Денсаулық сапасы мен денсаулық сақтаудағы айырмашылықтар: себептері мен салдары

Study and causes of differences in the quality of health and healthcare

Health equity arises from access to the social determinants of health, specifically from wealth, power and prestige. Individuals who have consistently been deprived of these three determinants are significantly disadvantaged from health inequities, and face worse health outcomes than those who are able to access certain resources. The quality of health and how health is distributed among economic and social status in a society can provide insight into the level of development within that society. Health is a basic human right and human need, and all human rights are interconnected. Thus, health must be discussed along with all other basic human rights. It is closely associated with the social justice movement, with good health considered a fundamental human right. These inequities may include differences in the "presence of disease, health outcomes, or access to health care" between populations with a different race, ethnicity, gender, sexual orientation, disability, or socioeconomic status. Health inequity differs from health inequality in that the latter term is used in a number of countries to refer to those instances whereby the health of two demographic groups (not necessarily ethnic or racial groups) differs despite similar access to health care services. It can be further described as differences in health that are avoidable, unfair, and unjust, and cannot be explained by natural causes, such as biology, or differences in choice. Thus, if one population dies younger than another because of genetic differences, which is a non remediable/controllable factor, the situation would be classified as a health inequality. Conversely, if a population has a lower life expectancy due to lack of access to medications, the situation would be classified as a health inequity. These inequities may include differences in the "presence of disease, health outcomes, or access to health care". Although, it is important to recognize the difference in health equity and equality, as having equality in health is essential to begin achieving health equity.

Socioeconomic status is both a strong predictor of health, and a key factor underlying health inequities across populations. Poor socioeconomic status has the capacity to profoundly limit the capabilities of an individual or population, manifesting itself through deficiencies in both financial and social capital. It is clear how a lack of financial capital can compromise the capacity to maintain good health. In the UK, prior to the institution of the NHS reforms in the early 2000s, it was shown that income was an important determinant of access to healthcare resources. Because one's job or career is a primary conduit for both financial and social capital, work is an important, yet under represented, factor in health inequities research and prevention efforts. There are many ways that a job can affect one's health, such as the job's physical demands, exposure to hazards, mechanisms of employment, compensation and benefits, and availability of health and safety programs. In China, for instance, the collapse of the Cooperative Medical System left many of the rural poor uninsured and unable to access the resources necessary to maintain good health. Increases in the cost of medical treatment made healthcare increasingly unaffordable for these populations. This issue was further perpetuated by the rising income inequality in the Chinese population. Poor Chinese were often unable to undergo necessary hospitalization and failed to complete treatment regimens, resulting in poorer health outcomes. Similarly, in Tanzania, it was demonstrated that wealthier families were far more likely to bring their children to a healthcare provider: a significant step towards stronger healthcare. The segregation of communities on the basis of income occurs in nations worldwide and has a significant impact on quality of health as a result of a decrease in social capital for those trapped in poor neighborhoods. Social interventions, which seek to improve healthcare by enhancing the social resources of a community, are therefore an effective component of campaigns to improve a community's health. A 1998 epidemiological study showed that community healthcare approaches fared far better than individual approaches in the prevention of heart disease mortality.

Poor health outcomes appear to be an effect of economic inequality across a population. Nations and regions with greater economic inequality show poorer outcomes in life expectancy, mental health,

