectly related with SEA. The results also suggest that a lack of cooperation between different sectors is an obstacle to the implementation of SEA. These findings could potentially contribute to the future management and implementation of SEA or enhance existing knowledge of SEA. The results show that the proposed model has a degree of feasibility and applicability. - Highlights: • Influencing factors were identified and investigated through questionnaire surveys. • Structural Equation Model (SEM) was developed and tested to identify potential links and causal relationships among factors. • Decision-making process and policy context directly affect SEA implementation. • Lack of cooperation among different sectors is an obstacle to the implementation of SEA. • The proposed model has a degree of feasibility and applicability.« less

The Cascading Effects of Multiple Dimensions of Implementation on Program Outcomes: a Test of a Theoretical Model.

PubMed

Berkel, Cady; Mauricio, Anne M; Sandler, Irwin N; Wolchik, Sharlene A; Gallo, Carlos G; Brown, C Hendricks

2017-12-14

This study tests a theoretical cascade model in which multiple dimensions of facilitator delivery predict indicators of participant responsiveness, which in turn lead to improvements in targeted program outcomes. An effectiveness trial of the 10-session New Beginnings Program for divorcing families was implemented in partnership with four county-level family courts. This study included 366 families assigned to the intervention condition who attended at least one session. Independent observers provided ratings of program delivery (i.e., fidelity to the curriculum and process quality). Facilitators reported on parent attendance and parents' competence in home practice of program skills. At pretest and posttest, children reported on parenting and parents reported child mental health. We hypothesized effects of quality on attendance, fidelity and attendance on home practice, and home practice on improvements in parenting and child mental health. Structural Equation Modeling with mediation and moderation analyses were used to test these associations. Results indicated quality was significantly associated with attendance, and attendance moderated the effect of fidelity on home practice. Home practice was a significant mediator of the links between fidelity and improvements in parent-child relationship quality and child externalizing and internalizing problems. Findings provide support for fidelity to the curriculum, process quality, attendance, and home practice as valid predictors of program outcomes for mothers and fathers. Future directions for assessing implementation in community settings are discussed.

The Effect of STEM Learning through the Project of Designing Boat Model toward Student STEM Literacy

NASA Astrophysics Data System (ADS)

Tati, T.; Firman, H.; Riandi, R.

2017-09-01

STEM Learning focusses on development of STEM-literate society, the research about implementation of STEM learning to develope students’ STEM literacy is still limited. This study is aimed to examine the effect of implementation STEM learning through the project of designing boat model on students STEM literacy in energy topic. The method of this study was a quasi-experiment with non-randomized pretest-posttest control group design. There were two classes involved, the experiment class used Project Based Learning with STEM approach and control class used Project-Based Learning without STEM approach. A STEM Literacy test instrument was developed to measure students STEM literacy which consists of science literacy, mathematics literacy, and technology-engineering literacy. The analysis showed that there were significant differences on improvement science literacy, mathematics technology-engineering between experiment class and control class with effect size more than 0.8 (large effect). The difference of improvement of STEM literacy between experiment class and control class is caused by the existence of design engineering activity which required students to apply the knowledge from every field of STEM. The challenge that was faced in STEM learning through design engineering activity was how to give the students practice to integrate STEM field in solving the problems. In additional, most of the students gave positive response toward implementation of STEM learning through design boat model project.

Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model.

PubMed

Wang, Jianzhou; Niu, Tong; Wang, Rui

2017-03-02

The worsening atmospheric pollution increases the necessity of air quality early warning systems (EWSs). Despite the fact that a massive amount of investigation about EWS in theory and practicality has been conducted by numerous researchers, studies concerning the quantification of uncertain information and comprehensive evaluation are still lacking, which impedes further development in the area. In this paper, firstly a comprehensive warning system is proposed, which consists of two vital indispensable modules, namely effective forecasting and scientific evaluation, respectively. For the forecasting module, a novel hybrid model combining the theory of data preprocessing and numerical optimization is first developed to implement effective forecasting for air pollutant concentration. Especially, in order to further enhance the accuracy and robustness of the warning system, interval forecasting is implemented to quantify the uncertainties generated by forecasts, which can provide significant risk signals by using point forecasting for decision-makers. For the evaluation module, a cloud model, based on probability and fuzzy set theory, is developed to perform comprehensive evaluations of air quality, which can realize the transformation between qualitative concept and quantitative data. To verify the effectiveness and efficiency of the warning system, extensive simulations based on air pollutants data from Dalian in China were effectively implemented, which illustrate that the warning system is not only remarkably high-performance, but also widely applicable.

Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model

PubMed Central

Wang, Jianzhou; Niu, Tong; Wang, Rui

2017-01-01

The worsening atmospheric pollution increases the necessity of air quality early warning systems (EWSs). Despite the fact that a massive amount of investigation about EWS in theory and practicality has been conducted by numerous researchers, studies concerning the quantification of uncertain information and comprehensive evaluation are still lacking, which impedes further development in the area. In this paper, firstly a comprehensive warning system is proposed, which consists of two vital indispensable modules, namely effective forecasting and scientific evaluation, respectively. For the forecasting module, a novel hybrid model combining the theory of data preprocessing and numerical optimization is first developed to implement effective forecasting for air pollutant concentration. Especially, in order to further enhance the accuracy and robustness of the warning system, interval forecasting is implemented to quantify the uncertainties generated by forecasts, which can provide significant risk signals by using point forecasting for decision-makers. For the evaluation module, a cloud model, based on probability and fuzzy set theory, is developed to perform comprehensive evaluations of air quality, which can realize the transformation between qualitative concept and quantitative data. To verify the effectiveness and efficiency of the warning system, extensive simulations based on air pollutants data from Dalian in China were effectively implemented, which illustrate that the warning system is not only remarkably high-performance, but also widely applicable. PMID:28257122

Methods of the aerodynamical experiments with simulation of massflow-traction ratio of the power unit

NASA Astrophysics Data System (ADS)

Lokotko, A. V.

2016-10-01

Modeling massflow-traction characteristics of the power unit (PU) may be of interest in the study of aerodynamic characteristics (ADC) aircraft models with full dynamic likeness, and in the study of the effect of interference PU. These studies require the use of a number of processing methods. These include: 1) The method of delivery of the high-pressure body of jets model engines on the sensitive part of the aerodynamic balance. 2) The method of estimate accuracy and reliability of measurement thrust generated by the jet device. 3) The method of implementation of the simulator SU in modeling the external contours of the nacelle, and the conditions at the inlet and outlet. 4) The method of determining the traction simulator PU. 5) The method of determining the interference effect from the work of power unit on the ADC of model. 6) The method of producing hot jets of jet engines. The paper examines implemented in ITAM methodology applied to testing in a supersonic wind tunnel T-313.

Modelling and control of a nonlinear magnetostrictive actuator system

NASA Astrophysics Data System (ADS)

Ramli, M. H. M.; Majeed, A. P. P. Abdul; Anuar, M. A. M.; Mohamed, Z.

2018-04-01

This paper explores the implementation of a feedforward control method to a nonlinear control system, in particular, Magnetostrictive Actuators (MA) that has excellent properties of energy conversion between the mechanical and magnetic form through magnetostriction effects which could be used in actuating and sensing application. MA is known to exhibit hysteresis behaviour and it is rate dependent (the level of hysteresis depends closely on the rate of input excitation frequency). This is, nonetheless, an undesirable behaviour and has to be eliminated in realising high precision application. The MA is modelled by a phenomenological modelling approach via Prandtl-Ishlinskii (P-I) operator to characterise the hysteresis nonlinearities. A feedforward control strategy is designed and implemented to linearize and eliminate the hysteresis by model inversion. The results show that the P-I operator has the capability to model the hysteretic nonlinearity of MA with an acceptable accuracy. Furthermore, the proposed control scheme has demonstrated to be effective in providing superior trajectory tracking.

Implementing a Complex Intervention to Support Personal Recovery: A Qualitative Study Nested within a Cluster Randomised Controlled Trial

PubMed Central

Leamy, Mary; Clarke, Eleanor; Le Boutillier, Clair; Bird, Victoria; Janosik, Monika; Sabas, Kai; Riley, Genevieve; Williams, Julie; Slade, Mike

2014-01-01

Objective To investigate staff and trainer perspectives on the barriers and facilitators to implementing a complex intervention to help staff support the recovery of service users with a primary diagnosis of psychosis in community mental health teams. Design Process evaluation nested within a cluster randomised controlled trial (RCT). Participants 28 interviews with mental health care staff, 3 interviews with trainers, 4 focus groups with intervention teams and 28 written trainer reports. Setting 14 community-based mental health teams in two UK sites (one urban, one semi-rural) who received the intervention. Results The factors influencing the implementation of the intervention can be organised under two over-arching themes: Organisational readiness for change and Training effectiveness. Organisational readiness for change comprised three sub-themes: NHS Trust readiness; Team readiness; and Practitioner readiness. Training effectiveness comprised three sub-themes: Engagement strategies; Delivery style and Modelling recovery principles. Conclusions Three findings can inform future implementation and evaluation of complex interventions. First, the underlying intervention model predicted that three areas would be important for changing practice: staff skill development; intention to implement; and actual implementation behaviour. This study highlighted the importance of targeting the transition from practitioners' intent to implement to actual implementation behaviour, using experiential learning and target setting. Second, practitioners make inferences about organisational commitment by observing the allocation of resources, Knowledge Performance Indicators and service evaluation outcome measures. These need to be aligned with recovery values, principles and practice. Finally, we recommend the use of organisational readiness tools as an inclusion criteria for selecting both organisations and teams in cluster RCTs. We believe this would maximise the likelihood of adequate implementation and hence reduce waste in research expenditure. Trial Registration Controlled-Trials.com ISRCTN02507940 PMID:24875748

Implementing a complex intervention to support personal recovery: a qualitative study nested within a cluster randomised controlled trial.

PubMed

Leamy, Mary; Clarke, Eleanor; Le Boutillier, Clair; Bird, Victoria; Janosik, Monika; Sabas, Kai; Riley, Genevieve; Williams, Julie; Slade, Mike

2014-01-01

To investigate staff and trainer perspectives on the barriers and facilitators to implementing a complex intervention to help staff support the recovery of service users with a primary diagnosis of psychosis in community mental health teams. Process evaluation nested within a cluster randomised controlled trial (RCT). 28 interviews with mental health care staff, 3 interviews with trainers, 4 focus groups with intervention teams and 28 written trainer reports. 14 community-based mental health teams in two UK sites (one urban, one semi-rural) who received the intervention. The factors influencing the implementation of the intervention can be organised under two over-arching themes: Organisational readiness for change and Training effectiveness. Organisational readiness for change comprised three sub-themes: NHS Trust readiness; Team readiness; and Practitioner readiness. Training effectiveness comprised three sub-themes: Engagement strategies; Delivery style and Modelling recovery principles. Three findings can inform future implementation and evaluation of complex interventions. First, the underlying intervention model predicted that three areas would be important for changing practice: staff skill development; intention to implement; and actual implementation behaviour. This study highlighted the importance of targeting the transition from practitioners' intent to implement to actual implementation behaviour, using experiential learning and target setting. Second, practitioners make inferences about organisational commitment by observing the allocation of resources, Knowledge Performance Indicators and service evaluation outcome measures. These need to be aligned with recovery values, principles and practice. Finally, we recommend the use of organisational readiness tools as an inclusion criteria for selecting both organisations and teams in cluster RCTs. We believe this would maximise the likelihood of adequate implementation and hence reduce waste in research expenditure. Controlled-Trials.com ISRCTN02507940.

Circuit model for single-energy-level trap centers in FETs

NASA Astrophysics Data System (ADS)

Albahrani, Sayed Ali; Parker, Anthony; Heimlich, Michael

2016-12-01

A circuit implementation of a single-energy-level trap center in an FET is presented. When included in transistor models it explains the temperature-potential-dependent time constants seen in the circuit manifestations of charge trapping, being gate lag and drain overshoot. The implementation is suitable for both time-domain and harmonic-balance simulations. The proposed model is based on the Shockley-Read-Hall (SRH) statistics of the trapping process. The results of isothermal pulse measurements performed on a GaN HEMT are presented. These measurement allow characterizing charge trapping in isolation from the effect of self-heating. These results are used to obtain the parameters of the proposed model.

A matlab framework for estimation of NLME models using stochastic differential equations: applications for estimation of insulin secretion rates.

PubMed

Mortensen, Stig B; Klim, Søren; Dammann, Bernd; Kristensen, Niels R; Madsen, Henrik; Overgaard, Rune V

2007-10-01

The non-linear mixed-effects model based on stochastic differential equations (SDEs) provides an attractive residual error model, that is able to handle serially correlated residuals typically arising from structural mis-specification of the true underlying model. The use of SDEs also opens up for new tools for model development and easily allows for tracking of unknown inputs and parameters over time. An algorithm for maximum likelihood estimation of the model has earlier been proposed, and the present paper presents the first general implementation of this algorithm. The implementation is done in Matlab and also demonstrates the use of parallel computing for improved estimation times. The use of the implementation is illustrated by two examples of application which focus on the ability of the model to estimate unknown inputs facilitated by the extension to SDEs. The first application is a deconvolution-type estimation of the insulin secretion rate based on a linear two-compartment model for C-peptide measurements. In the second application the model is extended to also give an estimate of the time varying liver extraction based on both C-peptide and insulin measurements.

[The institutionalization of health impact assessment in Quebec: a feasible model in Spain?].

PubMed

Boldo, Elena; St-Pierre, Louise; Mendell, Anika; Benoit, François

2011-01-01

In Canada, the province of Quebec has institutionalized Health Impact Assessment (HIA) by including it in its Public Health Act (PHA). In Spain, the Ministry of Health, Social Policy and Equality is in the process of reforming its PHA, and plans to include HIA in this legislation. This study reviews the factors that have led to the effective implementation of HIA in Quebec and discusses the possible applications of the Quebec model in the Spanish context. Information was gathered through interviews conducted in various public health institutions in Quebec. The Quebec model was compared to the Spanish situation, to identify potential needs associated with the practice of HIA in Spain. In Quebec, public health institutions have developed a strategy for effective implementation of HIA. This strategy is based on several measures: creation of a network of ministerial representatives, development of an internal procedure at the Ministry of Health and Social Services to respond to requests, preparation of methodological guidelines, establishment of a research program, strengthening of knowledge transfer mechanisms, and establishment of communication and participation tools. HIA legislation does not guarantee its successful implementation. The institutionalization of HIA requires establishing a well-designed structure, as well as the allocation of adequate resources. The Quebec experience offers one model of HIA implementation that could be adapted to our country, taking into account elements of Spanish idiosyncrasies. Copyright © 2011 SESPAS. Published by Elsevier Espana. All rights reserved.

Modular Bundle Adjustment for Photogrammetric Computations

NASA Astrophysics Data System (ADS)

Börlin, N.; Murtiyoso, A.; Grussenmeyer, P.; Menna, F.; Nocerino, E.

2018-05-01

In this paper we investigate how the residuals in bundle adjustment can be split into a composition of simple functions. According to the chain rule, the Jacobian (linearisation) of the residual can be formed as a product of the Jacobians of the individual steps. When implemented, this enables a modularisation of the computation of the bundle adjustment residuals and Jacobians where each component has limited responsibility. This enables simple replacement of components to e.g. implement different projection or rotation models by exchanging a module. The technique has previously been used to implement bundle adjustment in the open-source package DBAT (Börlin and Grussenmeyer, 2013) based on the Photogrammetric and Computer Vision interpretations of Brown (1971) lens distortion model. In this paper, we applied the technique to investigate how affine distortions can be used to model the projection of a tilt-shift lens. Two extended distortion models were implemented to test the hypothesis that the ordering of the affine and lens distortion steps can be changed to reduce the size of the residuals of a tilt-shift lens calibration. Results on synthetic data confirm that the ordering of the affine and lens distortion steps matter and is detectable by DBAT. However, when applied to a real camera calibration data set of a tilt-shift lens, no difference between the extended models was seen. This suggests that the tested hypothesis is false and that other effects need to be modelled to better explain the projection. The relatively low implementation effort that was needed to generate the models suggest that the technique can be used to investigate other novel projection models in photogrammetry, including modelling changes in the 3D geometry to better understand the tilt-shift lens.

Effective Implementation of Collaborative Care for Depression: What is Needed?

PubMed Central

Whitebird, Robin R.; Solberg, Leif I.; Jaeckels, Nancy A.; Pietruszewski, Pamela B.; Hadzic, Senka; Unützer, Jürgen; Ohnsorg, Kris A.; Rossom, Rebecca C.; Beck, Arne; Joslyn, Ken; Rubenstein, Lisa V.

2014-01-01

Objective To identify the care model factors that were key for successful implementation of collaborative depression care in a statewide Minnesota primary care initiative. Study Design We used a mixed-methods design incorporating both qualitative data from clinic site visits and quantitative measures of patient activation and 6-month remission rates. Methods Care model factors identified from the site visits were tested for association with rates of activation into the program and remission rates. Results Nine factors were identified as important for successful implementation of collaborative care by the consultants who had trained and interviewed participating clinic teams. Factors correlated with higher patient activation rates were: strong leadership support (0.63), well-defined and implemented care manager roles (0.62), a strong primary care physician champion (0.60), and an on-site and accessible care manager (0.59). However, remission rates at six months were correlated with: an engaged psychiatrist (0.62), not seeing operating costs as a barrier to participation (0.56), and face-to-face communication (warm handoffs) between the care-manager and primary care physician for new patients (0.54). Conclusions Care model factors most important for successful program implementation differ for patient activation into the program versus remission at six months. Knowing which implementation factors are most important for successful implementation will be useful for those interested in adopting this evidence-based approach to improve primary care for patients with depression. PMID:25365745

The layered learning practice model: Lessons learned from implementation.

PubMed

Pinelli, Nicole R; Eckel, Stephen F; Vu, Maihan B; Weinberger, Morris; Roth, Mary T

2016-12-15

Pharmacists' views about the implementation, benefits, and attributes of a layered learning practice model (LLPM) were examined. Eligible and willing attending pharmacists at the same institution that had implemented an LLPM completed an individual, 90-minute, face-to-face interview using a structured interview guide developed by the interdisciplinary study team. Interviews were digitally recorded and transcribed verbatim without personal identifiers. Three researchers independently reviewed preliminary findings to reach consensus on emerging themes. In cases where thematic coding diverged, the researchers discussed their analyses until consensus was reached. Of 25 eligible attending pharmacists, 24 (96%) agreed to participate. The sample was drawn from both acute and ambulatory care practice settings and all clinical specialty areas. Attending pharmacists described several experiences implementing the LLPM and perceived benefits of the model. Attending pharmacists identified seven key attributes for hospital and health-system pharmacy departments that are needed to design and implement effective LLPMs: shared leadership, a systematic approach, good communication, flexibility for attending pharmacists, adequate resources, commitment, and evaluation. Participants also highlighted several potential challenges and obstacles for organizations to consider before implementing an LLPM. According to attending pharmacists involved in an LLPM, successful implementation of an LLPM required shared leadership, a systematic approach, communication, flexibility, resources, commitment, and a process for evaluation. Copyright © 2016 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

Dynamic Modeling and Soil Mechanics for Path Planning of the Mars Exploration Rovers

NASA Technical Reports Server (NTRS)

Trease, Brian; Arvidson, Raymond; Lindemann, Randel; Bennett, Keith; Zhou, Feng; Iagnemma, Karl; Senatore, Carmine; Van Dyke, Lauren

2011-01-01

To help minimize risk of high sinkage and slippage during drives and to better understand soil properties and rover terramechanics from drive data, a multidisciplinary team was formed under the Mars Exploration Rover (MER) project to develop and utilize dynamic computer-based models for rover drives over realistic terrains. The resulting tool, named ARTEMIS (Adams-based Rover Terramechanics and Mobility Interaction Simulator), consists of the dynamic model, a library of terramechanics subroutines, and the high-resolution digital elevation maps of the Mars surface. A 200-element model of the rovers was developed and validated for drop tests before launch, using MSC-Adams dynamic modeling software. Newly modeled terrain-rover interactions include the rut-formation effect of deformable soils, using the classical Bekker-Wong implementation of compaction resistances and bull-dozing effects. The paper presents the details and implementation of the model with two case studies based on actual MER telemetry data. In its final form, ARTEMIS will be used in a predictive manner to assess terrain navigability and will become part of the overall effort in path planning and navigation for both Martian and lunar rovers.

Implementation of a plasma-neutral model in NIMROD

NASA Astrophysics Data System (ADS)

Taheri, S.; Shumlak, U.; King, J. R.

2016-10-01

Interaction between plasma fluid and neutral species is of great importance in the edge region of magnetically confined fusion plasmas. The presence of neutrals can have beneficial effects such as fueling burning plasmas and quenching the disruptions in tokamaks, as well as deleterious effects like depositing high energy particles on the vessel wall. The behavior of edge plasmas in magnetically confined systems has been investigated using computational approaches that utilize the fluid description for the plasma and Monte Carlo transport for neutrals. In this research a reacting plasma-neutral model is implemented in NIMROD to study the interaction between plasma and neutral fluids. This model, developed by E. T. Meier and U. Shumlak, combines a single-fluid magnetohydrodynamic (MHD) plasma model with a gas dynamic neutral fluid model which accounts for electron-impact ionization, radiative recombination, and resonant charge exchange. Incorporating this model into NIMROD allows the study of the interaction between neutrals and plasma in a variety of plasma science problems. An accelerated plasma moving through a neutral gas background in a coaxial electrode configuration is modeled, and the results are compared with previous calculations from the HiFi code.

