Hi Chuthaporn
To add to your post, according to Coreil (2010), because of the increasing popularity of the social, ecological perspective, health professionals have started to turn their attention to community-level factors that influence disease as well as bringing changes to population -level. Therefore, there is a possibility that one day situations like data maps comparing to income level will not affect health status. Mr. Taylor leaves in an area where he can run outside while he still feels safe and at peace; however, this is the opposite for Mr. Corey. This problem is not limited to Louisville Council Districts, but it is a national problem. Great
Health status improves at each step up the income and social hierarchy. High income determines living conditions such as safe housing and ability to buy sufficient good food. The healthiest populations are those in societies which are prosperous and have an equitable distribution of wealth.
Communities are sometimes largely unaware that social factors rather than medical ones, such as income, and employment status, shape our health. Our health is also determined by the health and social services we receive, and our ability to attain high education levels, food and safe housing, among other factors.
The geographic-level aspects involve a range of dimensions, ranging from physical characteristics of the area – such as location and climate (Bloom and Sachs 1998, APUD Wagstaff, 2001), to the infrastructure offered (Macintyre et. al., 2002) such as health services (quantity and quality), sanitation, water supply, roads, and so forth. One interesting hypothesis is that the presence of favorable aspects, like low crime rates, street cleanness and lightening, recreation places, among other “amenities” in the region under analysis mitigate the effects of unfavorable individual circumstances over health; whereas the adverse ones, such as pollution, lack of sanitation or low accessibility to urban facilities, amplify the already perverse influence of deprived individual characteristics on health status (Macintyre et. al., 2002; Kennedy et al., 1998). In California, for instance, Haan, Kaplan and Camacho (1987) found that people from poor areas experienced higher mortality rates (after controlling proper age, race and sex) than the population from non-poverty areas. Such risk of death persisted even after socioeconomic and behavioral adjustments. Similar findings have been reported by Humphries and Carr-Hill (1991); Jones and Duncan (1995) and Duncan et.al. (1993), supporting the hypothesis of the social environment´s influence over health, independently of the individual-level.
Potter and Perry (2017) states, “Health disparities are preventable differences in the burden of disease, injury, violence, or opportunities to achieve optimal health.” Health disparity is experienced by social disadvantaged populations. These vulnerable populations can include race or ethnicity, gender, education, income, disability, and geographic location (Potter & Perry, 2017, p. 33). The Banes family
The purpose of this paper is to provide insight on health disparities seen within DeKalb County. The residents of DeKalb County are diverse in race, ethnicity, and income. Since the county is so diverse there are many health disparities seen amongst its residents. Health disparities occur within a county when one group of a population has noticeably better or worse health than another group within the same population. These groups of people can differ by income, education, sex, race, location, and even sexual orientation. This Paper will discuss the health disparities that exist within DeKalb County, and explain why these disparities exist from a historical, political and social aspect. Furthermore, this paper will give background information on health outcomes from national, state, and local epidemiological perspective in order to support the claims that disparities actually exist within this county.