Relative inequality negatively affects health on an international, national, and institutional levels. The patterns seen internationally hold true between more and less economically equal states in the United States. The patterns seen internationally hold true between more and less economically equal states in the United States, that is, more equal states show more desirable health outcomes. Importantly, inequality can have a negative health impact on members of lower echelons of institutions. The Whitehall I and II studies looked at the rates of cardiovascular disease and other health risks in British civil servants and found that, even when lifestyle factors were controlled for, members of lower status in the institution showed increased mortality and morbidity on a sliding downward scale from their higher status counterparts. The negative aspects of inequality are spread across the population. For example, when comparing the United States (a more unequal nation) to England (a less unequal nation), the US shows higher rates of diabetes, hypertension, cancer, lung disease, and heart disease across all income levels. Such evidence can guide resource allocations to effective interventions. Research has shown that the quality of health care does indeed vary among different socioeconomic groups. Children in families of low socioeconomic status are the most susceptible to health inequities. Equity, Social Determinants and Public Health Programmes (2010) is a book edited by Blas and Sivasankara that includes a chapter discussing health equities among children. Gathering information from 100 international surveys, this chapter states that children in poor families under 5 years of age are likely to face health disparities because the quality of their health depends on others providing for them; young children are not capable of maintaining good health on their own. In addition, these children have higher mortality rates than those in richer families due to malnutrition. Because of their low socioeconomic status, receiving health care can be challenging. Children in poor families are less likely to receive health care in general, and if they do have access to care, it is likely that the quality of that care is not highly sufficient. There is also evidence for a correlation between socioeconomic status and health literacy; one study showed that wealthier Tanzanian families were more likely to recognize disease in their children than those that were coming from lower income backgrounds. Social inequities are a key barrier to accessing health related educational resources. Patients in lower socioeconomic areas will have less access to information about health in general, leading to less awareness of different diseases and health issues. Health education has proven to be a strong preventative measure that can be taken to decrease levels of illness and increase levels of visiting healthcare providers. The lack of health education can contribute to worsened health outcomes in these areas. Education inequities are also closely associated with health inequities. Individuals with lower levels of education are more likely to incur greater health risks such as substance abuse, obesity, and injuries both intentional and unintentional. Education is also associated with greater comprehension of health information and services necessary to make the right health decisions, as well as being associated with a longer lifespan. Individuals with high grades have been observed to display better levels of protective health behavior and lower levels of risky health behaviors than their less academically gifted counterparts. Factors such as poor diets, inadequate physical activity, physical and emotional abuse, and teenage pregnancy all have significant impacts on students' academic performance and these factors tend to manifest themselves more frequently in lower income individuals.