Modeling Microgravity Induced Fluid Redistribution Autoregulatory and Hydrostatic Enhancements

NASA Technical Reports Server (NTRS)

Myers, J. G.; Werner, C.; Nelson, E. S.; Feola, A.; Raykin, J.; Samuels, B.; Ethier, C. R.

2017-01-01

Space flight induces a marked cephalad (headward) redistribution of blood and interstitial fluid potentially resulting in a loss of venous tone and reduction in heart muscle efficiency upon introduction into the microgravity environment. Using various types of computational models, we are investigating how this fluid redistribution may induce intracranial pressure changes, relevant to reported reductions in astronaut visual acuity, part of the Visual Impairment and Intracranial Pressure (VIIP) syndrome. Methods: We utilize a lumped parameter cardiovascular system (CVS) model, augmented by compartments comprising the cerebral spinal fluid (CSF) space, as the primary tool to describe how microgravity, and the associated lack of hydrostatic gradient, impacts fluid redistribution. Models of ocular fluid pressures and biomechanics then accept the output of the above model as boundary condition input to allow more detailed, local analysis (see IWS Abstract by Ethier et al.). Recently, we enhanced the capabilities our previously reported CVS model through the implementation of robust autoregulatory mechanisms and a more fundamental approach to the implementation of hydrostatic mechanisms. Modifying the approach of Blanco et al., we implemented auto-regulation in a quasi-static manner, as an averaged effect across the span of one heartbeat. This approach reduced the higher frequency perturbations from the regulatory mechanism and was intended to allow longer simulation times (days) than models that implement within-beat regulatory mechanisms (minutes). A more fundamental approach to hydrostatics was implemented by a quasi-1D approach, in which compartment descriptions include compartment length, orientation and relative position, allowed for modeling of body orientation, relative body positioning and, in the future, alternative gravity environments. At this time the inclusion of hydrostatic mechanisms supplies additional capabilities to train and validate the CVS model with terrestrial data. Results and Conclusions: With the implementation of auto-regulation and hydrostatic modeling capabilities, the model performs as expected in the maintaining the CA (Central Artery) compartment pressure when simulating orientations ranging from supine to standing. The model appears to generally overpredict heart rate and thus cardiac output, possibly indicating sensitivity to the nominal heart rate, which is used as an initial set point of the regulation mechanisms. Despite this sensitivity, the model performs consistently for many hours of simulation time, indicating the success of our quasi-static implementation approach.

Evaluation of a Theory of Instructional Sequences for Physics Instruction

NASA Astrophysics Data System (ADS)

Wackermann, Rainer; Trendel, Georg; Fischer, Hans E.

2010-05-01

The background of the study is the theory of basis models of teaching and learning, a comprehensive set of models of learning processes which includes, for example, learning through experience and problem-solving. The combined use of different models of learning processes has not been fully investigated and it is frequently not clear under what circumstances a particular model should be used by teachers. In contrast, the theory under investigation here gives guidelines for choosing a particular model and provides instructional sequences for each model. The aim is to investigate the implementation of the theory applied to physics instruction and to show if possible effects for the students may be attributed to the use of the theory. Therefore, a theory-oriented education programme for 18 physics teachers was developed and implemented in the 2005/06 school year. The main features of the intervention consisted of coaching physics lessons and video analysis according to the theory. The study follows a pre-treatment-post design with non-equivalent control group. Findings of repeated-measures ANOVAs show large effects for teachers' subjective beliefs, large effects for classroom actions, and small to medium effects for student outcomes such as perceived instructional quality and student emotions. The teachers/classes that applied the theory especially well according to video analysis showed the larger effects. The results showed that differentiating between different models of learning processes improves physics instruction. Effects can be followed through to student outcomes. The education programme effect was clearer for classroom actions and students' outcomes than for teachers' beliefs.

Boltzmann sampling for an XY model using a non-degenerate optical parametric oscillator network

NASA Astrophysics Data System (ADS)

Takeda, Y.; Tamate, S.; Yamamoto, Y.; Takesue, H.; Inagaki, T.; Utsunomiya, S.

2018-01-01

We present an experimental scheme of implementing multiple spins in a classical XY model using a non-degenerate optical parametric oscillator (NOPO) network. We built an NOPO network to simulate a one-dimensional XY Hamiltonian with 5000 spins and externally controllable effective temperatures. The XY spin variables in our scheme are mapped onto the phases of multiple NOPO pulses in a single ring cavity and interactions between XY spins are implemented by mutual injections between NOPOs. We show the steady-state distribution of optical phases of such NOPO pulses is equivalent to the Boltzmann distribution of the corresponding XY model. Estimated effective temperatures converged to the setting values, and the estimated temperatures and the mean energy exhibited good agreement with the numerical simulations of the Langevin dynamics of NOPO phases.

Fast and robust control of nanopositioning systems: Performance limits enabled by field programmable analog arrays.

PubMed

Baranwal, Mayank; Gorugantu, Ram S; Salapaka, Srinivasa M

2015-08-01

This paper aims at control design and its implementation for robust high-bandwidth precision (nanoscale) positioning systems. Even though modern model-based control theoretic designs for robust broadband high-resolution positioning have enabled orders of magnitude improvement in performance over existing model independent designs, their scope is severely limited by the inefficacies of digital implementation of the control designs. High-order control laws that result from model-based designs typically have to be approximated with reduced-order systems to facilitate digital implementation. Digital systems, even those that have very high sampling frequencies, provide low effective control bandwidth when implementing high-order systems. In this context, field programmable analog arrays (FPAAs) provide a good alternative to the use of digital-logic based processors since they enable very high implementation speeds, moreover with cheaper resources. The superior flexibility of digital systems in terms of the implementable mathematical and logical functions does not give significant edge over FPAAs when implementing linear dynamic control laws. In this paper, we pose the control design objectives for positioning systems in different configurations as optimal control problems and demonstrate significant improvements in performance when the resulting control laws are applied using FPAAs as opposed to their digital counterparts. An improvement of over 200% in positioning bandwidth is achieved over an earlier digital signal processor (DSP) based implementation for the same system and same control design, even when for the DSP-based system, the sampling frequency is about 100 times the desired positioning bandwidth.

Improving police response to persons with mental illness: A Multi-level conceptualization of CIT

PubMed Central

Watson, Amy C; Morabito, Melissa Schaefer; Draine, Jeffrey; Ottati, Victor

2009-01-01

The large numbers of people with mental illness in jails and prisons has fueled policy concern in all domains of the justice system. This includes police practice, where initial decisions to involve persons in the justice system or divert them to mental health services are made. One approach to focus police response in these situations is the implementation of Crisis Intervention Teams (CIT). The CIT model is being implemented widely, with over 400 programs currently operating. While the limited evidence on CIT effectiveness is promising, research on CIT is limited in scope and conceptualization-much of it focusing on officer characteristics and training. In this paper we review the literature on CIT and present a conceptual model of police response to persons with mental illness that accounts for officer, organizational, mental health system and community level factors likely to influence implementation and effectiveness of CIT and other approaches. By moving our conceptualizations and research in this area to new levels of specificity, we may contribute more to effectiveness research on these interventions. PMID:18632154

A procedural model for planning and evaluating behavioral interventions.

PubMed

Hyner, G C

2005-01-01

A model for planning, implementing and evaluating health behavior change strategies is proposed. Variables are presented which can be used in the model or serve as examples for how the model is utilized once a theory of health behavior is adopted. Examples of three innovative strategies designed to influence behavior change are presented so that the proposed model can be modified for use following comprehensive screening and baseline measurements. Three measurement priorities: clients, methods and agency are subjected to three phases of assessment: goals, implementation and effects. Lifestyles account for the majority of variability in quality-of-life and premature morbidity and mortality. Interventions designed to influence healthy behavior changes must be driven by theory and carefully planned and evaluated. The proposed model is offered as a useful tool for the behavior change strategist.

Bridging the gap between the science and service of HIV prevention: transferring effective research-based HIV prevention interventions to community AIDS service providers.

PubMed Central

Kelly, J A; Somlai, A M; DiFranceisco, W J; Otto-Salaj, L L; McAuliffe, T L; Hackl, K L; Heckman, T G; Holtgrave, D R; Rompa, D

2000-01-01

OBJECTIVES: AIDS service organizations (ASOs) rarely have access to the information needed to implement research-based HIV prevention interventions for their clients. We compared the effectiveness of 3 dissemination strategies for transferring HIV prevention models from the research arena to community providers of HIV prevention services. METHODS: Interviews were conducted with the directors of 74 ASOs to assess current HIV prevention services. ASOs were randomized to programs that provided (1) technical assistance manuals describing how to implement research-based HIV prevention interventions, (2) manuals plus a staff training workshop on how to conduct the implementation, or (3) manuals, the training workshop, and follow-up telephone consultation calls. Follow-up interviews determined whether the intervention model had been adopted. RESULTS: The dissemination package that provided ASOs with implementation manuals, staff training workshops, and follow-up consultation resulted in more frequent adoption and use of the research-based HIV prevention intervention for gay men, women, and other client populations. CONCLUSIONS: Strategies are needed to quickly transfer research-based HIV prevention methods to community providers of HIV prevention services. Active collaboration between researchers and service agencies results in more successful program adoption than distribution of implementation packages alone. PMID:10897186

Operational research as implementation science: definitions, challenges and research priorities.

PubMed

Monks, Thomas

2016-06-06

Operational research (OR) is the discipline of using models, either quantitative or qualitative, to aid decision-making in complex implementation problems. The methods of OR have been used in healthcare since the 1950s in diverse areas such as emergency medicine and the interface between acute and community care; hospital performance; scheduling and management of patient home visits; scheduling of patient appointments; and many other complex implementation problems of an operational or logistical nature. To date, there has been limited debate about the role that operational research should take within implementation science. I detail three such roles for OR all grounded in upfront system thinking: structuring implementation problems, prospective evaluation of improvement interventions, and strategic reconfiguration. Case studies from mental health, emergency medicine, and stroke care are used to illustrate each role. I then describe the challenges for applied OR within implementation science at the organisational, interventional, and disciplinary levels. Two key challenges include the difficulty faced in achieving a position of mutual understanding between implementation scientists and research users and a stark lack of evaluation of OR interventions. To address these challenges, I propose a research agenda to evaluate applied OR through the lens of implementation science, the liberation of OR from the specialist research and consultancy environment, and co-design of models with service users. Operational research is a mature discipline that has developed a significant volume of methodology to improve health services. OR offers implementation scientists the opportunity to do more upfront system thinking before committing resources or taking risks. OR has three roles within implementation science: structuring an implementation problem, prospective evaluation of implementation problems, and a tool for strategic reconfiguration of health services. Challenges facing OR as implementation science include limited evidence and evaluation of impact, limited service user involvement, a lack of managerial awareness, effective communication between research users and OR modellers, and availability of healthcare data. To progress the science, a focus is needed in three key areas: evaluation of OR interventions, embedding the knowledge of OR in health services, and educating OR modellers about the aims and benefits of service user involvement.

A Grounded Theory of Behavior Management Strategy Selection, Implementation, and Perceived Effectiveness Reported by First-Year Elementary Teachers

ERIC Educational Resources Information Center

Smart, Julie B.; Igo, L. Brent

2010-01-01

In this grounded theory study, 19 teachers were interviewed and then, in constant comparative fashion, the interview data were analyzed. The theoretical model that emerged from the data describes novice teachers' tendencies to select and implement differing strategies related to the severity of student behavior. When confronting mild student…

Change Management Model for Implementing an Effective First-Year Experience Program in the Community College Setting

ERIC Educational Resources Information Center

Tucker, Joy C.

2015-01-01

This study provides evidence that systematic management of change can facilitate the implementation of first-year experience programming that leads to improved results in retention and student success for community college students. The study includes four major themes: (a) first-year experience, (b) change management, (c) change leadership, and…

Issues and Prospects of Effetive Implementation of New Secondary School Curriculum in Nigeria

ERIC Educational Resources Information Center

Ahmadi, Ali A.; Lukman, Ajibola A.

2015-01-01

This paper digs into the issues surrounding effective implementation of new secondary school curriculum in Nigeria. This is based on the feeling that 21st century education is characterized with a dramatic technological revolution. The paper therefore portrays education in the 21st century as a total departure from the factory-model education of…

Using Self-Regulation as a Framework for Implementing Strategy Instruction to Foster Reading Comprehension

ERIC Educational Resources Information Center

Souvignier, Elmar; Mokhlesgerami, Judith

2006-01-01

Research on the implementation of reading strategies suggests that self-regulated learning might be a powerful framework to optimize effects on reading comprehension. Models of self-regulation emphasize that the teaching of strategy knowledge (Strat) has to be complemented by offering skills of cognitive (CSR) and motivational (MSR) aspects of…

Leadership, Control, Communication and Comprehension: Key Factors in Successful Implementation of SBDM.

ERIC Educational Resources Information Center

Etheridge, Carol Plata; And Others

This study examines the effects of principal leadership styles on the development of the working styles of seven local school councils in Memphis (Tennessee) during their first 15 months of operation. The successful implementation of a school-based decision making (SBDM) management model depends upon the ability of the local school council to…

National Assessment of School Resource Officer Programs. Final Project Report. Document Number 209273

ERIC Educational Resources Information Center

Finn, Peter; McDevitt, Jack

2005-01-01

There has been a growing interest in placing sworn police officers in schools as SROs to improve school safety. The purpose of the National Assessment was to identify what program "models" have been implemented, how programs have been implemented, and what the programs' possible effects may be. To obtain this information, Abt Associates conducted…

Impact of Change Management on Employee Behavior in a University Administrative Office

ERIC Educational Resources Information Center

Turner, Kendra

2017-01-01

This qualitative case study focused on the effect of a system implementation upgrade on employees' job performance within a central administration department of a major research university in the Southern United States. Review of literature revealed a lack of a specific model or process for system implementation upgrades and its impact on…

What Are the Effects of Implementing Learning-Focused Strategies in Biology and Physical Science Classrooms?

ERIC Educational Resources Information Center

Simmons, Robin

2013-01-01

The objective of this study was to determine if Learning-Focused Strategies (LFS) implemented in high school science courses would affect student achievement and the pass rate of biology and physical science Common District Assessments (CDAs). The LFS, specific teaching strategies contained in the Learning-Focused Strategies Model (LFSM) Program…

Principal Leadership and School Culture with a School-Wide Implementation of Professional Crisis Management: A Redemptive v. Punitive Model

ERIC Educational Resources Information Center

Adams, Mark Thomas

2013-01-01

This qualitative study investigated the nature of the relationship between principal leadership and school culture within a school-wide implementation of Professional Crisis Management (PCM). PCM is a comprehensive and fully integrated system designed to manage crisis situations effectively, safely, and with dignity. While designed primarily to…

Evaluating and Celebrating PBIS Success: Development and Implementation of Ohio's PBIS Recognition System

ERIC Educational Resources Information Center

Noltemeyer, Amity; Petrasek, Michael; Stine, Karen; Palmer, Katelyn; Meehan, Cricket; Jordan, Emily

2018-01-01

With the increasing use of Positive Behavioral Interventions and Supports (PBIS) nationally, several states have developed systems to recognize exemplar schools that are implementing PBIS with fidelity. These systems serve the dual purpose of identifying model PBIS schools for other schools to emulate while also reinforcing schools' effective PBIS…

Modelling the ability of source control measures to reduce inundation risk in a community-scale urban drainage system

NASA Astrophysics Data System (ADS)

Mei, Chao; Liu, Jiahong; Wang, Hao; Shao, Weiwei; Xia, Lin; Xiang, Chenyao; Zhou, Jinjun

2018-06-01

Urban inundation is a serious challenge that increasingly confronts the residents of many cities, as well as policymakers, in the context of rapid urbanization and climate change worldwide. In recent years, source control measures (SCMs) such as green roofs, permeable pavements, rain gardens, and vegetative swales have been implemented to address flood inundation in urban settings, and proven to be cost-effective and sustainable. In order to investigate the ability of SCMs on reducing inundation in a community-scale urban drainage system, a dynamic rainfall-runoff model of a community-scale urban drainage system was developed based on SWMM. SCMs implementing scenarios were modelled under six design rainstorm events with return period ranging from 2 to 100 years, and inundation risks of the drainage system were evaluated before and after the proposed implementation of SCMs, with a risk-evaluation method based on SWMM and analytic hierarchy process (AHP). Results show that, SCMs implementation resulting in significantly reduction of hydrological indexes that related to inundation risks, range of reduction rates of average flow, peak flow, and total flooded volume of the drainage system were 28.1-72.1, 19.0-69.2, and 33.9-56.0 %, respectively, under six rainfall events with return periods ranging from 2 to 100 years. Corresponding, the inundation risks of the drainage system were significantly reduced after SCMs implementation, the risk values falling below 0.2 when the rainfall return period was less than 10 years. Simulation results confirm the effectiveness of SCMs on mitigating inundation, and quantified the potential of SCMs on reducing inundation risks in the urban drainage system, which provided scientific references for implementing SCMs for inundation control of the study area.

Achieving development goals for HIV, tuberculosis and malaria in sub-Saharan Africa through integrated antenatal care: barriers and challenges.

PubMed

Fowkes, Freya J I; Draper, Bridget L; Hellard, Margaret; Stoové, Mark

2016-12-12

The global health community is currently transitioning from the Millennium Development Goals (MDGs) to the Sustainable Development Goals (SDGs). Unfortunately, progress towards maternal, newborn and infant health MDGs has lagged significantly behind other key health goals, demanding a renewed global effort in this key health area. The World Health Organization and other institutions heralded integrated antenatal care (ANC) as the best way to address the inter-related health issues of HIV, tuberculosis (TB) and malaria in the high risk groups of pregnant women and infants; integrated ANC services also offer a mechanism to address slow progress towards improved maternal health. There is remarkably limited evidence on best practice approaches of program implementation, acceptability and effectiveness for integrated ANC models targeting multiple diseases. Here, we discuss current integrated ANC global guidelines and the limited literature describing integrated ANC implementation and evidence for their role in addressing HIV, malaria and TB during pregnancy in sub-Saharan Africa. We highlight the paucity of data on the effectiveness of integrated ANC models and identify significant structural barriers in the health system (funding, infrastructure, distribution, human resources), the adoption system (limited buy-in from implementers, leadership, governance) and, in the broader context, patient-centred barriers (fear, stigma, personal burdens) and barriers in funding structures. We highlight recommendations for action and discuss avenues for the global health community to develop systems to integrate multiple disease programs into ANC models of care that better address these three priority infectious diseases. With the current transition to the SDGs and concerns regarding the failure to meet maternal health MDGs, the global health community, researchers, implementers and funding bodies must work together to ensure the establishment of quality operational and implementation research to inform integrated ANC models. It is imperative that the global health community engages in a timely discussion about such implementation innovations and instigates appropriate actions to ensure advances in maternal health are sufficient to meet applicable SDGs.

Evaluating an insurance-sponsored weight management program with the RE-AIM Model, West Virginia, 2004-2008.

PubMed

Abildso, Christiaan G; Zizzi, Sam J; Reger-Nash, Bill

2010-05-01

Evaluations of weight management programs in real-world settings are lacking. The RE-AIM model (reach, effectiveness, adoption, implementation, maintenance) was developed to address this deficiency. Our primary objective was to evaluate a 12-week insurance-sponsored weight management intervention by using the RE-AIM model, including short-term and long-term individual outcomes and setting-level implementation factors. Our secondary objective was to critique the RE-AIM model and its revised calculation methods. We created operational definitions for components of the 5 RE-AIM indices and used standardized effect size values from various statistical procedures to measure multiple components or outcomes within each index. We used chi(2) analysis to compare categorical variables and repeated-measures analysis of variance to assess the magnitude of outcome changes over time. On the basis of data for 1,952 participants and surveys completed by administrators at 23 sites, RE-AIM indices ranging from 0 to 100 revealed low program reach and adoption (5.4 and 8.8, respectively), moderate effectiveness (43.8), high implementation (91.4), low to moderate individual maintenance (21.2), and moderate to high site maintenance (77.8). Median (interquartile range) weight loss was 13 lb (6.5-21.4 lb) among participants who completed phase I (12 weeks; 76.5%) and 15 lb (6.1-30.3 lb) among those who completed phase II (1 year; 45.7%). This program had a significant, positive effect on participants and has been sustainable but needs to be expanded for more public health benefit. The RE-AIM model provided a useful framework to determine program strengths and weaknesses and to present them to the insurance agency and public health decision makers.

A Guide to Computer Simulations of Three Adaptive Instructional Models for the Advanced Instructional System Phases II and III. Final Report.

ERIC Educational Resources Information Center

Hansen, Duncan N.; And Others

Computer simulations of three individualized adaptive instructional models (AIM) were undertaken to determine if these models function as prescribed in Air Force technical training programs. In addition, the project sought to develop a user's guide for effective understanding of adaptive models during field implementation. Successful simulations…

Using Data-Dependent Priors to Mitigate Small Sample Bias in Latent Growth Models: A Discussion and Illustration Using M"plus"

ERIC Educational Resources Information Center

McNeish, Daniel M.

