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Introduction: In Latin America, tobacco smoking prevalence is between 6.4% and 35.2%. Governments have been making efforts to support the regulation of advertising and, in many cases, banning advertising and promotion of tobacco altogether. The objective of this study was to evaluate the potential impact on health and economic outcomes of optimizing a ban on tobacco advertising and sponsorship in Argentina, Bolivia, Brazil, Chile, Colombia, Mexico, and Peru. Methods: We built a probabilistic microsimulation model, considering natural history, direct health system costs, and quality of life impairment associated with main tobacco-related diseases. We followed individuals in hypothetical cohorts and calculated health outcomes on an annual basis to obtain aggregated 10-year population health outcomes (deaths, events, healthy years of life) and costs. To populate the model, we performed a rapid review of literature to calculate intervention effectiveness. Results: With current policies, over 10 years, in Argentina, Bolivia, Brazil, Chile, and Colombia a total of 50,000 deaths and 364,000 disease events will be averted, saving $7.2 billion. If the seven countries strengthened their policies and implemented a comprehensive ban with 100% compliance, 98,000 deaths and 648,000 events would be averted over 10 years, saving almost $15 billion in healthcare costs. Conclusions: Optimizing a ban on tobacco advertising and sponsorship would substantially reduce deaths, diseases, and health care costs attributed to smoking. Latin American countries should not delay the full implementation of this strategy.

Background There are controversies about the amount of calories and the type of nutritional support that should be given to critically‐ill people. Several authors advocate the potential benefits of hypocaloric nutrition support, but the evidence is inconclusive. Objectives To assess the effects of prescribed hypocaloric nutrition support in comparison with standard nutrition support for critically‐ill adults Search methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL, Cochrane Library), MEDLINE, Embase and LILACS (from inception to 20 June 2017) with a specific strategy for each database. We also assessed three websites, conference proceedings and reference lists, and contacted leaders in the field and the pharmaceutical industry for undetected/unpublished studies. There was no restriction by date, language or publication status. Selection criteria We included randomized and quasi‐randomized controlled trials comparing hypocaloric nutrition support to normo‐ or hypercaloric nutrition support or no nutrition support (e.g. fasting) in adults hospitalized in intensive care units (ICUs). Data collection and analysis We used standard methodological procedures expected by Cochrane. We meta‐analysed data for comparisons in which clinical heterogeneity was low. We conducted prespecified subgroup and sensitivity analyses, and post hoc analyses, including meta‐regression. Our primary outcomes were: mortality (death occurred during the ICU and hospital stay, or 28‐ to 30‐day all‐cause mortality); length of stay (days stayed in the ICU and in the hospital); and Infectious complications. Secondary outcomes included: length of mechanical ventilation. We assessed the quality of evidence with GRADE. Main results We identified 15 trials, with a total of 3129 ICU participants from university‐associated hospitals in the USA, Colombia, Saudi Arabia, Canada, Greece, Germany and Iran. There are two ongoing studies. Participants suffered from medical and surgical conditions, with a variety of inclusion criteria. Four studies used parenteral nutrition and nine studies used only enteral nutrition; it was unclear whether the remaining two used parenteral nutrition. Most of them could not achieve the proposed caloric targets, resulting in small differences in the administered calories between intervention and control groups. Most studies were funded by the US government or non‐governmental associations, but three studies received funding from industry. Five studies did not specify their funding sources. The included studies suffered from important clinical and statistical heterogeneity. This heterogeneity did not allow us to report pooled estimates of the primary and secondary outcomes, so we have described them narratively. When comparing hypocaloric nutrition support with a control nutrition support, for hospital mortality (9 studies, 1775 participants), the risk ratios ranged from 0.23 to 5.54; for ICU mortality (4 studies, 1291 participants) the risk ratios ranged from 0.81 to 5.54, and for mortality at 30 days (7 studies, 2611 participants) the risk ratios ranged from 0.79 to 3.00. Most of these estimates included the null value. The quality of the evidence was very low due to unclear or high risk of bias, inconsistency and imprecision. Participants who received hypocaloric nutrition support compared to control nutrition support had a range of mean hospital lengths of stay of 15.70 days lower to 10.70 days higher (10 studies, 1677 participants), a range of mean ICU lengths of stay 11.00 days lower to 5.40 days higher (11 studies, 2942 participants) and a range of mean lengths of mechanical ventilation of 13.20 days lower to 8.36 days higher (12 studies, 3000 participants). The quality of the evidence for this outcome was very low due to unclear or high risk of bias in most studies, inconsistency and imprecision. The risk ratios for infectious complications (10 studies, 2804 participants) of each individual study ranged from 0.54 to 2.54. The quality of the evidence for this outcome was very low due to unclear or high risk of bias, inconsistency and imprecision We were not able to explain the causes of the observed heterogeneity using subgroup and sensitivity analyses or meta‐regression. Authors' conclusions The included studies had substantial clinical heterogeneity. We found very low‐quality evidence about the effects of prescribed hypocaloric nutrition support on mortality in hospital, in the ICU and at 30 days, as well as in length of hospital and ICU stay, infectious complications and the length of mechanical ventilation. For these outcomes there is uncertainty about the effects of prescribed hypocaloric nutrition, since the range of estimates includes both appreciable benefits and harms. Given these limitations, results must be interpreted with caution in the clinical field, considering the unclear balance of the risks and harms of this intervention. Future research addressing the clinical heterogeneity of participants and interventions, study limitations and sample size could clarify the effects of this intervention.

