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INTRODUCTION: In the past, health inequalities were not prioritised in the political agenda of Barcelona. The change of city government (2015) was an opportunity to develop a Surveillance System for Social Health Inequalities in the city, which is described in this article. METHODS: The design of the Surveillance System formed part of the Joint Action for Health Equity in Europe (JAHEE), funded by the European Union. Various steps were considered by the experts to set up the System: define its objectives, target population, domains and indicators, and sources of information; perform data analysis; implement and disseminate the system; define the evaluation; and perform regular data updates. RESULTS: The System considers the following domains: social determinants of health, health-related with behaviours, use of healthcare, and health outcomes, and includes eight indicators. As axes of inequality, the experts chose sex, age, social class, country of origin, and geographical area. The Surveillance System for Social Health Inequalities is presented on a website including different types of figures. CONCLUSION: The methodology used to implement the Surveillance System can be used to implement similar systems in other urban areas around the world.
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Health Inequities , Social Class , Humans , Socioeconomic Factors , Cities , Europe , Health Status DisparitiesABSTRACT
OBJECTIVE: To analyse the trend in life expectancy (LE), healthy life expectancy (HLE) and socio-economic inequalities by neighbourhood in Barcelona from the pre-pandemic period (2018-2019) to the pandemic period (2020-2021). METHOD: LE and HLE at birth were computed using the municipal register of inhabitants and quality of life (EuroQol) from the Barcelona Health Survey of 2016. Inequalities were assessed with the gap between quantiles of neighbourhood income. RESULTS: In 2020, there was a reduction in LE among men (-1.98 years) and women (-2.44) and in HLE among men (-1.44). Socio-economic inequalities in LE and HLE between neighbourhoods widened since 2019 to 2021 (LE: from 3.92 to 4.86 years for men, and from 1.30 to 3.60 for women; HLE: from 6.88 to 7.70 years for men, and from 7.85 to 9.31 for women). CONCLUSIONS: The pandemic has substantially reduced LE and HLE, with larger effects among low-income neighbourhoods, especially among women.
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The disruption caused by the COVID-19 pandemic on health services around the world boosted interest over telehealth models of care. In Brazil, where abortion is heavily restricted, abortion seekers have long relied on international telehealth services to access abortion pills. We conducted a cross-sectional multilevel study to assess the effect of individual and contextual social factors on utilization of one such service. For the individual-level, we analyzed data from the records of abortion seekers contacting this feminist international telehealth organization during 2019 (n = 25,920). Individual-level variables were age, race, education level and pregnancy length. Contextual-level units were states, for which we used data from the national Demographic Census and Household Surveys. Contextual-level variables were household income per capita, adjusted net school attendance rate, percentage of racialized women and income Gini Index. We fitted five multilevel Poisson Mixed-effects models with robust variance to estimate prevalence ratios (PR) of service utilization, which was defined as receiving abortion pills through the service. We found that only 8.2% of requesters got abortion pills through the service. Utilization was higher among women who were older, white, more educated and 5-8-weeks pregnant. Independently of this, service utilization was higher in states with higher income and education access, with lower proportions of racialized women, and located in the South, Southeast and Central-West regions. We concluded that while feminist telehealth abortion initiatives provide a life-saving service for some abortion seekers, they are not fully equipped to overcome entrenched social inequalities in their utilization, both at individual and contextual levels.
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Objetivo: Analizar la evolución de la esperanza de vida (EV), la esperanza de vida en buena salud (EVBS) y las desigualdades socioeconómicas por barrio en Barcelona desde el periodo prepandémico (2018-2019) hasta el periodo de pandemia (2020-2021). Método: Se calcularon la EV y la EVBS al nacimiento utilizando el registro municipal de habitantes y la calidad de vida (EuroQol) de la Encuesta de Salud de Barcelona de 2016. Las desigualdades se valoraron mediante la brecha entre los cuantiles de ingreso por barrios. Resultados: En 2020 hubo una reducción en la EV en los hombres (−1,98 años) y las mujeres (−2,44), y en la EVBS en los hombres (−1,44). Las desigualdades socioeconómicas en EV y EVBS por barrios se ampliaron de 2019 a 2021 (EV: de 3,92 hasta 4,86 años en hombres y de 1,30 hasta 3,60 años en mujeres;EVBS: de 6,88 hasta 7,70 años en hombres y de 7,85 hasta 9,31 años en mujeres). Conclusiones: La pandemia ha reducido sustancialmente la EV y la EVBS, con mayores efectos entre los barrios de menor renta, en especial en las mujeres.