Evaluation of Knowledge Regarding Diagnostic Strategies for Genetic Diseases in Select Residents

Genetics education for physicians has been a popular publication topic in the United States and in Europe for over 20 years. Decreasing numbers of medical genetics professionals and an increasing volume of genetic information has created a dire need for increased genetics training in medical school and in clinical practice. This study aimed to assess how well pediatrics-focused primary care physicians apply their general genetics knowledge to clinical genetic testing using scenario-based questions. We chose to specifically focus on knowledge of the diagnostic applicability of Chromosomal Microarray (CMA) technology in pediatrics because of its recent recommendation by the International Standard Cytogenomic Array (ISCA) Consortium as a first-tier genetic test for individuals with developmental disabilities and/or congenital anomalies. Proficiency in ordering baseline genetic testing was evaluated for eighty-one respondents from four pediatrics-focused residencies (categorical pediatrics, pediatric neurology, internal medicine/pediatrics, and family practice) at two large residency programs in Houston, Texas. Similar to other studies, we found an overall deficit of genetic testing knowledge, especially among family practice residents. Interestingly, residents who elected to complete a genetics rotation in medical school scored significantly better than expected, as well as better than residents who did not elect to complete a genetics rotation. We suspect that the insufficient knowledge among physicians regarding a baseline genetics work-up is leading to redundant (i.e. concurrent karyotype and CMA) and incorrect (i.e. ordering CMA to detect achondroplasia) genetic testing and is contributing to rising health care costs in the United States. Our results provide specific teaching points upon which medical schools can focus education about clinical genetic testing and suggest that increased collaboration between primary care physicians and genetics professionals could benefit patient health care overall.

EVALUATION OF THE EFFECTIVENESS OF ANISOTROPIC ANALYTICAL ALGORITHM IN FLATTENED AND FLATTENING-FILTER-FREE BEAMS FOR HIGH ENERGY LUNG DOSE DELIVERY USING THE RADIOLOGICAL PHYSICS CENTER LUNG PHANTOM

The effectiveness of the Anisotropic Analytical Algorithm (AAA) implemented in the Eclipse treatment planning system (TPS) was evaluated using theRadiologicalPhysicsCenteranthropomorphic lung phantom using both flattened and flattening-filter-free high energy beams. Radiation treatment plans were developed following the Radiation Therapy Oncology Group and theRadiologicalPhysicsCenterguidelines for lung treatment using Stereotactic Radiation Body Therapy. The tumor was covered such that at least 95% of Planning Target Volume (PTV) received 100% of the prescribed dose while ensuring that normal tissue constraints were followed as well. Calculated doses were exported from the Eclipse TPS and compared with the experimental data as measured using thermoluminescence detectors (TLD) and radiochromic films that were placed inside the phantom. The results demonstrate that the AAA superposition-convolution algorithm is able to calculate SBRT treatment plans with all clinically used photon beams in the range from 6 MV to 18 MV. The measured dose distribution showed a good agreement with the calculated distribution using clinically acceptable criteria of ±5% dose or 3mm distance to agreement. These results show that in a heterogeneous environment a 3D pencil beam superposition-convolution algorithms with Monte Carlo pre-calculated scatter kernels, such as AAA, are able to reliably calculate dose, accounting for increased lateral scattering due to the loss of electronic equilibrium in low density medium. The data for high energy plans (15 MV and 18 MV) showed very good tumor coverage in contrast to findings by other investigators for less sophisticated dose calculation algorithms, which demonstrated less than expected tumor doses and generally worse tumor coverage for high energy plans compared to 6MV plans. This demonstrates that the modern superposition-convolution AAA algorithm is a significant improvement over previous algorithms and is able to calculate doses accurately for SBRT treatment plans in the highly heterogeneous environment of the thorax for both lower (≤12 MV) and higher (greater than 12 MV) beam energies.

