I determinanti della salute: alla ricerca di un conceptual framework

2009 ◽  
pp. 31-42
Author(s):  
Gavino Maciocco

- This paper describes how the "conceptual frameworks" of Health Determinants evolved, up to the most recent one, proposed by the Who Commission on Social Determinants of Health. Of special interest is the importance given to Health Systems as potential determinants of health inequities when they fail to protect against social and economic consequences of disease. Key words: social determinants of health, health equity, health systems, lifestyles, social networks. Parole chiave: determinanti sociali di salute, equitÀ nella salute, sistemi sanitari, stili di vita, reti sociali.

2009 ◽  
Vol 14 (5) ◽  
pp. 1-13 ◽  
Author(s):  
Cecilia Benoit ◽  
Leah Shumka ◽  
Kate Vallance ◽  
Helga Hallgrímsdóttir ◽  
Rachel Phillips ◽  
...  

In the last few decades there has been a resurgence of interest in the social causes of health inequities among and between individuals and populations. This ‘social determinants’ perspective focuses on the myriad demographic and societal factors that shape health and well-being. Heeding calls for the mainstreaming of two very specific health determinants - sex and gender - we incorporate both into our analysis of the health gap experienced by girls and women in Canada. However, we take an intersectional approach in that we argue that a comprehensive picture of health inequities must, in addition to considering sex and gender, include a context sensitive analysis of all the major dimensions of social stratification. In the case of the current worldwide economic downturn, and the uniquely diverse Canadian population spread over a vast territory, this means thinking carefully about how socioeconomic status, race, ethnicity, immigrant status, employment status and geography uniquely shape the health of all Canadians, but especially girls and women. We argue that while a social determinants of health perspective is important in its own right, it needs to be understood against the backdrop of broader structural processes that shape Canadian health policy and practice. By doing so we can observe how the social safety net of all Canadians has been eroding, especially for those occupying vulnerable social locations.


Author(s):  
Pietro Renzi ◽  
Alberto Franci

Background Social determinants of health (SDOH) have increasingly entered health policy conversations as a growing body of researches, reveal the direct relationship between social determinants and health outcome. In fact, the recent literature is moving from the traditional model that focus on how health affects economic status, to a new view that economic status affects health. Objectives To investigate the principal conceptual frameworks for action on social determinants of health. Another aim is to contribute on the ongoing discourse on feasible measures which could be used to alert regions to inequalities in the distribution of health. Methodology, Italian data are used as a demonstration. Quadrant charts illustrate associations between how much regions spend on health and how effectively health system functions. The relevant inequality measures are used to rank health inequalities. Main results Frameworks have been presented to help communities, health professionals and others begin to better understand and address a variety of factors that affects health. Quadrant analysis technique shows the extent to which spending more on health, translates into better health outcomes, higher quality of care and improve access to care across the Italian regions, whilst also recognition the importance of major risk factors. Conclusions The social inequalities in health and what this means for how we understand and reduce them, as not to date been compressively examined empirically. There is an urgent need to expand our knowledge with comparable data on health determinants and more refined health outcomes. Furthermore, there is a need for feasible inequality measures in the health information systems. The measures used in this study, provide a step to inform and guide the uptake of equity-sensitive policies.


2019 ◽  
Author(s):  
Kelsey Berg ◽  
Chelsea Doktorchik ◽  
Hude Quan ◽  
Vineet Saini

Abstract Background: Electronic Health Records (EHRs) are key tools for integrating patient data into health information systems (IS). Advances in automated data collection methodology, particularly the collection of social determinants of health (SDOH), provide opportunities to advance health promotion and illness prevention through advanced analytics (i.e. “Big Data” techniques). We ask how current data collection processes in EHRs permit SDOH data to flow throughout health systems. Methods: Using a scoping review framework, we searched through medical literature to identify current practices in SDOH data collection within EHR systems. We extracted relevant information on data collection methodology, specifically focusing on uses of automated technology. We discuss our findings in the context of research methodology and potential for health equity. Results: Practitioners collect a variety of SDOH data at point of care through EHR, predominantly via embedded screening tools and clinical notes, and primarily capturing data on financial security, housing status, and social support. Health systems are increasingly using digital technology in data collection, including natural language processing algorithms. However overall use of automated technology is limited to date. End uses of data pertain to improving system efficiency, patient care-coordination, and addressing health disparities. Discussion & Conclusion: EHRs can realistically promote collection and meaningful use of SDOH data, although EHRs have not extensively been used to collect and manage this type of information. Future applied research on systems-level application of SDOH data is necessary, and should incorporate a range of stakeholders and interdisciplinary teams of researchers and practitioners in fields of health, computing, and social sciences.