2016-01-01

Mixed-effects models (MEMs) and latent growth models (LGMs) are often considered interchangeable save the discipline-specific nomenclature. Software implementations of these models, however, are not interchangeable, particularly with small sample sizes. Restricted maximum likelihood estimation that mitigates small sample bias in MEMs has not been…

Effect of Bayesian Student Modeling on Academic Achievement in Foreign Language Teaching (University Level English Preparatory School Example)

ERIC Educational Resources Information Center

Aslan, Burak Galip; Öztürk, Özlem; Inceoglu, Mustafa Murat

2014-01-01

Considering the increasing importance of adaptive approaches in CALL systems, this study implemented a machine learning based student modeling middleware with Bayesian networks. The profiling approach of the student modeling system is based on Felder and Silverman's Learning Styles Model and Felder and Soloman's Index of Learning Styles…

The Spatially-Distributed Agroecosystem-Watershed (Ages-W) Hydrologic/Water Quality (H/WQ) model for assessment of conservation effects

USDA-ARS?s Scientific Manuscript database

AgroEcoSystem-Watershed (AgES-W) is a modular, Java-based spatially distributed model which implements hydrologic/water quality (H/WQ) simulation components under the Object Modeling System (OMS3) environmental modeling framework. AgES-W has recently been enhanced with the addition of nitrogen (N) a...

[Collaborative and stepped care for depression: Development of a model project within the Hamburg Network for Mental Health (psychenet.de)].

PubMed

Härter, Martin; Heddaeus, Daniela; Steinmann, Maya; Schreiber, Robert; Brettschneider, Christian; König, Hans-Helmut; Watzke, Birgit

2015-04-01

Depression is one of the most widespread mental disorders in Germany and causes a great suffering and involves high costs. Guidelines recommend stepped and interdisciplinary collaborative care models for the treatment of depression. Stepped and collaborative care models are described regarding their efficacy and cost-effectiveness. A current model project within the Hamburg Network for Mental Health exemplifies how guideline-based stepped diagnostics and treatment incorporating innovative low-intensity interventions are implemented by a large network of health care professionals and clinics. An accompanying evaluation using a cluster randomized controlled design assesses depressive symptom reduction and cost-effectiveness for patients treated within "Health Network Depression" ("Gesundheitsnetz Depression", a subproject of psychenet.de) compared with patients treated in routine care. Over 90 partners from inpatient and outpatient treatment have been successfully involved in recruiting over 600 patients within the stepped care model. Communication in the network was greatly facilitated by the use of an innovative online tool for the supply and reservation of treatment capacities. The participating professionals profit from the improved infrastructure and the implementation of advanced training and quality circle work. New treatment models can greatly improve the treatment of depression owing to their explicit reference to guidelines, the establishment of algorithms for diagnostics and treatment, the integration of practices and clinics, in addition to the implementation of low-intensity treatment alternatives. These models could promote the development of a disease management program for depression.

Models of user involvement in the mental health context: intentions and implementation challenges.

PubMed

Storm, Marianne; Edwards, Adrian

2013-09-01

Patient-centered care, shared decision-making, patient participation and the recovery model are models of care which incorporate user involvement and patients' perspectives on their treatment and care. The aims of this paper are to examine these different care models and their association with user involvement in the mental health context and discuss some of the challenges associated with their implementation. The sources used are health policy documents and published literature and research on patient-centered care, shared decision-making, patient participation and recovery. The policy documents advocate that mental health services should be oriented towards patients' or users' needs, participation and involvement. These policies also emphasize recovery and integration of people with mental disorders in the community. However, these collaborative care models have generally been subject to limited empirical research about effectiveness. There are also challenges to implementation of the models in inpatient care. What evidence there is indicates tensions between patients' and providers' perspectives on treatment and care. There are issues related to risk and the person's capacity for user involvement, and concerns about what role patients themselves wish to play in decision-making. Lack of competence and awareness among providers are further issues. Further work on training, evaluation and implementation is needed to ensure that inpatient mental health services are adapting user oriented care models at all levels of services.

From strategy to action: how top managers' support increases middle managers' commitment to innovation implementation in health care organizations.

PubMed

Birken, Sarah A; Lee, Shoou-Yih Daniel; Weiner, Bryan J; Chin, Marshall H; Chiu, Michael; Schaefer, Cynthia T

2015-01-01

Evidence suggests that top managers' support influences middle managers' commitment to innovation implementation. What remains unclear is how top managers' support influences middle managers' commitment. Results may be used to improve dismal rates of innovation implementation. We used a mixed-method sequential design. We surveyed (n = 120) and interviewed (n = 16) middle managers implementing an innovation intended to reduce health disparities in 120 U.S. health centers to assess whether top managers' support directly influences middle managers' commitment; by allocating implementation policies and practices; or by moderating the influence of implementation policies and practices on middle managers' commitment. For quantitative analyses, multivariable regression assessed direct and moderated effects; a mediation model assessed mediating effects. We used template analysis to assess qualitative data. We found support for each hypothesized relationship: Results suggest that top managers increase middle managers' commitment by directly conveying to middle managers that innovation implementation is an organizational priority (β = 0.37, p = .09); allocating implementation policies and practices including performance reviews, human resources, training, and funding (bootstrapped estimate for performance reviews = 0.09; 95% confidence interval [0.03, 0.17]); and encouraging middle managers to leverage performance reviews and human resources to achieve innovation implementation. Top managers can demonstrate their support directly by conveying to middle managers that an initiative is an organizational priority, allocating implementation policies and practices such as human resources and funding to facilitate innovation implementation, and convincing middle managers that innovation implementation is possible using available implementation policies and practices. Middle managers may maximize the influence of top managers' support on their commitment by communicating with top managers about what kind of support would be most effective in increasing their commitment to innovation implementation.

From Strategy to Action: How Top Managers’ Support Increases Middle Managers’ Commitment to Innovation Implementation in Healthcare Organizations

PubMed Central

Lee, Shoou-Yih Daniel; Weiner, Bryan J.; Chin, Marshall H.; Chiu, Michael; Schaefer, Cynthia T.

2014-01-01

Background Evidence suggests that top managers’ support influences middle managers’ commitment to innovation implementation. What remains unclear is how top managers’ support influences middle managers’ commitment. Results may be used to improve dismal rates of innovation implementation. Methods We used a mixed-method sequential design. We surveyed (n = 120) and interviewed (n = 16) middle managers implementing an innovation intended to reduce health disparities in 120 US health centers to assess whether top managers’ support influences middle managers’ commitment directly, by allocating implementation policies and practices, or by moderating the influence of implementation policies and practices on middle managers’ commitment. For quantitative analyses, multivariable regression assessed direct and moderated effects; a mediation model assessed mediating effects. We used template analysis to assess qualitative data. Findings We found support for each hypothesized relationship: Results suggest that top managers increase middle managers’ commitment by directly conveying to middle managers that innovation implementation is an organizational priority (β = 0.37, p = 0.09); allocating implementation policies and practices including performance reviews, human resources, training, and funding (bootstrapped estimate for performance reviews = 0.09; 95 percent CI: 0.03, 0.17); and encouraging middle managers to leverage performance reviews and human resources to achieve innovation implementation. Practice Implications Top managers can demonstrate their support by directly conveying to middle managers that an initiative is an organizational priority, allocating implementation policies and practices such as human resources and funding to facilitate innovation implementation, and convincing middle managers that innovation implementation is possible using available implementation policies and practices. Middle managers may maximize the influence of top managers’ support on their commitment by communicating with top managers about what kind of support would be most effective in increasing their commitment to innovation implementation. PMID:24566252

Can agent based models effectively reduce fisheries management implementation uncertainty?

NASA Astrophysics Data System (ADS)

Drexler, M.

2016-02-01

Uncertainty is an inherent feature of fisheries management. Implementation uncertainty remains a challenge to quantify often due to unintended responses of users to management interventions. This problem will continue to plague both single species and ecosystem based fisheries management advice unless the mechanisms driving these behaviors are properly understood. Equilibrium models, where each actor in the system is treated as uniform and predictable, are not well suited to forecast the unintended behaviors of individual fishers. Alternatively, agent based models (AMBs) can simulate the behaviors of each individual actor driven by differing incentives and constraints. This study evaluated the feasibility of using AMBs to capture macro scale behaviors of the US West Coast Groundfish fleet. Agent behavior was specified at the vessel level. Agents made daily fishing decisions using knowledge of their own cost structure, catch history, and the histories of catch and quota markets. By adding only a relatively small number of incentives, the model was able to reproduce highly realistic macro patterns of expected outcomes in response to management policies (catch restrictions, MPAs, ITQs) while preserving vessel heterogeneity. These simulations indicate that agent based modeling approaches hold much promise for simulating fisher behaviors and reducing implementation uncertainty. Additional processes affecting behavior, informed by surveys, are continually being added to the fisher behavior model. Further coupling of the fisher behavior model to a spatial ecosystem model will provide a fully integrated social, ecological, and economic model capable of performing management strategy evaluations to properly consider implementation uncertainty in fisheries management.

Stochastic differential equations in NONMEM: implementation, application, and comparison with ordinary differential equations.

PubMed

Tornøe, Christoffer W; Overgaard, Rune V; Agersø, Henrik; Nielsen, Henrik A; Madsen, Henrik; Jonsson, E Niclas

2005-08-01

The objective of the present analysis was to explore the use of stochastic differential equations (SDEs) in population pharmacokinetic/pharmacodynamic (PK/PD) modeling. The intra-individual variability in nonlinear mixed-effects models based on SDEs is decomposed into two types of noise: a measurement and a system noise term. The measurement noise represents uncorrelated error due to, for example, assay error while the system noise accounts for structural misspecifications, approximations of the dynamical model, and true random physiological fluctuations. Since the system noise accounts for model misspecifications, the SDEs provide a diagnostic tool for model appropriateness. The focus of the article is on the implementation of the Extended Kalman Filter (EKF) in NONMEM for parameter estimation in SDE models. Various applications of SDEs in population PK/PD modeling are illustrated through a systematic model development example using clinical PK data of the gonadotropin releasing hormone (GnRH) antagonist degarelix. The dynamic noise estimates were used to track variations in model parameters and systematically build an absorption model for subcutaneously administered degarelix. The EKF-based algorithm was successfully implemented in NONMEM for parameter estimation in population PK/PD models described by systems of SDEs. The example indicated that it was possible to pinpoint structural model deficiencies, and that valuable information may be obtained by tracking unexplained variations in parameters.

An Integrated WRF-CAMx Modeling Approach for Impact Analysis of Implementing the Emergency PM2.5 Control Measures during Red Alerts in Beijing in December 2015

NASA Astrophysics Data System (ADS)

Jia, J.; Cheng, S.; Lei, L.; Lang, J.

2017-12-01

In December 2015, the Beijing-Tianjin-Hebei (BTH) region experienced several episodes of heavy air pollution. Beijing municipal government therefore issued 2 red alerts on December 7 and 19, respectively, and also implemented emergency control measures to alleviate the negative effects of pollution. It is estimated that the heavy pollutions in 2 red alert periods in Beijing were due mainly to the accumulation of air pollutants from local emission sources and the transboundary transport of pollutants from surrounding areas. The collected meteorological and PM2.5 data indicate that the severity of air pollutions were enlarged by the poor meteorological conditions along with lower mixing layer height. In this study, the WRF-CAMx modeling system was utilized not only for analyzing the contributions of PM2.5 from different sources, but also for quantitatively assessing the effects of implementing various emergency control measures on PM2.5 pollution control during the red alert periods. The modeling results show that local emissions were the most dominant contributors (64.8%-83.5%) among all emission sources, while the main external contributions came from the city of Baoding (3.4%-9.3%). In addition, among 5 different emission source categories, coal and traffic were the two dominant contributors to PM2.5 concentration in urban area of Beijing. Then four pollution control scenarios were designed particularly to investigate the effectiveness of the emergency control measures, and the results show that, generally these emergency control measures have positive effects on air pollution reduction. In particular, restrictive measures of traffic volume control and industrial activity shutdown/suspension have been found as the most effective measures in comparison to other emergency control measures. It is recommended that such effective measures should be considered to implement when next time similar heavy air pollutions occur in the city of Beijing.

NuSTAR on-ground calibration: II. Effective area

NASA Astrophysics Data System (ADS)

Brejnholt, Nicolai F.; Christensen, Finn E.; Westergaard, Niels J.; Hailey, Charles J.; Koglin, Jason E.; Craig, William W.

2012-09-01

The Nuclear Spectroscopic Telescope ARray (NuSTAR) was launched in June 2012 carrying the first focusing hard X-ray (5-80keV) optics to orbit. The multilayer coating was carried out at the Technical University of Denmark (DTU Space). In this article we introduce the NuSTAR multilayer reference database and its implementation in the NuSTAR optic response model. The database and its implementation is validated using on-ground effective area calibration data and used to estimate in-orbit performance.

Critical success factors for physical activity promotion through community partnerships.

PubMed

Lucidarme, Steffie; Marlier, Mathieu; Cardon, Greet; De Bourdeaudhuij, Ilse; Willem, Annick

2014-02-01

To define key factors of effective evidence-based policy implementation for physical activity promotion by use of a partnership approach. Using Parent and Harvey's model for sport and physical activity community-based partnerships, we defined determinants of implementation based on 13 face-to-face interviews with network organisations and 39 telephone interviews with partner organisations. Furthermore, two quantitative data-sets (n = 991 and n = 965) were used to measure implementation. In total, nine variables were found to influence implementation. Personal contact was the most powerful variable since its presence contributed to success while its absence led to a negative outcome. Four contributed directly to success: political motive, absence of a metropolis, high commitment and more qualified staff. Four others resulted in a less successful implementation: absence of positive merger effects, exposure motive and governance, and dispersed leadership. Community networks are a promising instrument for the implementation of evidence-based policies. However, determinants of both formation and management of partnerships influence the implementation success. During partnership formation, special attention should be given to partnership motives while social skills are of utmost importance for the management.

Computational Software to Fit Seismic Data Using Epidemic-Type Aftershock Sequence Models and Modeling Performance Comparisons

NASA Astrophysics Data System (ADS)

Chu, A.

2016-12-01

Modern earthquake catalogs are often analyzed using spatial-temporal point process models such as the epidemic-type aftershock sequence (ETAS) models of Ogata (1998). My work implements three of the homogeneous ETAS models described in Ogata (1998). With a model's log-likelihood function, my software finds the Maximum-Likelihood Estimates (MLEs) of the model's parameters to estimate the homogeneous background rate and the temporal and spatial parameters that govern triggering effects. EM-algorithm is employed for its advantages of stability and robustness (Veen and Schoenberg, 2008). My work also presents comparisons among the three models in robustness, convergence speed, and implementations from theory to computing practice. Up-to-date regional seismic data of seismic active areas such as Southern California and Japan are used to demonstrate the comparisons. Data analysis has been done using computer languages Java and R. Java has the advantages of being strong-typed and easiness of controlling memory resources, while R has the advantages of having numerous available functions in statistical computing. Comparisons are also made between the two programming languages in convergence and stability, computational speed, and easiness of implementation. Issues that may affect convergence such as spatial shapes are discussed.

Sensitivity analysis of the Gupta and Park chemical models on the heat flux by DSMC and CFD codes

NASA Astrophysics Data System (ADS)

Morsa, Luigi; Festa, Giandomenico; Zuppardi, Gennaro

2012-11-01

The present study is the logical continuation of a former paper by the first author in which the influence of the chemical models by Gupta and by Park on the computation of heat flux on the Orion and EXPERT capsules was evaluated. Tests were carried out by the direct simulation Monte Carlo code DS2V and by the computational fluiddynamic (CFD) code H3NS. DS2V implements the Gupta model, while H3NS implements the Park model. In order to compare the effects of the chemical models, the Park model was implemented also in DS2V. The results showed that DS2V and H3NS compute a different composition both in the flow field and on the surface, even using the same chemical model (Park). Furthermore DS2V computes, by the two chemical models, different compositions in the flow field but the same composition on the surface, therefore the same heat flux. In the present study, in order to evaluate the influence of these chemical models also in a CFD code, the Gupta and the Park models have been implemented in FLUENT. Tests by DS2V and by FLUENT, have been carried out for the EXPERT capsule at the altitude of 70 km and with velocity of 5000 m/s. The capsule experiences a hypersonic, continuum low density regime. Due to the energy level of the flow, the vibration equation, lacking in the original version of FLUENT, has been implemented. The results of the heat flux computation verify that FLUENT is quite sensitive to the Gupta and to the Park chemical models. In fact, at the stagnation point, the percentage difference between the models is about 13%. On the opposite the DS2V results by the two models are practically equivalent.

The Effect of an Instructional Model Utilizing Hands-on Learning and Manipulatives on Math Achievement of Middle School Students in Georgia

ERIC Educational Resources Information Center

White, Kara Morgan

2012-01-01

The concepts and ideas of mathematics is a major element of educational curriculum. Many different instructional strategies are implemented in mathematics classrooms. The purpose of this study was to evaluate the effect of an instructional model utilizing hands-on learning and use of manipulatives on mathematics achievement of middle school…

Procedures for the computation of unsteady transonic flows including viscous effects

NASA Technical Reports Server (NTRS)

Rizzetta, D. P.

1982-01-01

Modifications of the code LTRAN2, developed by Ballhaus and Goorjian, which account for viscous effects in the computation of planar unsteady transonic flows are presented. Two models are considered and their theoretical development and numerical implementation is discussed. Computational examples employing both models are compared with inviscid solutions and with experimental data. Use of the modified code is described.

Aspect-Oriented Model-Driven Software Product Line Engineering

NASA Astrophysics Data System (ADS)

Groher, Iris; Voelter, Markus

Software product line engineering aims to reduce development time, effort, cost, and complexity by taking advantage of the commonality within a portfolio of similar products. The effectiveness of a software product line approach directly depends on how well feature variability within the portfolio is implemented and managed throughout the development lifecycle, from early analysis through maintenance and evolution. This article presents an approach that facilitates variability implementation, management, and tracing by integrating model-driven and aspect-oriented software development. Features are separated in models and composed of aspect-oriented composition techniques on model level. Model transformations support the transition from problem to solution space models. Aspect-oriented techniques enable the explicit expression and modularization of variability on model, template, and code level. The presented concepts are illustrated with a case study of a home automation system.

Query Language for Location-Based Services: A Model Checking Approach

NASA Astrophysics Data System (ADS)

Hoareau, Christian; Satoh, Ichiro

We present a model checking approach to the rationale, implementation, and applications of a query language for location-based services. Such query mechanisms are necessary so that users, objects, and/or services can effectively benefit from the location-awareness of their surrounding environment. The underlying data model is founded on a symbolic model of space organized in a tree structure. Once extended to a semantic model for modal logic, we regard location query processing as a model checking problem, and thus define location queries as hybrid logicbased formulas. Our approach is unique to existing research because it explores the connection between location models and query processing in ubiquitous computing systems, relies on a sound theoretical basis, and provides modal logic-based query mechanisms for expressive searches over a decentralized data structure. A prototype implementation is also presented and will be discussed.

Modified cable equation incorporating transverse polarization of neuronal membranes for accurate coupling of electric fields.

PubMed

Wang, Boshuo; Aberra, Aman S; Grill, Warren M; Peterchev, Angel V

2018-04-01

We present a theory and computational methods to incorporate transverse polarization of neuronal membranes into the cable equation to account for the secondary electric field generated by the membrane in response to transverse electric fields. The effect of transverse polarization on nonlinear neuronal activation thresholds is quantified and discussed in the context of previous studies using linear membrane models. The response of neuronal membranes to applied electric fields is derived under two time scales and a unified solution of transverse polarization is given for spherical and cylindrical cell geometries. The solution is incorporated into the cable equation re-derived using an asymptotic model that separates the longitudinal and transverse dimensions. Two numerical methods are proposed to implement the modified cable equation. Several common neural stimulation scenarios are tested using two nonlinear membrane models to compare thresholds of the conventional and modified cable equations. The implementations of the modified cable equation incorporating transverse polarization are validated against previous results in the literature. The test cases show that transverse polarization has limited effect on activation thresholds. The transverse field only affects thresholds of unmyelinated axons for short pulses and in low-gradient field distributions, whereas myelinated axons are mostly unaffected. The modified cable equation captures the membrane's behavior on different time scales and models more accurately the coupling between electric fields and neurons. It addresses the limitations of the conventional cable equation and allows sound theoretical interpretations. The implementation provides simple methods that are compatible with current simulation approaches to study the effect of transverse polarization on nonlinear membranes. The minimal influence by transverse polarization on axonal activation thresholds for the nonlinear membrane models indicates that predictions of stronger effects in linear membrane models with a fixed activation threshold are inaccurate. Thus, the conventional cable equation works well for most neuroengineering applications, and the presented modeling approach is well suited to address the exceptions.

Nested generalized linear mixed model with ordinal response: Simulation and application on poverty data in Java Island

NASA Astrophysics Data System (ADS)

Widyaningsih, Yekti; Saefuddin, Asep; Notodiputro, Khairil A.; Wigena, Aji H.

2012-05-01

The objective of this research is to build a nested generalized linear mixed model using an ordinal response variable with some covariates. There are three main jobs in this paper, i.e. parameters estimation procedure, simulation, and implementation of the model for the real data. At the part of parameters estimation procedure, concepts of threshold, nested random effect, and computational algorithm are described. The simulations data are built for 3 conditions to know the effect of different parameter values of random effect distributions. The last job is the implementation of the model for the data about poverty in 9 districts of Java Island. The districts are Kuningan, Karawang, and Majalengka chose randomly in West Java; Temanggung, Boyolali, and Cilacap from Central Java; and Blitar, Ngawi, and Jember from East Java. The covariates in this model are province, number of bad nutrition cases, number of farmer families, and number of health personnel. In this modeling, all covariates are grouped as ordinal scale. Unit observation in this research is sub-district (kecamatan) nested in district, and districts (kabupaten) are nested in province. For the result of simulation, ARB (Absolute Relative Bias) and RRMSE (Relative Root of mean square errors) scale is used. They show that prov parameters have the highest bias, but more stable RRMSE in all conditions. The simulation design needs to be improved by adding other condition, such as higher correlation between covariates. Furthermore, as the result of the model implementation for the data, only number of farmer family and number of medical personnel have significant contributions to the level of poverty in Central Java and East Java province, and only district 2 (Karawang) of province 1 (West Java) has different random effect from the others. The source of the data is PODES (Potensi Desa) 2008 from BPS (Badan Pusat Statistik).