An evaluation of the centers for Medicare & Medicaid Services' Hospital Acquired Conditions and Present on Admission Indicator Reporting program

Objective: This dissertation evaluated three aspects of the Centers for Medicare and Medicaid Services' Hospital Acquired Conditions and Present on Admission Indicator Reporting program (HACPOA program) to produce three journal articles for publication. ^ Methods: All payer admission records from state inpatient databases from Arizona, New Jersey and Washington states were analyzed for the year 2008. However some analyses required a sample of adult only Medicare patients in the first two studies. California's inpatient data (2004 – 2010) was also analyzed in the third study to examine the reporting and non-payment program elements' impact on the incidence of hospital acquired conditions. ^ Results: Majority diagnoses reported in inpatient prospective payment systems hospitals were present on admission. However, some diagnoses are still coded as "not present on admission" and "insufficient documentation to determine whether or not conditions are present on admission or not". This is important because it reveals that hospital complications still occur in hospitals. Hospital fall and trauma injuries were the most common hospital acquired conditions observed in this study. Predictors of hospital fall injuries include age, gender, number of diagnoses, number of procedures, number of chronic conditions while predictors of hospital trauma injuries include number of e-codes, number of diagnoses and the presence of chronic conditions on a patient's admission records. Finally, the implementation of the present on admission reporting requirement increased reports of certain hospital acquired conditions while the non-payment policy element in the Hospital Acquired Conditions program reduced the incidence of hospital fall and trauma injuries in particular. ^ Conclusion: The implementation of the Hospital Acquired Conditions and Present on Admission Indicator Reporting program has made the state inpatient database a more useful source of data capable of now identifying hospital complications. The reporting and nonpayment program elements in the HACPOA program have also impacted the incidence of hospital acquired conditions. ^

Cost-effectiveness of intensified interventions to control healthcare-associated MRSA infections -- A systematic literature review

Methicillin Resistant Staphylococcus aureus healthcare-associated infections (MRSA HAIs) are a major cause of morbidity in hospitalized patients. They pose great economic burden to hospitals caring for these patients. Intensified Interventions aim to control MRSA HAIs. Cost-effectiveness of Intensified Interventions is largely unclear. We performed a review of cost-effectiveness literature on Intensified Interventions , and provide a summary of study findings, the status of economic research in the area, and information that will help decision-makers at regional level and guide future research.^ We conducted literature search using electronic database PubMed, EBSCO, and The Cochrane Library. We limited our search to English articles published after 1999. We reviewed a total of 1,356 titles, and after applying our inclusion and exclusion criteria selected seven articles for our final review. We modified the Economic Evaluation Abstraction Form provided by CDC, and used this form to abstract data from studies.^ Of the seven selected articles two were cohort studies and the remaining five were modeling studies. They were done in various countries, in different study settings, and with different variations of the Intensified Intervention . Overall, six of the seven studies reported that Intensified Interventions were dominant or at least cost-effective in their study setting. This effect persisted on sensitivity testing.^ We identified many gaps in research in this field. The cost-effectiveness research in the field is mostly composed of modeling studies. The studies do not always clearly describe the intervention. The intervention and infection costs and the sources for these costs are not always explicit or are missing. In modeling studies, there is uncertainty associated with some key model inputs, but these inputs are not always identified. The models utilized in the modeling studies are not always tested for internal consistency or validity. Studies usually test the short term cost-effectiveness of Intensified Interventions but not the long results.^ Our study limitation was the inability to adjust for differences in study settings, intervention costs, disease costs, or effectiveness measures. Our study strength is the presentation of a focused literature review of Intensified Interventions in hospital settings. Through this study we provide information that will help decision makers at regional level, help guide future research, and might change clinical care and policies. ^

Evaluation of PRESAGE® dosimeters for brachytherapy sources and the 3D dosimetry and characterization of the new AgX100 125I seed model

