3 resultados para DESCRIPTORS

em DigitalCommons@The Texas Medical Center


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A variety of occupational hazards are indigenous to academic and research institutions, ranging from traditional life safety concerns, such as fire safety and fall protection, to specialized occupational hygiene issues such as exposure to carcinogenic chemicals, radiation sources, and infectious microorganisms. Institutional health and safety programs are constantly challenged to establish and maintain adequate protective measures for this wide array of hazards. A unique subset of academic and research institutions are classified as historically Black universities which provide educational opportunities primarily to minority populations. State funded minority schools receive less resources than their non-minority counterparts, resulting in a reduced ability to provide certain programs and services. Comprehensive health and safety services for these institutions may be one of the services compromised, resulting in uncontrolled exposures to various workplace hazards. Such a result would also be contrary to the national health status objectives to improve preventive health care measures for minority populations.^ To determine if differences exist, a cross-sectional survey was performed to evaluate the relative status of health and safety programs present within minority and non-minority state-funded academic and research institutions. Data were obtained from direct mail questionnaires, supplemented by data from publicly available sources. Parameters for comparison included reported numbers of full and part-time health and safety staff, reported OSHA 200 log (or equivalent) values, and reported workers compensation experience modifiers. The relative impact of institutional minority status, institution size, and OSHA regulatory environment, was also assessed. Additional health and safety program descriptors were solicited in an attempt to develop a preliminary profile of the hazards present in this unique work setting.^ Survey forms were distributed to 24 minority and 51 non-minority institutions. A total of 72% of the questionnaires were returned, with 58% of the minority and 78% of the non-minority institutions participating. The mean number of reported full-time health and safety staff for the responding minority institutions was determined to be 1.14, compared to 3.12 for the responding non-minority institutions. Data distribution variances were stabilized using log-normal transformations, and although subsequent analysis indicated statistically significant differences, the differences were found to be predicted by institution size only, and not by minority status or OSHA regulatory environment. Similar results were noted for estimated full-time equivalent health and safety staffing levels. Significant differences were not noted between reported OSHA 200 log (or equivalent) data, and a lack of information provided on workers compensation experience modifiers prevented comparisons on insurance premium expenditures. Other health and safety program descriptive information obtained served to validate the study's presupposition that the inclusion criteria would encompass those organizations with occupational risks from all four major hazard categories. Worker medical surveillance programs appeared to exist at most institutions, but the specific tests completed were not readily identifiable.^ The results of this study serve as a preliminary description of the health and safety programs for a unique set of workplaces have not been previously investigated. Numerous opportunities for further research are noted, including efforts to quantify the relative amount of each hazard present, the further definition of the programs reported to be in place, determination of other means to measure health outcomes on campuses, and comparisons among other culturally diverse workplaces. ^

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Objectives. The central objective of this study was to systematically examine the internal structure of multihospital systems, determining the management principles used and the performance levels achieved in medical care and administrative areas.^ The Universe. The study universe consisted of short-term general American hospitals owned and operated by multihospital corporations. Corporations compared were the investor-owned (for-profit) and the voluntary multihospital systems. The individual hospital was the unit of analysis for the study.^ Theoretical Considerations. The contingency theory, using selected aspects of the classical and human relations schools of thought, seemed well suited to describe multihospital organization and was used in this research.^ The Study Hypotheses. The main null hypotheses generated were that there are no significant differences between the voluntary and the investor-owned multihospital sectors in their (1) hospital structures and (2) patient care and administrative performance levels.^ The Sample. A stratified random sample of 212 hospitals owned by multihospital systems was selected to equally represent the two study sectors. Of the sampled hospitals approached, 90.1% responded.^ The Analysis. Sixteen scales were constructed in conjunction with 16 structural variables developed from the major questions and sub-items of the questionnaire. This was followed by analysis of an additional 7 structural and 24 effectiveness (performance) measures, using frequency distributions. Finally, summary statistics and statistical testing for each variable and sub-items were completed and recorded in 38 tables.^ Study Findings. While it has been argued that there are great differences between the two sectors, this study found that with a few exceptions the null hypotheses of no difference in organizational and operational characteristics of non-profit and for-profit hospitals was accepted. However, there were several significant differences found in the structural variables: functional specialization, and autonomy were significantly higher in the voluntary sector. Only centralization was significantly different in the investor owned. Among the effectiveness measures, occupancy rate, cost of data processing, total manhours worked, F.T.E. ratios, and personnel per occupied bed were significantly higher in the voluntary sector. The findings indicated that both voluntary and for-profit systems were converging toward a common hierarchical corporate management approach. Factors of size and management style may be better descriptors to characterize a specific multihospital group than its profit or nonprofit status. (Abstract shortened with permission of author.) ^

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Tumor necrosis factor (TNF)-Receptor Associated Factors (TRAFs) are a family of signal transducer proteins. TRAF6 is a unique member of this family in that it is involved in not only the TNF superfamily, but the toll-like receptor (TLR)/IL-1R (TIR) superfamily. The formation of the complex consisting of Receptor Activator of Nuclear Factor κ B (RANK), with its ligand (RANKL) results in the recruitment of TRAF6, which activates NF-κB, JNK and MAP kinase pathways. TRAF6 is critical in signaling with leading to release of various growth factors in bone, and promotes osteoclastogenesis. TRAF6 has also been implicated as an oncogene in lung cancer and as a target in multiple myeloma. In the hopes of developing small molecule inhibitors of the TRAF6-RANK interaction, multiple steps were carried out. Computational prediction of hot spot residues on the protein-protein interaction of TRAF6 and RANK were examined. Three methods were used: Robetta, KFC2, and HotPoint, each of which uses a different methodology to determine if a residue is a hot spot. These hot spot predictions were considered the basis for resolving the binding site for in silico high-throughput screening using GOLD and the MyriaScreen database of drug/lead-like compounds. Computationally intensive molecular dynamics simulations highlighted the binding mechanism and TRAF6 structural changes upon hit binding. Compounds identified as hits were verified using a GST-pull down assay, comparing inhibition to a RANK decoy peptide. Since many drugs fail due to lack of efficacy and toxicity, predictive models for the evaluation of the LD50 and bioavailability of our TRAF6 hits, and these models can be used towards other drugs and small molecule therapeutics as well. Datasets of compounds and their corresponding bioavailability and LD50 values were curated based, and QSAR models were built using molecular descriptors of these compounds using the k-nearest neighbor (k-NN) method, and quality of these models were cross-validated.