For some populations, access to healthcare and health resources is physically limited, resulting in health inequities. For instance, an individual might be physically incapable of traveling the distances required to reach healthcare services, or long distances can make seeking regular care unappealing despite the potential benefits. In 2019, the federal government identified nearly 80 percent of rural America as "medically underserved," lacking in skilled nursing facilities, as well as rehabilitation, psychiatric and intensive care units. In rural areas, there are approximately 68 primary care doctors per 100,000 people, whereas there are 84 doctors per 100,000 in urban centers. According to the National Rural Health Association, almost 10% of rural counties had no doctors in 2017. Rural communities face lower life expectancies and increased rates of diabetes, chronic disease, and obesity. Costa Rica, for example, has demonstrable health spatial inequities with 12–14% of the population living in areas where healthcare is inaccessible. Inequity has decreased in some areas of the nation as a result of the work of healthcare reform programs, however those regions not served by the programs have experienced a slight increase in inequity. China experienced a serious decrease in spatial health equity following the Chinese economic revolution in the 1980s as a result of the degradation of the Cooperative Medical System (CMS). The CMS provided an infrastructure for the delivery of healthcare to rural locations, as well as a framework to provide funding based upon communal contributions and government subsidies. In its absence, there was a significant decrease in the quantity of healthcare professionals (35.9%), as well as functioning clinics (from 71% to 55% of villages over 14 years) in rural areas, resulting in inequitable healthcare for rural populations. The significant poverty experienced by rural workers (some earning less than US$1 per day) further limits access to healthcare, and results in malnutrition and poor general hygiene, compounding the loss of healthcare resources. Similarly, populations in rural Tajikistan experience spatial health inequities. A study by Jane Falkingham noted that physical access to healthcare was one of the primary factors influencing quality of maternal healthcare. Further, many women in rural areas of the country did not have adequate access to healthcare resources, resulting in poor maternal and neonatal care. These rural women were, for instance, far more likely to give birth in their homes without medical oversight. The disparities in access to adequate healthcare include differences in the quality of care based on race and overall insurance coverage based on race. A 2002 study in the Journal of the American Medical Association identifies race as a significant determinant in the level of quality of care, with Black people receiving lower quality care than their white counterparts. This is in part because members of ethnic minorities such as African Americans are either earning low incomes, or living below the poverty line. In a 2007 Census Bureau, African American families made an average of $33,916, while their white counterparts made an average of $54,920. Due to a lack of affordable health care, the African American death rate reveals that African Americans have a higher rate of dying from treatable or preventable causes. According to a study conducted in 2005 by the Office of Minority Health—a U. S. Department of Health—African American men were 30% more likely than white men to die from heart disease. An analysis of more than 2 million pregnancies found that babies born to Black women worldwide had poorer outcomes (such as baby death and stillbirth) than White women. This was true even after controlling for older age and a lower level of education among mothers (an indicator of poorer economic and social status). In the same analysis, Hispanic women were 3 times more likely to experience a baby death than White women and South Asian women had an increased risk of premature birth and having a baby with low birthweight compared with White women. A 2023 scoping review of the literature found that in studies involving multiracial or multiethnic populations, the incorporation of race or ethnicity variables lacked thoughtful conceptualization and informative analysis concerning their role as indicators of exposure to racialized social disadvantage. Racialized social disadvantage encompasses systemic and structural barriers, discrimination, and social exclusion experienced by individuals and communities based on their race or ethnicity, resulting in disparities in access to resources, opportunities, and health outcomes. Such disparities also prevalently attack indigenous communities. As members of indigenous communities adjust to western lifestyles, they have become more susceptible to developing certain chronic illnesses. There are also considerable racial disparities in access to insurance coverage, with ethnic minorities generally having less insurance coverage than non ethnic minorities. For example, Hispanic Americans tend to have less insurance coverage than white Americans and as a result receive less regular medical care. The level of insurance coverage is directly correlated with access to healthcare including preventive and ambulatory care. Slavery has contributed to disparate health outcomes for generations of African Americans in the United States. Ethnic health inequities also appear in nations across the African continent. A survey of the child mortality of major ethnic groups across 11 African nations (Central African Republic, Côte d'Ivoire, Ghana, Kenya, Mali, Namibia, Niger, Rwanda, Senegal, Uganda, and Zambia) was published in 2000 by the WHO. The study described the presence of significant ethnic parities in the child mortality rates among children younger than 5 years old, as well as in education and vaccine use. In South Africa, the legacy of apartheid still manifests itself as a differential access to social services, including healthcare based upon race and social class, and the resultant health inequities. Further, evidence suggests systematic disregard of indigenous populations in a number of countries. The Pygmies of Congo, for instance, are excluded from government health programs, discriminated against during public health campaigns, and receive poorer overall healthcare. In a survey of five European countries (Sweden, Switzerland, the UK, Italy, and France), a 1995 survey noted that only Sweden provided access to translators for 100% of those who needed it, while the other countries lacked this service potentially compromising healthcare to non native populations. Given that non natives composed a considerable section of these nations (6%, 17%, 3%, 1%, and 6% respectively), this could have significant detrimental effects on the health equity of the nation. In France, an older study noted significant differences in access to healthcare between native French populations, and non French/migrant populations based upon health expenditure; however this was not fully independent of poorer economic and working conditions experienced by these populations. A 1996 study of race based health inequity in Australia revealed that Aborigines experienced higher rates of mortality than non Aborigine populations. Aborigine populations experienced 10 times greater mortality in the 30–40 age range; 2.5 times greater infant mortality rate, and 3 times greater age standardized mortality rate. Rates of diarrheal diseases and tuberculosis are also significantly greater in this population (16 and 15 times greater respectively), which is indicative of the poor healthcare of this ethnic group. At this point in time, the parities in life expectancy at birth between indigenous and non indigenous peoples were highest in Australia, when compared to the US, Canada and New Zealand. In South America, indigenous populations faced similarly poor health outcomes with maternal and infant mortality rates that were significantly higher (up to 3 to 4 times greater) than the national average. The same pattern of poor indigenous healthcare continues in India, where indigenous groups were shown to experience greater mortality at most stages of life, even when corrected for environmental effects. Due to systemic health and social inequities people from racial and ethnic minority groups in the United States are disproportionately affected by COVID 19. On February 5, 2021, the head of the World Health Organization (WHO), Tedros Adhanom Ghebreyesus, noted regarding the global inequity in the access to COVID 19 vaccines, that almost 130 countries had not yet given a single dose. In early April 2021, the WHO reported that 87% of existing vaccines had been distributed to the wealthiest countries, while only 0.2% had been distributed to the poorest countries. As a result, one quarter of the populations of those wealthy countries had already been vaccinated, while only 1 in 500 residents of the poor countries had been vaccinated.