With continuous new improvements in brachytherapy source designs and techniques, method of 3D dosimetry for treatment dose verifications would better ensure accurate patient radiotherapy treatment. This study was aimed to first evaluate the 3D dose distributions of the low-dose rate (LDR) Amersham 6711 OncoseedTM using PRESAGE® dosimeters to establish PRESAGE® as a suitable brachytherapy dosimeter. The new AgX100 125I seed model (Theragenics Corporation) was then characterized using PRESAGE® following the TG-43 protocol. PRESAGE® dosimeters are solid, polyurethane-based, 3D dosimeters doped with radiochromic leuco dyes that produce a linear optical density response to radiation dose. For this project, the radiochromic response in PRESAGE® was captured using optical-CT scanning (632 nm) and the final 3D dose matrix was reconstructed using the MATLAB software. An Amersham 6711 seed with an air-kerma strength of approximately 9 U was used to irradiate two dosimeters to 2 Gy and 11 Gy at 1 cm to evaluate dose rates in the r=1 cm to r=5 cm region. The dosimetry parameters were compared to the values published in the updated AAPM Report No. 51 (TG-43U1). An AgX100 seed with an air-kerma strength of about 6 U was used to irradiate two dosimeters to 3.6 Gy and 12.5 Gy at 1 cm. The dosimetry parameters for the AgX100 were compared to the values measured from previous Monte-Carlo and experimental studies. In general, the measured dose rate constant, anisotropy function, and radial dose function for the Amersham 6711 showed agreements better than 5% compared to consensus values in the r=1 to r=3 cm region. The dose rates and radial dose functions measured for the AgX100 agreed with the MCNPX and TLD-measured values within 3% in the r=1 to r=3 cm region. The measured anisotropy function in PRESAGE® showed relative differences of up to 9% with the MCNPX calculated values. It was determined that post-irradiation optical density change over several days was non-linear in different dose regions, and therefore the dose values in the r=4 to r=5 cm regions had higher uncertainty due to this effect. This study demonstrated that within the radial distance of 3 cm, brachytherapy dosimetry in PRESAGE® can be accurate within 5% as long as irradiation times are within 48 hours.

Economic analysis of drought risks: an application to irrigated agriculture in Spain

Abstract This paper describes a two-part methodology for managing the risk posed by water supply variability to irrigated agriculture. First, an econometric model is used to explain the variation in the production value of irrigated agriculture. The explanatory variables include an index of irrigation water availability (surface storage levels), a price index representative of the crops grown in each geographical unit, and a time variable. The model corrects for autocorrelation and it is applied to 16 representative Spanish provinces in terms of irrigated agriculture. In the second part, the fitted models are used for the economic evaluation of drought risk. In flow variability in the hydrological system servicing each province is used to perform ex-ante evaluations of economic output for the upcoming irrigation season. The model?s error and the probability distribution functions (PDFs) of the reservoirs? storage variations are used to generate Monte Carlo (Latin Hypercube) simulations of agricultural output 7 and 3 months prior to the irrigation season. The results of these simulations illustrate the different risk profiles of each management unit, which depend on farm productivity and on the probability distribution function of water in flow to reservoirs. The potential for ex-ante drought impact assessments is demonstrated. By complementing hydrological models, this method can assist water managers and decisionmakers in managing reservoirs.

Direct and indirect economic impacts of drought in the agri-food sector in the Ebro River basin (Spain).

The economic evaluation of drought impacts is essential in order to define efficient and sustainable management and mitigation strategies. The aim of this study is to evaluate the economic impacts of a drought event on the agricultural sector and measure how they are transmitted from primary production to industrial output and related employment. We fit econometric models to determine the magnitude of the economic loss attributable to water storage. The direct impacts of drought on agricultural productivity are measured through a direct attribution model. Indirect impacts on agricultural employment and the agri-food industry are evaluated through a nested indirect attribution model. The transmission of water scarcity effects from agricultural production to macroeconomic variables is measured through chained elasticities. The models allow for differentiating the impacts deriving from water scarcity from other sources of economic losses. Results show that the importance of drought impacts are less relevant at the macroeconomic level, but are more significant for those activities directly dependent on water abstractions and precipitation. From a management perspective, implications of these findings are important to develop effective mitigation strategies to reduce drought risk exposure.

