170 resultados para MINISTERIO ECLESIASTICO


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BACKGROUND In the actual context of population ageing and extension of working age, programs for health promotion at the workplace are a key and necessary tool to promote an active and healthy ageing. This work presents the methodological process followed to elaborate a checklist tool, within the framework of the European project Progress, that contributes to orientate planning, implementation and evaluation of good practices in this field, to be applicable to a variety of programs, countries and workplaces. METHODS A Delphi technique has been applied in three rounds in which experts in the area from five European countries participated. A questionnaire created from a list of criteria and indicators was adapted throughout the rounds, with the use of webmail, to the evaluation of interventions in the field of interest. Through processes of assessment and consensus, criteria and indicators most relevant were prioritized. RESULTS From the nine starting criteria and after the implementation of the technique, four key criteria were prioritized: relevance: 62, adequacy to objective: 57, innovation: 50 and guarantee of quality: 41. Using this group of criteria and indicators, a checklist was designed containing the key information that should be collected for planning, implementation and evaluation of good practices in interventions in this field. CONCLUSIONS The checklist tool helps to systematize the global methodology for the implementation of interventions which could be very useful for persons responsible of programmes to promote active and healthy ageing in the workplace.

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In this second article of a series of three, we will discuss using the Metaplan technique on controversial issues of health outcomes in economic evaluation of health care interventions. The four-discussion areas focus on: choice of health outcomes measures, where any outcome measure is superior to another; extrapolation and transferability of health outcomes measures, which should not be assumed the results of an EEIS of one country to another without making certain adjustments; appropriate instruments to measure quality of life in Spain, where the EQ-5D was indicated as convenient due to its widespread international use; and, indirect comparisons, where the combination of both comparisons, direct and indirect, it would be advisable if the test for indirect estimates is consistent and has been validated. Finally, research lines to try to overcome the identified discrepancies were identified in each of these areas, some of those are: doing studies of correlation between scores of specific and generic instruments measuring quality of life; update or create a database of economic evaluations in Spain; estimating utilities for the Spanish population by existing generic and specific instruments; or, establish a common way to show the results of a meta-analysis network.

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The impact of antimicrobial resistance on clinical outcomes is the subject of ongoing investigations, although uncertainty remains about its contribution to mortality. We investigated the impact of carbapenem resistance on mortality in Pseudomonas aeruginosa bacteremia in a prospective multicenter (10 teaching hospitals) observational study of patients with monomicrobial bacteremia followed up for 30 days after the onset of bacteremia. The adjusted influence of carbapenem resistance on mortality was studied by using Cox regression analysis. Of 632 episodes, 487 (77%) were caused by carbapenem-susceptible P. aeruginosa (CSPA) isolates, and 145 (23%) were caused by carbapenem-resistant P. aeruginosa (CRPA) isolates. The median incidence density of nosocomial CRPA bacteremia was 2.3 episodes per 100,000 patient-days (95% confidence interval [CI], 1.9 to 2.8). The regression demonstrated a time-dependent effect of carbapenem resistance on mortality as well as a significant interaction with the Charlson index: the deleterious effect of carbapenem resistance on mortality decreased with higher Charlson index scores. The impact of resistance on mortality was statistically significant only from the fifth day after the onset of the bacteremia, reaching its peak values at day 30 (adjusted hazard ratio for a Charlson score of 0 at day 30, 9.9 [95% CI, 3.3 to 29.4]; adjusted hazard ratio for a Charlson score of 5 at day 30, 2.6 [95% CI, 0.8 to 8]). This study clarifies the relationship between carbapenem resistance and mortality in patients with P. aeruginosa bacteremia. Although resistance was associated with a higher risk of mortality, the study suggested that this deleterious effect may not be as great during the first days of the bacteremia or in the presence of comorbidities.

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The development of the economic evaluation of health care interventions has become a support tool in making decisions on pricing and reimbursement of new health interventions. The increasingly extensive application of these techniques has led to the identification of particular situations in which, for various reasons, it may be reasonable to take into account special considerations when applying the general principles of economic evaluation. In this article, which closes a series of three, we will discuss, using the Metaplan technique, about the economic evaluation of health interventions in special situations such as rare diseases and end of life treatments, as well as consideration of externalities in assessments, finally pointing out some research areas to solve the main problems identified in these fields.

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The restoration of body composition (BC) parameters is considered to be one of the most important goals in the treatment of patients with anorexia nervosa (AN). However, little is known about differences between AN diagnostic subtypes [restricting (AN-R) and binge/purging (AN-BP)] and weekly changes in BC during refeeding treatment. Therefore, the main objectives of our study were twofold: 1) to assess the changes in BC throughout nutritional treatment in an AN sample and 2) to analyze predictors of BC changes during treatment, as well as predictors of treatment outcome. The whole sample comprised 261 participants [118 adult females with AN (70 AN-R vs. 48 AN-BP), and 143 healthy controls]. BC was measured weekly during 15 weeks of day-hospital treatment using bioelectrical impedance analysis (BIA). Assessment measures also included the Eating Disorders Inventory-2, as well as a number of other clinical indices. Overall, the results showed that AN-R and AN-BP patients statistically differed in all BC measures at admission. However, no significant time×group interaction was found for almost all BC parameters. Significant time×group interactions were only found for basal metabolic rate (p = .041) and body mass index (BMI) (p = .035). Multiple regression models showed that the best predictors of pre-post changes in BC parameters (namely fat-free mass, muscular mass, total body water and BMI) were the baseline values of BC parameters. Stepwise predictive logistic regressions showed that only BMI and age were significantly associated with outcome, but not with the percentage of body fat. In conclusion, these data suggest that although AN patients tended to restore all BC parameters during nutritional treatment, only AN-BP patients obtained the same fat mass values as healthy controls. Put succinctly, the best predictors of changes in BC were baseline BC values, which did not, however, seem to influence treatment outcome.