536 research outputs found

    Teacher Characteristics on Student Achievement: An Examination of High Schools in Ohio

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    Teachers are the most important school-based factor in affecting student achievement levels. Knowing what teacher characteristics influence student achievement and whether or not schools in different locations have dissimilar student achievement levels will help administrators prioritize who to hire, retain, and assign to classes. The purpose of this paper is to answer two questions. The first question is whether teacher characteristics are related to student achievement; the second is whether there are differences in student achievement based on school location. A review of teacher quality, teacher incentives, teacher background, the ability of a school to attract teachers, and differences in school location provides some background of the relationship between teacher characteristics and student achievement. I use data from the Ohio Department of Education (ODE) and the Census Bureau. All data is collected at the school level. From this I develop two models. The first is a fixed effects model that allows me to examine the relationship between teacher characteristics and student achievement with a county fixed effect. The second model is similar to the first except I substitute the country fixed effect variable for school location as an explanatory variable. The location variable is sorted into three categories by county population, and defined as large, medium and small. In both models the dependent variable is student achievement, which is measured by the high school’s percentage-passing rate on the Ohio Graduation Test (OGT), a standardized test administered to all potential graduates. I estimate each model five times, once for each section of the OGT. I use data from the Ohio Department of Education (ODE) and the Census Bureau. All data is collected at the school level. From this I develop two models. The first is a fixed effects model that allows me to examine the relationship between teacher characteristics and student achievement with a county fixed effect. The second model is similar to the first except I substitute the country fixed effect variable for school location as an explanatory variable. The location variable is sorted into three categories by county population, and defined as large, medium and small. In both models the dependent variable is student achievement, which is measured by the high school’s percentage-passing rate on the Ohio Graduation Test (OGT), a standardized test administered to all potential graduates. I estimate each model five times, once for each section of the OGT

    Influence of Hepatitis C Virus Infection on HIV-1 Disease Progression and Response to Highly Active Antiretroviral Therapy

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    ObjectiveTo assess hepatitis C virus (HCV) antibody prevalence in the EuroSIDA cohort, along with survival, human immunodeficiency virus (HIV)-1 disease progression, virologic response (plasma HIV-1 RNA load of <500 copies/mL), and CD4 cell count recovery by HCV serostatus in patients initiating highly active antiretroviral therapy (HAART) ResultsHCV serostatus at or before enrollment was available for 5957 patients; 1960 (33%) and 3997 (67%) were HCV seropositive and seronegative, respectively. No association between an increased incidence of acquired immunodeficiency syndrome-defining illnesses or death and HCV serostatus was seen after adjustment for other prognostic risk factors known at baseline (adjusted incidence rate ratio [IRR], 0.97 [95% confidence interval {CI}, 0.81-1.16]). However, there was a large increase in the incidence of liver disease-related deaths in HCV-seropositive patients in adjusted models (IRR, 11.71 [95% CI, 6.42-21.34]). Among 2260 patients of known HCV serostatus initiating HAART, after adjustment, there was no significant difference between HCV-seropositive and -seronegative patients with respect to virologic response (relative hazard [RH], 1.13 [95% CI, 0.84-1.51]) and immunologic response, whether measured as a ⩾50% increase (RH, 0.94 [95% CI, 0.77-1.16]) or a ⩾50 cells/μL increase (RH, 0.92 [95% CI, 0.77-1.11]) in CD4 cell count after HAART initiation ConclusionsHCV serostatus did not affect the risk of HIV-1 disease progression, but the risk of liver disease-related deaths was markedly increased in HCV-seropositive patients. The overall virologic and immunologic responses to HAART were not affected by HCV serostatu

    Associations between HIV-RNA-based indicators and virological and clinical outcomes

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    OBJECTIVES: To evaluate and compare the performance of six HIV-RNA-based quality of care indicators for predicting short-term and long-term outcomes. DESIGN: Multinational cohort study. METHODS: We included EuroSIDA patients on antiretroviral therapy (ART) with ≥3viral load (VL) measurements after baseline (the latest of 01/01/2001 or entry into EuroSIDA). Using multivariate Poisson regression we modelled the association between short-term (resistance, triple-class failure) and long-term (all-cause mortality, any AIDS/non-AIDS clinical event) outcomes and the indicators: (i)viraemia copy years (VCY), (ii) Consecutive months with VL ≥50 copies/mL, (iii) percentage of time on ART spent fully suppressed (%FS), (iv) stable on ART, (v)48 weeks snapshot, and (vi) current VL. Indicators were compared using area under the ROC curve (AUC) and different measures of model fit. RESULTS: Adjusted incidence rate ratios for all outcomes tended to increase with increasing VCY, number of consecutive months with VL ≥50 copies/mL, current VL and with lower %FS, but the gradient of increased risk was weak across strata. None of the indicators reliably identified those at risk of long-term outcomes (AUC 0.54-0.58), but performed consistently better with short-term outcomes (triple class failure [AUC 0.67-0.76]) and resistance [AUC 0.64-0.79]). Goodness of fitvariedwith the outcome evaluated, but differences between indicators were small. CONCLUSIONS: Differences between quality of care indicators were small and no indicator performed consistently better than current VL. Given the simplicity in assessing and interpreting this indicator, wepropose to use current VL when HIV-RNA-based indicators are used to evaluate the efficacy of ART programs