Both gender and sex are significant factors that influence health. Sex is characterized by female and male biological differences in regards to gene expression, hormonal concentration, and anatomical characteristics. Gender is an expression of behavior and lifestyle choices. Both sex and gender inform each other, and differences between genders influence disease manifestation and associated healthcare approaches. In most regions of the world, the mortality rate is higher for adult men than for adult women; for example, adult men develop fatal illnesses with more frequency than females. The leading causes of the higher male death rate are accidents, injuries, violence, and cardiovascular diseases. In most regions of the world, violence and traffic related injuries account for the majority of mortality of adolescent males. Furthermore, men are more likely to smoke than women and experience smoking related health complications later in life as a result; this trend is also observed in regard to other substances, such as marijuana, in Jamaica, where the rate of use is 2–3 times more for men than women.

Gender and sex are also components of health disparity in the female population. The 2012 World Development Report (WDR) noted that women in developing nations experience greater mortality rates than men in developing nations. Additionally, women in developing countries have a much higher risk of maternal death than those in developed countries. The highest risk of dying during childbirth is 1 in 6 in Afghanistan and Sierra Leone, compared to nearly 1 in 30,000 in Sweden—a disparity that is much greater than that for neonatal or child mortality. While women in the United States tend to live longer than men, they generally are of lower socioeconomic status (SES) and therefore have more barriers to accessing healthcare. Being of lower SES also tends to increase societal pressures, which can lead to higher rates of depression and chronic stress and, in turn, negatively impact health. Women have better access to healthcare in the United States than they do in many other places in the world, yet having sufficient health insurance to afford the care, such as related to postpartum treatment and care, may help to avoid additional preventable hospital readmission and emergency department visits. In one population study conducted in Harlem, New York, 86% of women reported having privatized or publicly assisted health insurance, while only 74% of men reported having any health insurance. This trend is representative of the general population of the United States. On the other hand, a woman's access to healthcare in rural communities has recently become a matter of concern. Access to maternal obstetric care has decreased in rural communities due to the increase in both hospital closers and labor & delivery center closures that have placed an increased burden on families living in these areas. Burdens faced by women in these rural communities include financial burdens on traveling to receive adequate care. Historically, women have not been included in the design or practice of clinical trials, which has slowed the understanding of women's reactions to medications and created a research gap. This has led to post approval adverse events among women, resulting in several drugs being pulled from the market. However, the clinical research industry is aware of the problem, and has made progress in correcting it.

