A City Surveillance System for Social Health Inequalities: The Case of Barcelona.

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.

Tackling health inequalities in a public health organization: the case of the Barcelona Public Health Agency.

BACKGROUND: Municipalities are important actors in the implementation of policies to tackle health inequalities, which requires political will, the availability of financial support, and technical and human resources. With the aim of aligning with local government political priorities, in 2017 the Barcelona Public Health Agency (Agència de Salut Pública de Barcelona, henceforth ASPB), which is responsible for the public health functions of the city, launched a strategy to improve the approach to tackling health inequalities in all its services. The objectives of this study were to show how social health inequalities were addressed in the ASPB from 2017 to 19 and to describe which actions were proposed after a participatory process aiming to create a plan to systematically incorporate health inequalities in ASPB actions. METHODS: The ASPB has 304 workers, 8 directors and 20 services or departments. Participatory methodologies were carried out: 1) semi-structured interviews with department heads (N = 12, 60%); 2) world cafe workshops open to a group of workers (N = 63, 37%); 3) a Quick and Colorful voting session open to a group of workers (N = 108, 63%); and 4) Hanlon matrix with 19 actions to be prioritized (N = 12 services, 60%). RESULTS: Semi-structured interviews and world cafe workshops provided 40 potential actions. After a step by step process of participatory prioritization, seven lines of action emerged: 1) to make progress in collaborative networking; 2) to promote policy evaluation; 3) to increase the ability of the ASPB to evaluate policies to reduce health inequalities; 4) to incorporate the axes of inequalities in all ASPB products; 5) to improve information on vulnerable groups; 6) to incorporate the gender perspective; and 7) to participate in an internal training plan to address health inequalities. CONCLUSIONS: The participation of ASPB public health professionals and staff allowed the organization to design a shared plan of actions to address health inequalities. This experience could be useful for other municipalities whose political agendas include tackling inequalities in health.

Multi-level policy responses to tackle socioeconomic inequalities in the incidence of COVID-19 in a European urban area.

BACKGROUND: Spain has been hit hard by COVID-19 since March 2020, especially in its metropolitan areas. We share experiences from Barcelona in measuring socioeconomic inequalities in the incidence of COVID-19 in the different waves, and in implementing coordinated and equity-oriented public health policy responses. METHODS: We collected daily data on confirmed COVID-19 cases, geocoded the address of residence to assign each case to one of the 73 neighborhoods and 1068 census tracts, and calculated the cumulative incidence of COVID-19 by neighborhood and five income groups (quintiles of census tracts) by sex across four waves of the pandemic. We adjusted hierarchical Bayesian spatial models to obtain the relative risk (RR) of cumulative incidences in each quintile compared with the richest areas. A variety of public health policies implemented to tackle the pandemic and especially these inequalities in COVID-19 incidence and vaccination are selected and described. RESULTS: Area-level income inequalities in the incidence of COVID-19 were present at different degree in all four waves. In the second wave (10/1/2020 to 12/6/2020), RR for the poorest income quintile census tracts compared with the richest was 1.43 (95% credible interval-CI-: 1.22-1.67) for men and 1.58 (95% CI: 1.35-1.83) for women. Later, inequalities in vaccination coverage also arose. Equity-oriented policy responses included: "health hotels" or home delivery of basic products for individuals with COVID-19 and without adequate conditions for isolation; new emergency facilities for homeless people, including those with active drug use; mass screening in high incidence areas; contingency plans for nursing homes and schools; adapting community health programs for their early reactivation; digital self-appointment support points and community vaccination days. CONCLUSION: COVID-19 hit Barcelona neighborhoods unequally, with variations between waves. The rapid availability of geolocalized data and by socioeconomic level helped public authorities to implement targeted policies and collaborative interventions for the most vulnerable populations. Further studies would be needed to evaluate their impact.

Socioeconomic Inequalities in COVID-19 in a European Urban Area: Two Waves, Two Patterns.

Background: The objective of this paper is to analyze social inequalities in COVID-19 incidence, stratified by age, sex, geographical area, and income in Barcelona during the first two waves of the pandemic. Methods: We collected data on COVID-19 cases confirmed by laboratory tests during the first two waves of the pandemic (1 March to 15 July and 16 July to 30 November, 2020) in Barcelona. For each wave and sex, we calculated smooth cumulative incidence by census tract using a hierarchical Bayesian model. We analyzed income inequalities in the incidence of COVID-19, categorizing the census tracts into quintiles based on the income indicator. Results: During the two waves, women showed higher COVID-19 cumulative incidence under 64 years, while the trend was reversed after that threshold. The incidence of the disease was higher in some poor neighborhoods. The risk ratio (RR) increased in the poorest groups compared to the richest ones, mainly in the second wave, with RR being 1.67 (95% Credible Interval-CI-: 1.41-1.96) in the fifth quintile income group for men and 1.71 (95% CI: 1.44-1.99) for women. Conclusion: Our results indicate the existence of inequalities in the incidence of COVID-19 in an urban area of Southern Europe.