    The Micro-Elimination Approach to Eliminating Hepatitis C:Strategic and Operational Considerations

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    The introduction of efficacious new hepatitis C virus (HCV) treatments galvanized the World Health Organization to define ambitious targets for eliminating HCV as a public health threat by 2030. Formidable obstacles to reaching this goal can best be overcome through a micro-elimination approach, which entails pursuing elimination goals in discrete populations through multi-stakeholder initiatives that tailor interventions to the needs of these populations. Micro-elimination is less daunting, less complex, and less costly than full-scale, country-level initiatives to eliminate HCV, and it can build momentum by producing small victories that inspire more ambitious efforts. The micro-elimination approach encourages stakeholders who are most knowledgeable about specific populations to engage with each other and also promotes the uptake of new models of care. Examples of micro-elimination target populations include medical patients, people who inject drugs, migrants, and prisoners, although candidate populations can be expected to vary greatly in different countries and subnational areas

    Impact of CYP2B6 983T>C polymorphism on non-nucleoside reverse transcriptase inhibitor plasma concentrations in HIV-infected patients

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    Objectives The aim of this study was to investigate the frequency of CYP2B6 polymorphisms (according to ethnicity) and the influence of heterozygosity and homozygosity on plasma concentrations of efavirenz and nevirapine. Methods Following written informed consent, 225 Caucasians and 146 Blacks were recruited from the German Competence Network for HIV/AIDS. Plasma concentrations of efavirenz and nevirapine were assessed by HPLC, and genotyping for 516G>T, 983T>C and 1459T>C polymorphisms in CYP2B6 was conducted by real-time PCR-based allelic discrimination. Results The minor allele frequency for 516G>T, 983T>C and 1459T>C was 0.29, 0 and 0.08 in Caucasians and 0.34, 0.07 and 0.02 in Blacks, respectively. Two Black patients with the 983C allele receiving efavirenz were identified and both were withdrawn from therapy within 1 week of sampling due to toxicity. In multivariate analyses, efavirenz and nevirapine plasma concentrations were significantly associated with 983T>C (P T (P T was not associated with plasma concentrations of either drug (P > 0.05 for both drugs). Conclusions This is the first report that the 983T>C genotype (part of the CYP2B6*18 haplotype) impacts on nevirapine plasma concentrations and the first study to assess the impact of 983C homozygosity on efavirenz concentrations. These data have implications for administration of non-nucleoside reverse transcriptase inhibitors to Black patient

    Clinical use of HIV integrase inhibitors : a systematic review and meta-analysis

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    Background: Optimal regimen choice of antiretroviral therapy is essential to achieve long-term clinical success. Integrase inhibitors have swiftly been adopted as part of current antiretroviral regimens. The purpose of this study was to review the evidence for integrase inhibitor use in clinical settings. Methods: MEDLINE and Web-of-Science were screened from April 2006 until November 2012, as were hand-searched scientific meeting proceedings. Multiple reviewers independently screened 1323 citations in duplicate to identify randomized controlled trials, nonrandomized controlled trials and cohort studies on integrase inhibitor use in clinical practice. Independent, duplicate data extraction and quality assessment were conducted. Results: 48 unique studies were included on the use of integrase inhibitors in antiretroviral therapy-naive patients and treatment-experienced patients with either virological failure or switching to integrase inhibitors while virologically suppressed. On the selected studies with comparable outcome measures and indication (n = 16), a meta-analysis was performed based on modified intention-to-treat (mITT), on-treatment (OT) and as-treated (AT) virological outcome data. In therapy-naive patients, favorable odds ratios (OR) for integrase inhibitor-based regimens were observed, (mITT OR 0.71, 95% CI 0.59-0.86). However, integrase inhibitors combined with protease inhibitors only did not result in a significant better virological outcome. Evidence further supported integrase inhibitor use following virological failure (mITT OR 0.27; 95% CI 0.11-0.66), but switching to integrase inhibitors from a high genetic barrier drug during successful treatment was not supported (mITT OR 1.43; 95% CI 0.89-2.31). Integrase inhibitor-based regimens result in similar immunological responses compared to other regimens. A low genetic barrier to drug-resistance development was observed for raltegravir and elvitegravir, but not for dolutegravir. Conclusion: In first-line therapy, integrase inhibitors are superior to other regimens. Integrase inhibitor use after virological failure is supported as well by the meta-analysis. Careful use is however warranted when replacing a high genetic barrier drug in treatment-experienced patients switching successful treatment
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