BACKGROUND: Pharmaceuticals are important interventions that could improve people's health. Pharmaceutical pricing and purchasing policies are used as cost‐containment measures to determine or affect the prices that are paid for drugs. Internal reference pricing establishes a benchmark or reference price within a country which is the maximum level of reimbursement for a group of drugs. Other policies include price controls, maximum prices, index pricing, price negotiations and volume‐based pricing. OBJECTIVES: To determine the effects of pharmaceutical pricing and purchasing policies on health outcomes, healthcare utilisation, drug expenditures and drug use. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), part of The Cochrane Library (including the Effective Practice and Organisation of Care Group Register) (searched 22/10/2012); MEDLINE In‐Process & Other Non‐Indexed Citations and MEDLINE, Ovid (searched 22/10/2012); EconLit, ProQuest (searched 22/10/2012); PAIS International, ProQuest (searched 22/10/2012); World Wide Political Science Abstracts, ProQuest (searched 22/10/2012); INRUD Bibliography (searched 22/10/2012); Embase, Ovid (searched 14/12/2010); NHSEED, part of The Cochrane Library (searched 08/12/2010); LILACS, VHL (searched 14/12/2010); International Political Science Abstracts (IPSA), Ebsco (searched (17/12/2010); OpenSIGLE (searched 21/12/10); WHOLIS, WHO (searched 17/12/2010); World Bank (Documents and Reports) (searched 21/12/2010); Jolis (searched 09/10/2011); Global Jolis (searched 09/10/2011) ; OECD (searched 30/08/2005); OECD iLibrary (searched 30/08/2005); World Bank eLibrary (searched 21/12/2010); WHO ‐ The Essential Drugs and Medicines web site (browsed 21/12/2010). SELECTION CRITERIA: Policies in this review were defined as laws; rules; financial and administrative orders made by governments, non‐government organisations or private insurers. To be included a study had to include an objective measure of at least one of the following outcomes: ...

Introduction: The burden of disease attributable to tobacco use in Latin America is very high. Our objective was to evaluate the 10-year potential impact of current legislation related to cigarette packaging and warnings and expected effects of moving to a higher level of strategies implementing cigarette plain packaging on health and cost outcomes in Argentina, Bolivia, Brazil, Chile, Colombia, Mexico, and Peru, using a microsimulation model. Aims and Methods: We used a probabilistic state-transition microsimulation model, considering natural history, costs, and quality of life losses associated with main tobacco-related diseases. We followed up individuals in hypothetical cohorts and calculated health outcomes annually to obtain aggregated long-term population health outcomes and costs. We performed a literature review to estimate effects and analyzed studies and information from ministries, relevant organizations, and national surveys. We calibrated the model comparing the predicted disease-specific mortality rates with local statistics. Results: Current graphic warnings already in place in each country could avert, during 10 years, 69 369 deaths and 638 295 disease events, adding 1.2 million years of healthy life and saving USD 5.3 billion in the seven countries. If these countries implemented plain packaging strategies, additional 155 857 premature deaths and 4 133 858 events could be averted, adding 4.1 million healthy years of life and saving USD 13.6 billion in direct health care expenses of diseases attributable to smoking. Conclusions: Latin American countries should not delay the implementation of this strategy that will alleviate part of the enormous health and financial burden that tobacco poses on their economies and health care systems. Implications: Tobacco smoking is the single most preventable and premature mortality cause in the world. The Framework Convention on Tobacco Control, supported by the World Health Organization, introduced a package of evidence-based measures for tobacco control. This study adds evidence on the potential health effects and savings of implementing cigarette plain packaging in countries representing almost 80% of the Latin American population; findings are valuable resources for policy makers in the region. ; Fil: Alcaraz, Andrea. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: Hernández Vásquez, Akram. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: Palacios, Alfredo. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: Rodríguez, Belén. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: Roberti, Javier Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: García Martí, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: Ciapponi, Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: Augustovski, Federico Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: Bardach, Ariel Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: Pichón-riviere, Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina