962 resultados para institutional change.


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Background: Glutamine and proline are metabolized in the liver and may collaborate on its regeneration. Parenteral nutrition (PN) containing either glutamine or proline was given to partially hepatectomized rats. The total RNA content and growth factor gene expression in hepatic remnants was measured, to determine the effects of these amino acid supplementation on the expression of growth factors during liver regeneration. Methods: Wistar rats nourished (HN) and malnourished (HM) were hepatectomized and divided in two groups: 20 receiving PN enriched with Alanyl-Glutamine (HN-Gln and HM-Gln) and 20 PN enriched with proline+alanine (HN-Pro and HM-Pro). The control groups comprised 7 nourished (CN) and 7 malnourished (CM) rats that didn`t undergo surgery. Growth factor and thymidine kinase mRNA levels were measured by RT-PCR. Results: In nourished rats, total hepatic RNA levels were lower in the HN-Gln and HN-Pro groups (0.75 and 0.63 mu g/mg tissue, respectively) than in control group (1.67 mu g/mg tissue) (P<0.05). In malnourished rats, total hepatic RNA content was higher in the HM-Pro group than FIN-Pro, HM-Gln, and CM (3.18 vs. 0.63, 0.93 and 1.10 mu g/mg, respectively; P<0.05). Hepatocyte growth factor mRNA was more abundant in the HM-Gln group when compared to CM (031 vs. 0.23 arbitrary units) and also in HM-Pro in relation to HM-Gln, HN-Pro, and CM (0.46 vs. 033 and 0.23, respectively, P<0.05). Conclusions: Proline or glutamine supplementation in malnourished rats improves total RNA content in the remnant hepatic tissue. Amino acids administration increased HGF gene expression after partial hepatectomy in malnourished rats, with a greater effect of proline than glutamine.

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Objective: To describe and compare foot anthropometry in healthy and diabetic subjects using Medial Longitudinal Arch (MLA) classificatory indexes: Arch Index (AI), Chippaux-Smirak Index (CSI) and (A) over cap Angle ((A) over cap), as well as to compare the classification of these methods in each group. Materials and Methods: Control Group (CG) composed by 21 healthy subjects and Diabetic Group (DG), with 46 diabetic neuropathy subjects. The indexes were calculated from footprints. Results: A larger proportion of flat feet was seen in DG for the three indexes (At: 32,2%, CSI: 59,7%, A: 17,5%), while highly arched feet acted oppositely. The groups were statistically different for the proportion of flat feet in (A) over cap (p=0,0080) and CSI (p=0,0000) and high feet in A (p=0,0036). There were significant differences when compared GC and GD in the three indexes: IA (p 0,0027), CSI (p=0,0064), (A) over cap (p=0,0296). Conclusion: Data showed motor and orthopedic changes originated by peripheral neuropathy, which is responsible for foot changes, causing longitudinal arch crumbling. It was seen that A Angle strongly disagreed when compared with the arch classification made by the other two indexes and therefore, its application needs care.

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Background The development of products and services for health care systems is one of the most important phenomena to have occurred in the field of health care over the last 50 years. It generates significant commercial, medical and social results. Although much has been done to understand how health technologies are adopted and regulated in developed countries, little attention has been paid to the situation in low- and middle-income countries (LMICs). Here we examine the institutional environment in which decisions are made regarding the adoption of expensive medical devices into the Brazilian health care system. Methods We used a case study strategy to address our research question. The empirical work relied on in-depth interviews (N = 16) with representatives of a wide range of actors and stakeholders that participate in the process of diffusion of CT (computerized tomography) scanners in Brazil, including manufacturers, health care organizations, medical specialty societies, health insurance companies, regulatory agencies and the Ministry of Health. Results The adoption of CT scanners is not determined by health policy makers or third-party payers of public and private sectors. Instead, decisions are primarily made by administrators of individual hospitals and clinics, strongly influenced by both physicians and sales representatives of the medical industry who act as change agents. Because this process is not properly regulated by public authorities, health care organizations are free to decide whether, when and how they will adopt a particular technology. Conclusions Our study identifies problems in how health care systems in LMICs adopt new, expensive medical technologies, and suggests that a set of innovative approaches and policy instruments are needed in order to balance the institutional and professional desire to practise a modern and expensive medicine in a context of health inequalities and basic health needs.

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