Health disparities are also due in part to cultural factors that involve practices based not only on sex, but also gender status. For example, in China, health disparities have distinguished medical treatment for men and women due to the cultural phenomenon of preference for male children. Recently, gender based disparities have decreased as females have begun to receive higher quality care. Additionally, a girl's chances of survival are impacted by the presence of a male sibling; while girls do have the same chance of survival as boys if they are the oldest girl, they have a higher probability of being aborted or dying young if they have an older sister. In India, gender based health inequities are apparent in early childhood. Many families provide better nutrition for boys in the interest of maximizing future productivity given that boys are generally seen as breadwinners. In addition, boys receive better care than girls and are hospitalized at a greater rate. The magnitude of these disparities increases with the severity of poverty in a given population. Additionally, the cultural practice of female genital mutilation (FGM) is known to impact women's health, though is difficult to know the worldwide extent of this practice. While generally thought of as a Sub Saharan African practice, it may have roots in the Middle East as well. The estimated 3 million girls who are subjected to FGM each year potentially suffer both immediate and lifelong negative effects. Immediately following FGM, girls commonly experience excessive bleeding and urine retention. Long term consequences include urinary tract infections, bacterial vaginosis, pain during intercourse, and difficulties in childbirth that include prolonged labor, vaginal tears, and excessive bleeding. Women who have undergone FGM also have higher rates of post traumatic stress disorder (PTSD) and herpes simplex virus 2 (HSV2) than women who have not.

Sexuality is a basis of health discrimination and inequity throughout the world. Homosexual, bisexual, transgender, and gender variant populations around the world experience a range of health problems related to their sexuality and gender identity, some of which are complicated further by limited research. In spite of recent advances, LGBT populations in China, India, and Chile continue to face significant discrimination and barriers to care. The World Health Organization (WHO) recognizes that there is inadequate research data about the effects of LGBT discrimination on morbidity and mortality rates in the patient population. In addition, retrospective epidemiological studies on LGBT populations are difficult to conduct as a result of the practice that sexual orientation is not noted on death certificates. WHO has proposed that more research about the LGBT patient population is needed for improved understanding of its  unique health needs and barriers to accessing care. Recognizing the need for LGBT healthcare research, the Director of the National Institute on Minority Health and Health Disparities (NIMHD) at the U. S. Department of Health and Human Services designated sexual and gender minorities (SGMs) as a health disparity population for NIH research in October 2016. For the purposes of this designation, the Director defines SGM as "encompass[ing] lesbian, gay, bisexual, and transgender populations, as well as those whose sexual orientation, gender identity and expressions, or reproductive development varies from traditional, societal, cultural, or physiological norms". A systematic literature review of publications in English and Portuguese from 2004 to 2014 demonstrate significant difficulties in accessing care secondary to discrimination and homophobia from healthcare professionals. This discrimination can take the form of verbal abuse, disrespectful conduct, refusal of care, the withholding of health information,  inadequate treatment, and outright violence. In a study analyzing the quality of healthcare for South African men who have sex with men (MSM), researchers interviewed a cohort of individuals about their health experiences, finding that MSM who identified as homosexual felt their access to healthcare was limited due to an inability to find clinics employing healthcare workers who did not discriminate against their sexuality. They also reportedly faced "homophobic verbal harassment from healthcare workers when presenting for STI treatment". Studies regarding patient provider communication in the LGBT patient community show that providers themselves report a significant lack of awareness regarding the health issues LGBT identifying patients face. Seventeen European states mandate sterilization of individuals who seek recognition of a gender identity that diverges from their birth gender. A 2010 survey of transgender and gender variant people in the United States revealed that transgender individuals faced a significant level of discrimination. The survey indicated that 19% of individuals experienced a healthcare worker refusing care because of their gender, 28% faced harassment from a healthcare worker, 2% encountered violence, and 50% saw a doctor who was not able or qualified to provide transgender sensitive care. The stigmatization represented particularly in the transgender population  creates a health disparity for LGBT individuals with regard to mental health. Transgender and gender variant individuals have been found to experience higher rates of mental health disparity than LGB individuals. According to the 2015 U. S. Transgender Survey, for example, 39% of respondents reported serious psychological distress, compared to 5% of the general population. The Diagnostic and Statistical Manual of Mental Disorders (DSM) listed homosexuality as a disorder until 1973; transgender status was listed as a disorder until 2012. LGBT health issues have received disproportionately low levels of medical research, leading to difficulties in assessing appropriate strategies for LGBT treatment. For instance, a review of medical literature regarding LGBT patients revealed that there are significant gaps in the medical understanding of cervical cancer in lesbian and bisexual individuals It is incorrectly assumed that LGBT women have a lower incidence of cervical cancer than their heterosexual counterparts, resulting in lower rates of screening. A June 2017 review sponsored by the European commission as part of a larger project to identify and diminish health inequities, found that LGB are at higher risk of some cancers and that LGBTI were at higher risk of mental illness, and that these risks were not adequately addressed. The causes of health inequities were, according to the review, "i) cultural and social norms that preference and prioritise heterosexuality; ii) minority stress associated with sexual orientation, gender identity and sex characteristics; iii) victimisation; iv) discrimination (individual and institutional), and; v) stigma."

