408 research outputs found
A note on the effect of expected changes in monetary policy on long-term interest rates
The ability of monetary policy to affect long-term interest rates is of central importance for economics and finance. Several recent studies have shown that long-term interest rates are virtually unaffected by monetary policy. This paper develops a statistical methodology to identify the expected and unexpected changes in monetary policy as measured by the federal funds rate. The empirical evidence shows that expected changes in the funds rate cause stronger and more significant movements in the long-term rates. Further, ignoring such asymmetry can erroneously generate the insignificant responses of long-term interest rates to the changes in the monetary policy.Long-term interest rate, monetary policy, asymmetry
Exploring the relationship between volunteering and hospice sustainability in the UK:A theoretical model
A case of semi-combusted pregnant female in the Phoenician-Punic necropolis of Monte Sirai (Carbonia, Sardinia, Italy)
Validated Spectrophotometric Methods for the Determination of Nabumetone in Tablets Dosage Form Using Three Dinitrobenzene Reagents
ABSTRACT Three spectrophotometric methods have been described for the determination of nabumetone (NAB) in its tablets dosage form. The methods are based on the reaction of nabumetone with three dinitrobenzene reagents, namely, m-dinitrobenzene (DNB), 1-chloro-2,4-dinitrobenzene (CDNB) and 1-fluoro-2,4-dinitrobenzene (FDNB) in alkaline medium (alcoholic potassium hydroxide solution). The studied reactions depend on the tendency of these dinitrobenzene reagents to react with the active methylene adjacent to the carbonyl group of the drug. Illustrative proposed pathways showing the reaction of NAB with the three dinitrobenzene reagents were presented. Spectrophotometric measurements were achieved by recording the absorbances at 580, 573 and 574 nm for the reaction with DNB, CDNB and FDNB respectively. Different experimental parameters affecting development and stability of the produced colors were optimized. The three methods were validated with respect to linearity, ranges, precision, accuracy and limits of detection and quantification. Beer's law was obeyed in the concentration ranges of 2-10, 40-240 and 10-50 µg/mL for DNB, CDNB and FDNB methods respectively with correlation coefficient values not less than 0.9994. In addition, detection limits of NAB were 0.27, 8.54 and 2.04 µg/mL for DNB, CDNB and FDNB methods, respectively. The proposed methods were successfully applied for assay of the drug in its tablets dosage form. Recovery data obtained by the proposed methods were favorably compared with those obtained by a reported spectrophotometric method
An approach to addressing subpopulation considerations in systematic reviews: the experience of reviewers supporting the U.S. Preventive Services Task Force
Abstract Background Guideline developers and other users of systematic reviews need information about whether a medical or preventive intervention is likely to benefit or harm some patients more (or less) than the average in order to make clinical practice recommendations tailored to these populations. However, guidance is lacking on how to include patient subpopulation considerations into the systematic reviews upon which guidelines are often based. In this article, we describe methods developed to consistently consider the evidence for relevant subpopulations in systematic reviews conducted to support primary care clinical preventive service recommendations made by the U.S. Preventive Services Task Force (USPSTF). Proposed approach Our approach is grounded in our experience conducting systematic reviews for the USPSTF and informed by a review of existing guidance on subgroup analysis and subpopulation issues. We developed and refined our approach based on feedback from the Subpopulation Workgroup of the USPSTF and pilot testing on reviews being conducted for the USPSTF. This paper provides processes and tools for incorporating evidence-based identification of important sources of potential heterogeneity of intervention effects into all phases of systematic reviews. Key components of our proposed approach include targeted literature searches and key informant interviews to identify the most important subpopulations a priori during topic scoping, a framework for assessing the credibility of subgroup analyses reported in studies, and structured investigation of sources of heterogeneity of intervention effects. Conclusions Further testing and evaluation are necessary to refine this proposed approach and demonstrate its utility to the producers and users of systematic reviews beyond the context of the USPSTF. Gaps in the evidence on important subpopulations identified by routinely applying this process in systematic reviews will also inform future research needs
Differential Analysis of Ovarian and Endometrial Cancers Identifies a Methylator Phenotype