Evaluation of the utilization of electric vehicles for building energy management in hotels

Governments are working in new policies to slow down total energy consumption and greenhouse gases (GHG) emissions, promoting the deployment of electric vehicles (EVs) in all countries. In order to facilitate this deployment and help to reduce the final costs of their batteries, additional utilization of EVs when those are parked has been proposed. EVs can be used to minimize the total electricity cost of buildings (named vehicle to building applications, V2B). In this paper an economic evaluation of EVs in the Building Energy Management System is shown. The optimal storage capacity and its equivalent number of EVs are determined. This value is then used for determining the optimal charging schedule to be applied to the batteries. From this schedule, the total expected profit is derived for the case of a real hotel in Spain.

Evaluation of school plans

A model is presented for simulation and economic evaluation of school plans within the framework of city master planning. The model has been applied to plans for a Swedish city, Västerȧs, and some illustrative results are reported.

Estudo da viabilidade para introduzir na rotina testes de diagnóstico para infecção respiratória aguda

Para avaliar os benefícios da comunicação rápida ao clínico do diagnóstico de vírus respiratórios, foi analisado a viabilidade econômica de 2 testes, com o tempo de entrega de resultado em 2 horas para teste rápido e 48 horas para Biologia Molecular. As amostras coletadas foram processadas utilizando técnicas convencionais e os testes disponíveis no mercado local. Foram escolhidos dois testes rápidos pelo método de imunocromatografia para quatro parâmetros analíticos: Influenza A, Influenza H1N1, Influenza B e Vírus Sincicial Respiratório (RSV) e em Biologia Molecular um teste de RT-PCR multiplex com 25 patógenos entre vírus e bactérias. O tipo de amostra utilizada foi swab e lavado de nasofaringe. A população escolhida para o estudo foi paciente adulto, em tratamento de câncer, que necessita de uma resposta rápida já que a maioria se encontra com comprometimento do sistema imune por doença ou por tratamento. O estudo foi transversal, realizado entre os anos de 2012 e 2013, para avaliar a viabilidade econômica da introdução de testes de diagnóstico da infecção respiratória aguda de etiologia viral a partir de amostras de nasofaringe em pacientes com câncer atendidos no Centro de Atendimento de Oncologia Intercorrência (CAIO ), do Instituto do Câncer do Estado de São Paulo (ICESP), hospital público que atende exclusivamente Sistema Único de Saúde (SUS) e Hospital A.C. Camargo, que atende tanto a pacientes do SUS como da rede privada. O estudo incluiu 152 pacientes em tratamento para qualquer tipo de câncer, predominantemente do sexo feminino (81 mulheres e 70 homens) com idades entre 18-86 anos. Para participar do estudo o paciente era consultado e o critério para escolha do paciente foi ser portador de câncer, com história de febre (ainda que referida) acompanhada de tosse ou dor de garganta, tosse e sintomas respiratórios agudos, atendidos por protocolo padronizado que inclui avaliação na admissão, seguimento e manejo antimicrobiano. Para a avaliação econômica os pacientes foram classificados de acordo com o estado geral de saúde, se apresentavam bom estado de estado de saúde poderiam receber alta e faziam uso da medicação em casa evitando 5 dias de internação se recebessem algum resultado para Influenza ou RSV, no entanto os pacientes que apresentavam outro vírus, resultado negativo ou o estado geral era ruim permaneciam internados por 7 dias em observação e cuidados com medicação adequada. Foram realizadas análises econômicas em dois âmbitos: o sistema de saúde publico e o privado considerando o fator diminuição de dias de internação. A analise de Custo-benefício foi eficiente no Sistema privado mas inadequada para o SUS assim como, qualquer outra medida monetária já que os valores de reembolso do SUS estão defasados do custo de qualquer internação. A análise de Custo-efetividade que olha para outros fatores além do monetário foi efetiva nos dois sistemas que enfrentam falta de leitos além da condição de saúde do paciente de evitar a ingestão desnecessária de antibióticos, evitar os gastos do acompanhante, perda de dias de trabalho e estudo. Não houve correspondência de resultados dos testes rápidos com o multiplex de Biologia Molecular

