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. Equity refers to how resources are distributed, or, allocated among a given population. In addition, the term "equity" is an ethic and human rights principle. Heath inequities stem from a failure in this distribution and not providing each individual with the resources he or she needs. It is important to note that it is not equity to simply provide every individual with the same resources; that would be equality. In order to achieve health equity, resources must be allocated based on an individual need-based principle.
The definition of health does not only mean that an individual does not have a disease or illness. Instead, in order to define health, it is important to include both mental and physical well-being. 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. Human rights should be studied and observed together, rather than by separating each one as individuals. Thus, health must be discussed along with all other basic human rights.
Health gap in England and Wales, 2011 Census
Health equity synonymous with health disparity refers to the study and causes of differences in the quality of health and healthcare across different populations. Health equity is different from health equality, as it refers only to the absence of disparities in controllable or remediable aspects of health. It is not possible to work towards complete equality in health, as there are some factors of health that are beyond human influence. Inequity implies some kinds of social injustice. Thus, if one population dies younger than another because of genetic differences, a non-remediable/controllable factor, we tend to say that there is a health inequality. On the other hand, 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" between populations with a different race, ethnicity, sexual orientation or socioeconomic status. Although it is important to recognize the difference in health equity and equality, having equality in health is essential to begin achieving health equity.
Health equity falls into two major categories: horizontal equity, the equal treatment of individuals or groups in the same circumstances; and vertical equity, the principle that individuals who are unequal should be treated differently according to their level of need. Disparities in the quality of health across populations are well-documented globally in both developed and developing nations. The importance of equitable access to healthcare has been cited as crucial to achieving many of the Millennium Development Goals.
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. Maintenance of good health through the utilization of proper healthcare resources can be quite costly and therefore unaffordable to certain populations.
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. Some scholars have noted that unequal income distribution itself can be a cause of poorer health for a society as a result of "underinvestment in social goods, such as public education and health care; disruption of social cohesion and the erosion of social capital".
The role of socioeconomic status in health equity extends beyond simple monetary restrictions on an individual's purchasing power. In fact, social capital plays a significant role in the health of individuals and their communities. It has been shown that those who are better connected to the resources provided by the individuals and communities around them (those with more social capital) live longer lives. 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 studyshowed that community healthcare approaches fared far better than individual approaches in the prevention of heart disease mortality.
Unconditional cash transfers for reducing poverty used by some programs in the developing world appear to lead to a reduction in the likelihood of being sick. 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. 
Education is an important factor in healthcare utilization, though it is closely intertwined with economic status. An individual may not go to a medical professional or seek care if they don't know the ills of their failure to do so, or the value of proper treatment. In Tajikistan, since the nation gained its independence, the likelihood of giving birth at home has increased rapidly among women with lower educational status. Education also has a significant impact on the quality of prenatal and maternal healthcare. Mothers with primary education consulted a doctor during pregnancy at significantly lower rates (72%) when compared to those with a secondary education (77%), technical training (88%) or a higher education (100%). 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.
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.
Global concentrations of healthcare resources, as depicted by the number of physicians per 100,000 individuals, by country.
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 1 USD per day) further limits access to healthcare, and results in malnutrition and poor general hygiene, compounding the loss of healthcare resources. The loss of the CMS has had noticeable impacts on life expectancy, with rural regions such as areas of Western China experiencing significantly lower life expectancies.
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.
Along with the socioeconomic factor of health disparities, race is another key factor. The United States historically had large disparities in health and access to adequate healthcare between races, and current evidence supports the notion that these racially centered disparities continue to exist and are a significant social health issue. 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 blacks 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. Also African American women were 34% more likely to die from breast cancer than their white counterparts. Additionally, among African American and Latino infants, mortality rates are 2 to 3 times higher than other racial groups.
