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2.
Environ Int ; 190: 108828, 2024 Jun 18.
Artigo em Inglês | MEDLINE | ID: mdl-38906089

RESUMO

BACKGROUND: The healthcare sector has an environmental impact of around 4.6% of global CO2 emissions, contributing to aggravating the climate crisis. However, the impact of the health sector's emissions on human health is not regularly assessed. We aim to estimate the health burden and associated costs of the health sector's carbon footprint within the European Union (EU). METHODS: We calculated disability-adjusted life years (DALYs) and associated costs based on human health damage factors (DALYs/kg-CO2e) by considering four scenarios. Three scenarios for shared socioeconomic pathways (S1 - high growth, S2 - baseline, and S3 - low growth) represented variations of global society, demographics, and economics until 2100. A fourth scenario (S4) considered the current EU's 55% reduction goal of greenhouse gas emissions. The healthcare sector's emissions per capita (in CO2-equivalent) in 2019 were extracted from the Lancet Countdown, and population data were retrieved from Eurostat for the same year. RESULTS: In the EU, 365,047 DALYs (95%CI: 194,692-535,403) are expected to be caused by the health sector's emissions at baseline (S2). In an S1 scenario, the burden would slightly decrease to 316,374 DALYs (95%CI: 170,355-462,393), whereas a S3 scenario would increase 486,730 DALYs (95%CI: 243,365-681,422). If EU's carbon goals are met, the burden could be substantially reduced to 164,271 DALYs (95%CI: 87,611-240,931). Costs can amount to 25.6 billion euros, when considering DALYs monetisation. CONCLUSION: CO2 emissions from the health sector are expected to significantly impact human health. Therefore, it is important to ensure that EU climate policies for public buildings are in line with the Paris Agreement, increase funding for climate mitigation programs within the healthcare sector, and review clinical practices at the local level.

3.
Lancet Public Health ; 9(3): e166-e177, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38429016

RESUMO

BACKGROUND: Health inequalities have been associated with shorter lifespans. We aimed to investigate subnational geographical inequalities in all-cause years of life lost (YLLs) and the association between YLLs and socioeconomic factors, such as household income, risk of poverty, and educational attainment, in countries within the European Economic Area (EEA) before the COVID-19 pandemic. METHODS: In this ecological study, we extracted demographic and socioeconomic data from Eurostat for 1390 small regions and 285 basic regions for 32 countries in the EEA, which was complemented by a time-trend analysis of subnational regions within the EEA. Age-standardised YLL rates per 100 000 population were estimated from 2009 to 2019 based on methods from the Global Burden of Disease study. Geographical inequalities were assessed using the Gini coefficient and slope index of inequality. Socioeconomic inequalities were assessed by investigating the association between socioeconomic factors (educational attainment, household income, and risk of poverty) and YLLs in 2019 using negative binomial mixed models. FINDINGS: Between Jan 1, 2009, and Dec 31, 2019, YLLs lowered in almost all subnational regions. The Gini coefficient of YLLs across all EEA regions was 14·2% (95% CI 13·6-14·8) for females and 17·0% (16·3 to 17·7) for males. Relative geographical inequalities in YLLs among women were highest in the UK (Gini coefficient 11·2% [95% CI 10·1-12·3]) and among men were highest in Belgium (10·8% [9·3-12·2]). The highest YLLs were observed in subnational regions with the lowest levels of educational attainment (incident rate ratio [IRR] 1·19 [1·13-1·26] for females; 1·22 [1·16-1·28] for males), household income (1·35 [95% CI 1·19-1·53]), and the highest poverty risk (1·25 [1·18-1·34]). INTERPRETATION: Differences in YLLs remain within, and between, EEA countries and are associated with socioeconomic factors. This evidence can assist stakeholders in addressing health inequities to improve overall disease burden within the EEA. FUNDING: Research Council of Norway; Development, and Innovation Fund of Hungary; Norwegian Institute of Public Medicine; and COST Action 18218 European Burden of Disease Network.


Assuntos
Expectativa de Vida , Pandemias , Masculino , Humanos , Feminino , Fatores Socioeconômicos , Europa (Continente)/epidemiologia , Pobreza
4.
Front Health Serv ; 3: 1190357, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-38116534

RESUMO

Objectives: The current European crisis in human resources in health has opened the debate about working conditions and fair wages. This is the case with Resident doctors, which have faced challenges throughout Europe. In Portugal, they account for about a third of the doctors in the Portuguese National Health Service. No studies to date objectively demonstrate the working conditions and responsibilities undertaken. This study aims to quantify the residents' workload and working conditions. Methods: Observational, retrospective cross-sectional study which involved a survey on the clinical and training activity of Portuguese residents, actively working in September 2020. The survey was distributed through e-mail to residents' representatives and directly to those affiliated with the Independent Union of Portuguese Doctors. The descriptive analysis assessed current workload, and logistic regression models analyzed associations with geographical location and residency seniority. Results: There were a total of 2,012 participants (19.6% of invited residents). Of the residents giving consultations, 85.3% do so with full autonomy. In the emergency department, 32.1% of the residents work 24 h shifts and 25.1% work shifts without a specialist doctor present. Regarding medical training, 40.8% invest over EUR 1,500 annually. Autonomy in consultations was associated with being a Family Medicine resident (OR 4.219, p < 0.001), being a senior resident (OR 5.143, p < 0.001), and working in the Center (OR 1.685, p = 0.009) and South regions (OR 2.172, p < 0.001). Seniority was also associated with investing over EUR 1,500 in training annually (OR 1.235, p = 0.021). Conclusion: Residents work far more than the contracted 40 h week, often on an unpaid basis. They present a high degree of autonomy in their practice, make a very significant personal and financial investment in medical training, with almost no time dedicated to studying during working hours. There is a need to provide better working conditions for health professionals, including residents, for the sake of the sustainability of health systems across Europe.

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