Otago Exercise Program in the United States: Comparison of 2 Implementation Models.

PubMed

Shubert, Tiffany E; Smith, Matthew L; Goto, Lavina; Jiang, Luohua; Ory, Marcia G

2017-02-01

The Otago Exercise Program (OEP) is an evidence-based fall prevention program delivered by a physical therapist in 6 visits over a year. Despite documented effectiveness, there has been limited adoption of the OEP by physical therapists in the United States. To facilitate dissemination, 2 models have been developed: (1) the US OEP provided by a physical therapist or physical therapist assistant in the home or outpatient setting and (2) the community OEP provided by a non–physical therapist and a physical therapist consultant. It is unknown whether such modifications result in similar outcomes. The aims of this study were to identify the components of these 2 models, to compare participant characteristics for those components reached by each model, and to examine outcome changes by model and between models. This was a translational cohort study with physical therapists implementing the US OEP and trained providers implementing the community OEP. Data for physical performance, sociodemographic characteristics, and self-perception of function were collected at baseline and at 8 weeks. Participants in the community OEP were significantly younger and reported more falls compared with those in US OEP. Both sites reported significant improvements in most physical and self-reported measures of function, with larger effect sizes reported by the community OEP for the Timed “Up & Go” Test. There was no significant difference in improvements in outcome measures between sites. This was an evaluation of a translational research project with limited control over delivery processes. The sample was 96% white, which may limit application to a more diverse population. Alternative, less expensive implementation models of the OEP can achieve results similar to those achieved with traditional methods, especially improvements in Timed “Up & Go” Test scores. The data suggest that the action of doing the exercises may be the essential element of the OEP, providing opportunities to develop and test new delivery models to ensure that the best outcomes are achieved by participants. © 2017 American Physical Therapy Association

The Application of Modeling and Simulation in Capacity Management within the ITIL Framework

NASA Technical Reports Server (NTRS)

Rahmani, Sonya; vonderHoff, Otto

2010-01-01

Tightly integrating modeling and simulation techniques into Information Technology Infrastructure Library (ITIL) practices can be one of the driving factors behind a successful and cost-effective capacity management effort for any Information Technology (IT) system. ITIL is a best practices framework for managing IT infrastructure, development and operations. Translating ITIL theory into operational reality can be a challenge. This paper aims to highlight how to best integrate modeling and simulation into an ITIL implementation. For cases where the project team initially has difficulty gaining consensus on investing in modeling and simulation resources, a clear definition for M&S implementation into the ITIL framework, specifically its role in supporting Capacity Management, is critical to gaining the support required to garner these resources. This implementation should also help to clearly define M&S support to the overall system mission. This paper will describe the development of an integrated modeling approach and how best to tie M&S to definitive goals for evaluating system capacity and performance requirements. Specifically the paper will discuss best practices for implementing modeling and simulation into ITIL. These practices hinge on implementing integrated M&S methods that 1) encompass at least two or more predictive modeling techniques, 2) complement each one's respective strengths and weaknesses to support the validation of predicted results, and 3) are tied to the system's performance and workload monitoring efforts. How to structure two forms of modeling: statistical and simUlation in the development of "As Is" and "To Be" efforts will be used to exemplify the integrated M&S methods. The paper will show how these methods can better support the project's overall capacity management efforts.

Identifying optimal agricultural countermeasure strategies for a hypothetical contamination scenario using the strategy model.

PubMed

Cox, G; Beresford, N A; Alvarez-Farizo, B; Oughton, D; Kis, Z; Eged, K; Thørring, H; Hunt, J; Wright, S; Barnett, C L; Gil, J M; Howard, B J; Crout, N M J

2005-01-01

A spatially implemented model designed to assist the identification of optimal countermeasure strategies for radioactively contaminated regions is described. Collective and individual ingestion doses for people within the affected area are estimated together with collective exported ingestion dose. A range of countermeasures are incorporated within the model, and environmental restrictions have been included as appropriate. The model evaluates the effectiveness of a given combination of countermeasures through a cost function which balances the benefit obtained through the reduction in dose with the cost of implementation. The optimal countermeasure strategy is the combination of individual countermeasures (and when and where they are implemented) which gives the lowest value of the cost function. The model outputs should not be considered as definitive solutions, rather as interactive inputs to the decision making process. As a demonstration the model has been applied to a hypothetical scenario in Cumbria (UK). This scenario considered a published nuclear power plant accident scenario with a total deposition of 1.7x10(14), 1.2x10(13), 2.8x10(10) and 5.3x10(9)Bq for Cs-137, Sr-90, Pu-239/240 and Am-241, respectively. The model predicts that if no remediation measures were implemented the resulting collective dose would be approximately 36 000 person-Sv (predominantly from 137Cs) over a 10-year period post-deposition. The optimal countermeasure strategy is predicted to avert approximately 33 000 person-Sv at a cost of approximately 160 million pounds. The optimal strategy comprises a mixture of ploughing, AFCF (ammonium-ferric hexacyano-ferrate) administration, potassium fertiliser application, clean feeding of livestock and food restrictions. The model recommends specific areas within the contaminated area and time periods where these measures should be implemented.

A Subgrid Approach for Modeling Microtopography Effects on Overland Flow: Application to Polygonal Tundra: Modeling Archive

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ahmad Jan; Ethan Coon; Scott Painter

This Modeling Archive is in support of an NGEE Arctic manuscript under review. A new subgrid model was implemented in the Advanced Terrestrial Simulator (ATS) to capture micro-topography effects on surface flow. A comparison of the fine-scale simulations on seven individual ice-wedge polygons and a cluster of polygons was made between the results of the subgrid model and no-subgrid model. Our finding confirms that the effects of small-scale spatial heterogeneities can be captured in the coarsened models. The dataset contains meshes, inputfiles, subgrid parameters used in the simulations. Python scripts for post-processing and files for geometric analyses are also included.

Importance of implementation level when evaluating the effect of the Hi Five Intervention on infectious illness and illness-related absenteeism.

PubMed

Denbæk, Anne Maj; Andersen, Anette; Bast, Lotus Sofie; Bonnesen, Camilla Thørring; Ersbøll, Annette Kjær; Due, Pernille; Johansen, Anette

2018-05-01

There is limited research on the importance of implementation when evaluating the effect of hand hygiene interventions in school settings in developed countries. The aim of this study was to examine the association between an implementation index and the effect of the intervention. The Hi Five Intervention was evaluated in a 3-armed cluster randomized controlled trial involving 43 randomly selected Danish schools. Analyses investigating the association between implementation of the Hi Five Intervention and infectious illness days, infectious illness episodes, illness-related absenteeism, and hand hygiene were carried out in a multilevel model (school, class, and child). The level of implementation was associated with hand hygiene and potentially associated with number of infectious illness days and infectious illness episodes among children. This association was not found for illness-related absenteeism. Classes that succeeded in achieving a high level of implementation of the Hi Five Intervention had a lower number of infectious illness days and infectious illness episodes, suggesting that the Hi Five Intervention, if implemented adequately, may be relevant as a tool to decrease infectious illness in a Danish school setting. Copyright © 2018 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Teachers or Psychologists: Who Should Facilitate Depression Prevention Programs in Schools?

PubMed Central

Wahl, Melanie S.; Adelson, Jill L.; Patak, Margarete A.; Pössel, Patrick; Hautzinger, Martin

2014-01-01

The current study evaluates a depression prevention program for adolescents led by psychologists vs. teachers in comparison to a control. The universal school-based prevention program has shown its efficacy in several studies when implemented by psychologists. The current study compares the effects of the program as implemented by teachers versus that implemented by psychologists under real-life conditions. A total of 646 vocational track 8th grade students from Germany participated either in a universal prevention program, led by teachers (n = 207) or psychologists (n = 213), or a teaching-as-usual control condition (n = 226). The design includes baseline, post-intervention, and follow-up (at 6 and 12 months post-intervention). The cognitive-behavioral program includes 10 sessions held in a regular school setting in same-gender groups and is based on the social information-processing model of social competence. Positive intervention effects were found on the change in girls’ depressive symptoms up to 12 months after program delivery when the program was implemented by psychologists. No such effects were found on boys or when program was delivered by teachers. The prevention program can successfully be implemented for girls by psychologists. Further research is needed for explanations of these effects. PMID:24837667

Lean practices for quality results: a case illustration.

PubMed

Hwang, Pauline; Hwang, David; Hong, Paul

2014-01-01

Increasingly, healthcare providers are implementing lean practices to achieve quality results. Implementing lean healthcare practices is unique compared to manufacturing and other service industries. The purpose of this paper is to present a model that identifies and defines the lean implementation key success factors in healthcare organisations. The model is based on an extant literature review and a case illustration that explores actual lean implementation in a major USA hospital located in a Midwestern city (approximately 300,000 people). An exploratory/descriptive study using observation and follow-up interviews was conducted to identify lean practices in the hospital. Lean practice key drivers include growing elderly populations, rising medical expenses, decreasing insurance coverage and decreasing management support. Effectively implementing lean practices to increase bottom-line results and improve organisational integrity requires sharing goals and processes among healthcare managers and professionals. An illustration explains the model and the study provides a sound foundation for empirical work. Practical implications are included. Lean practices minimise waste and unnecessary hospital stays while simultaneously enhancing customer values and deploying resources in supply systems. Leadership requires clear project targets based on sound front-end planning because initial implementation steps involve uncertainty and ambiguity (i.e. fuzzy front-end planning). Since top management support is crucial for implementing lean practices successfully, a heavyweight manager, who communicates well both with top managers and project team members, is an important success factor when implementing lean practices. Increasingly, green orientation and sustainability initiatives are phrases that replaced lean practices. Effective results; e.g. waste reduction, employee satisfaction and customer values are applicable to bigger competitive challenges arising both in specific organisations and inter-organisational networks. Healthcare managers are adopting business practices that improve efficiency and productivity while ensuring their healthcare mission and guaranteeing that customer values are achieved. Shared understanding about complex goals (e.g. reducing waste and enhancing customer value) at the front-end is crucial for implementing successful lean practices. In particular, this study shows that nursing practices, which are both labour intensive and technology enabled, are good candidates for lean practice.

Analyzing the Effects of Network Centric Warfare on Warfighter Empowerment

DTIC Science & Technology

2002-06-01

5 D ORGANIZATION OF THE STUDY...16 D . THEORETICAL MODEL OF EMPOWERMENT...Technology Defined ............................................................................33 D . IMPLEMENTING IT THROUGH INTEGRATED INFORMATION

Damping in Space Constructions

NASA Astrophysics Data System (ADS)

de Vreugd, Jan; de Lange, Dorus; Winters, Jasper; Human, Jet; Kamphues, Fred; Tabak, Erik

2014-06-01

Monolithic structures are often used in optomechanical designs for space applications to achieve high dimensional stability and to prevent possible backlash and friction phenomena. The capacity of monolithic structures to dissipate mechanical energy is however limited due to the high Q-factor, which might result in high stresses during dynamic launch loads like random vibration, sine sweeps and shock. To reduce the Q-factor in space applications, the effect of constrained layer damping (CLD) is investigated in this work. To predict the damping increase, the CLD effect is implemented locally at the supporting struts in an existing FE model of an optical instrument. Numerical simulations show that the effect of local damping treatment in this instrument could reduce the vibrational stresses with 30-50%. Validation experiments on a simple structure showed good agreement between measured and predicted damping properties. This paper presents material characterization, material modeling, numerical implementation of damping models in finite element code, numerical results on space hardware and the results of validation experiments.

Structured Feedback Training for Time-Out: Efficacy and Efficiency in Comparison to a Didactic Method.

PubMed

Jensen, Scott A; Blumberg, Sean; Browning, Megan

2017-09-01

Although time-out has been demonstrated to be effective across multiple settings, little research exists on effective methods for training others to implement time-out. The present set of studies is an exploratory analysis of a structured feedback method for training time-out using repeated role-plays. The three studies examined (a) a between-subjects comparison to more a traditional didactic/video modeling method of time-out training, (b) a within-subjects comparison to traditional didactic/video modeling training for another skill, and (c) the impact of structured feedback training on in-home time-out implementation. Though findings are only preliminary and more research is needed, the structured feedback method appears across studies to be an efficient, effective method that demonstrates good maintenance of skill up to 3 months post training. Findings suggest, though do not confirm, a benefit of the structured feedback method over a more traditional didactic/video training model. Implications and further research on the method are discussed.

Mitigation of multipath effect in GNSS short baseline positioning by the multipath hemispherical map

NASA Astrophysics Data System (ADS)

Dong, D.; Wang, M.; Chen, W.; Zeng, Z.; Song, L.; Zhang, Q.; Cai, M.; Cheng, Y.; Lv, J.

2016-03-01

Multipath is one major error source in high-accuracy GNSS positioning. Various hardware and software approaches are developed to mitigate the multipath effect. Among them the MHM (multipath hemispherical map) and sidereal filtering (SF)/advanced SF (ASF) approaches utilize the spatiotemporal repeatability of multipath effect under static environment, hence they can be implemented to generate multipath correction model for real-time GNSS data processing. We focus on the spatial-temporal repeatability-based MHM and SF/ASF approaches and compare their performances for multipath reduction. Comparisons indicate that both MHM and ASF approaches perform well with residual variance reduction (50 %) for short span (next 5 days) and maintains roughly 45 % reduction level for longer span (next 6-25 days). The ASF model is more suitable for high frequency multipath reduction, such as high-rate GNSS applications. The MHM model is easier to implement for real-time multipath mitigation when the overall multipath regime is medium to low frequency.

Implementation of a new prenatal care model to reduce office visits and increase connectivity and continuity of care: protocol for a mixed-methods study.

PubMed

Ridgeway, Jennifer L; LeBlanc, Annie; Branda, Megan; Harms, Roger W; Morris, Megan A; Nesbitt, Kate; Gostout, Bobbie S; Barkey, Lenae M; Sobolewski, Susan M; Brodrick, Ellen; Inselman, Jonathan; Baron, Anne; Sivly, Angela; Baker, Misty; Finnie, Dawn; Chaudhry, Rajeev; Famuyide, Abimbola O

2015-12-02

Most low-risk pregnant women receive the standard model of prenatal care with frequent office visits. Research suggests that a reduced schedule of visits among low-risk women could be implemented without increasing adverse maternal or fetal outcomes, but patient satisfaction with these models varies. We aim to determine the effectiveness and feasibility of a new prenatal care model (OB Nest) that enhances a reduced visit model by adding virtual connections that improve continuity of care and patient-directed access to care. This mixed-methods study uses a hybrid effectiveness-implementation design in a single center randomized controlled trial (RCT). Embedding process evaluation in an experimental design like an RCT allows researchers to answer both "Did it work?" and "How or why did it work (or not work)?" when studying complex interventions, as well as providing knowledge for translation into practice after the study. The RE-AIM framework was used to ensure attention to evaluating program components in terms of sustainable adoption and implementation. Low-risk patients recruited from the Obstetrics Division at Mayo Clinic (Rochester, MN) will be randomized to OB Nest or usual care. OB Nest patients will be assigned to a dedicated nursing team, scheduled for 8 pre-planned office visits with a physician or midwife and 6 telephone or online nurse visits (compared to 12 pre-planned physician or midwife office visits in the usual care group), and provided fetal heart rate and blood pressure home monitoring equipment and information on joining an online care community. Quantitative methods will include patient surveys and medical record abstraction. The primary quantitative outcome is patient-reported satisfaction. Other outcomes include fidelity to items on the American Congress of Obstetricians and Gynecologists standards of care list, health care utilization (e.g. numbers of antenatal office visits), and maternal and fetal outcomes (e.g. gestational age at delivery), as well as validated patient-reported measures of pregnancy-related stress and perceived quality of care. Quantitative analysis will be performed according to the intention to treat principle. Qualitative methods will include interviews and focus groups with providers, staff, and patients, and will explore satisfaction, intervention adoption, and implementation feasibility. We will use methods of qualitative thematic analysis at three stages. Mixed methods analysis will involve the use of qualitative data to lend insight to quantitative findings. This study will make important contributions to the literature on reduced visit models by evaluating a novel prenatal care model with components to increase patient connectedness (even with fewer pre-scheduled office visits), as demonstrated on a range of patient-important outcomes. The use of a hybrid effectiveness-implementation approach, as well as attention to patient and provider perspectives on program components and implementation, may uncover important information that can inform long-term feasibility and potentially speed future translation. Trial registration identifier: NCT02082275 Submitted: March 6, 2014.

Explicit robust schemes for implementation of general principal value-based constitutive models

NASA Technical Reports Server (NTRS)

Arnold, S. M.; Saleeb, A. F.; Tan, H. Q.; Zhang, Y.

1993-01-01

The issue of developing effective and robust schemes to implement general hyperelastic constitutive models is addressed. To this end, special purpose functions are used to symbolically derive, evaluate, and automatically generate the associated FORTRAN code for the explicit forms of the corresponding stress function and material tangent stiffness tensors. These explicit forms are valid for the entire deformation range. The analytical form of these explicit expressions is given here for the case in which the strain-energy potential is taken as a nonseparable polynomial function of the principle stretches.

The effect of the introduction of a case-mix-based funding model of rehabilitation for severe stroke: an Australian experience.

PubMed

Brock, Kim A; Vale, Stephen J; Cotton, Susan M

2007-07-01

To compare resource use of, and outcomes for, rehabilitation for severe stroke before and after the implementation of the Casemix and Rehabilitation Funding Tree case-mix-based funding model. Prospective, observational cohort study. Eight inpatient rehabilitation centers in Australia. Consecutive sample of 609 patients with severe stroke. Not applicable. Rehabilitation length of stay (LOS), discharge destination, and FIM instrument motor score at discharge. The average rehabilitation LOS changed significantly between the preimplementation year and the implementation year (Mann-Whitney U, P=.001). There were no significant differences in discharge destination. FIM motor score at discharge showed significant reduction in improvement (Mann-Whitney U, P=.001) between the preimplementation year and the implementation year. There were no significant correlations between LOS in rehabilitation and gain in function for either the preimplementation year (Spearman rho, P=.07) or the implementation year (P=.15). The change in funding model was associated with a decrease in inpatient costs and with an associated increase in disability at discharge. Our results suggest that the rate of improvement in severe stroke is variable; also, they support the use of funding models for stroke rehabilitation that allow flexibility in resource allocation.

Telework rationale and implementation for people with disabilities: considerations for employer policymaking.

PubMed

Moon, Nathan W; Linden, Maureen A; Bricout, John C; Baker, Paul M A

2014-01-01

Telework has been promoted as a viable workplace accommodation for people with disabilities since the 1990s, when information and communication technologies (ICT) had developed sufficiently to facilitate its widespread adoption. This initial research and accompanying policy recommendations were prescriptive in nature and frequently aimed at employers. This article adds to existing policy models for facilitating successful telework outcomes for people with disabilities. Drawing upon two studies by the Rehabilitation Engineering Research Center on Workplace Accommodations, we expound on employee-side considerations in the implementation of telework. Our policy model utilizes established typologies for policy evaluation to develop a process model that considers rationales and implementation factors for telework among people with physical disabilities. Telework may be used as an accommodation for disability, but employee rationales for telework are more complex, involving work-life balance, strategies for pain and fatigue not formally recognized as disability, and expediency in travel and transportation. Implementation of telework as a component of workplace operations is similarly multifaceted, involving non-technology accommodations to realize job restructuring left incomplete by telework. Our model grounds new empirical research in this area. We also renew our call for additional research on effective telework practices for people with disabilities.

Enhanced Estimation of Terrestrial Loadings for TMDLs: Normalization Approach

USDA-ARS?s Scientific Manuscript database

TMDL implementation plans to remediate pathogen-impaired streams are usually based on deterministic terrestrial fate and transport (DTFT) models. A novel protocol is proposed that can effectively, efficiently, and explicitly capture the predictive uncertainty of DTFT models used to establish terres...

Leveraging the Value of Human Relationships to Improve Health Outcomes. Lessons learned from the OpenMRS Electronic Health Record System.

PubMed

Kasthurirathne, Suranga N; Mamlin, Burke W; Cullen, Theresa

2017-02-01

Despite significant awareness on the value of leveraging patient relationships across the healthcare continuum, there is no research on the potential of using Electronic Health Record (EHR) systems to store structured patient relationship data, or its impact on enabling better healthcare. We sought to identify which EHR systems supported effective patient relationship data collection, and for systems that do, what types of relationship data is collected, how this data is used, and the perceived value of doing so. We performed a literature search to identify EHR systems that supported patient relationship data collection. Based on our results, we defined attributes of an effective patient relationship model. The Open Medical Record System (OpenMRS), an open source medical record platform for underserved settings met our eligibility criteria for effective patient relationship collection. We performed a survey to understand how the OpenMRS patient relationship model was used, and how it brought value to implementers. The OpenMRS patient relationship model has won widespread adoption across many implementations and is perceived to be valuable in enabling better health care delivery. Patient relationship information is widely used for community health programs and enabling chronic care. Additionally, many OpenMRS implementers were using this feature to collect custom relationship types for implementation specific needs. We believe that flexible patient relationship data collection is critical for better healthcare, and can inform community care and chronic care initiatives across the world. Additionally, patient relationship data could also be leveraged for many other initiatives such as patient centric care and in the field of precision medicine.