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. A 2010 study on racial and ethnic disparities in health done by the Institute of Medicine has shown that the aforementioned disparities cannot solely be accounted for in terms of certain demographic characteristics like: insurance status, household income, education, age, geographic location and quality of living conditions. Even when the researchers corrected for these factors, the disparities persist. 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 Pygmys 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.
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". This designation has prioritized research into the extent, cause, and potential mitigation of health disparities among SGM populations within the larger LGBT community.
While many aspects of LGBT health disparities are heretofore uninvestigated, at this stage, it is known that one of the main forms of healthcare discrimination LGBT individuals face is discrimination from healthcare workers or institutions themselves. A systematic literature review of publications in English and Portuguese from 2004–2014 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". Further, MSM who did not feel comfortable disclosing their sexual activity to healthcare workers failed to identify as homosexuals, which limited the quality of the treatment they received.
Additionally, members of the LGBT community contend with health care disparities due, in part, to lack of provider training and awareness of the population’s healthcare needs. Transgender individuals believe that there is a higher importance of providing gender identity (GI) information more than sexual orientation (SO) to providers to help inform them of better care and safe treatment for these patients. 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. As a component of this fact, medical schools do not focus much attention on LGBT health issues in their curriculum; the LGBT-related topics that are discussed tend to be limited to HIV/AIDS, sexual orientation, and gender identity.
Among LGBT-identifying individuals, transgender individuals face especially significant barriers to treatment. Many countries still do not have legal recognition of transgender or non-binary gender individuals leading to placement in mis-gendered hospital wards and medical discrimination. Seventeen European states mandate sterilization of individuals who seek recognition of a gender identity that diverges from their birth gender. In addition to many of the same barriers as the rest of the LGBT community, a WHO bulletin points out that globally, transgender individuals often also face a higher disease burden. 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. In Kuwait, there have been reports of transgender individuals being reported to legal authorities by medical professionals, preventing safe access to care. An updated version of the U.S. survey from 2015 showed little change in terms of healthcare experiences for transgender and gender variant individuals. The updated survey revealed that 23% of individuals reported not seeking necessary medical care out of fear of discrimination, and 33% of individuals who had been to a doctor within a year of taking the survey reported negative encounters with medical professionals related to their transgender status.
The stigmatization represented particularly in the transgender population creates a health disparity for LGBT individuals with regard to mental health. The LGBT community is at increased risk for psychosocial distress, mental health complications, suicidality, homelessness, and substance abuse, often complicated by access-based under-utilization or fear of health services. 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.
These mental health facts are informed by a history of anti-LGBT bias in health care. 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. This was amended in 2013 with the DSM-5 when "gender identity disorder" was replaced with "gender dysphoria", reflecting that simply identifying as transgender is not itself pathological and that the diagnosis is instead for the distress a transgender person may experience as a result of the discordance between assigned gender and gender identity.
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 unclear whether its prevalence in this community is a result of probability or some other preventable cause. For example, LGBT people report poorer cancer care experiences. It is incorrectly assumed that LGBT women have a lower incidence of cervical cancer than their heterosexual counterparts, resulting in lower rates of screening. Such findings illustrate the need for continued research focused on the circumstances and needs of LGBT individuals and the inclusion in policy frameworks of sexual orientation and gender identity as social determinants of health.
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."
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 it is important to note that differences between the two genders influence disease manifestation and associated healthcare approaches. Understanding how the interaction of sex and gender contributes to disparity in the context of health allows providers to ensure quality outcomes for patients. This interaction is complicated by the difficulty of distinguishing between sex and gender given their intertwined nature; sex modifies gender, and gender can modify sex, thereby impacting health. Sex and gender can both be considered sources of health disparity; both contribute to men and women’s susceptibility to various health conditions, including cardiovascular disease and autoimmune disorders.
