scholarly journals Connecting the dots on health inequalities – a systematic review on the social determinants of health in Portugal

Author(s):  
Inês Campos-Matos ◽  
Giuliano Russo ◽  
Julian Perelman
2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
◽  

Abstract While the political and social determinants of health have become accepted among academic researchers, health inequalities in the health policy and political arenas are still predominantly addressed as outcomes of citizens' lifestyle and behavioural choices. The rise of populist radical parties across Western countries brings renewed urgency to communicating with elected leaders and policy makers about the importance of tackling the social (as well as behavioral and medical) determinants of health. Recent publications such as 'Health in Hard Times. Austerity and Health Inequalities' (Clare Bambra, 2019) and 'Health Equity in England: The Marmot Review 10 Years On' (Marmot et al, 2020) find that financial and economic policies in large part contribute to stagnating and even reversing population health trends in the UK and across Western countries. The underlying political system of decision-making needs to be clarified in order to effectively engage and exert influence. This workshop aims to strengthen countervailing power and competence in understanding the policy trajectories that effectively target the larger ambitions of economic and social welfare including reduced health inequalities. We provide participants with basic knowledge, methods and tools to carry out practice-based comparative analysis of public health politics and policies across different countries. The workshop consists of: A 20-minute mini-lecture by Julia Lynch, who will present key findings and the underlying methodology of her recent book Regimes of inequality: The political economy of health and wealth. This book systematically used historical institutionalist-methods and process tracing to compare the policies and politics aimed at reducing health inequalities in Finland, France and the UK from the 1990s to the present.A 15-minute panel reflection: The panel, consisting of Clare Bambra, Karien Stronks, and Holly Jarman, will relate this to their own key research and impact.A 25-minute plenary discussion of examples, questions and contributions to tackling inequalities in political and social determinants of health. Examples are labour market participation policies, progressive fiscal policies or policies resolving illiteracy or household financial debt. Key messages Health inequalities are a political choice. Learning by comparison increases capacity to improve policies on the social determinants of health as well as capacity to increase political influence.


BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e048995
Author(s):  
Ava John-Baptiste ◽  
Marc S Moulin ◽  
Shehzad Ali

IntroductionInfectious disease models are important tools to inform public health policy decisions. These models are primarily based on an average population approach and often ignore the role of social determinants in predicting the course of a pandemic and the impact of policy interventions. Ignoring social determinants in models may cause or exacerbate inequalities. This limitation has not been previously explored in the context of the current pandemic, where COVID-19 has been found to disproportionately affect marginalised racial, ethnic and socioeconomic groups. Therefore, our primary goal is to identify the extent to which COVID-19 models incorporate the social determinants of health in predicting outcomes of the pandemic.Methods and analysisWe will search MEDLINE, EMBASE, Cochrane Library and Web of Science databases from December 2019 to August 2020. We will assess all infectious disease modelling studies for inclusion of social factors that meet the following criteria: (a) focused on human spread of SARS-CoV-2; (b) modelling studies; (c) interventional or non-interventional studies; and (d) focused on one of the following outcomes: COVID-19-related outcomes (eg, cases, deaths), non-COVID-19-related outcomes (ie, impacts of the pandemic or control policies on other health conditions or health services), or impact of the pandemic or control policies on economic outcomes. Data will only be extracted from models incorporating social factors. We will report the percentage of models that considered social factors, indicate which social factors were considered, and describe how social factors were incorporated into the conceptualisation and implementation of the infectious disease models. The extracted data will also be used to create a narrative synthesis of the results.Ethics and disseminationEthics approval is not required as only secondary data will be collected. The results of this systematic review will be disseminated through peer-reviewed publication and conference proceedings.PROSPERO registration numberCRD42020207706.


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