Minority populations have increased exposure to environmental hazards that include lack of neighborhood resources, structural and community factors as well as residential segregation that result in a cycle of disease and stress. The environment that surrounds us can influence individual behaviors and lead to poor health choices and therefore outcomes. Minority neighborhoods have been continuously noted to have more fast food chains and fewer grocery stores than predominantly white neighborhoods. The quality of residential environment such as damaged housing has been shown to increase the risk of adverse birth outcomes, which is reflective of a communities health. This occurs through exposure to lead in paint and lead contaminated soil as well as indoor air pollutants such as second hand smoke and fine particulate matter. Housing conditions can create varying degrees of health risk that lead to complications of birth and long term consequences in the aging population. One example of this is the environmental hazards that poor Latino farmworkers face in the United States. This group is exposed to high levels of particulate matter and pesticides on the job, which have contributed to increased cancer rates, lung conditions, and birth defects in their communities. Racial segregation is another environmental factor that occurs through the discriminatory action of those organizations and working individuals within the real estate industry, whether in the housing markets or rentals. Even though residential segregation is noted in all minority groups, Black people tend to be segregated regardless of income level when compared to Latinos and Asians. Thus, segregation results in minorities clustering in poor neighborhoods that have limited employment, medical care, and educational resources, which is associated with high rates of criminal behavior. In addition, segregation affects the health of individual residents because the environment is not conducive to physical exercise due to unsafe neighborhoods that lack recreational facilities and have nonexistent park space. Individuals that reported discrimination have been shown to have an increase risk of hypertension in addition to other physiological stress related affects. The high magnitude of environmental, structural, socioeconomic stressors leads to further compromise on the psychological and physical being, which leads to poor health and disease.

A major part of the United States' healthcare system is health insurance. The main types of health insurance in the United States includes taxpayer funded health insurance and private health insurance. Funded through state and federal taxes, some common examples of taxpayer funded health insurance include Medicaid, Medicare, and CHIP. According to a United Health survey, only 9% of Americans surveyed understood these health insurance terms. Between 2014 and 2020, over 11.4 million people have been able to sign up for health insurance through the Marketplaces. However, most Marketplaces focus more on the presentation of health insurances and their coverages, rather than including detailed explanations of the health insurance terms. Lack of universal health care or health insurance coverage. According to the Congressional Budget Office (CBO), 28.9 million people in the United States were uninsured in 2018, and that number would rise to an estimated 35 million people by 2029. Without health insurance, patients are more likely to postpone medical care, go without needed medical care, go without prescription medicines, and be denied access to care. Minority groups in the United States lack insurance coverage at higher rates than whites. This problem does not exist in countries with fully funded public health systems, such as the examplar of the NHS. Underinsured or inefficient health insurance coverage. While there are many causes of underinsurance, a common a reason is due to low premiums, the up front yearly or monthly amount individuals pay for their insurance policy, and high deductibles, the amount paid out of pocket by the policy holder before an insurance provider will pay any expenses. Under the ACA, individuals were subject to a fee called the Shared Responsibility Payment, which occurred as a result of not buying health insurance despite being able to afford it. While this mandate was aimed at increasing health insurance rates for Americans, it also led many individuals to sign up for relatively inexpensive health insurance plans that did not provide adequate health coverage in order to avoid the repercussions of the mandate.