Author(s):  
Holley A. Wilkin

When it comes to health and risk, “place” matters. People who live in lower-income neighborhoods are disproportionately affected by obesity and obesity-related diseases like heart disease, hypertension, and diabetes; asthma; cancers; mental health issues; etc., compared to those that live in higher-income communities. Contributing to these disparities are individual-level factors (e.g., education level, health literacy, healthcare access) and neighborhood-level factors such as the socioeconomic characteristics of the neighborhood; crime, violence, and social disorder; the built environment; and the presence or absence of health-enhancing and health-compromising resources. Social determinants of health—for example, social support, social networks, and social capital—may improve or further complicate health outcomes in low-income neighborhoods. Social support is a type of transaction between two or more people intended to help the recipient in some fashion. For instance, a person can help provide someone who is grieving or dealing with a newly diagnosed health issue by providing emotional support. Informational support may be provided to someone trying to diagnose, manage, and/or treat a health problem. Instrumental support may come in the help of making meals for someone who is ill, running errands for them, or taking them to a doctor’s appointment. Unfortunately, those who may have chronic diseases and require a lot of support or who otherwise do not feel able to provide support may not seek it due to the expectation of reciprocity. Neighborhood features can enable or constrain people from developing social networks that can help provide social support when needed. There are different types of social networks: some can enhance health outcomes, while others may have a more limiting or even a detrimental effect on health. Social capital results in the creation of resources that may or may not improve health outcomes. Communication infrastructure theory offers an opportunity to create theoretically grounded health interventions that consider the social and neighborhood characteristics that influence health outcomes. The theory states that every neighborhood has a communication infrastructure that consists of a neighborhood storytelling network—which includes elements similar to the social determinants of health—embedded in a communication action context that enables or constrains neighborhood storytelling. People who are more engaged in their neighborhood storytelling networks are in a better position to reduce health disparities—for example, to fight to keep clinics open or to clean up environmental waste. The communication action context features are similar to the neighborhood characteristics that influence health outcomes. Communication infrastructure theory may be useful in interventions to address neighborhood health and risk.


2019 ◽  
Vol 34 (s1) ◽  
pp. s95-s95
Author(s):  
Joseph Cuthbertson ◽  
Frank Archer ◽  
Jose Rodriguez-llanes ◽  
Andrew Robertson

Introduction:The rationale for undertaking this study was to investigate how characteristics of population health relate to and impact disaster risk, resilience, vulnerability, impact, and recovery. The multi-disciplinary environment that contextualizes disaster practice can influence determinants of health. Robust health determinants, or lack thereof, may influence the outcomes of disaster events affecting an individual or a community.Aim:To investigate how the social determinants of health inform community perceptions of disaster risk.Methods:Community perception of disaster risk in reference to the social determinants of health was assessed in this study. Individual interviews with participants from a community were conducted, all of whom were permanent community residents. Thematic analysis was conducted using narrative inquiry to gather firsthand insights on their perceptions of how characteristics of population health relate to and impact an individual’s disaster risk.Results:Analysis demonstrated commonality between interviewees in perceptions of the influence of the social determinants of health on individual disaster risk by determinant type. Interviewees sensed a strong correlation between low community connection and disaster risk vulnerability. Specific populations thought to have low community connection were perceived to be socially isolated, resulting in low knowledge or awareness of the surrounding disaster risks, or how to prepare and respond to disasters. In addition, they had reduced access to communication and support in time of need.Discussion:The importance of a strong social community connection was a feature of this research. Further research on how health determinants can enable disaster risk awareness and disaster risk communication is warranted.


2010 ◽  
Vol 18 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Michael Marmot ◽  
Ruth Bell

From the start, the WHO Commission on Social Determinants of Health built its case for taking action on the social determinants of health, unashamedly, on principles of social justice. Quite simply, the Commission stated that health inequities in the sense of avoidable and preventable differences in health between countries, and between groups within countries according to income, occupation, education, ethnicity or between men and women, are unjust. Taking this position has brought praise and blame: praise for the Commission’s boldness in putting fairness on the global health agenda1 in the face of the dominant global model of economic growth as an end in itself, and blame for the Commission’s unworldliness in apparently not recognising that economic arguments push the political agenda.


Author(s):  
Josie Wittmer ◽  
Kate Parizeau

We explore informal recyclers’ perceptions and experiences of the social determinants of health in Vancouver, Canada, and investigate the factors that contribute to the environmental health inequities they experience. Based on in-depth interviews with 40 informal recyclers and 7 key informants, we used a social determinants of health framework to detail the health threats that informal recyclers associated with their work and the factors that influenced their access to health-related resources and services. Our analysis reveals that the structural factors influencing environmental health inequities included insufficient government resources for low-income urbanites; the potential for stigma, clientization, and discrimination at some health and social service providers; and the legal marginalization of informal recycling and associated activities. We conclude that Vancouver's informal recyclers experience inequitable access to health-related resources and services, and they are knowledgeable observers of the factors that influence their own health and well-being.


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