219 research outputs found
Financial Statements, 2006
https://irl.umsl.edu/cab/1234/thumbnail.jp
Financial Statements, 2005
https://irl.umsl.edu/cab/1232/thumbnail.jp
Financial Statements, 2004
https://irl.umsl.edu/cab/1231/thumbnail.jp
Financial Statements, 2003
https://irl.umsl.edu/cab/1233/thumbnail.jp
Financial Statements, 2002
https://irl.umsl.edu/cab/1235/thumbnail.jp
Demand and access to mental health services: a qualitative formative study in Nepal
BACKGROUND: Nepal is experiencing a significant 'treatment gap' in mental health care. People with mental disorders do not always receive appropriate treatment due to a range of structural and individual issues, including stigma and poverty. The PRIME (Programme for Improving Mental Health Care) programme has developed a mental health care plan to address this issue in Nepal and four other low and middle income countries. This study aims to inform the development of this comprehensive care plan by investigating the perceptions of stakeholders at different levels of the care system in the district of Chitwan in southern Nepal: health professionals, lay workers and community members. It focuses specifically on issues of demand and access to care, and aims to identify barriers and potential solutions for reaching people with priority mental disorders. METHODS: This qualitative study consisted of key informant interviews (33) and focus group discussions (83 participants in 9 groups) at community and health facility levels. Data were analysed using a framework analysis approach. RESULTS: As well as pragmatic barriers at the health facility level, mental health stigma and certain cultural norms were found to reduce access and demand for services. Respondents perceived the lack of awareness about mental health problems to be a major problem underlying this, even among those with high levels of education or status. They proposed strategies to improve awareness, such as channelling education through trusted and respected community figures, and responding to the need for openness or privacy in educational programmes, depending on the issue at hand. Adapting to local perceptions of stigmatised treatments emerged as another key strategy to improve demand. CONCLUSIONS: This study identifies barriers to accessing care in Nepal that reach beyond the health facility and into the social fabric of the community. Stakeholders in PRIME's integrated care plan advocate strategic awareness raising initiatives to improve the reach of integrated services in this low-income setting
BRAHMS: Novel middleware for integrated systems computation
Biological computational modellers are becoming increasingly interested in building large, eclectic models, including components on many different computational substrates, both biological and non-biological. At the same time, the rise of the philosophy of embodied modelling is generating a need to deploy biological models as controllers for robots in real-world environments. Finally, robotics engineers are beginning to find value in seconding biomimetic control strategies for use on practical robots. Together with the ubiquitous desire to make good on past software development effort, these trends are throwing up new challenges of intellectual and technological integration (for example across scales, across disciplines, and even across time) - challenges that are unmet by existing software frameworks. Here, we outline these challenges in detail, and go on to describe a newly developed software framework, BRAHMS. that meets them. BRAHMS is a tool for integrating computational process modules into a viable, computable system: its generality and flexibility facilitate integration across barriers, such as those described above, in a coherent and effective way. We go on to describe several cases where BRAHMS has been successfully deployed in practical situations. We also show excellent performance in comparison with a monolithic development approach. Additional benefits of developing in the framework include source code self-documentation, automatic coarse-grained parallelisation, cross-language integration, data logging, performance monitoring, and will include dynamic load-balancing and 'pause and continue' execution. BRAHMS is built on the nascent, and similarly general purpose, model markup language, SystemML. This will, in future, also facilitate repeatability and accountability (same answers ten years from now), transparent automatic software distribution, and interfacing with other SystemML tools. (C) 2009 Elsevier Ltd. All rights reserved
Contrast agent-free functional magnetic resonance imaging with matrix pencil decomposition to quantify abnormalities in lung perfusion and ventilation in patients with cystic fibrosis
BackgroundPrevious studies showed that contrast-enhanced (CE) morpho-functional magnetic resonance imaging (MRI) detects abnormalities in lung morphology and perfusion in patients with cystic fibrosis (CF). Novel matrix pencil decomposition MRI (MP-MRI) enables quantification of lung perfusion and ventilation without intravenous contrast agent administration.ObjectivesTo compare MP-MRI with established morpho-functional MRI and spirometry in patients with CF.MethodsThirty-nine clinically stable patients with CF (mean age 21.6 ± 10.7 years, range 8–45 years) prospectively underwent morpho-functional MRI including CE perfusion MRI, MP-MRI and spirometry. Two blinded chest radiologists assessed morpho-functional MRI and MP-MRI employing the validated chest MRI score. In addition, MP-MRI data were processed by automated software calculating perfusion defect percentage (QDP) and ventilation defect percentage (VDP).ResultsMP perfusion score and QDP correlated strongly with the CE perfusion score (both r = 0.81; p < 0.01). MP ventilation score and VDP showed strong inverse correlations with percent predicted FEV1 (r = −0.75 and r = −0.83; p < 0.01). The comparison of visual and automated parameters showed that both MP perfusion score and QDP, and MP ventilation score and VDP were strongly correlated (r = 0.74 and r = 0.78; both p < 0.01). Further, the MP perfusion score and MP ventilation score, as well as QDP and VDP were strongly correlated (r = 0.88 and r = 0.86; both p < 0.01).ConclusionMP-MRI detects abnormalities in lung perfusion and ventilation in patients with CF without intravenous or inhaled contrast agent application, and correlates strongly with the well-established CE perfusion MRI score and spirometry. Automated analysis of MP-MRI may serve as quantitative noninvasive outcome measure for diagnostic monitoring and clinical trials
Maternal mental health in primary care in five low- and middle-income countries: a situational analysis.