Communication is critical for the delivery of appropriate and effective treatment and care, regardless of a patient's race, and miscommunication can lead to incorrect diagnosis, improper use of medications, and failure to receive follow up care. The patient provider relationship is dependent on the ability of both individuals to effectively communicate. Language and culture both play a significant role in communication during a medical visit. Among the patient population, minorities face greater difficulty in communicating with their physicians. Patients when surveyed responded that 19% of the time they have problems communicating with their providers which included understanding doctor, feeling doctor listened, and had questions but did not ask. In contrast, the Hispanic population had the largest problem communicating with their provider, 33% of the time. Quality of care is impacted as a result of an inability to communicate with health care providers. Language plays a pivotal role in communication and efforts need to be taken to ensure excellent communication between patient and provider. Among limited English proficient patients in the United States, the linguistic barrier is even greater. Less than half of non English speakers who say they need an interpreter during clinical visits report having one. The absence of interpreters during a clinical visit adds to the communication barrier. Furthermore, inability of providers to communicate with limited English proficient patients leads to more diagnostic procedures, more invasive procedures, and over prescribing of medications. Language barriers have not only hindered appointment scheduling, prescription filling, and clear communications, but have also been associated with health declines, which can be attributed to reduced compliance and delays in seeking care, which could affect particularly refugee health in the United States. Many health related settings provide interpreter services for their limited English proficient patients. This has been helpful when providers do not speak the same language as the patient. However, there is mounting evidence that patients need to communicate with a language concordant physician (not simply an interpreter) to receive the best medical care, bond with the physician, and be satisfied with the care experience. Having patient physician language discordant pairs (i. e. Spanish speaking patient with an English speaking physician) may also lead to greater medical expenditures and thus higher costs to the organization. Additional communication problems result from a decrease or lack of cultural competence by providers. It is important for providers to be cognizant of patients' health beliefs and practices without being judgmental or reacting. Understanding a patients' view of health and disease is important for diagnosis and treatment. So providers need to assess patients' health beliefs and practices to improve quality of care. Patient health decisions can be influenced by religious beliefs, mistrust of Western medicine, and familial and hierarchical roles, all of which a white provider may not be familiar with.

Provider discrimination occurs when health care providers either unconsciously or consciously treat certain racial and ethnic patients differently from other patients. This may be due to stereotypes that providers may have towards ethnic/racial groups. A March, 2000 study from Social Science & Medicine suggests that doctors may be more likely to ascribe negative racial stereotypes to their minority patients. This may occur regardless of consideration for education, income, and personality characteristics. Two types of stereotypes may be involved, automatic stereotypes or goal modified stereotypes. Automated stereotyping is when stereotypes are automatically activated and influence judgments/behaviors outside of consciousness. Goal modified stereotype is a more conscious process, done when specific needs of clinician arise (time constraints, filling in gaps in information needed) to make a complex decisions. Some research suggests that ethnic minorities are less likely than whites to receive a kidney transplant once on dialysis or to receive pain medication for bone fractures. Critics question this research and say further studies are needed to determine how doctors and patients make their treatment decisions. Others argue that certain diseases cluster by ethnicity and that clinical decision making does not always reflect these differences.

According to the 2009 National Healthcare Disparities Report, uninsured Americans are less likely to receive preventive services in health care. For example, minorities are not regularly screened for colon cancer and the death rate for colon cancer has increased among African Americans and Hispanic populations. Furthermore, limited English proficient patients are also less likely to receive preventive health services such as mammograms. Studies have shown that use of professional interpreters have significantly reduced disparities in the rates of fecal occult testing, flu immunizations and pap smears. In the UK, Public Health England, a universal service free at the point of use, which forms part of the NHS, offers regular screening to any member of the population considered to be in an at risk group (such as individuals over 45) for major disease (such as colon cancer, or diabetic retinopathy).

