What It Will Take For The Successful Implementation Of Produce Prescription Programs In Connecticut: A Qualitative Analysis

Abstract Background: The Biden-Harris Administration National Strategy on Hunger, Nutrition, andHealth was released in September 2022, a result of the second-ever White House Conference on Hunger, Nutrition, and Health. Produce prescription programs were included in this strategy and identified as a mechanism for preventing or managing diet-related diseases and addressing food security. Food security is a key social determinant promoting health. Food security allows for the adequate nutrition needed to promote health and prevent and treat diet-related diseases. This study aims to identify the key considerations for implementing and scaling up a state-wide produce prescription program in Connecticut to translate the national strategy. Methods: This qualitative study was based on in-depth interviews with nine key informants working in the areas of hunger, nutrition, health, policy, and/or produce prescription programs. The interview guide was developed based on the Stages Model - a heuristic policy conceptual framework. Thematic analysis was used to analyze the interview transcripts following an inductive coding approach. Results: Key informant interviews revealed four main themes that provided key insights for the potential implementation and scale-up of produce prescription programs in Connecticut. These specific themes were: engage community, consider aspects of implementation, understand the importance of produce prescription programs, and garner advocates’ and decision-makers’ support. Conclusion: A community-engaged multi-level strategy will be needed to successfully implement and scale-up produce prescription programs in Connecticut

Supersymmetric Higgs pair discovery prospects at hadron colliders

We study the potential of hadron colliders in the search for the pair production of neutral Higgs bosons in the framework of the Minimal Supersymmetric Standard Model. Using analytical expressions for the relevant amplitudes, we perform a detailed signal and background analysis, working out efficient kinematical cuts for the extraction of the signal. The important role of squark loop contributions to the signal is emphasised. If the signal is sufficiently enhanced by these contributions, it could even be observable at the next run of the upgraded Tevatron collider in the near future. At the LHC the pair production of light and heavy Higgs bosons might be detectable simultaneously.Comment: 5 pages, hep99, 6 figures; Presented at the International Europhysics Conference on High Energy Physics, Tampere, Finland, 15-21 July 199

(Re)thinking patient education and preparation in nuclear medicine and radiology departments: perspectives from technologists and recent-graduates

Patient-centered approach is gaining prominence in several areas of Medicine and is increasingly considered as an important paradigm for the provision of quality healthcare. The communication established between health professionals and patients in hospitals became increasingly seen as fundamental and to be valued, namely in areas such as Radiology (RD) or Nuclear Medicine (NM). Patient education is therefore a common practice in the NM and RD departments, mainly due to the lack of knowledge about this kind of procedures, which is believed to be a reality, based on our empirical evidence and on data not yet published. The aim of this study is to characterize current practices used in patient education in Portuguese Departments of Nuclear Medicine and Radiology.info:eu-repo/semantics/publishedVersio

On the taxonomic status of the genus Thrasyopsis (Poaceae, Panicoideae, Paspaleae): new combinations in Paspalum

The two species formerly assigned to the genus Thrasyopsis are transferred to Paspalum, on the basis of morphological and molecular evidence. The new combinations Paspalum rawitscheri and P. repandum are published.Fil: Rua, Gabriel Hugo. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Recursos Naturales y Ambiente. Cátedra de Botánica Agrícola; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Valls, José Francisco M.. Embrapa; Brasi

A Transformation Class for Spatio-temporal Survival Data with a Cure Fraction

We propose a hierarchical Bayesian methodology to model spatially or spatio-temporal clustered survival data with possibility of cure. A flexible continuous transformation class of survival curves indexed by a single parameter is used. This transformation model is a larger class of models containing two special cases of the well-known existing models: the proportional hazard and the proportional odds models. The survival curve is modeled as a function of a baseline cumulative distribution function, cure rates, and spatio-temporal frailties. The cure rates are modeled through a covariate link specification and the spatial frailties are specified using a conditionally autoregressive model with time-varying parameters resulting in a spatio-temporal formulation. The likelihood function is formulated assuming that the single parameter controlling the transformation is unknown and full conditional distributions are derived. A model with a non-parametric baseline cumulative distribution function is implemented and a Markov chain Monte Carlo algorithm is specified to obtain the usual posterior estimates, smoothed by regional level maps of spatio-temporal frailties and cure rates. Finally, we apply our methodology to melanoma cancer survival times for patients diagnosed in the state of New Jersey between 2000 and 2007, and with follow-up time until 2007

The Choice of Prior Distribution for A Covariance Matrix in Multivariate Meta-Analysis: A Simulation Study