Despite improved outcomes in the past 30 years, less than half of all women diagnosed with epithelial ovarian cancer live five years beyond their diagnosis. Although typically treated as a single disease, epithelial ovarian cancer includes several distinct histological subtypes, such as papillary serous and endometrioid carcinomas. To address whether the morphological differences seen in these carcinomas represent distinct characteristics at the molecular level we analyzed DNA methylation patterns in 11 papillary serous tumors, 9 endometrioid ovarian tumors, 4 normal fallopian tube samples and 6 normal endometrial tissues, plus 8 normal fallopian tube and 4 serous samples from TCGA. For comparison within the endometrioid subtype we added 6 primary uterine endometrioid tumors and 5 endometrioid metastases from uterus to ovary. Data was obtained from 27,578 CpG dinucleotides occurring in or near promoter regions of 14,495 genes. We identified 36 locations with significant increases or decreases in methylation in comparisons of serous tumors and normal fallopian tube samples. Moreover, unsupervised clustering techniques applied to all samples showed three major profiles comprising mostly normal samples, serous tumors, and endometrioid tumors including ovarian, uterine and metastatic origins. The clustering analysis identified 60 differentially methylated sites between the serous group and the normal group. An unrelated set of 25 serous tumors validated the reproducibility of the methylation patterns. In contrast, >1,000 genes were differentially methylated between endometrioid tumors and normal samples. This finding is consistent with a generalized regulatory disruption caused by a methylator phenotype. Through DNA methylation analyses we have identified genes with known roles in ovarian carcinoma etiology, whereas pathway analyses provided biological insight to the role of novel genes. Our finding of differences between serous and endometrioid ovarian tumors indicates that intervention strategies could be developed to specifically address subtypes of epithelial ovarian cancer
Public perception on the role of community pharmacists in self-medication and self-care in Hong Kong
Modeling the time varying volatility of housing returns: Further evidence from the U.S. Metropolitan condominium markets
This study extends the literature on modeling the volatility of housing returns to the case of condominium returns for five major U.S. metropolitan areas (Boston, Chicago, Los Angeles, New York, and San Francisco). Through the estimation of ARMA models for the respective condominium returns, we find volatility clustering of the residuals. The results from an ARMA-TGARCH-M model reveal the absence of asymmetry in the conditional variance. Dummy variables associated with the housing market collapse unique to each metropolitan area were statistically insignificant in the conditional variance equation, but negative and statistically significant in the mean equation. Condominium markets in Los Angeles and San Francisco exhibit the greatest persistence to volatility shocks.N/
The Shared Health Appointments and Reciprocal Enhanced Support (SHARES) study: study protocol for a randomized trial
Abstract
Background
Diabetes shared medical appointments (SMAs) and reciprocal peer support programs have been found in efficacy trials to help adults with diabetes improve their self-management and achieve short-term gains in clinical and patient-centered outcomes. In order to translate this evidence to system-level interventions, there is a need for large-scale, pragmatic trials that examine the effectiveness, implementation, and costs of SMAs and reciprocal peer support across diverse settings.
Methods
The Shared Health Appointments and Reciprocal Enhanced Support (SHARES) study is a multisite, cluster randomized trial that is evaluating the effectiveness and implementation of SMAs with and without an additional reciprocal Peer-to-Peer (P2P) support program, when compared to usual care. The P2P program comprises periodic peer support group sessions and telephone contact between SMA participant pairs to promote more effective diabetes self-management. We will examine outcomes across three different treatment groups: (1) SMAs, (2) SMAs plus P2P, and (3) usual care. We will collect and analyze data over a 2.5-year implementation period at five geographically diverse Veterans Affairs (VA) health systems. The primary outcome is the relative change in hemoglobin A1c over time. Secondary outcomes are changes in systolic blood pressure, antihypertensive medication use, statin use, and insulin initiation over the study period. The unit of analysis is the individual, adjusted by the individual’s SMA group (the cluster). We will use mixed methods to rigorously evaluate processes and costs of implementing these programs in each of the clinic settings.
Discussion
We hypothesize that patients will experience improved outcomes immediately following participation in SMAs and that augmenting SMAs with reciprocal peer support will help to maintain these gains over time. The results of this study will be among the first to examine the effects of diabetes SMAs alone and in conjunction with P2P in a range of real-life clinical settings. In addition, the study will provide important information on contextual factors associated with successful program implementation.
Trial registration
ClinicalTrials.gov, ID:
NCT02132676
. Registered on 21 August 2013.https://deepblue.lib.umich.edu/bitstream/2027.42/136794/1/13063_2017_Article_1959.pd
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