Health disparities in the male population
As sex and gender are inextricably linked in day-to-day life, their union is apparent in medicine. Gender and sex are both components of health disparity in the male population. In non-Western regions, males tend to have a health advantage over women due to gender discrimination, evidenced by infanticide, early marriage, and domestic abuse for females. In most regions of the world, the mortality rate is higher for adult men than for adult women; for example, adult men suffer from fatal illnesses with more frequency than females. The leading causes of the higher male death rate are accidents, injuries, violence, and cardiovascular diseases. In a number of countries, males also face a heightened risk of mortality as a result of behavior and greater propensity for violence.
Physicians tend to offer invasive procedures to male patients more than female patients. 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. Lastly, men are more likely to have severe chronic conditions and a lower life expectancy than women in the United States.
Health disparities in the female population
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 are also more likely than men to suffer from sexual or intimate-partner violence both in the United States and worldwide. In Europe, women who grew up in poverty are more likely to have lower muscle strength and higher disability in old age.
Women have better access to healthcare in the United States than they do in many other places in the world. 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.
In addition, women's pain tends to be treated less seriously and initially ignored by clinicians when compared to their treatment of men's pain complaints. 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.
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. These food deserts affect a family’s ability to have easy access to nutritious food for their children. This lack of nutritious food extends beyond the household into the schools that have a variety of vending machines and deliver over processed foods. These environmental condition have social ramifications and in the first time in US history is it projected that the current generation will live shorter lives than their predecessors will.
In addition, minority neighborhoods have various health hazards that result from living close to highways and toxic waste factories or general dilapidated structures and streets. These environmental conditions create varying degrees of health risk from noise pollution, to carcinogenic toxic exposures from asbestos and radon that result in increase chronic disease, morbidity, and mortality. 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. Housing conditions can create varying degrees of health risk that lead to complications of birth and long-term consequences in the aging population. In addition, occupational hazards can add to the detrimental effects of poor housing conditions. It has been reported that a greater number of minorities work in jobs that have higher rates of exposure to toxic chemical, dust and fumes.
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, blacks 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. Racial and ethnic discrimination adds an additional element to the environment that individuals have to interact with daily. 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.
Individuals living in rural areas, especially poor rural areas, have access to fewer health care resources. Although 20 percent of the U.S. population lives in rural areas, only 9 percent of physicians practice in rural settings. Individuals in rural areas typically must travel longer distances for care, experience long waiting times at clinics, or are unable to obtain the necessary health care they need in a timely manner. Rural areas characterized by a largely Hispanic population average 5.3 physicians per 10,000 residents compared with 8.7 physicians per 10,000 residents in nonrural areas. Financial barriers to access, including lack of health insurance, are also common among the urban poor.
Disparities in access to health care
Reasons for disparities in access to health care are many, but can include the following:
Lack of universal health care or health insurance coverage. 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.
Lack of a regular source of care. Without access to a regular source of care, patients have greater difficulty obtaining care, fewer doctor visits, and more difficulty obtaining prescription drugs. Compared to whites, minority groups in the United States are less likely to have a doctor they go to on a regular basis and are more likely to use emergency rooms and clinics as their regular source of care. In the United Kingdom, which is much more racially harmonious, this issue arises for a different reason; since 2004, NHS GPs have not been responsible for care out of normal GP surgery opening hours, leading to significantly higher attendances in A+E
Lack of financial resources. Although the lack of financial resources is a barrier to health care access for many Americans, the impact on access appears to be greater for minority populations.
Legal barriers. Access to medical care by low-income immigrant minorities can be hindered by legal barriers to public insurance programs. For example, in the United States federal law bars states from providing Medicaid coverage to immigrants who have been in the country fewer than five years. Another example could be when a non-English speaking person attends a clinic where the receptionist does not speak the person's language. This is mostly seen in Hispanic people who do not speak English.
Structural barriers. These barriers include poor transportation, an inability to schedule appointments quickly or during convenient hours, and excessive time spent in the waiting room, all of which affect a person's ability and willingness to obtain needed care.