Bayesian meta-analysis is an increasingly important component of clinical research, with multivariate meta-analysis a promising tool for studies with multiple endpoints. Model assumptions, including the choice of priors, are crucial aspects of multivariate Bayesian meta-analysis (MBMA) models. In a given model, two different prior distributions can lead to different inferences about a particular parameter. A simulation study was performed in which the impact of families of prior distributions for the covariance matrix of a multivariate normal random effects MBMA model was analyzed. Inferences about effect sizes were not particularly sensitive to prior choice, but the related covariance estimates were. A few families of prior distributions with small relative biases, tight mean squared errors, and close to nominal coverage for the effect size estimates were identified. Our results demonstrate the need for sensitivity analysis and suggest some guidelines for choosing prior distributions in this class of problems. The MBMA models proposed here are illustrated in a small meta-analysis example from the periodontal field and a medium meta-analysis from the study of stroke

The Choice of Prior Distribution for A Covariance Matrix in Multivariate Meta-Analysis: A Simulation Study

Bayesian meta-analysis is an increasingly important component of clinical research, with multivariate meta-analysis a promising tool for studies with multiple endpoints. Model assumptions, including the choice of priors, are crucial aspects of multivariate Bayesian meta-analysis (MBMA) models. In a given model, two different prior distributions can lead to different inferences about a particular parameter. A simulation study was performed in which the impact of families of prior distributions for the covariance matrix of a multivariate normal random effects MBMA model was analyzed. Inferences about effect sizes were not particularly sensitive to prior choice, but the related covariance estimates were. A few families of prior distributions with small relative biases, tight mean squared errors, and close to nominal coverage for the effect size estimates were identified. Our results demonstrate the need for sensitivity analysis and suggest some guidelines for choosing prior distributions in this class of problems. The MBMA models proposed here are illustrated in a small meta-analysis example from the periodontal field and a medium meta-analysis from the study of stroke

To shift, or not to shift: Adequate selection of an internal standard in mass-shift approaches using tandem ICP-mass spectrometry (ICP-MS/MS)

The use of an internal standard to correct for potential matrix effects and instrument instability is common practice in ICP-MS. However, with the introduction of a new generation of ICP-MS instrumentation with a tandem mass spectrometry configuration (ICP-MS/MS), the use of chemical resolution in a mass-shift approach has become much more popular, suggesting that the appropriate selection of an internal standard needs revision. In this particular case, it needs to be decided whether the internal standard should also be subjected to a mass-shift or can simply be monitored on-mass ("to shift, or not to shift"). In this work, 17 elements covering a wide range of masses (24-205 amu) and ionization energies (3.89-9.39 eV) were measured via on-mass and/or mass-shift strategies, and the corresponding atomic ions and reaction product ions were monitored during various systematic experiments. For mass-shifting, an NH3/He gas mixture was used to obtain NH3-based reaction product ions (cluster formation). Product ion scanning (PIS) was used for assessing the differences in reactivity between the different analytes and for the identification of the best suited reaction product ions. It was found that the use of chemical resolution can significantly affect the short-term signal stability and that ion signals measured on-mass are not affected in the same way as those measured mass-shifted. Variations affecting the signal intensities of both atomic and reaction product ions can be attributed to the ion-molecule chemistry occurring within the collision/reaction cell and were found to be related with some degree of initial instability in the cell and differences in reactivity. The use of a sufficiently long stabilization time, however, avoids or at least mitigates such differences in the behavior between signals monitored on-mass and after mass-shifting, respectively. Furthermore, the introduction of cell disturbances, such as those generated after quickly switching between different sets of operating conditions in a multi-tune method, revealed significant differences in signal behavior between atomic and reaction product ions, potentially hampering the use of an internal standard monitored on-mass when the analysis is based on an analyte monitored after mass-shifting. However, the use of a reasonable waiting time again greatly mitigates such differences, with the duration of this stabilization time depending on the magnitude of the cell disturbances (e.g., switch between vented and pressurized mode or only between pressurized modes using different gas flow rates). In addition, also the effect of varying different instrument settings (plasma power, torch position, and gas and liquid flow rates) was evaluated, but no remarkable differences were found between signals monitored on-mass and those mass-shifted. Interestingly, a statistical evaluation of the influence of the different settings on the signal intensities of all ions monitored did not reveal the a priori important role of some properties traditionally suggested for adequate selection of analyte/internal standard pairs, such as mass number or ionization energy, as also suggested in other recent studies. © The Royal Society of Chemistry