Having a low income can lead to poor to health, because you won’t have access or opportunities for better health, such as safe homes, nutritious foods and good schools. “Income may not be the strongest risk factor for any particular disease or outcome, but it’s a risk factor for all of them.” (Krisberg, 2017)
Healthy communities depend on the promotion of collaboration between health care providers, equitable utilization of health care resources and access to care for disease prevention. The Affordable Care Act (ACA) has increased access to insurance, but has not necessarily contributed to increased access to care (Lane et al., 2012). Limited access to health care and insurance, along with socioeconomic status, ethnicity, race, gender, sexual identity, and age contribute to health care disparities in the United States ("Disparities," 2014). The Appalachian Region has many factors that increase the risk of health disparities among this population, including poverty, unemployment, limited access to care,
According to the Centers for Disease Control (CDC), “health equity is achieved when every person has the opportunity to attain his or her full health potential and no one is disadvantaged from achieving this potential because of social position or other socially determined circumstances” (U.S. Department of Health and Human Services, 2015). Satcher (2010) reports that health inequities are “systematic, avoidable, and unjust” disparities (p. 6). He also states that the World Health Organization (WHO) concluded that social conditions are the most important determinant of a person’s health. Social conditions “determine access to health services and influence lifestyle choices” (Satcher, 2010, p. 6). These determinants must be addressed in order to reduce health inequity. Inequity can be
The surveillance wherein a specific constituent of the society receives an inferior quality of health care or health outcome in comparison with the less at risk segment is the underpinning of health disparities exploration. The meanings of health disparities are not at all times consistent and the carefully chosen comparison sets habitually do not echo a presumptive understanding. Therefore, what do we understand by the term health disparities? In brief, health disparities refers to those pragmatic statistically and clinically substantial variances in health outcomes or health care use amongst communally distinct vulnerable and less vulnerable populaces that are not elucidated by the effects of selection bias (Kilbourne, Switzer, et al., 2006). These perceived dissimilarities in health
“Failure to acknowledge, and more importantly, to understand the role of Social determinants of Health (SDH) in health and access to health and social services will hamper any effort to improve the health of the population.” (Ompad, Galea, Caiaffa, & Vlahov, 2007). Unemployment, unsafe work environments, globalization and the inability to access health systems are some social determinants of health. Social factors would be considered place of residence, race and ethnicity, gender, and socioeconomic status are also part of social determinants of health. According to “Social Determinants of the Health of Urban Populations: Methodologic Considerations’ Place of residence and an individual’s status within the place are important determinants of health in urban settings. It is important to recognize that the place of residence is
The difference in health outcomes and the determinants between parts of a population caused by social, demographic, environmental and geographic characteristics is defined as health disparities (Dore & Eisenhardt,2015). Societal, economic, and political forces impact social determinants. (Dore & Eisenhardt, 2015) have indicated that health inequities are avoidable and preventable when appropriate actions are taken to lower the risk of illness.
First, there is Jim Taylor, Hospital CEO, District 16; second, Tondra Young, Clinical Lab Supervisor, District 24; lastly, Corey Anderson, Floor Technician, District 21. The population of each district decreases in average income, education level and life expectancy than its preceding district, beginning with district 16, Jim Taylor’s district. District 16 has an average combined household income of approximately $120,000/ annually. In this district, 65% of the population has a college degree and the life expectancy in this district is 82 years. Whereas, Tondra Young’s district, district 24, has an average combined household income of $70,000/annually and 15% of the population has a college degree. The life expectancy of district 24 is 75 years, that’s 7 years less than district 16. In district 21, Corey Anderson’s district, the average combined household income is less than $50,000/ annually and only 5% of the districts population have college degrees. Consequently, the life expectancy of district 21 is 70 years, 5 years less than district 24 and 12 years less than district 16 (Adelman 2008). The results of this study are indisputable: there is an obvious correlation between social/economic status and health status. As each districts average income and education level decrease, average life expectancy coincides. This leads to the next question: why does social and economic status so greatly influence health status?
Improving the health of the socially and economically disadvantaged is a major task. Many Americans are living with poor health because of their socioeconomic statuses and it has many negative effects on their long term health. Improving access to health care is not enough to help fix the lower death rates among low income families. Our social status in our economy has large effect on our lives including how we are able to live our lives and in tern it has large measurable effects on our health. San Antonio is no exception, in low income areas the mortality rates by diabetes are stunning and need to be changed in order to help improve the lives of so many people. In my essay I will be proposing a plan to help lower
Health disparities are not based on income but on location. In Chicago, health disparities are a major problem because of segregation. While, on the Northside, someone is less likely to experience health disparities, it’s different on the South and West Sides. When someone looks at a map, they do not see how segregated a city is, but when someone is analyzing a certain neighborhood in Chicago, they will be able to see how segregated the city is. A study shows how neighborhoods in
For example a person living in a deprived council estate, with a very low income has been proven to be more at risk of developing health issues compared to someone from a higher social class as there is a strong correlation between poverty and ill health. This has been backed up by (WHO, 1946) that state that ‘poverty creates ill-health because it forces people to live in environments that make them sick.’