Using realist evaluation to assess primary healthcare teams’ responses to intimate partner violence in Spain

Objective: Few evaluations have assessed the factors triggering an adequate health care response to intimate partner violence. This article aimed to: 1) describe a realist evaluation carried out in Spain to ascertain why, how and under what circumstances primary health care teams respond to intimate partner violence, and 2) discuss the strengths and challenges of its application. Methods: We carried out a series of case studies in four steps. First, we developed an initial programme theory (PT1), based on interviews with managers. Second, we refined PT1 into PT2 by testing it in a primary healthcare team that was actively responding to violence. Third, we tested the refined PT2 by incorporating three other cases located in the same region. Qualitative and quantitative data were collected and thick descriptions were produced and analysed using a retroduction approach. Fourth, we analysed a total of 15 cases, and identified combinations of contextual factors and mechanisms that triggered an adequate response to violence by using qualitative comparative analysis. Results: There were several key mechanisms —the teams’ self-efficacy, perceived preparation, women-centred care—, and contextual factors —an enabling team environment and managerial style, the presence of motivated professionals, the use of the protocol and accumulated experience in primary health care—that should be considered to develop adequate primary health-care responses to violence. Conclusion: The full application of this realist evaluation was demanding, but also well suited to explore a complex intervention reflecting the situation in natural settings.

Evaluation of a Post Discharge Intervention on 30-Day Re-admission and Emergency Room Use in Patients with Diabetes A Pilot Program

Thesis (Master's)--University of Washington, 2016-06

Evaluation of a Quality Improvement Intervention for Anesthetic Management of Acute Ischemic Stroke Patients Undergoing Endovascular Therapy

Thesis (Master's)--University of Washington, 2016-06

Evaluation of Physical Activity Programs Taking Place at The Pike Market Senior Center

Thesis (Master's)--University of Washington, 2016-06

Modelling the population cost-effectiveness of current and evidence-based optimal treatment for anxiety disorders

Background. The present paper describes a component of a large Population cost-effectiveness study that aimed to identify the averted burden and economic efficiency of current and optimal treatment for the major mental disorders. This paper reports on the findings for the anxiety disorders (panic disorder/agoraphobia, social phobia, generalized anxiety disorder, post-traumatic stress disorder and obsessive-compulsive disorder). Method. Outcome was calculated as averted 'years lived with disability' (YLD), a population summary measure of disability burden. Costs were the direct health care costs in 1997-8 Australian dollars. The cost per YLD averted (efficiency) was calculated for those already in contact with the health system for a mental health problem (current care) and for a hypothetical optimal care package of evidence-based treatment for this same group. Data sources included the Australian National Survey of Mental Health and Well-being and published treatment effects and unit costs. Results. Current coverage was around 40% for most disorders with the exception of social phobia at 21%. Receipt of interventions consistent with evidence-based care ranged from 32% of those in contact with services for social phobia to 64% for post-traumatic stress disorder. The cost of this care was estimated at $400 million, resulting in a cost per YLD averted ranging from $7761 for generalized anxiety disorder to $34 389 for panic/agoraphobia. Under optimal care, costs remained similar but health gains were increased substantially, reducing the cost per YLD to < $20 000 for all disorders. Conclusions. Evidence-based care for anxiety disorders would produce greater population health gain at a similar cost to that of current care, resulting in a substantial increase in the cost-effectiveness of treatment.