In 2023, the G20 under its Affordable Healthcare Model Hospital initiative, with the Government of Andhra Pradesh, India, opened a 100 bed facility in Srikakulam, drawing support from the Aarogyasri scheme.

Health inequality is the term used in a number of countries to refer to those instances whereby the health of two demographic groups (not necessarily ethnic or racial groups) differs despite comparative access to health care services. Such examples include higher rates of morbidity and mortality for those in lower occupational classes than those in higher occupational classes, and the increased likelihood of those from ethnic minorities being diagnosed with a mental health disorder. In Canada, the issue was brought to public attention by the LaLonde report. In UK, the Black Report was produced in 1980 to highlight inequalities. On 11 February 2010, Sir Michael Marmot, an epidemiologist at University College London, published the Fair Society, Healthy Lives report on the relationship between health and poverty. Marmot described his findings as illustrating a "social gradient in health": the life expectancy for the poorest is seven years shorter than for the most wealthy, and the poor are more likely to have a disability. In its report on this study, The Economist argued that the material causes of this contextual health inequality include unhealthful lifestyles – smoking remains more common, and obesity is increasing fastest, amongst the poor in Britain. In June 2018, the European Commission launched the Joint Action Health Equity in Europe. Forty nine participants from 25 European Union Member States will work together to address health inequalities and the underlying social determinants of health across Europe. Under the coordination of the Italian Institute of Public Health, the Joint Action aims to achieve greater equity in health in Europe across all social groups while reducing the inter country heterogeneity in tackling health inequalities.

Research to identify health inequities, how they arise and what can be done to address them is essential to securing health equity. However, the same exclusionary social structures that contribute to health inequities in society also influence and are reproduced by researchers and public health institutions. In other words, medicine and public health organizations have evolved to better meet the needs of some groups more than others. While there are many examples of bias in medical and public health research, some general categories of exclusionary research practices include: 1) Structural invisibility – approaches to collection, analysis or publication of data which hide the potential contribution of social factors to the distribution of health risks or outcomes. For example, limitations in public health surveys in the United States to collect data on race, ethnicity, and nativity; (2) Institutionalized exclusion – codification of exclusionary social structures in research practices, instruments, and scientific models resulting in an inherent bias in favor of the normative group. For example, the definition of a human as an 80 kg man in toxicology; (3) Unexamined assumptions – cultural norms and unconscious bias that can impact all aspects of research. In other words, assuming that the researchers' perspective and understanding is objective and universally shared. For example, the lack of conceptual equivalence across multi lingual survey instruments.

Genomics applications continue to increase in clinical/medical applications. Historically, results from studies do not include underrepresented communities and races. The question of who benefits from publicly funded genomics is an important public health consideration, and attention will be needed to ensure that implementation of genomic medicine does not further entrench social‐equity concerns. Currently the National Human Genome Research Institute counts with a Genomics and Health Disparities Interest Group to tackle the issues of accessibility and application of genomic medicine to communities not normally represented. The Director of the Health Disparities Group, Vence L. Bonham Jr., leads a team that seeks to qualify and better understand the disparities and reduce the gap in access to genetic counseling, inclusion of minority communities in original research, and access to genetic information to improve health. There is some movement toward progress, though. Sickle cell disease, which disproportionately impacts Black people where every 1 of 365 births has the condition, is treatable with gene therapy. In December 2023, the United States' Food and Drug Administration (FDA) approved two gene therapy treatments that use gene editing machinery known as CRISPR/Cas9 to alleviate the sickling of the red blood cells. This will greatly improve the livelihoods of millions, but especially people of color who are much more at risk for this condition.