Implementation of random contact hole design with CPL mask by using IML technology

NASA Astrophysics Data System (ADS)

Hsu, Michael; Van Den Broeke, Doug; Hsu, Stephen; Chen, J. Fung; Shi, Xuelong; Corcoran, Noel; Yu, Linda

2005-11-01

The contact hole imaging is a very challenge task for the optical lithography process during IC manufacturing. Lots of RETs were proposed to improve the contrast of small opening hole. Scattering Bar (SB) OPC, together with optimized illumination, is no doubt one of the critical enablers for low k1 contact imaging. In this study, an effective model-based SB OPC based on IML technology is implemented for contact layer at 90nm, 65nm, and 45nm nodes. For our full-chip implementation flow, the first step is to determine the critical design area and then to proceed with NA and illumination optimization. Then, we selected the best NA in combination with optimum illumination via a Diffraction Optical Element (DOE). With optimized illumination, it is now possible to construct an interference map for the full-chip mask pattern. Utilizing the interference map, the model-based SB OPC is performed. Next, model OPC can be applied with the presence of SB for the entire chip. It is important to note that, for patterning at k1 near 0.35 or below, it may be necessary to include 3D mask effects with a high NA OPC model. With enhanced DOF by IML and immersion process, the low k1 production worthy contact process is feasible.

Self-tuning bistable parametric feedback oscillator: Near-optimal amplitude maximization without model information

NASA Astrophysics Data System (ADS)

Braun, David J.; Sutas, Andrius; Vijayakumar, Sethu

2017-01-01

Theory predicts that parametrically excited oscillators, tuned to operate under resonant condition, are capable of large-amplitude oscillation useful in diverse applications, such as signal amplification, communication, and analog computation. However, due to amplitude saturation caused by nonlinearity, lack of robustness to model uncertainty, and limited sensitivity to parameter modulation, these oscillators require fine-tuning and strong modulation to generate robust large-amplitude oscillation. Here we present a principle of self-tuning parametric feedback excitation that alleviates the above-mentioned limitations. This is achieved using a minimalistic control implementation that performs (i) self-tuning (slow parameter adaptation) and (ii) feedback pumping (fast parameter modulation), without sophisticated signal processing past observations. The proposed approach provides near-optimal amplitude maximization without requiring model-based control computation, previously perceived inevitable to implement optimal control principles in practical application. Experimental implementation of the theory shows that the oscillator self-tunes itself near to the onset of dynamic bifurcation to achieve extreme sensitivity to small resonant parametric perturbations. As a result, it achieves large-amplitude oscillations by capitalizing on the effect of nonlinearity, despite substantial model uncertainties and strong unforeseen external perturbations. We envision the present finding to provide an effective and robust approach to parametric excitation when it comes to real-world application.

Turbulence modeling

NASA Technical Reports Server (NTRS)

Bardina, Jorge E.

1995-01-01

The objective of this work is to develop, verify, and incorporate the baseline two-equation turbulence models which account for the effects of compressibility into the three-dimensional Reynolds averaged Navier-Stokes (RANS) code and to provide documented descriptions of the models and their numerical procedures so that they can be implemented into 3-D CFD codes for engineering applications.

Developing the Autism Model of Implementation for Autism spectrum disorder community providers: study protocol

PubMed Central

2012-01-01

Background Currently, 1 out of 88 children are diagnosed with an autism spectrum disorder (ASD), and the estimated cost for treatment services is $126 billion annually. Typically, ASD community providers (ASD-CPs) provide services to children with any severity of ASD symptoms using a combination of various treatment paradigms, some with an evidence-base and some without. When evidence-based practices (EBPs) are successfully implemented by ASD-CPs, they can result in positive outcomes. Despite this promise, EBPs are often implemented unsuccessfully and other treatments used by ASD-CPs lack supportive evidence, especially for school-age children with ASD. While it is not well understood why ASD-CPs are not implementing EBPs, organizational and individual characteristics likely play a role. As a response to this need and to improve the lives of children with ASD and their families, this study aims to develop and test the feasibility and acceptability of the Autism Model of Implementation (AMI) to support the implementation of EBPs by ASD-CPs. Methods/design An academic-community collaboration developed to partner with ASD-CPs will facilitate the development of the AMI, a process specifically for use by ASD community-based agencies. Using a mixed methods approach, the project will assess agency and individual factors likely to facilitate or hinder implementing EBPs in this context; develop the AMI to address identified barriers and facilitators; and pilot test the AMI to examine its feasibility and acceptability using a specific EBP to treat anxiety disorders in school-age children with ASD. Discussion The AMI will represent a data-informed approach to facilitate implementation of EBPs by ASD-CPs by providing an implementation model specifically developed for this context. This study is designed to address the real-world implications of EBP implementation in ASD community-based agencies. In doing so, the AMI will help to provide children with ASD the best and most effective services in their own community. Moreover, the proposed study will positively impact the field of implementation science by providing an empirically supported and tested model of implementation to facilitate the identification, adoption, and use of EBPs. PMID:22963616

Bayesian Hierarchical Random Effects Models in Forensic Science.

PubMed

Aitken, Colin G G

2018-01-01

Statistical modeling of the evaluation of evidence with the use of the likelihood ratio has a long history. It dates from the Dreyfus case at the end of the nineteenth century through the work at Bletchley Park in the Second World War to the present day. The development received a significant boost in 1977 with a seminal work by Dennis Lindley which introduced a Bayesian hierarchical random effects model for the evaluation of evidence with an example of refractive index measurements on fragments of glass. Many models have been developed since then. The methods have now been sufficiently well-developed and have become so widespread that it is timely to try and provide a software package to assist in their implementation. With that in mind, a project (SAILR: Software for the Analysis and Implementation of Likelihood Ratios) was funded by the European Network of Forensic Science Institutes through their Monopoly programme to develop a software package for use by forensic scientists world-wide that would assist in the statistical analysis and implementation of the approach based on likelihood ratios. It is the purpose of this document to provide a short review of a small part of this history. The review also provides a background, or landscape, for the development of some of the models within the SAILR package and references to SAILR as made as appropriate.

Going beyond the identification of change facilitators to effectively implement a new model of services: lessons learned from a case example in paediatric rehabilitation.

PubMed

Camden, Chantal; Swaine, Bonnie; Tétreault, Sylvie; Carrière, Monique

2011-01-01

To identify facilitators and barriers to service reorganization, how they evolved and interacted to influence change during the implementation of a new service delivery model of paediatric rehabilitation. Over 3 years, different stakeholders responded to SWOT questionnaires (n = 139) and participated in focus groups (n = 19) and telephone interviews (n = 13). A framework based on socio constructivist theories made sense of the data. Facilitators related to the programme's structure (e.g. funding), the actors (e.g. willingness to test the new service model) and the change management process (e.g. participative approach). Some initial facilitators became barriers (e.g. leadership lacked at the end), while other barriers emerged (e.g. lack of tools). Understanding factor interactions requires examining the multiple actors' intentions, actions and consequences and their relations with structural elements. Analysing facilitators and barriers helped better understand the change processes, but this must be followed by concrete actions to successfully implement new paediatric rehabilitation models.

Models and Frameworks: A Synergistic Association for Developing Component-Based Applications

PubMed Central

Sánchez-Ledesma, Francisco; Sánchez, Pedro; Pastor, Juan A.; Álvarez, Bárbara

2014-01-01

The use of frameworks and components has been shown to be effective in improving software productivity and quality. However, the results in terms of reuse and standardization show a dearth of portability either of designs or of component-based implementations. This paper, which is based on the model driven software development paradigm, presents an approach that separates the description of component-based applications from their possible implementations for different platforms. This separation is supported by automatic integration of the code obtained from the input models into frameworks implemented using object-oriented technology. Thus, the approach combines the benefits of modeling applications from a higher level of abstraction than objects, with the higher levels of code reuse provided by frameworks. In order to illustrate the benefits of the proposed approach, two representative case studies that use both an existing framework and an ad hoc framework, are described. Finally, our approach is compared with other alternatives in terms of the cost of software development. PMID:25147858

An Implicit Algorithm for the Numerical Simulation of Shape-Memory Alloys

DOE Office of Scientific and Technical Information (OSTI.GOV)

Becker, R; Stolken, J; Jannetti, C

Shape-memory alloys (SMA) have the potential to be used in a variety of interesting applications due to their unique properties of pseudoelasticity and the shape-memory effect. However, in order to design SMA devices efficiently, a physics-based constitutive model is required to accurately simulate the behavior of shape-memory alloys. The scope of this work is to extend the numerical capabilities of the SMA constitutive model developed by Jannetti et. al. (2003), to handle large-scale polycrystalline simulations. The constitutive model is implemented within the finite-element software ABAQUS/Standard using a user defined material subroutine, or UMAT. To improve the efficiency of the numericalmore » simulations, so that polycrystalline specimens of shape-memory alloys can be modeled, a fully implicit algorithm has been implemented to integrate the constitutive equations. Using an implicit integration scheme increases the efficiency of the UMAT over the previously implemented explicit integration method by a factor of more than 100 for single crystal simulations.« less

The implementation and validation of improved landsurface hydrology in an atmospheric general circulation model

NASA Technical Reports Server (NTRS)

Johnson, Kevin D.; Entekhabi, Dara; Eagleson, Peter S.

1991-01-01

Landsurface hydrological parameterizations are implemented in the NASA Goddard Institute for Space Studies (GISS) General Circulation Model (GCM). These parameterizations are: (1) runoff and evapotranspiration functions that include the effects of subgrid scale spatial variability and use physically based equations of hydrologic flux at the soil surface, and (2) a realistic soil moisture diffusion scheme for the movement of water in the soil column. A one dimensional climate model with a complete hydrologic cycle is used to screen the basic sensitivities of the hydrological parameterizations before implementation into the full three dimensional GCM. Results of the final simulation with the GISS GCM and the new landsurface hydrology indicate that the runoff rate, especially in the tropics is significantly improved. As a result, the remaining components of the heat and moisture balance show comparable improvements when compared to observations. The validation of model results is carried from the large global (ocean and landsurface) scale, to the zonal, continental, and finally the finer river basin scales.

Models and frameworks: a synergistic association for developing component-based applications.

PubMed

Alonso, Diego; Sánchez-Ledesma, Francisco; Sánchez, Pedro; Pastor, Juan A; Álvarez, Bárbara

2014-01-01

The use of frameworks and components has been shown to be effective in improving software productivity and quality. However, the results in terms of reuse and standardization show a dearth of portability either of designs or of component-based implementations. This paper, which is based on the model driven software development paradigm, presents an approach that separates the description of component-based applications from their possible implementations for different platforms. This separation is supported by automatic integration of the code obtained from the input models into frameworks implemented using object-oriented technology. Thus, the approach combines the benefits of modeling applications from a higher level of abstraction than objects, with the higher levels of code reuse provided by frameworks. In order to illustrate the benefits of the proposed approach, two representative case studies that use both an existing framework and an ad hoc framework, are described. Finally, our approach is compared with other alternatives in terms of the cost of software development.

Understanding women's mammography intentions: a theory-based investigation.

PubMed

Naito, Mikako; O'Callaghan, Frances V; Morrissey, Shirley

2009-01-01

The present study compared the utility of two models (the Theory of Planned Behavior and Protection Motivation Theory) in identifying factors associated with intentions to undertake screening mammography, before and after an intervention. The comparison was made between the unique components of the two models. The effect of including implementation intentions was also investigated. Two hundred and fifty-one women aged 37 to 69 years completed questionnaires at baseline and following the delivery of a standard (control) or a protection motivation theory-based informational intervention. Hierarchical multiple regressions indicated that theory of planned behavior variables were associated with mammography intentions. Results also showed that inclusion of implementation intention in the model significantly increased the association with mammography intentions. The findings suggest that future interventions aiming to increase screening mammography participation should focus on the theory of planned behavior variables and that implementation intention should also be targeted.

Mathematical Model Taking into Account Nonlocal Effects of Plasmonic Structures on the Basis of the Discrete Source Method

NASA Astrophysics Data System (ADS)

Eremin, Yu. A.; Sveshnikov, A. G.

2018-04-01

The discrete source method is used to develop and implement a mathematical model for solving the problem of scattering electromagnetic waves by a three-dimensional plasmonic scatterer with nonlocal effects taken into account. Numerical results are presented whereby the features of the scattering properties of plasmonic particles with allowance for nonlocal effects are demonstrated depending on the direction and polarization of the incident wave.

Impact and economic evaluation of a novel HIV service delivery model in rural Malawi.

PubMed

McBain, Ryan K; Petersen, Elizabeth; Tophof, Nora; Dunbar, Elizabeth L; Kalanga, Noel; Nazimera, Lawrence; Mganga, Andrew; Dullie, Luckson; Mukherjee, Joia; Wroe, Emily B

2017-09-10

We performed an impact and cost-effectiveness analysis of a novel HIV service delivery model in a high prevalence, remote district of Malawi with a population of 143 800 people. A population-based retrospective analysis of 1-year survival rates among newly enrolled HIV-positive patients at 682 health facilities throughout Malawi, comparing facilities implementing the service delivery model (n = 13) and those implementing care-as-usual (n = 669). Through district-level health surveillance data, we evaluated 1-year survival rates among HIV patients newly enrolled between July 2013 and June 2014 - representing 129 938 patients in care across 682 health facilities - using a multilevel modeling framework. The model, focused on social determinants of health, was implemented throughout Neno District at 13 facilities and compared with facilities in all other districts. Activity-based costing was used to annualize financial and economic costs from a societal perspective. Incremental cost-effectiveness ratios were expressed as quality-adjusted life-years gained. The national average 1-year survival rate for newly enrolled antiretroviral therapy clients was 78.9%: this rate was 87.9% in Neno District, compared with 78.8% across all other districts in Malawi (P < 0.001; 95% confidence interval: 0.079-0.104). The economic cost of receiving care in Neno district (n = 6541 patients) was $317/patient/year, compared with an estimated $219/patient in other districts. This translated to $906 per quality-adjusted life-year gained. Neno District's comprehensive model of care, featuring a strong focus on the community, is $98 more expensive per capita per annum but demonstrates superior 1-year survival rates, despite its remote location. Moreover, it should be considered cost-effective by traditional international standards.

Flipped classroom model for learning evidence-based medicine.

PubMed

Rucker, Sydney Y; Ozdogan, Zulfukar; Al Achkar, Morhaf

2017-01-01

Journal club (JC), as a pedagogical strategy, has long been used in graduate medical education (GME). As evidence-based medicine (EBM) becomes a mainstay in GME, traditional models of JC present a number of insufficiencies and call for novel models of instruction. A flipped classroom model appears to be an ideal strategy to meet the demands to connect evidence to practice while creating engaged, culturally competent, and technologically literate physicians. In this article, we describe a novel model of flipped classroom in JC. We present the flow of learning activities during the online and face-to-face instruction, and then we highlight specific considerations for implementing a flipped classroom model. We show that implementing a flipped classroom model to teach EBM in a residency program not only is possible but also may constitute improved learning opportunity for residents. Follow-up work is needed to evaluate the effectiveness of this model on both learning and clinical practice.

Flipped classroom model for learning evidence-based medicine

PubMed Central

Rucker, Sydney Y; Ozdogan, Zulfukar; Al Achkar, Morhaf

2017-01-01

Journal club (JC), as a pedagogical strategy, has long been used in graduate medical education (GME). As evidence-based medicine (EBM) becomes a mainstay in GME, traditional models of JC present a number of insufficiencies and call for novel models of instruction. A flipped classroom model appears to be an ideal strategy to meet the demands to connect evidence to practice while creating engaged, culturally competent, and technologically literate physicians. In this article, we describe a novel model of flipped classroom in JC. We present the flow of learning activities during the online and face-to-face instruction, and then we highlight specific considerations for implementing a flipped classroom model. We show that implementing a flipped classroom model to teach EBM in a residency program not only is possible but also may constitute improved learning opportunity for residents. Follow-up work is needed to evaluate the effectiveness of this model on both learning and clinical practice. PMID:28919831

Costs, effects and implementation of routine data emergency admission risk prediction models in primary care for patients with, or at risk of, chronic conditions: a systematic review protocol.

PubMed

Kingston, Mark Rhys; Evans, Bridie Angela; Nelson, Kayleigh; Hutchings, Hayley; Russell, Ian; Snooks, Helen

2016-03-01

Emergency admission risk prediction models are increasingly used to identify patients, typically with one or more chronic conditions, for proactive management in primary care to avoid admissions, save costs and improve patient experience. To identify and review the published evidence on the costs, effects and implementation of emergency admission risk prediction models in primary care for patients with, or at risk of, chronic conditions. We shall search for studies of healthcare interventions using routine data-generated emergency admission risk models. We shall report: the effects on emergency admissions and health costs; clinician and patient views; and implementation findings. We shall search ASSIA, CINAHL, the Cochrane Library, HMIC, ISI Web of Science, MEDLINE and Scopus from 2005, review references in and citations of included articles, search key journals and contact experts. Study selection, data extraction and quality assessment will be performed by two independent reviewers. No ethical permissions are required for this study using published data. Findings will be disseminated widely, including publication in a peer-reviewed journal and through conferences in primary and emergency care and chronic conditions. We judge our results will help a wide audience including primary care practitioners and commissioners, and policymakers. CRD42015016874; Pre-results. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Impact on cardiovascular disease events of the implementation of Argentina's national tobacco control law.

PubMed

Konfino, Jonatan; Ferrante, Daniel; Mejia, Raul; Coxson, Pamela; Moran, Andrew; Goldman, Lee; Pérez-Stable, Eliseo J

2014-03-01

Argentina's congress passed a tobacco control law that would enforce 100% smoke-free environments for the entire country, strong and pictorial health warnings on tobacco products and a comprehensive advertising ban. However, the Executive Branch continues to review the law and it has not been fully implemented. Our objective was to project the potential impact of full implementation of this tobacco control legislation on cardiovascular disease. The Coronary Heart Disease (CHD) Policy Model was used to project future cardiovascular events. Data sources for the model included vital statistics, morbidity and mortality data, and tobacco use estimates from the National Risk Factor Survey. Estimated effectiveness of interventions was based on a literature review. Results were expressed as life-years, myocardial infarctions and strokes saved in an 8-year-period between 2012 and 2020. In addition we projected the incremental effectiveness on the same outcomes of a tobacco price increase not included in the law. In the period 2012-2020, 7500 CHD deaths, 16 900 myocardial infarctions and 4300 strokes could be avoided with the full implementation and enforcement of this law. Annual per cent reduction would be 3% for CHD deaths, 3% for myocardial infarctions and 1% for stroke. If a tobacco price increase is implemented the projected avoided CHD deaths, myocardial infarctions and strokes would be 15 500, 34 600 and 11 900, respectively. Implementation of the tobacco control law would produce significant public health benefits in Argentina. Strong advocacy is needed at national and international levels to get this law implemented throughout Argentina.

Quality management, a directive approach to patient safety.

PubMed

Ayuso-Murillo, Diego; de Andrés-Gimeno, Begoña; Noriega-Matanza, Concha; López-Suárez, Rafael Jesús; Herrera-Peco, Ivan

Nowadays the implementation of effective quality management systems and external evaluation in healthcare is a necessity to ensure not only transparency in activities related to health but also access to health and patient safety. The key to correctly implementing a quality management system is support from the managers of health facilities, since it is managers who design and communicate to health professionals the strategies of action involved in quality management systems. This article focuses on nursing managers' approach to quality management through the implementation of cycles of continuous improvement, participation of improvement groups, monitoring systems and external evaluation quality models (EFQM, ISO). The implementation of a quality management system will enable preventable adverse effects to be minimized or eliminated, and promote patient safety and safe practice by health professionals. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

Evaluation of the implementation of the directly observed treatment strategy for tuberculosis in a large city.

PubMed

Lavôr, Débora Cristina Brasil da Silva; Pinheiro, Jair Dos Santos; Gonçalves, Maria Jacirema Ferreira

2016-04-01

To assess the degree of implementation of the Directly Observed Treatment, Short-course - DOTS for tuberculosis (TB) in a large city. Assessment of the implementation of the logic model, whose new cases of infectious pulmonary TB were recruited from specialized clinics and followed-up in basic health units. The judgment matrix covering the five components of the DOTS strategy were used. The result of the logic model indicates DOTS was partially implemented. In external, organizational and implementation contexts, the DOTS strategy was partially implemented; and, the effectiveness was not implemented. The partial implementation of the DOTS strategy in the city of Manaus did not reflect in TB control compliance, leading to low effectiveness of the program. Avaliar o grau de implantação da estratégia de tratamento diretamente observado (Directly Observed Treatment, Short-course - DOTS) para tuberculose (TB) em um município de grande porte. Avaliação de implantação por meio de modelo lógico, cujos casos novos de TB pulmonar bacilífera foram recrutados em ambulatórios especializados e acompanhados nas unidades básicas de saúde. Utilizou-se matriz de julgamento que abrange os cinco componentes da estratégia DOTS. O resultado do modelo lógico indica DOTS implantada parcialmente. Nos contextos externo, organizacional e de implantação, a estratégia DOTS está implantada parcialmente; e, na efetividade não está implantada. A implantação parcial da estratégia DOTS, na cidade de Manaus, reflete na não conformidade do controle da TB, levando à baixa efetividade do programa.

Implementation of a children's hospital-wide central venous catheter insertion and maintenance bundle.

PubMed

Helder, Onno; Kornelisse, René; van der Starre, Cynthia; Tibboel, Dick; Looman, Caspar; Wijnen, René; Poley, Marten; Ista, Erwin

2013-10-14

Central venous catheter-associated bloodstream infections in children are an increasingly recognized serious safety problem worldwide, but are often preventable. Central venous catheter bundles have proved effective to prevent such infections. Successful implementation requires changes in the hospital system as well as in healthcare professionals' behaviour. The aim of the study is to evaluate process and outcome of implementation of a state-of-the-art central venous catheter insertion and maintenance bundle in a large university children's hospital. An interrupted time series design will be used; the study will encompass all children who need a central venous catheter. New state-of-the-art central venous catheter bundles will be developed. The Pronovost-model will guide the implementation process. We developed a tailored multifaceted implementation strategy consisting of reminders, feedback, management support, local opinion leaders, and education. Primary outcome measure is the number of catheter-associated infections per 1000 line-days. The process outcome is degree of adherence to use of these central venous catheter bundles is the secondary outcome. A cost-effectiveness analysis is part of the study. Outcomes will be monitored during three periods: baseline, pre-intervention, and post-intervention for over 48 months. This model-based implementation strategy will reveal the challenges of implementing a hospital-wide safety program. This work will add to the body of knowledge in the field of implementation. We postulate that healthcare workers' willingness to shift from providing habitual care to state-of-the-art care may reflect the need for consistent care improvement. Trial registration: Dutch trials registry, trial # 3635. Dutch trials registry (http://www.trialregister.nl), trial # 3635.

Improving contact layer patterning using SEM contour based etch model

NASA Astrophysics Data System (ADS)

Weisbuch, François; Lutich, Andrey; Schatz, Jirka; Hertzsch, Tino; Moll, Hans-Peter

2016-10-01

The patterning of the contact layer is modulated by strong etch effects that are highly dependent on the geometry of the contacts. Such litho-etch biases need to be corrected to ensure a good pattern fidelity. But aggressive designs contain complex shapes that can hardly be compensated with etch bias table and are difficult to characterize with standard CD metrology. In this work we propose to implement a model based etch compensation method able to deal with any contact configuration. With the help of SEM contours, it was possible to get reliable 2D measurements particularly helpful to calibrate the etch model. The selections of calibration structures was optimized in combination with model form to achieve an overall errRMS of 3nm allowing the implementation of the model in production.

Direction-dependent arm kinematics reveal optimal integration of gravity cues.

PubMed

Gaveau, Jeremie; Berret, Bastien; Angelaki, Dora E; Papaxanthis, Charalambos

2016-11-02

The brain has evolved an internal model of gravity to cope with life in the Earth's gravitational environment. How this internal model benefits the implementation of skilled movement has remained unsolved. One prevailing theory has assumed that this internal model is used to compensate for gravity's mechanical effects on the body, such as to maintain invariant motor trajectories. Alternatively, gravity force could be used purposely and efficiently for the planning and execution of voluntary movements, thereby resulting in direction-depending kinematics. Here we experimentally interrogate these two hypotheses by measuring arm kinematics while varying movement direction in normal and zero-G gravity conditions. By comparing experimental results with model predictions, we show that the brain uses the internal model to implement control policies that take advantage of gravity to minimize movement effort.

Modeling effects of prescribed fire on wildlife habitat: Stand structure, snag recruitment and coarse woody debris

Treesearch

Colin C. Hardy; Elizabeth D. Reinhardt

1998-01-01

The essential role of fire in sustaining ecosystems has recently been formally recognized. It is specifically addressed in several new national policy documents. In the Federal Wildland Fire Policy and Program Review's Implementation Action Plan (US Department of Interior and U.S. Department of Agriculture 1996). federal land managers expect to implement a several...

Interests and Conflicts: Exploring the Context for Early Implementation of a Dual Language Policy in One Middle School

ERIC Educational Resources Information Center

Forman, Stephanie

2016-01-01

Dual language immersion program models represent a potentially effective way to serve growing numbers of English language learners (ELLs) in schools and districts. However, local challenges, such as interpersonal conflict, can impact the process of implementing dual language policies and programs, limiting the extent to which they are able to meet…

Local Implementation Effectiveness of a Multi-Tier System of Support in Elementary School Settings

ERIC Educational Resources Information Center

Houlton, Terry P.

2017-01-01

Ensuring all students learn at high levels is demanding. Multi-tier systems of supports (MTSS) has shown promise as a way to promote high levels of learning for all students while catching students who are struggling to learn. However, implementing MTSS models in school districts and schools has seen its challenges. The context of an individual…

Designing Education Projects: A Comprehensive Approach to Needs Assessment, Project Planning and Implementation, and Evaluation. Second Edition

ERIC Educational Resources Information Center

Day-Miller, Elizabeth A.; Easton, Janice O.

2009-01-01

A considerable amount of time, effort, and other resources go into the development and implementation of education projects. Quite obviously, the goal is to create effective projects that can serve as models of excellence. Whether the project is an hour-long endangered species talk, a family festival, a severe weather awareness workshop, marine…

Chemical leasing--a review of implementation in the past decade.

PubMed

Moser, Frank; Jakl, Thomas

2015-04-01

In the past decade, research on innovative business models to manage the risk of chemical substances has sought to provide solutions to achieve the goals of the World Summit on Sustainable Development of 2002, which called for a renewal of the commitment to the sound management of chemicals and of hazardous wastes throughout their life cycle and set the ambitious goal, by 2020, to use and produce chemicals in ways that do not lead to significant adverse effects on human health and the environment. Chemical Leasing is an innovative business model that shows a great potential to become a global model for sustainable development within chemical management. This paper provides a review of the current standings of literature regarding the implementation of Chemical Leasing in the past decade. In doing so, the paper highlights the potential of this business model to serve as an approach for dematerializing production processes and managing the risks of chemicals at all levels. More in detail, it provides an outline of how Chemical Leasing has supported the alignment and implementation of the objectives of chemicals policy-makers and industry regarding the production and use of chemicals and analyses to what extent Chemical Leasing contributes to the implementation of a number of voluntary global initiatives, such as Cleaner Production, Sustainable Chemistry and Corporate Social Responsibility. This paper provides a systematic analysis of the gaps identified in literature regarding the implementation of Chemical Leasing business models. Based on this analysis, specific aspects in the field of Chemical Leasing are recommended to be further elaborated in order to increase the understanding and applicability of the business model.

Vibration sensing in flexible structures using a distributed-effect modal domain optical fiber sensor

NASA Technical Reports Server (NTRS)

Reichard, Karl M.; Lindner, Douglas K.; Claus, Richard O.

1991-01-01

Modal domain optical fiber sensors have recently been employed in the implementation of system identification algorithms and the closed-loop control of vibrations in flexible structures. The mathematical model of the modal domain optical fiber sensor used in these applications, however, only accounted for the effects of strain in the direction of the fiber's longitudinal axis. In this paper, we extend this model to include the effects of arbitrary stress. Using this sensor model, we characterize the sensor's sensitivity and dynamic range.

Update and extension of the Brazil SimSmoke model to estimate the health impact of cigarette smoking by pregnant women in Brazil.

PubMed

Szklo, André Salem; Yuan, Zhe; Levy, David

2017-12-18

A previous application of the Brazil SimSmoke tobacco control policy simulation model was used to show the effect of policies implemented between 1989 and 2010 on smoking-attributable deaths (SADs). In this study, we updated and further validated the Brazil SimSmoke model to incorporate policies implemented since 2011 (e.g., a new tax structure with the purpose of increasing revenues/real prices). In addition, we extended the model to estimate smoking-attributable maternal and child health outcomes (MCHOs), such as placenta praevia, placental abruption, preterm birth, low birth weight, and sudden infant death syndrome, to show the role of tobacco control in achieving the Millennium Development Goals. Using data on population, births, smoking, policies, and prevalence of MCHOs, the model is used to assess the effect on both premature deaths and MCHOs of tobacco control policies implemented in Brazil in the last 25 years relative to a counterfactual of policies kept at 1989 levels. Smoking prevalence in Brazil has fallen by an additional 17% for males (16%-19%) and 19% for females (14%-24%) between 2011 and 2015. As a result of the policies implemented since 1989, 7.5 million (6.4-8.5) deaths among adults aged 18 years or older are projected to be averted by 2050. Current policies are also estimated to reduce a cumulative total of 0.9 million (0.4-2.4) adverse MCHOs by 2050. Our findings show the benefits of tobacco control in reducing both SADs and smoking-attributable MCHOs at population level. These benefits may be used to better inform policy makers in low and middle income countries about allocating resources towards tobacco control policies in this important area.

Development and use of the generic WHO/CDC logic model for vitamin and mineral interventions in public health programmes

PubMed Central

De-Regil, Luz Maria; Peña-Rosas, Juan Pablo; Flores-Ayala, Rafael; del Socorro Jefferds, Maria Elena

2015-01-01

Objective Nutrition interventions are critical to achieve the Millennium Development Goals; among them, micronutrient interventions are considered cost-effective and programmatically feasible to scale up, but there are limited tools to communicate the programme components and their relationships. The WHO/CDC (Centers for Disease Control and Prevention) logic model for micronutrient interventions in public health programmes is a useful resource for planning, implementation, monitoring and evaluation of these interventions, which depicts the programme theory and expected relationships between inputs and expected Millennium Development Goals. Design The model was developed by applying principles of programme evaluation, public health nutrition theory and programmatic expertise. The multifaceted and iterative structure validation included feedback from potential users and adaptation by national stakeholders involved in public health programmes' design and implementation. Results In addition to the inputs, main activity domains identified as essential for programme development, implementation and performance include: (i) policy; (ii) products and supply; (iii) delivery systems; (iv) quality control; and (v) behaviour change communication. Outputs encompass the access to and coverage of interventions. Outcomes include knowledge and appropriate use of the intervention, as well as effects on micronutrient intake, nutritional status and health of target populations, for ultimate achievement of the Millennium Development Goals. Conclusions The WHO/CDC logic model simplifies the process of developing a logic model by providing a tool that has identified high-priority areas and concepts that apply to virtually all public health micronutrient interventions. Countries can adapt it to their context in order to support programme design, implementation, monitoring and evaluation for the successful scale-up of nutrition interventions in public health. PMID:23507463

Environmental Management Model for Road Maintenance Operation Involving Community Participation

NASA Astrophysics Data System (ADS)

Triyono, A. R. H.; Setyawan, A.; Sobriyah; Setiono, P.

2017-07-01

Public expectations of Central Java, which is very high on demand fulfillment, especially road infrastructure as outlined in the number of complaints and community expectations tweeter, Short Mail Massage (SMS), e-mail and public reports from various media, Highways Department of Central Java province requires development model of environmental management in the implementation of a routine way by involving the community in order to fulfill the conditions of a representative, may serve road users safely and comfortably. This study used survey method with SEM analysis and SWOT with Latent Independent Variable (X), namely; Public Participation in the regulation, development, construction and supervision of road (PSM); Public behavior in the utilization of the road (PMJ) Provincial Road Service (PJP); Safety in the Provincial Road (KJP); Integrated Management System (SMT) and latent dependent variable (Y) routine maintenance of the provincial road that is integrated with the environmental management system and involve the participation of the community (MML). The result showed the implementation of routine maintenance of road conditions in Central Java province has yet to implement an environmental management by involving the community; Therefore developed environmental management model with the results of H1: Community Participation (PSM) has positive influence on the Model of Environmental Management (MML); H2: Behavior Society in Jalan Utilization (PMJ) positive effect on Model Environmental Management (MML); H3: Provincial Road Service (PJP) positive effect on Model Environmental Management (MML); H4: Safety in the Provincial Road (KJP) positive effect on Model Environmental Management (MML); H5: Integrated Management System (SMT) has positive influence on the Model of Environmental Management (MML). From the analysis obtained formulation model describing the relationship / influence of the independent variables PSM, PMJ, PJP, KJP, and SMT on the dependent variable MML as follows: MML = 0.13 + 0.07 PSM PJP PMJ + 0.09 + 0.19 + 0.48 KJP SMT + e

HydroCube: an entity-relationship hydrogeological data model

NASA Astrophysics Data System (ADS)

Wojda, Piotr; Brouyère, Serge; Derouane, Johan; Dassargues, Alain

2010-12-01

Managing, handling and accessing hydrogeological information depends heavily on the applied hydrogeological data models, which differ between institutions and countries. The effective dissemination of hydrogeological information requires the convergence of such models to make hydrogeological information accessible to multiple users such as universities, water suppliers, and administration and research organisations. Furthermore, because hydrogeological studies are complex, they require a wide variety of high-quality hydrogeological data with appropriate metadata in clearly designed and coherent structures. A need exists, therefore, to develop and implement hydrogeological data models that cover, as much as possible, the full hydrogeological domain. A new data model, called HydroCube, was developed for the Walloon Region in Belgium in 2005. The HydroCube model presents an innovative holistic project-based approach which covers a full set of hydrogeological concepts and features, allowing for effective hydrogeological project management. The model stores data relating to the project locality, hydrogeological equipment, and related observations and measurements. In particular, it focuses on specialized hydrogeological field experiments such as pumping and tracer tests. This logical data model uses entity-relationship diagrams and it has been implemented in the Microsoft Access environment. It has been enriched with a fully functional user interface.

Atmospheric model development in support of SEASAT. Volume 1: Summary of findings

NASA Technical Reports Server (NTRS)

Kesel, P. G.

1977-01-01

Atmospheric analysis and prediction models of varying (grid) resolution were developed. The models were tested using real observational data for the purpose of assessing the impact of grid resolution on short range numerical weather prediction. The discretionary model procedures were examined so that the computational viability of SEASAT data might be enhanced during the conduct of (future) sensitivity tests. The analysis effort covers: (1) examining the procedures for allowing data to influence the analysis; (2) examining the effects of varying the weights in the analysis procedure; (3) testing and implementing procedures for solving the minimization equation in an optimal way; (4) describing the impact of grid resolution on analysis; and (5) devising and implementing numerous practical solutions to analysis problems, generally.

A Flight Dynamics Model for a Multi-Actuated Flexible Rocket Vehicle

NASA Technical Reports Server (NTRS)

Orr, Jeb S.

2011-01-01

A comprehensive set of motion equations for a multi-actuated flight vehicle is presented. The dynamics are derived from a vector approach that generalizes the classical linear perturbation equations for flexible launch vehicles into a coupled three-dimensional model. The effects of nozzle and aerosurface inertial coupling, sloshing propellant, and elasticity are incorporated without restrictions on the position, orientation, or number of model elements. The present formulation is well suited to matrix implementation for large-scale linear stability and sensitivity analysis and is also shown to be extensible to nonlinear time-domain simulation through the application of a special form of Lagrange s equations in quasi-coordinates. The model is validated through frequency-domain response comparison with a high-fidelity planar implementation.

Formulation and Implementation of Nonlinear Integral Equations to Model Neural Dynamics Within the Vertebrate Retina.

PubMed

Eshraghian, Jason K; Baek, Seungbum; Kim, Jun-Ho; Iannella, Nicolangelo; Cho, Kyoungrok; Goo, Yong Sook; Iu, Herbert H C; Kang, Sung-Mo; Eshraghian, Kamran

2018-02-13

Existing computational models of the retina often compromise between the biophysical accuracy and a hardware-adaptable methodology of implementation. When compared to the current modes of vision restoration, algorithmic models often contain a greater correlation between stimuli and the affected neural network, but lack physical hardware practicality. Thus, if the present processing methods are adapted to complement very-large-scale circuit design techniques, it is anticipated that it will engender a more feasible approach to the physical construction of the artificial retina. The computational model presented in this research serves to provide a fast and accurate predictive model of the retina, a deeper understanding of neural responses to visual stimulation, and an architecture that can realistically be transformed into a hardware device. Traditionally, implicit (or semi-implicit) ordinary differential equations (OES) have been used for optimal speed and accuracy. We present a novel approach that requires the effective integration of different dynamical time scales within a unified framework of neural responses, where the rod, cone, amacrine, bipolar, and ganglion cells correspond to the implemented pathways. Furthermore, we show that adopting numerical integration can both accelerate retinal pathway simulations by more than 50% when compared with traditional ODE solvers in some cases, and prove to be a more realizable solution for the hardware implementation of predictive retinal models.

Navier-Stokes computation of compressible turbulent flows with a second order closure, part 1

NASA Technical Reports Server (NTRS)

Haminh, Hieu; Kollmann, Wolfgang; Vandromme, Dany

1990-01-01

A second order closure turbulence model for compressible flows is developed and implemented in a 2D Reynolds-averaged Navier-Stokes solver. From the beginning where a kappa-epsilon turbulence model was implemented in the bidiagonal implicit method of MACCORMACK (referred to as the MAC3 code) to the final stage of implementing a full second order closure in the efficient line Gauss-Seidel algorithm, numerous work was done, individually and collectively. Besides the collaboration itself, the final product of this work is a second order closure derived from the Launder, Reece, and Rodi model to account for near wall effects, which has been called FRAME model, which stands for FRench-AMerican-Effort. During the reporting period, two different problems were worked out. The first was to provide Ames researchers with a reliable compressible boundary layer code including a wide collection of turbulence models for quick testing of new terms, both in two equations and in second order closure (LRR and FRAME). The second topic was to complete the implementation of the FRAME model in the MAC5 code. The work related to these two different contributions is reported. dilatation in presence of stron shocks. This work, which has been conducted during a work at the Center for Turbulence Research with Zeman aimed also to cros-check earlier assumptions by Rubesin and Vandromme.

Efficacy of a Process Improvement Intervention on Delivery of HIV Services to Offenders: A Multisite Trial

PubMed Central

Shafer, Michael S.; Dembo, Richard; del Mar Vega-Debién, Graciela; Pankow, Jennifer; Duvall, Jamieson L.; Belenko, Steven; Frisman, Linda K.; Visher, Christy A.; Pich, Michele; Patterson, Yvonne

2014-01-01

Objectives. We tested a modified Network for the Improvement of Addiction Treatment (NIATx) process improvement model to implement improved HIV services (prevention, testing, and linkage to treatment) for offenders under correctional supervision. Methods. As part of the Criminal Justice Drug Abuse Treatment Studies, Phase 2, the HIV Services and Treatment Implementation in Corrections study conducted 14 cluster-randomized trials in 2011 to 2013 at 9 US sites, where one correctional facility received training in HIV services and coaching in a modified NIATx model and the other received only HIV training. The outcome measure was the odds of successful delivery of an HIV service. Results. The results were significant at the .05 level, and the point estimate for the odds ratio was 2.14. Although overall the results were heterogeneous, the experiments that focused on implementing HIV prevention interventions had a 95% confidence interval that exceeded the no-difference point. Conclusions. Our results demonstrate that a modified NIATx process improvement model can effectively implement improved rates of delivery of some types of HIV services in correctional environments. PMID:25322311

Efficacy of a process improvement intervention on delivery of HIV services to offenders: a multisite trial.

PubMed

Pearson, Frank S; Shafer, Michael S; Dembo, Richard; Del Mar Vega-Debién, Graciela; Pankow, Jennifer; Duvall, Jamieson L; Belenko, Steven; Frisman, Linda K; Visher, Christy A; Pich, Michele; Patterson, Yvonne

2014-12-01

We tested a modified Network for the Improvement of Addiction Treatment (NIATx) process improvement model to implement improved HIV services (prevention, testing, and linkage to treatment) for offenders under correctional supervision. As part of the Criminal Justice Drug Abuse Treatment Studies, Phase 2, the HIV Services and Treatment Implementation in Corrections study conducted 14 cluster-randomized trials in 2011 to 2013 at 9 US sites, where one correctional facility received training in HIV services and coaching in a modified NIATx model and the other received only HIV training. The outcome measure was the odds of successful delivery of an HIV service. The results were significant at the .05 level, and the point estimate for the odds ratio was 2.14. Although overall the results were heterogeneous, the experiments that focused on implementing HIV prevention interventions had a 95% confidence interval that exceeded the no-difference point. Our results demonstrate that a modified NIATx process improvement model can effectively implement improved rates of delivery of some types of HIV services in correctional environments.

Efficient Nonlinear Atomization Model for Thin 3D Free Liquid Films

NASA Astrophysics Data System (ADS)

Mehring, Carsten

2007-03-01

Reviewed is a nonlinear reduced-dimension thin-film model developed by the author and aimed at the prediction of spray formation from thin films such as those found in gas-turbine engines (e.g., prefilming air-blast atomizers), heavy-fuel-oil burners (e.g., rotary-cup atomizers) and in the paint industry (e.g., flat-fan atomizers). Various implementations of the model focusing on different model-aspects, i.e., effect of film geometry, surface tension, liquid viscosity, coupling with surrounding gas-phase flow, influence of long-range intermolecular forces during film rupture are reviewed together with a validation of the nonlinear wave propagation characteristics predicted by the model for inviscid planar films using a two-dimensional vortex- method. An extension and generalization of the current nonlinear film model for implementation into a commercial flow- solver is outlined.