The health care financing system. The Institute of Medicine in the United States says fragmentation of the U.S. health care delivery and financing system is a barrier to accessing care. Racial and ethnic minorities are more likely to be enrolled in health insurance plans which place limits on covered services and offer a limited number of health care providers.
Scarcity of providers. In inner cities, rural areas, and communities with high concentrations of minority populations, access to medical care can be limited due to the scarcity of primary care practitioners, specialists, and diagnostic facilities. In the UK, Monitor (a quango) has a legal obligation to ensure that sufficient provision exists in all parts of the nation.
Linguistic barriers. Language differences restrict access to medical care for minorities in the United States who are not English-proficient.
Health literacy. This is where patients have problems obtaining, processing, and understanding basic health information. For example, patients with a poor understanding of good health may not know when it is necessary to seek care for certain symptoms. While problems with health literacy are not limited to minority groups, the problem can be more pronounced in these groups than in whites due to socioeconomic and educational factors. A study conducted in Mdantsane, South Africa depicts the correlation of maternal education and the antenatal visits for pregnancy. As patients have a greater education, they tend to use maternal health care services more than those with a lesser maternal education background.
Lack of diversity in the health care workforce. A major reason for disparities in access to care are the cultural differences between predominantly white health care providers and minority patients. Only 4% of physicians in the United States are African American, and Hispanics represent just 5%, even though these percentages are much less than their groups' proportion of the United States population.
Age. Age can also be a factor in health disparities for a number of reasons. As many older Americans exist on fixed incomes which may make paying for health care expenses difficult. Additionally, they may face other barriers such as impaired mobility or lack of transportation which make accessing health care services challenging for them physically. Also, they may not have the opportunity to access health information via the internet as less than 15% of Americans over the age of 65 have access to the internet. This could put older individuals at a disadvantage in terms of accessing valuable information about their health and how to protect it. On the other hand, older individuals in the US (65 or above) are provided with medical care via Medicare.
Disparities in quality of health care
Health disparities in the quality of care exist and are based on language and ethnicity/race which includes:
Problems with patient-provider communication
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. Communication has been linked to health outcomes, as communication improves so does patient satisfaction which leads to improved compliance and then to improved health outcomes. 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. Other type of communication problems are seen in LGBT health care with the spoken heterosexist (conscious or unconscious) attitude on LGBT patients, lack of understanding on issues like having no sex with men (lesbians, gynecologic examinations) and other issues.
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. Doctors are 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. Physicians are unaware of their implicit biases. 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.
Lack of preventive care
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).
Plans for achieving health equity
There are a multitude of strategies for achieving health equity and reducing disparities outlined in scholarly texts, some examples include:
Advocacy. Advocacy for health equity has been identified as a key means of promoting favourable policy change. EuroHealthNet carried out a systematic review of the academic and grey literature. It found, amongst other things, that certain kinds of evidence may be more persuasive in advocacy efforts, that practices associated with knowledge transfer and translation can increase the uptake of knowledge, that there are many different potential advocates and targets of advocacy and that advocacy efforts need to be tailored according to context and target. As a result of its work, it produced an online advocacy for health equity toolkit.
Provider based incentives to improve healthcare for ethnic populations. One source of health inequity stems from unequal treatment of non-white patients in comparison with white patients. Creating provider based incentives to create greater parity between treatment of white and non-white patients is one proposed solution to eliminate provider bias. These incentives typically are monetary because of its effectiveness in influencing physician behavior.
Using Evidence Based Medicine (EBM). Evidence Based Medicine (EBM) shows promise in reducing healthcare provider bias in turn promoting health equity. In theory EBM can reduce disparities however other research suggests that it might exacerbate them instead. Some cited shortcomings include EBM’s injection of clinical inflexibility in decision making and its origins as a purely cost driven measure.
Increasing awareness. The most cited measure to improving health equity relates to increasing public awareness. A lack of public awareness is a key reason why there has not been significant gains in reducing health disparities in ethnic and minority populations. Increased public awareness would lead to increased congressional awareness, greater availability of disparity data, and further research into the issue of health disparities.
