Excessive consumption of sugar has a well-established link with obesity. Preliminary results show that a tax levied on sugar-sweetened beverages (SSBs) by the Portuguese government in 2017 led to a drop in sales and reformulation of these products. This study models the impact the market changes triggered by the tax levied on SSBs had on obesity incidence across various age groups in Portugal. We performed a national market analysis and population-wide modelling study using market data for the years 2014–2018 from the Portuguese Association of Non-Alcoholic Drinks (GlobalData and Nielsen Consumer Panel), dietary data from a national survey (IAN-AF 2015–2016), and obesity incidence data from several cohort studies. Dietary energy density from SSBs was calculated by dividing the energy content (kcal/gram) of all SSBs by the total food consumption (in grams). We used the potential impact fraction (PIF) equation to model the projected impact of the tax-triggered change in sugar consumption on obesity incidence, through both volume reduction and reformulation. Results showed a reduction of 6.6 million litres of SSBs sold per year. Product reformulation led to a decrease in the average energy density of SSBs by 3.1 kcal/100 ml. This is estimated to have prevented around 40–78 cases of obesity per year between 2016 and 2018, with the biggest projected impact observed in adolescents 10 to <18 years old. The model shows that the implementation of this tax allowed for a 4 to 8 times larger projected impact against obesity than would be achieved though reformulation alone. The main limitation of this study is that the model we used includes data from various sources, which can result in biases—despite our efforts to mitigate them—related to the methodological differences between these sources. The tax triggered both a reduction in demand and product reformulation. These, together, can reduce obesity levels among frequent consumers of SSBs. Such taxation is an effective population-wide intervention. Reformulation alone, without the decrease in sales, would have had a far smaller effect on obesity incidence in the Portuguese population.

COVID-19 is a well-known respiratory disease that has spread worldwide since January 2020, causing many deaths and massive pressure on health systems. This pandemic’s appearance compromised health service sustainability and quality as many procedures were postponed or canceled, with an expected increase of adverse events like nosocomial infections, in-hospital deaths, and the worsening of the patient’s clinical status. For instance, the year 2020 featured an increase in undesirable results in Portugal: a rise of 10% in delayed first medical appointments, 0.02% in avoidable bloodstream infections, and more than 100 post-operative pulmonary embolisms and septicemia cases per 100,000 inpatients. Therefore, assessing whether the healthcare providers’ performance has changed is paramount. In this case, we evaluated public hospitals in Portugal. To this end, we developed a network data envelopment analysis model relating to efficiency and effectiveness. We observed consistent drops in efficiency when the pandemic started, followed by a recovery to levels above the pre-pandemic ones. Regarding effectiveness, we observed a positive trend during the evaluated period. We conclude that, apart from the great resilience of public healthcare providers, the Portuguese state was unprepared for a pandemic like COVID-19, but still the actions taken (including massive vaccination) were beneficial.

Several studies have identified Front-of-Pack Nutrition Labels (FoPLs) as a promising strategy to improve the nutritional quality of consumers’ food choices and encourage manufacturers to offer healthier products. This study aims to fill the evidence gap regarding the most effective FoPL among the Portuguese population. In total, 1059 Portuguese participants were recruited through a web panel provider and asked to declare their intended food choices and to rank three sets of products (pizza, cakes and breakfast cereals) according to their nutritional quality, first in the absence of any labelling, and then with a FoPL displayed on-pack (five FoPLs tested). Finally, participants were asked to answer nine statements related to perceptions of FoPLs. Results showed that participants improved their food choices, depending on the FoPL and the food category. All FoPLs led to a higher percentage of correct responses on the ranking task compared to the no label condition. The Nutri-Score was among the FoPLs producing the greatest improvement across all food categories compared to the reference intakes (OR = 6.45 [4.43–9.39], p-value < 0.0001) and facilitating the highest percentage to correctly rank products according to nutritional quality. This study suggests that, among the available options, Nutri-Score is the most efficient FoPL to inform Portuguese consumers of the nutritional quality of foods and help them identify healthier options in mock purchasing situations.

In several countries around the world, public hospitals are paid for by the health care services they provide to the population. Different funding systems are available, such as the Beveridge Model. Furthermore, payments can be either prospective, retrospective, or even a merging of both. Payments are usually nonoptimal in the Pareto sense and disregard the quality of delivered services as well as the environment (either internal or external) in which hospitals operate. This gap may introduce inefficiencies and inequities in the health care system, which currently faces scenarios of reduction/scarcity of resources. Furthermore, there are problems related to overpaying and misallocation of resources. Hence, payments should be optimized to guarantee an efficient allocation of resources to the health care systems. This study proposes a new best practice based tool, applying it to the Portuguese National Health Service. Considerable cost savings may emerge for inefficient hospitals if the model is successfully employed.