BACKGROUND: The integration of maternal mental health into primary health care has been advocated to reduce the mental health treatment gap in low- and middle-income countries (LMICs). This study reports findings of a cross-country situation analysis on maternal mental health and services available in five LMICs, to inform the development of integrated maternal mental health services integrated into primary health care. METHODS: The situation analysis was conducted in five districts in Ethiopia, India, Nepal, South Africa and Uganda, as part of the Programme for Improving Mental Health Care (PRIME). The analysis reports secondary data on the prevalence and impact of priority maternal mental disorders (perinatal depression, alcohol use disorders during pregnancy and puerperal psychosis), existing policies, plans and services for maternal mental health, and other relevant contextual factors, such as explanatory models for mental illness. RESULTS: Limited data were available at the district level, although generalizable data from other sites was identified in most cases. Community and facility-based prevalences ranged widely across PRIME countries for perinatal depression (3-50Â %) and alcohol consumption during pregnancy (5-51Â %). Maternal mental health was included in mental health policies in South Africa, India and Ethiopia, and a mental health care plan was in the process of being implemented in South Africa. No district reported dedicated maternal mental health services, but referrals to specialised care in psychiatric units or general hospitals were possible. No information was available on coverage for maternal mental health care. Challenges to the provision of maternal mental health care included; limited evidence on feasible detection and treatment strategies for maternal mental disorders, lack of mental health specialists in the public health sector, lack of prescribing guidelines for pregnant and breastfeeding women, and stigmatising attitudes among primary health care staff and the community. CONCLUSIONS: It is difficult to anticipate demand for mental health care at district level in the five countries, given the lack of evidence on the prevalence and treatment coverage of women with maternal mental disorders. Limited evidence on effective psychosocial interventions was also noted, and must be addressed for mental health programmes, such as PRIME, to implement feasible and effective services
Characterization of transient and progressive pulmonary fibrosis by spatially correlated phase contrast microCT, classical histopathology and atomic force microscopy
: Pulmonary fibrosis (PF) is a severe and progressive condition in which the lung becomes scarred over time resulting in pulmonary function impairment. Classical histopathology remains an important tool for micro-structural tissue assessment in the diagnosis of PF. A novel workflow based on spatial correlated propagation-based phase-contrast micro computed tomography (PBI-microCT), atomic force microscopy (AFM) and histopathology was developed and applied to two different preclinical mouse models of PF - the commonly used and well characterized Bleomycin-induced PF and a novel mouse model for progressive PF caused by conditional Nedd4-2 KO. The aim was to integrate structural and mechanical features from hallmarks of fibrotic lung tissue remodeling. PBI-microCT was used to assess structural alteration in whole fixed and paraffin embedded lungs, allowing for identification of fibrotic foci within the 3D context of the entire organ and facilitating targeted microtome sectioning of planes of interest for subsequent histopathology. Subsequently, these sections of interest were subjected to AFM to assess changes in the local tissue stiffness of previously identified structures of interest. 3D whole organ analysis showed clear morphological differences in 3D tissue porosity between transient and progressive PF and control lungs. By integrating the results obtained from targeted AFM analysis, it was possible to discriminate between the Bleomycin model and the novel conditional Nedd4-2 KO model using agglomerative cluster analysis. As our workflow for 3D spatial correlation of PBI, targeted histopathology and subsequent AFM is tailored around the standard procedure of formalin-fixed paraffin-embedded (FFPE) tissue specimens, it may be a powerful tool for the comprehensive tissue assessment beyond the scope of PF and preclinical research
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