The Gradient Evaluation Framework. The evidence base defining which policies and interventions are most effective in reducing health inequalities is extremely weak. It is important therefore that policies and interventions which seek to influence health inequity be more adequately evaluated. Gradient Evaluation Framework (GEF) is an action-oriented policy tool that can be applied to assess whether policies will contribute to greater health equity amongst children and their families.
The AIM framework. In a pilot study, researchers examined the role of AIM—ability, incentives, and management feedback—in reducing care disparity in pressure-ulcer detection between African American and Caucasian residents. The results showed that while the program was implemented, the provision of (1) training to enhance ability, (2) monetary incentives to enhance motivation, and (3) management feedback to enhance accountability led to successful reduction in pressure ulcers. Specifically, the detection gap between the two groups decreased. The researchers suggested additional replications with longer duration to assess the effectiveness of the AIM framework.
Monitoring actions on the social determinants of health. In 2017, citing the need for accountability for the pledges made by countries in the Rio Political Declaration on Social Determinants of Health, the World Health Organization and United Nations Children's Fund called for the monitoring of intersectoral interventions on the social determinants of health that improve health equity.
Changing the distribution of health services. Health services play a major role in health equity. Health inequities stem from lack of access to care due to poor economic status and an interaction among other social determinants of health. The majority of high quality health services are distributed among the wealthy people in society, leaving those who are poor with limited options. In order to change this fact and move towards achieving health equity, it is essential that health care increases in areas or neighborhoods consisting of low socioeconomic families and individuals.
Prioritize treatment among the poor. Because of the challenges that arise from accessing health care with low economic status, many illnesses and injuries go untreated or are not given sufficient treatment. Promoting treatment as a priority among the poor will give them the resources they need in order to achieve good health, because health is a basic human right.
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.
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, drug abuse, obesity, educational performance, teenage birthrates, and ill health due to violence. On an international level, there is a positive correlation between developed countries with high economic equality and longevity. This is unrelated to average income per capita in wealthy nations. Economic gain only impacts life expectancy to a great degree in countries in which the mean per capita annual income is less than approximately $25,000.
The United States shows exceptionally low health outcomes for a developed country, despite having the highest national healthcare expenditure in the world. The US ranks 31st in life expectancy. Americans have a lower life expectancy than their European counterparts, even when factors such as race, income, diet, smoking, and education are controlled for.
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. This is also true of the difference between mortality across all occupational classes in highly equal Sweden as compared to less-equal England.
^Goldberg, Daniel S. (2017), "Justice, Compound Disadvantage, and Health Inequities", Public Health Ethics and the Social Determinants of Health, SpringerBriefs in Public Health, Springer International Publishing, pp. 17–32, doi:10.1007/978-3-319-51347-8_3, ISBN978-3-319-51345-4
^Shi L; et al. (1999). "Income Inequality, Primary Care, and Health Indicators". The Journal of Family Practice. 48 (4): 275–284. PMID10229252.
^ abKawachi, I., & Kennedy, B. P. (1999). Income inequality and health: pathways and mechanisms. Health Services Research, 34(1 Pt 2), 215–227.
^Sun, X., Jackson, S., Carmichael, G. and Sleigh, A.C., 2009. Catastrophic medical payment and financial protection in rural China: evidence from the New Cooperative Medical Scheme in Shandong Province. Health economics, 18(1), pp.103-119.
^ abZhao Zhongwei (2006). "Income Inequality, Unequal Health Care Access, and Mortality in China". Population and Development Review. 32 (3): 461–483. doi:10.1111/j.1728-4457.2006.00133.x.
^ abSchellenberg J. A.; Victora C. G.; Mushi A.; de Savigny D.; Schellenberg D.; Mshinda H.; Bryce J. (2003). "Inequities among the very poor: health care for children in rural southern Tanzania". The Lancet. 361 (9357): 561–566. doi:10.1016/S0140-6736(03)12515-9. PMID12598141.
