33 research outputs found

    A Systematic Review of Cost-of-Illness Studies of Multimorbidity

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    Objectives: The economic burden of multimorbidity is considerable. This review analyzed the methods of cost-of-illness (COI) studies and summarized the economic outcomes of multimorbidity. Methods: A systematic review (2000–2016) was performed, which was registered with Prospero, reported according to PRISMA, and used a quality checklist adapted for COI studies. The inclusion criteria were peer-reviewed COI studies on multimorbidity, whereas the exclusion criterion was studies focusing on an index disease. Extracted data included the definition, measure, and prevalence of multimorbidity; the number of included health conditions; the age of study population; the variables used in the COI methodology; the percentage of multimorbidity vs. total costs; and the average costs per capita. Results: Among the 26 included articles, 14 defined multimorbidity as a simple count of 2 or more conditions. Methodologies used to derive the costs were markedly different. Given different healthcare systems, OOP payments of multimorbidity varied across countries. In the 17 and 12 studies with cut-offs of ≥2 and ≥3 conditions, respectively, the ratios of multimorbidity to non-multimorbidity costs ranged from 2–16 to 2–10. Among the ten studies that provided cost breakdowns, studies with and without a societal perspective attributed the largest percentage of multimorbidity costs to social care and inpatient care/medicine, respectively. Conclusion: Multimorbidity was associated with considerable economic burden. Synthesising the cost of multimorbidity was challenging due to multiple definitions of multimorbidity and heterogeneity in COI methods. Count method was most popular to define multimorbidity. There is consistent evidence that multimorbidity was associated with higher costs

    Economic evaluation in the field of mental health: conceptual basis

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    Objective: Technological advances in medicine have given rise to a dilemma concerning the use of new health technologies in a context of limited financial resources. In the field of psychiatry, health economic evaluation is a recent method that can assist in choosing interventions with different cost and/or effectiveness for specific populations or conditions. This article introduces clinicians to the fundamental concepts required for critical assessment of health economic evaluations. Methods: The authors conducted a review with systematic methods to assess the essential theoretical framework of health economic evaluation and mental health in Brazil through textbooks and studies indexed in the PubMed, Cochrane Central, LILACS, NHS CRD, and REBRATS databases. A total of 334 studies were found using the specified terms (MeSH - Mental Health AND Economic, Medical) and filters (Brazil AND Humans); however, only five Brazilian economic evaluations were found. Results and conclusions: Economic evaluation studies are growing exponentially in the medical literature. Publications focusing on health economics as applied to psychiatry are increasingly common, but Brazilian data are still very incipient. In a country where financial resources are so scarce, economic analyses are necessary to ensure better use of public resources and wider population access to effective health technologies

    How to Appropriately Extrapolate Costs and Utilities in Cost-Effectiveness Analysis

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    Costs and utilities are key inputs into any cost-effectiveness analysis. Their estimates are typically derived from individual patient-level data collected as part of clinical studies the follow-up duration of which is often too short to allow a robust quantification of the likely costs and benefits a technology will yield over the patient’s entire lifetime. In the absence of long-term data, some form of temporal extrapolation—to project short-term evidence over a longer time horizon—is required. Temporal extrapolation inevitably involves assumptions regarding the behaviour of the quantities of interest beyond the time horizon supported by the clinical evidence. Unfortunately, the implications for decisions made on the basis of evidence derived following this practice and the degree of uncertainty surrounding the validity of any assumptions made are often not fully appreciated. The issue is compounded by the absence of methodological guidance concerning the extrapolation of non-time-to-event outcomes such as costs and utilities. This paper considers current approaches to predict long-term costs and utilities, highlights some of the challenges with the existing methods, and provides recommendations for future applications. It finds that, typically, economic evaluation models employ a simplistic approach to temporal extrapolation of costs and utilities. For instance, their parameters (e.g. mean) are typically assumed to be homogeneous with respect to both time and patients’ characteristics. Furthermore, costs and utilities have often been modelled to follow the dynamics of the associated time-to-event outcomes. However, cost and utility estimates may be more nuanced, and it is important to ensure extrapolation is carried out appropriately for these parameters

    L-delta-(alpha-Aminoadipoyl)-L-cysteinyl-D-valine synthetase: thioesterification of valine is not obligatory for peptide bond formation.

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    L-delta-(alpha-Aminoadipoyl)-L-cysteinyl-D-valine (ACV) synthetase is probably the simplest known peptide synthetase in terms of the number of reactions catalyzed. In the "thiol-template" proposal for nonribosomal peptide synthesis, a key step is transfer of aminoacyl groups derived from the substrates to enzyme-bound thiols prior to peptide bond formation. No incorporation of 18O was seen in AMP isolated from the reaction mixture when di[18O]valine was incubated with relatively large amounts of active synthetase and MgATP. We therefore utilized di[18O]valine as a substrate for the biosynthesis of the diastereomeric dipeptides L-O-(methylserinyl)-L-valine and L-O-(methylserinyl)-D-valine [Shiau, C.-Y., Baldwin, J. E., Byford, M. F., Sobey, W. J., and Schofield, C. J. (1995) FEBS Lett. 358, 97-100]. In the L-O-(methylserinyl)-L-valine product, no significant loss of 18O was observed. However, in the L-O-(methylserinyl)-D-valine product, a significant loss of one or both 18O labels was observed. Thus, both peptide bond formation and the epimerization of the valine residue can both occur before formation of any thioester bond to the valine carboxylate in the biosynthesis of these dipeptides. The usual qualitative test for thioesterification of substrates to the synthetase, lability of enzyme-bound radiolabeled amino acid to performic acid, proved inconclusive in our hands. These results require a new mechanism for the enzymic synthesis of L-O-(methylserinyl)-L-valine and L-O-(methylserinyl)-D-valine and imply that a revised mechanism for ACV synthesis is also required

    BirA enzyme: production and application in the study of membrane receptor-ligand interactions by site-specific biotinylation.

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    The enzyme BirA is a key reagent because of its ability to biotinylate proteins at a specific residue in a recognition sequence. We report a rapid, efficient, and economical method for the production, purification, and application of this enzyme. The method is easily scaled up and the protein produced is of high purity and can be stored for many months with retention of activity. We have used this enzyme to biotinylate the C termini of membrane proteins, allowing these proteins to be tetramerized by binding to streptavidin. Because of the specificity of the biotinylation at the C terminus, the orientation of the membrane proteins on the streptavidin is equivalent to that of the native protein on the cell surface. These tetrameric proteins can be used to study protein receptor-ligand interactions at the cell surface, and site-specific biotinylation can be used to study proteins in vitro using a defined orientation
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