Aurally-adequate time-frequency analysis for scattered sound in auditoria

NASA Astrophysics Data System (ADS)

Norris, Molly K.; Xiang, Ning; Kleiner, Mendel

2005-04-01

The goal of this work was to apply an aurally-adequate time-frequency analysis technique to the analysis of sound scattering effects in auditoria. Time-frequency representations were developed as a motivated effort that takes into account binaural hearing, with a specific implementation of interaural cross-correlation process. A model of the human auditory system was implemented in the MATLAB platform based on two previous models [A. Härmä and K. Palomäki, HUTear, Espoo, Finland; and M. A. Akeroyd, A. Binaural Cross-correlogram Toolbox for MATLAB (2001), University of Sussex, Brighton]. These stages include proper frequency selectivity, the conversion of the mechanical motion of the basilar membrane to neural impulses, and binaural hearing effects. The model was then used in the analysis of room impulse responses with varying scattering characteristics. This paper discusses the analysis results using simulated and measured room impulse responses. [Work supported by the Frank H. and Eva B. Buck Foundation.

Family group conferencing in youth care: characteristics of the decision making model, implementation and effectiveness of the Family Group (FG) plans.

PubMed

Asscher, Jessica J; Dijkstra, Sharon; Stams, Geert Jan J M; Deković, Maja; Creemers, Hanneke E

2014-02-11

The model of Family group-conferencing (FG-c) for decision making in child welfare has rapidly spread over the world during the past decades. Its popularity is likely to be caused by its philosophy, emphasizing participation and autonomy of families, rather than based on positive research outcomes. Conclusive evidence regarding the (cost) effectiveness of FG-c is not yet available. The aim of this protocol is to describe the design of a study to evaluate the (cost) effectiveness of FG-c as compared to Treatment as Usual. The effectiveness of FG-c will be examined by means of a Randomized Controlled Trial. A multi-informant approach will be used to assess child safety as the primary outcome, and commitment of the social network, perceived control/ empowerment; family functioning and use of professional care as secondary outcomes. Implementation of FG-c, characteristics of family manager and family will be examined as moderators of effectiveness. Studying the effectiveness of Fg-c is crucial now the method is being implemented all over the world as a decision making model in child and youth care. Policy makers should be informed whether the ideals of participation in society and the right for self-determination indeed result in more effective care plans, and the money spent on FG-c is warranted. Dutch Trial Register number NTR4320. The design of this study is approved by the independent Ethical Committee of the Faculty of Social and Behavioral Sciences of The University of Amsterdam (approval number: 2013-POWL-3308). This study is financially supported by a grant from ZonMw, The Netherlands Organization for Health Research and Development, grant number: 70-72900-98-13158.

Family group conferencing in youth care: characteristics of the decision making model, implementation and effectiveness of the Family Group (FG) plans

PubMed Central

2014-01-01

Background The model of Family group-conferencing (FG-c) for decision making in child welfare has rapidly spread over the world during the past decades. Its popularity is likely to be caused by its philosophy, emphasizing participation and autonomy of families, rather than based on positive research outcomes. Conclusive evidence regarding the (cost) effectiveness of FG-c is not yet available. The aim of this protocol is to describe the design of a study to evaluate the (cost) effectiveness of FG-c as compared to Treatment as Usual. Method/Design The effectiveness of FG-c will be examined by means of a Randomized Controlled Trial. A multi-informant approach will be used to assess child safety as the primary outcome, and commitment of the social network, perceived control/ empowerment; family functioning and use of professional care as secondary outcomes. Implementation of FG-c, characteristics of family manager and family will be examined as moderators of effectiveness. Discussion Studying the effectiveness of Fg-c is crucial now the method is being implemented all over the world as a decision making model in child and youth care. Policy makers should be informed whether the ideals of participation in society and the right for self-determination indeed result in more effective care plans, and the money spent on FG-c is warranted. Trial registration Dutch Trial Register number NTR4320. The design of this study is approved by the independent Ethical Committee of the Faculty of Social and Behavioral Sciences of The University of Amsterdam (approval number: 2013-POWL-3308). This study is financially supported by a grant from ZonMw, The Netherlands Organization for Health Research and Development, grant number: 70-72900-98-13158. PMID:24517167

Modeling the Effect of Water, Sanitation, and Hygiene and Oral Cholera Vaccine Implementation in Haiti

PubMed Central

Chun-Hai Fung, Isaac; Fitter, David L.; Borse, Rebekah H.; Meltzer, Martin I.; Tappero, Jordan W.

2013-01-01

In 2010, toxigenic Vibrio cholerae was newly introduced to Haiti. Because resources are limited, decision-makers need to understand the effect of different preventive interventions. We built a static model to estimate the potential number of cholera cases averted through improvements in coverage in water, sanitation and hygiene (WASH) (i.e., latrines, point-of-use chlorination, and piped water), oral cholera vaccine (OCV), or a combination of both. We allowed indirect effects and non-linear relationships between effect and population coverage. Because there are limited incidence data for endemic cholera in Haiti, we estimated the incidence of cholera over 20 years in Haiti by using data from Malawi. Over the next two decades, scalable WASH interventions could avert 57,949–78,567 cholera cases, OCV could avert 38,569–77,636 cases, and interventions that combined WASH and OCV could avert 71,586–88,974 cases. Rate of implementation is the most influential variable, and combined approaches maximized the effect. PMID:24106189

A top-down design methodology and its implementation for VCSEL-based optical links design

NASA Astrophysics Data System (ADS)

Li, Jiguang; Cao, Mingcui; Cai, Zilong

2005-01-01

In order to find the optimal design for a given specification of an optical communication link, an integrated simulation of electronic, optoelectronic, and optical components of a complete system is required. It is very important to be able to simulate at both system level and detailed model level. This kind of model is feasible due to the high potential of Verilog-AMS language. In this paper, we propose an effective top-down design methodology and employ it in the development of a complete VCSEL-based optical links simulation. The principle of top-down methodology is that the development would proceed from the system to device level. To design a hierarchical model for VCSEL based optical links, the design framework is organized in three levels of hierarchy. The models are developed, and implemented in Verilog-AMS. Therefore, the model parameters are fitted to measured data. A sample transient simulation demonstrates the functioning of our implementation. Suggestions for future directions in top-down methodology used for optoelectronic systems technology are also presented.

Managing maritime automobile terminals: an approach toward decision-support model for higher productivity

NASA Astrophysics Data System (ADS)

Beškovnik, Bojan; Twrdy, Elen

2011-12-01

The article describes actions and strategies to obtain higher productivity on maritime automobile terminals. The main focus is on elaboration of efficient and effective organizational structure to model and implement short-term, mid-term and long-term strategies. In addition, with an empiric approach we combined the analyses of current findings in important scientific papers and our acknowledgments in practical research of north Adriatic maritime automobile terminals. The main goal is to propose actions towards increasing system's productivity. Based on our research of the north Adriatic maritime automobile terminals and with Lambert's model an in-deep analysis of limiting factors, user's expectations and possibilities for productivity increase has been performed. Moreover, with our acknowledgments a three-level decision-support model is presented. With an adequate model implementation it is possible to efficiently develop and implement different strategies of productivity measurement and productivity increase, especially in the fields of internal transport productivity, entrance/exit truck gates operations and wagon manipulations. According to our observation a significant increase might be achieved in all three fields.

D Modelling and Visualization Based on the Unity Game Engine - Advantages and Challenges

NASA Astrophysics Data System (ADS)

Buyuksalih, I.; Bayburt, S.; Buyuksalih, G.; Baskaraca, A. P.; Karim, H.; Rahman, A. A.

2017-11-01

3D City modelling is increasingly popular and becoming valuable tools in managing big cities. Urban and energy planning, landscape, noise-sewage modelling, underground mapping and navigation are among the applications/fields which really depend on 3D modelling for their effectiveness operations. Several research areas and implementation projects had been carried out to provide the most reliable 3D data format for sharing and functionalities as well as visualization platform and analysis. For instance, BIMTAS company has recently completed a project to estimate potential solar energy on 3D buildings for the whole Istanbul and now focussing on 3D utility underground mapping for a pilot case study. The research and implementation standard on 3D City Model domain (3D data sharing and visualization schema) is based on CityGML schema version 2.0. However, there are some limitations and issues in implementation phase for large dataset. Most of the limitations were due to the visualization, database integration and analysis platform (Unity3D game engine) as highlighted in this paper.

Dose response of alanine detectors irradiated with carbon ion beams

DOE Office of Scientific and Technical Information (OSTI.GOV)

Herrmann, Rochus; Jaekel, Oliver; Palmans, Hugo

Purpose: The dose response of the alanine detector shows a dependence on particle energy and type when irradiated with ion beams. The purpose of this study is to investigate the response behavior of the alanine detector in clinical carbon ion beams and compare the results to model predictions. Methods: Alanine detectors have been irradiated with carbon ions with an energy range of 89-400 MeV/u. The relative effectiveness of alanine has been measured in this regime. Pristine and spread out Bragg peak depth-dose curves have been measured with alanine dosimeters. The track structure based alanine response model developed by Hansen andmore » Olsen has been implemented in the Monte Carlo code FLUKA and calculations were compared to experimental results. Results: Calculations of the relative effectiveness deviate less than 5% from the measured values for monoenergetic beams. Measured depth-dose curves deviate from predictions in the peak region, most pronounced at the distal edge of the peak. Conclusions: The used model and its implementation show a good overall agreement for quasimonoenergetic measurements. Deviations in depth-dose measurements are mainly attributed to uncertainties of the detector geometry implemented in the Monte Carlo simulations.« less

Effects of implementing electronic medical records on primary care billings and payments: a before–after study

PubMed Central

Shultz, Susan E.; Tu, Karen

2013-01-01

Background Several barriers to the adoption of electronic medical records (EMRs) by family physicians have been discussed, including the costs of implementation, impact on work flow and loss of productivity. We examined billings and payments received before and after implementation of EMRs among primary care physicians in the province of Ontario. We also examined billings and payments before and after switching from a fee-for-service to a capitation payment model, because EMR implementation coincided with primary care reform in the province. Methods We used information from the Electronic Medical Record Administrative Data Linked Database (EMRALD) to conduct a retrospective before–after study. The EMRALD database includes EMR data extracted from 183 community-based family physicians in Ontario. We included EMRALD physicians who were eligible to bill the Ontario Health Insurance Plan at least 18 months before and after the date they started using EMRs and had completed a full 18-month period before Mar. 31, 2011, when the study stopped. The main outcome measures were physicians’ monthly billings and payments for office visits and total annual payments received from all government sources. Two index dates were examined: the date physicians started using EMRs and were in a stable payment model (n = 64) and the date physicians switched from a fee-for-service to a capitation payment model (n = 42). Results Monthly billings and payments for office visits did not decrease after the implementation of EMRs. The overall weighted mean annual payment from all government sources increased by 27.7% after the start of EMRs among EMRALD physicians; an increase was also observed among all other primary care physicians in Ontario, but it was not as great (14.4%). There was a decline in monthly billings and payments for office visits after physicians changed payment models, but an increase in their overall annual government payments. Interpretation Implementation of EMRs by primary care physicians did not result in decreased billings or government payments for office visits. Further economic analyses are needed to measure the effects of EMR implementation on productivity and the costs of implementing an EMR system, including the costs of nonclinical work by physicians and their staff. PMID:25077111

Implementing a Dominican Model of Leadership

ERIC Educational Resources Information Center

Otte, Suzanne

2015-01-01

Leadership theories that rely on personal traits, situations, and actions were developed for an industrial world and have become less effective as the world becomes more globalized, networked, and collaborative (Komives et al. 2005). Values-centered models of leadership highlighting collaboration, inclusiveness, empowerment, and ethics have…

Participant Modelling Training Programme: Tutoring the Paraprofessional.

ERIC Educational Resources Information Center

Romi, Shlomo; Teichman, Meir

1998-01-01

A participant-modeling training program designed to improve self-efficacy and the ability to cope effectively with stressful situations was implemented with young paraprofessional counselors who work in conjunction with youth-advancement counselors. Results are presented for self-efficacy and motivation variables. Unexpected findings are…

ProvenCare-Psoriasis: A disease management model to optimize care.

PubMed

Gionfriddo, Michael R; Pulk, Rebecca A; Sahni, Dev R; Vijayanagar, Sonal G; Chronowski, Joseph J; Jones, Laney K; Evans, Michael A; Feldman, Steven R; Pride, Howard

2018-03-15

There are a variety of evidence-based treatments available for psoriasis. The transition of this evidence into practice is challenging. In this article, we describe the design of our disease management approach for Psoriasis (ProvenCare®) and present preliminary evidence of the effect of its implementation. In designing our approach, we identified three barriers to optimal care: 1) lack of a standardized and discrete disease activity measure within the electronic health record, 2) lack of a system-wide, standardized approach to care, and 3) non-uniform financial access to appropriate non-pharmacologic treatments. We implemented several solutions, which collectively form our approach. We standardized the documentation of clinical data such as body surface area (BSA), created a disease management algorithm for psoriasis, and aligned incentives to facilitate the implementation of the algorithm. This approach provides more coordinated, cost effective care for psoriasis, while being acceptable to key stakeholders. Future work will examine the effect of the implementation of our approach on important clinical and patient outcomes.

A tailored implementation strategy to reduce the duration of intravenous antibiotic treatment in community-acquired pneumonia: a controlled before-and-after study.

PubMed

Engel, M F; Bruns, A H W; Hulscher, M E J L; Gaillard, C A J M; Sankatsing, S U C; Teding van Berkhout, F; Emmelot-Vonk, M H; Kuck, E M; Steeghs, M H M; den Breeijen, J H; Stellato, R K; Hoepelman, A I M; Oosterheert, J J

2014-11-01

We previously showed that 40 % of clinically stable patients hospitalised for community-acquired pneumonia (CAP) are not switched to oral therapy in a timely fashion because of physicians' barriers. We aimed to decrease this proportion by implementing a novel protocol. In a multi-centre controlled before-and-after study, we evaluated the effect of an implementation strategy tailored to previously identified barriers to an early switch. In three Dutch hospitals, a protocol dictating a timely switch strategy was implemented using educational sessions, pocket reminders and active involvement of nursing staff. Primary outcomes were the proportion of patients switched timely and the duration of intravenous antibiotic therapy. Length of hospital stay (LOS), patient outcome, education effects 6 months after implementation and implementation costs were secondary outcomes. Statistical analysis was performed using mixed-effects models. Prior to implementation, 146 patients were included and, after implementation, 213 patients were included. The case mix was comparable. The implementation did not change the proportion of patients switched on time (66 %). The median duration of intravenous antibiotic administration decreased from 4 days [interquartile range (IQR) 2-5] to 3 days (IQR 2-4), a decrease of 21 % [95 % confidence interval (CI) 11 %; 30 %) in the multi-variable analysis. LOS and patient outcome were comparable before and after implementation. Forty-three percent (56/129) of physicians attended the educational sessions. After 6 months, 24 % (10/42) of the interviewed attendees remembered the protocol's main message. Cumulative implementation costs were 5,798 (20/reduced intravenous treatment day). An implementation strategy tailored to previously identified barriers reduced the duration of intravenous antibiotic administration in hospitalised CAP patients by 1 day, at minimal cost.

Panacea or diagnosis? Imaginaries of innovation and the 'MIT model' in three political cultures.

PubMed

Pfotenhauer, Sebastian; Jasanoff, Sheila

2017-12-01

Innovation studies continue to struggle with an apparent disconnect between innovation's supposedly universal dynamics and a sense that policy frameworks and associated instruments of innovation are often ineffectual or even harmful when transported across regions or countries. Using a cross-country comparative analysis of three implementations of the 'MIT model' of innovation in the UK, Portugal and Singapore, we show how key features in the design, implementation and performance of the model cannot be explained as mere variations on an identical solution to the same underlying problem. We draw on the concept of sociotechnical imaginaries to show how implementations of the 'same' innovation model - and with it the notion of 'innovation' itself - are co-produced with locally specific diagnoses of a societal deficiency and equally specific understandings of acceptable remedies. Our analysis thus flips the conventional notion of 'best-practice transfer' on its head: Instead of asking 'how well' an innovation model has been implemented, we analyze the differences among the three importations to reveal the idiosyncratic ways in which each country imagines the purpose of innovation. We replace the notion of innovation as a 'panacea' - a universal fix for all social woes - with that of innovation-as-diagnosis in which a particular 'cure' is 'prescribed' for a 'diagnosed' societal 'pathology,' which may in turn trigger 'reactions' within the receiving body. This approach offers new possibilities for theorizing how and where culture matters in innovation policy. It suggests that the 'successes' and 'failures' of innovation models are not a matter of how well societies are able to implement a sound, universal model, but more about how effectively they articulate their imaginaries of innovation and tailor their strategies accordingly.

A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research.

PubMed

Meeker, Daniella; Jiang, Xiaoqian; Matheny, Michael E; Farcas, Claudiu; D'Arcy, Michel; Pearlman, Laura; Nookala, Lavanya; Day, Michele E; Kim, Katherine K; Kim, Hyeoneui; Boxwala, Aziz; El-Kareh, Robert; Kuo, Grace M; Resnic, Frederic S; Kesselman, Carl; Ohno-Machado, Lucila

2015-11-01

Centralized and federated models for sharing data in research networks currently exist. To build multivariate data analysis for centralized networks, transfer of patient-level data to a central computation resource is necessary. The authors implemented distributed multivariate models for federated networks in which patient-level data is kept at each site and data exchange policies are managed in a study-centric manner. The objective was to implement infrastructure that supports the functionality of some existing research networks (e.g., cohort discovery, workflow management, and estimation of multivariate analytic models on centralized data) while adding additional important new features, such as algorithms for distributed iterative multivariate models, a graphical interface for multivariate model specification, synchronous and asynchronous response to network queries, investigator-initiated studies, and study-based control of staff, protocols, and data sharing policies. Based on the requirements gathered from statisticians, administrators, and investigators from multiple institutions, the authors developed infrastructure and tools to support multisite comparative effectiveness studies using web services for multivariate statistical estimation in the SCANNER federated network. The authors implemented massively parallel (map-reduce) computation methods and a new policy management system to enable each study initiated by network participants to define the ways in which data may be processed, managed, queried, and shared. The authors illustrated the use of these systems among institutions with highly different policies and operating under different state laws. Federated research networks need not limit distributed query functionality to count queries, cohort discovery, or independently estimated analytic models. Multivariate analyses can be efficiently and securely conducted without patient-level data transport, allowing institutions with strict local data storage requirements to participate in sophisticated analyses based on federated research networks. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.

An Open Source modular platform for hydrological model implementation

NASA Astrophysics Data System (ADS)

Kolberg, Sjur; Bruland, Oddbjørn

2010-05-01

An implementation framework for setup and evaluation of spatio-temporal models is developed, forming a highly modularized distributed model system. The ENKI framework allows building space-time models for hydrological or other environmental purposes, from a suite of separately compiled subroutine modules. The approach makes it easy for students, researchers and other model developers to implement, exchange, and test single routines in a fixed framework. The open-source license and modular design of ENKI will also facilitate rapid dissemination of new methods to institutions engaged in operational hydropower forecasting or other water resource management. Written in C++, ENKI uses a plug-in structure to build a complete model from separately compiled subroutine implementations. These modules contain very little code apart from the core process simulation, and are compiled as dynamic-link libraries (dll). A narrow interface allows the main executable to recognise the number and type of the different variables in each routine. The framework then exposes these variables to the user within the proper context, ensuring that time series exist for input variables, initialisation for states, GIS data sets for static map data, manually or automatically calibrated values for parameters etc. ENKI is designed to meet three different levels of involvement in model construction: • Model application: Running and evaluating a given model. Regional calibration against arbitrary data using a rich suite of objective functions, including likelihood and Bayesian estimation. Uncertainty analysis directed towards input or parameter uncertainty. o Need not: Know the model's composition of subroutines, or the internal variables in the model, or the creation of method modules. • Model analysis: Link together different process methods, including parallel setup of alternative methods for solving the same task. Investigate the effect of different spatial discretization schemes. o Need not: Write or compile computer code, handle file IO for each modules, • Routine implementation and testing. Implementation of new process-simulating methods/equations, specialised objective functions or quality control routines, testing of these in an existing framework. o Need not: Implement user or model interface for the new routine, IO handling, administration of model setup and run, calibration and validation routines etc. From being developed for Norway's largest hydropower producer Statkraft, ENKI is now being turned into an Open Source project. At the time of writing, the licence and the project administration is not established. Also, it remains to port the application to other compilers and computer platforms. However, we hope that ENKI will prove useful for both academic and operational users.

Barriers and facilitators for the implementation of primary prevention and health promotion activities in primary care: a synthesis through meta-ethnography.

PubMed

Rubio-Valera, Maria; Pons-Vigués, Mariona; Martínez-Andrés, María; Moreno-Peral, Patricia; Berenguera, Anna; Fernández, Ana

2014-01-01

Evidence supports the implementation of primary prevention and health promotion (PP&HP) activities but primary care (PC) professionals show resistance to implementing these activities. The aim was to synthesize the available qualitative research on barriers and facilitators identified by PC physicians and nurses in the implementation of PP&HP in adults. A systematic search of three databases was conducted and supported by manual searches. The 35 articles included were translated into each other and a new interpretation of the concepts extracted was generated. The factors affecting the implementation of PP&HP activities in PC according to professionals were fitted into a five-level ecological model: intrapersonal factors, interpersonal processes, institutional factors, community factors and public policy. At the intrapersonal level we find professionals' beliefs about PP&HP, experiences, skills and knowledge, and selfconcept. The attitudes and behavior towards PP&HP of patients, specialists, practice managers and colleagues (interpersonal factors) affect the feasibility of implementing PP&HP. Institutional level: PC is perceived as well-placed to implement PP&HP but workload, lack of time and referral resources, and the predominance of the biomedical model (which prioritizes disease treatment) hamper the implementation of PP&HP. The effectiveness of financial incentives and tools such as guidelines and alarms/reminders is conditioned by professionals' attitudes to them. Community factors include patients' social and cultural characteristics (religion, financial resources, etc.), local referral resources, mass-media messages and pharmaceutical industry campaigns, and the importance given to PP&HP in the curriculum in university. Finally, policies affect the distribution of resources, thus affecting the implementation of PP&HP. Research on barriers and facilitators in the implementation of PP&HP activities in multirisk management is scarce. The conceptual overview provided by this synthesis resulted in the development of practical recommendations for the design of PP&HP in PC. However, the effectiveness of these recommendations needs to be demonstrated.

Barriers and Facilitators for the Implementation of Primary Prevention and Health Promotion Activities in Primary Care: A Synthesis through Meta-Ethnography

PubMed Central

Rubio-Valera, Maria; Pons-Vigués, Mariona; Martínez-Andrés, María; Moreno-Peral, Patricia; Berenguera, Anna; Fernández, Ana

2014-01-01

Background Evidence supports the implementation of primary prevention and health promotion (PP&HP) activities but primary care (PC) professionals show resistance to implementing these activities. The aim was to synthesize the available qualitative research on barriers and facilitators identified by PC physicians and nurses in the implementation of PP&HP in adults. Methods and Findings A systematic search of three databases was conducted and supported by manual searches. The 35 articles included were translated into each other and a new interpretation of the concepts extracted was generated. The factors affecting the implementation of PP&HP activities in PC according to professionals were fitted into a five-level ecological model: intrapersonal factors, interpersonal processes, institutional factors, community factors and public policy. At the intrapersonal level we find professionals' beliefs about PP&HP, experiences, skills and knowledge, and selfconcept. The attitudes and behavior towards PP&HP of patients, specialists, practice managers and colleagues (interpersonal factors) affect the feasibility of implementing PP&HP. Institutional level: PC is perceived as well-placed to implement PP&HP but workload, lack of time and referral resources, and the predominance of the biomedical model (which prioritizes disease treatment) hamper the implementation of PP&HP. The effectiveness of financial incentives and tools such as guidelines and alarms/reminders is conditioned by professionals' attitudes to them. Community factors include patients' social and cultural characteristics (religion, financial resources, etc.), local referral resources, mass-media messages and pharmaceutical industry campaigns, and the importance given to PP&HP in the curriculum in university. Finally, policies affect the distribution of resources, thus affecting the implementation of PP&HP. Conclusions Research on barriers and facilitators in the implementation of PP&HP activities in multirisk management is scarce. The conceptual overview provided by this synthesis resulted in the development of practical recommendations for the design of PP&HP in PC. However, the effectiveness of these recommendations needs to be demonstrated. PMID:24586867

Practical Guidance for Conducting Mediation Analysis With Multiple Mediators Using Inverse Odds Ratio Weighting

PubMed Central

Nguyen, Quynh C.; Osypuk, Theresa L.; Schmidt, Nicole M.; Glymour, M. Maria; Tchetgen Tchetgen, Eric J.

2015-01-01

Despite the recent flourishing of mediation analysis techniques, many modern approaches are difficult to implement or applicable to only a restricted range of regression models. This report provides practical guidance for implementing a new technique utilizing inverse odds ratio weighting (IORW) to estimate natural direct and indirect effects for mediation analyses. IORW takes advantage of the odds ratio's invariance property and condenses information on the odds ratio for the relationship between the exposure (treatment) and multiple mediators, conditional on covariates, by regressing exposure on mediators and covariates. The inverse of the covariate-adjusted exposure-mediator odds ratio association is used to weight the primary analytical regression of the outcome on treatment. The treatment coefficient in such a weighted regression estimates the natural direct effect of treatment on the outcome, and indirect effects are identified by subtracting direct effects from total effects. Weighting renders treatment and mediators independent, thereby deactivating indirect pathways of the mediators. This new mediation technique accommodates multiple discrete or continuous mediators. IORW is easily implemented and is appropriate for any standard regression model, including quantile regression and survival analysis. An empirical example is given using data from the Moving to Opportunity (1994–2002) experiment, testing whether neighborhood context mediated the effects of a housing voucher program on obesity. Relevant Stata code (StataCorp LP, College Station, Texas) is provided. PMID:25693776

Thinking outside ISD: A management model for instructional design

NASA Astrophysics Data System (ADS)

Taylor, Tony Dewayne

The purpose of this study was to examine the effectiveness of an instructional system management-level model proposed by the author designed to orchestrate the efficient development and implementation of customer requested curriculum. The three phases of systems-based model are designed to ensure delivery of high quality and timely instruction are: (1) the assessment and documentation of organizational training requirements; (2) project management control of curriculum development; and (3) the implementation of relevant instruction by competent instructors. This model also provides (4) measurable and quantifiable course evaluation results to justify return on investment and validate its importance with respect to the customer's organizational strategic objectives. The theoretical approach for this study was systems theory-based due to the nature of the instructional systems design model and the systematic design of the management model. The study was accomplished using single-case study application of qualitative style of inquiry as described by Patton (2002). Qualitative inquiry was selected to collect and analyze participant holistic perspective assessment of effectiveness, relevance, and timeliness of the instructional design management model. Participants for this study included five managers, five subject matter experts, and six students assigned to a military organization responsible for the collection of hydrographic data for the U.S. Navy. Triangulation of data sources within the qualitative framework of the study incorporated the three participant groups---managers, SMEs, and students---incorporated multiple views of the course development and implementation to validate the findings and the remove researcher bias. Qualitative coding was accomplished by importing transcribed interviews into Microsoft Excel and sorted using Auto-Filter. The coded interviews indicated effective functionality in the views of the model from each of the three participant groups. Results from a pre-test/post-test comparative analysis indicated a significant difference between the pre-test and post-test mean at the p < .001 for the six students. Although the subject of the case study was within a military training environment, the application of the proposed instructional systems managerial model can be applied to the design, development, delivery, and assessment of instructional material in any line of study where quantifiable effective learning is the goal.

A Longitudinal Assessment of Gifted Students' Learning Using the Integrated Curriculum Model (Icm): Impacts and Perceptions of the William and Mary Language Arts and Science Curriculum

ERIC Educational Resources Information Center

Feng, Annie Xuemei; Van Tassel-Baska, Joyce; Quek, Chwee; Bai, Wenyu; O'Neill, Barbara

2005-01-01

This study examines the effects over time of implementing the William and Mary language arts and science curriculum for gifted learners designed around the Integrated Curriculum Model (ICM) in one suburban school district. It also analyzes stakeholders' perceptions of the effectiveness of the curriculum. Findings suggest that gifted student…

Inclusive practices for children and youths with communication disorders. Ad Hoc Committee on Inclusion for students with Communication Disorders.

PubMed

1996-01-01

An array of inclusive service delivery models is recommended for the implementation of services to children and youths with communication disorders. Inclusive practices are intervention services that are based on the unique and specific needs of the individual, and provided in a context that is least restrictive. There are a variety of models through which inclusive practices can be provided, including a direct (pull-out) program, in classroom-based service delivery, community-based models, and consultative interventions. These models should be seen as flexible options that may change depending on student needs. The speech-language pathologist, in collaboration with parents, the student, teachers, support personnel, and administrators, is in the ideal position to decide the model or combination of models that best serves each individual student's communication needs. Implementation of inclusive practices requires consideration of multiple issues, including general education reform, cost effectiveness, and program efficacy. In addition, administrative and school system support, personnel qualifications, staff development, flexible scheduling, and the effects of inclusive practices on all learners need to be considered. At present, available research suggests guarded optimism for the effectiveness of inclusive practices. However, many critical questions have not yet been addressed and additional research is needed to assess the full impact of inclusive practices for students with communication disorders.

Impact of Improvements in Volcanic Implementation on Atmospheric Chemistry and Climate in the GISS-E2 Model

NASA Technical Reports Server (NTRS)

Tsigaridis, Kostas; LeGrande, Allegra; Bauer, Susanne

2015-01-01

The representation of volcanic eruptions in climate models introduces some of the largest errors when evaluating historical simulations, partly due to the crude model parameterizations. We will show preliminary results from the Goddard Institute for Space Studies (GISS)-E2 model comparing traditional highly parameterized volcanic implementation (specified Aerosol Optical Depth, Effective Radius) to deploying the full aerosol microphysics module MATRIX and directly emitting SO2 allowing us the prognosically determine the chemistry and climate impact. We show a reasonable match in aerosol optical depth, effective radius, and forcing between the full aerosol implementation and reconstructions/observations of the Mt. Pinatubo 1991 eruption, with a few areas as targets for future improvement. This allows us to investigate not only the climate impact of the injection of volcanic aerosols, but also influences on regional water vapor, O3, and OH distributions. With the skill of the MATRIX volcano implementation established, we explore (1) how the height of the injection column of SO2 influence atmospheric chemistry and climate response, (2) how the initial condition of the atmosphere influences the climate and chemistry impact of the eruption with a particular focus on how ENSO and QBO and (3) how the coupled chemistry could mitigate the climate signal for much larger eruptions (i.e. the 1258 eruption, reconstructed to be approximately 10x Pinatubo). During each sensitivity experiment we assess the impact on profiles of water vapor, O3, and OH, and assess how the eruption impacts the budget of each.

12 CFR Appendix A to Part 1720 - Policy Guidance; Minimum Safety and Soundness Requirements

Code of Federal Regulations, 2010 CFR

2010-01-01

..., DEPARTMENT OF HOUSING AND URBAN DEVELOPMENT SAFETY AND SOUNDNESS SAFETY AND SOUNDNESS Pt. 1720, App. A... effectively and to model the effect of differing interest rate scenarios on the Enterprise's financial... are implemented effectively, and that the Enterprise's organization structure and assignment of...

Comprehensive School Reform and Achievement: A Meta-Analysis

ERIC Educational Resources Information Center

Borman, Geoffrey D.; Hewes, Gina M.; Overman, Laura T.; Brown, Shelly

2003-01-01

This meta-analysis reviews research on the achievement effects of comprehensive school reform (CSR) and summarizes the specific effects of 29 widely implemented models. There are limitations on the overall quantity and quality of the research base, but the overall effects of CSR appear promising. The combined quantity, quality, and statistical…

Bayesian Estimation and Inference Using Stochastic Electronics

PubMed Central

Thakur, Chetan Singh; Afshar, Saeed; Wang, Runchun M.; Hamilton, Tara J.; Tapson, Jonathan; van Schaik, André

2016-01-01

In this paper, we present the implementation of two types of Bayesian inference problems to demonstrate the potential of building probabilistic algorithms in hardware using single set of building blocks with the ability to perform these computations in real time. The first implementation, referred to as the BEAST (Bayesian Estimation and Stochastic Tracker), demonstrates a simple problem where an observer uses an underlying Hidden Markov Model (HMM) to track a target in one dimension. In this implementation, sensors make noisy observations of the target position at discrete time steps. The tracker learns the transition model for target movement, and the observation model for the noisy sensors, and uses these to estimate the target position by solving the Bayesian recursive equation online. We show the tracking performance of the system and demonstrate how it can learn the observation model, the transition model, and the external distractor (noise) probability interfering with the observations. In the second implementation, referred to as the Bayesian INference in DAG (BIND), we show how inference can be performed in a Directed Acyclic Graph (DAG) using stochastic circuits. We show how these building blocks can be easily implemented using simple digital logic gates. An advantage of the stochastic electronic implementation is that it is robust to certain types of noise, which may become an issue in integrated circuit (IC) technology with feature sizes in the order of tens of nanometers due to their low noise margin, the effect of high-energy cosmic rays and the low supply voltage. In our framework, the flipping of random individual bits would not affect the system performance because information is encoded in a bit stream. PMID:27047326

Development of a diabetes care management curriculum in a family practice residency program.

PubMed

Nuovo, Jim; Balsbaugh, Thomas; Barton, Sue; Davidson, Ellen; Fox-Garcia, Jane; Gandolfo, Angela; Levich, Bridget; Seibles, Joann

2004-01-01

Improving the quality of care for patients with chronic illness has become a high priority. Implementing training programs in disease management (DM) so the next generation of physicians can manage chronic illness more effectively is challenging. Residency training programs have no specific mandate to implement DM training. Additional barriers at the training facility include: 1) lack of a population-based perspective for service delivery; 2) weak support for self-management of illness; 3) incomplete implementation due to physician resistance or inertia; and 4) few incentives to change practices and behaviors. In order to overcome these barriers, training programs must take the initiative to implement DM training that addresses each of these issues. We report the implementation of a chronic illness management curriculum based on the Improving Chronic Illness Care (ICIC) Model. Features of this process included both patient care and learner objectives. These were: development of a multidisciplinary diabetes DM team; development of a patient registry; development of diabetes teaching clinics in the family practice center (nutrition, general management classes, and one-on-one teaching); development of a group visit model; and training the residents in the elements of the ICIC Model, ie, the community, the health system, self-management support, delivery system design, decision support, and clinical information systems. Barriers to implementing these curricular changes were: the development of a patient registry; buy-in from faculty, residents, clinic leadership, staff, and patients for the chronic care model; the ability to bill for services and maintain clinical productivity; and support from the health system key stakeholders for sustainability. Unique features of each training site will dictate differences in emphasis and structure; however, the core principles of the ICIC Model in enhancing self-management may be generalized to all sites.

Bayesian Estimation and Inference Using Stochastic Electronics.

PubMed

Thakur, Chetan Singh; Afshar, Saeed; Wang, Runchun M; Hamilton, Tara J; Tapson, Jonathan; van Schaik, André

2016-01-01

In this paper, we present the implementation of two types of Bayesian inference problems to demonstrate the potential of building probabilistic algorithms in hardware using single set of building blocks with the ability to perform these computations in real time. The first implementation, referred to as the BEAST (Bayesian Estimation and Stochastic Tracker), demonstrates a simple problem where an observer uses an underlying Hidden Markov Model (HMM) to track a target in one dimension. In this implementation, sensors make noisy observations of the target position at discrete time steps. The tracker learns the transition model for target movement, and the observation model for the noisy sensors, and uses these to estimate the target position by solving the Bayesian recursive equation online. We show the tracking performance of the system and demonstrate how it can learn the observation model, the transition model, and the external distractor (noise) probability interfering with the observations. In the second implementation, referred to as the Bayesian INference in DAG (BIND), we show how inference can be performed in a Directed Acyclic Graph (DAG) using stochastic circuits. We show how these building blocks can be easily implemented using simple digital logic gates. An advantage of the stochastic electronic implementation is that it is robust to certain types of noise, which may become an issue in integrated circuit (IC) technology with feature sizes in the order of tens of nanometers due to their low noise margin, the effect of high-energy cosmic rays and the low supply voltage. In our framework, the flipping of random individual bits would not affect the system performance because information is encoded in a bit stream.

SimpleBox 4.0: Improving the model while keeping it simple….

PubMed

Hollander, Anne; Schoorl, Marian; van de Meent, Dik

2016-04-01

Chemical behavior in the environment is often modeled with multimedia fate models. SimpleBox is one often-used multimedia fate model, firstly developed in 1986. Since then, two updated versions were published. Based on recent scientific developments and experience with SimpleBox 3.0, a new version of SimpleBox was developed and is made public here: SimpleBox 4.0. In this new model, eight major changes were implemented: removal of the local scale and vegetation compartments, addition of lake compartments and deep ocean compartments (including the thermohaline circulation), implementation of intermittent rain instead of drizzle and of depth dependent soil concentrations, adjustment of the partitioning behavior for organic acids and bases as well as of the value for enthalpy of vaporization. In this paper, the effects of the model changes in SimpleBox 4.0 on the predicted steady-state concentrations of chemical substances were explored for different substance groups (neutral organic substances, acids, bases, metals) in a standard emission scenario. In general, the largest differences between the predicted concentrations in the new and the old model are caused by the implementation of layered ocean compartments. Undesirable high model complexity caused by vegetation compartments and a local scale were removed to enlarge the simplicity and user friendliness of the model. Copyright © 2016 Elsevier Ltd. All rights reserved.

The transfer and implementation of an Aboriginal Australian wellbeing program: a grounded theory study

PubMed Central

2013-01-01

Background The concepts and standard practices of implementation, largely originating in developed countries, cannot necessarily be simply transferred into diverse cultural contexts. There has been relative inattention in the implementation science literature paid to the implementation of interventions targeting minority Indigenous populations within developed countries. This suggests that the implementation literature may be bypassing population groups within developed countries who suffer some of the greatest disadvantage. Within the context of Aboriginal Australian health improvement, this study considers the impact of political and cultural issues by examining the transfer and implementation of the Family Wellbeing program across 56 places over a 20-year period. Methods A theoretical model of program transfer was developed using constructivist-grounded theory methods. Data were generated by conducting in-depth interviews with 18 Aboriginal and non-Aboriginal research respondents who had been active in transferring the program. Data were categorised into higher order abstract concepts and the core impetus for and process of program transfer were identified. Results Organizations transferred the program by using it as a vehicle for supporting inside-out empowerment. The impetus to support inside-out empowerment referred to support for Aboriginal people's participation, responsibility for and control of their own affairs, and the associated ripple effects to family members, organizations, communities, and ultimately reconciliation with Australian society at large. Program transfer occurred through a multi-levelled process of embracing relatedness which included relatedness with self, others, and structural conditions; all three were necessary at both individual and organizational levels. Conclusions Similar to international implementation models, the model of supporting inside-out empowerment by embracing relatedness involved individuals, organizations, and interpersonal and inter-organizational networks. However, the model suggests that for minority Indigenous populations within developed countries, implementation approaches may require greater attention to the empowering nature of the intervention and its implementation, and multiple levels of relatedness by individuals and organizations with self, others, and the structural conditions. Key elements of the theoretical model provide a useful blueprint to inform the transfer of other empowerment programs to minority Indigenous and other disadvantaged populations on a case-by-case basis. PMID:24171867

The transfer and implementation of an Aboriginal Australian wellbeing program: a grounded theory study.

PubMed

McCalman, Janya R

2013-10-31

The concepts and standard practices of implementation, largely originating in developed countries, cannot necessarily be simply transferred into diverse cultural contexts. There has been relative inattention in the implementation science literature paid to the implementation of interventions targeting minority Indigenous populations within developed countries. This suggests that the implementation literature may be bypassing population groups within developed countries who suffer some of the greatest disadvantage. Within the context of Aboriginal Australian health improvement, this study considers the impact of political and cultural issues by examining the transfer and implementation of the Family Wellbeing program across 56 places over a 20-year period. A theoretical model of program transfer was developed using constructivist-grounded theory methods. Data were generated by conducting in-depth interviews with 18 Aboriginal and non-Aboriginal research respondents who had been active in transferring the program. Data were categorised into higher order abstract concepts and the core impetus for and process of program transfer were identified. Organizations transferred the program by using it as a vehicle for supporting inside-out empowerment. The impetus to support inside-out empowerment referred to support for Aboriginal people's participation, responsibility for and control of their own affairs, and the associated ripple effects to family members, organizations, communities, and ultimately reconciliation with Australian society at large. Program transfer occurred through a multi-levelled process of embracing relatedness which included relatedness with self, others, and structural conditions; all three were necessary at both individual and organizational levels. Similar to international implementation models, the model of supporting inside-out empowerment by embracing relatedness involved individuals, organizations, and interpersonal and inter-organizational networks. However, the model suggests that for minority Indigenous populations within developed countries, implementation approaches may require greater attention to the empowering nature of the intervention and its implementation, and multiple levels of relatedness by individuals and organizations with self, others, and the structural conditions. Key elements of the theoretical model provide a useful blueprint to inform the transfer of other empowerment programs to minority Indigenous and other disadvantaged populations on a case-by-case basis.

The Collier Chautauqua program: A formative evaluation of the implementation of the Iowa Chautauqua model of professional development and its effectiveness in improving science teaching

NASA Astrophysics Data System (ADS)

Dass, Pradeep Maxwell

1997-11-01

A formative evaluation of the implementation of the Iowa Chautauqua model of professional development in Collier County, Florida, was conducted during 1995-97, focusing on implementation issues and teacher enhancement. Major findings are as follows: Implementation issues. (1) Development of a shared vision through collaborative interaction between teachers, school administrators, and district administrators is critical to successful program implementation. (2) When a new program is implemented on a district-wide basis, the success of implementation depends upon how well the program matches local goals and needs and how ready the district and teachers are to make changes necessary for implementing the tenets of the program. (3) Development of proper understanding of desired pedagogical approaches requires modeling of these approaches in program activities, with explicit attention drawn to the modeling. (4) Successful implementation of desired pedagogical approaches in the classroom is critically influenced by the support and continual feedback teachers receive from district administrators, building administrators, and their peers. (5) Unwavering commitment of district and school administrators is essential for encouraging more teachers to participate in the program, leading to district-wide implementation without making it mandatory. Teacher Enhancement. (1) Participants developed leadership skills in mentorship, teamwork, presenting at professional meetings, and assuming responsibility within the program. (2) Participants learned to focus more on student questions and concerns, value prior conceptions of students, and develop instructional activities accordingly. They grew in their understanding and use of the constructivist pedagogy. (3) Participants attitude toward teaching in general and science in particular improved markedly, leading to new excitement and enthusiasm toward their profession. (4) Participants became more confident about teaching science. Elementary teachers reported spending more time on science activities and integrating science topics more with other curricular areas. (5) Participants collaborated more with their peers, administrators, and local community resources in improving instructional activities, providing more meaningful learning experiences for their students. (6) Participants integrated more technological resources than they did formerly, helping students explore avenues otherwise inaccessible. This investigation reveals that teacher enhancement is closely related to changed practice, which is critically influenced by implementation issues at broader levels.