^ abWeinick R. M.; Zuvekas S. H.; Cohen J. W. (2000). "Racial and ethnic differences in access to and use of health care services, 1977 to 1996. Medical care research and review". MCRR. 57 (Suppl 1): 36–54.
^Nelson A (2002). "Unequal treatment: confronting racial and ethnic disparities in health care". Journal of the National Medical Association. 94: 8. PMID12152921.
^Gaskins, Darrell J. (Spring 2005). "Racial Disparities in Health and Wealth: The Effects of Slavery and past Discrimination". Review of Black Political Economy. 32 (America: History & Life, EBSCOhost): 95–110. doi:10.1007/s12114-005-1007-9.
^Bollini P.; Siem H. (1995). "No real progress towards equity: Health of migrants and ethnic minorities on the eve of the year 2000". Social Science & Medicine. 41 (6): 819–828. doi:10.1016/0277-9536(94)00386-8. PMID8571153.
^CD52/18: Addressing the causes of disparities in health service access and utilization for lesbian, gay, bisexual and trans (LGBT) persons. 2013. http://www.who.int/hiv/pub/populations/lgbt_paper/en/
^ abMeads, C.; Pennant, M.; McManus, J.; Bayliss, S. (2011). "A systematic review of lesbian, gay, bisexual and transgender health in the West Midlands Region of the UK compared to published UK research". Retrieved 5 February 2014.
^ abcKalra G.,Ventriglio A., Bhugra D. Sexuality and mental health: Issues and what next? (2015) International Review of Psychiatry Vol. 27 , Iss. 5.
^ abJaime M. Grant, Lisa A. Mottet, & Justin Tanis. (2010). National Transgender Discrimination Survey Report on health and health care. National Gay and Lesbian Task Force.
^ abJames, S. E., Herman, J. L., Rankin, S., Keisling, M., Mottet, L., & Anafi, M. (2016). The Report of the 2015 U.S. Transgender Survey. Washington, DC: National Center for Transgender Equality.[page needed]
^Office of Disease Prevention and Health Promotion. "Lesbian, Gay, Bisexual, and Transgender Health". HealthyPeople.gov. Retrieved September 16, 2017.
^ abUnderstanding the Health Needs of LGBT People. (March 2016) National LGBT Health Education Center. The Fenway Institute.
^Parekh, Ranna (February 2016). "What Is Gender Dysphoria?". American Psychiatric Association. Retrieved September 16, 2017.
^Mu, Ren; Zhang, Xiaobo (2011-01-01). "Why does the Great Chinese Famine affect the male and female survivors differently? Mortality selection versus son preference". Economics & Human Biology. 9 (1): 92–105. doi:10.1016/j.ehb.2010.07.003. PMID20732838.
^Behrman J. R. (1988). "Intrahousehold Allocation of Nutrients in Rural India: Are Boys Favored? Do Parents Exhibit Inequality Aversion?". Oxford Economic Papers. 40 (1): 32–54. doi:10.1093/oxfordjournals.oep.a041845.
^ abcdeWoolf, S. H.; Braveman, P. (5 October 2011). "Where Health Disparities Begin: The Role Of Social And Economic Determinants--And Why Current Policies May Make Matters Worse". Health Affairs. 30 (10): 1852–1859. doi:10.1377/hlthaff.2011.0685. PMID21976326.
^Andersen, RM (2007). Challenging the US Health Care System: Key Issues in Health Services Policy and Management. John Wiley & Sons. pp. 45–50.
^Hamers; McNulty (Nov 2002). "Professional Interpreters and Bilingual Physicians in a Pediatric Emergency Department". Archives of Pediatrics and Adolescent Medicine. 156 (11): 1108–1113. doi:10.1001/archpedi.156.11.1108. PMID12413338.
^Kleinman, A.; Eisenberg, L.; et al. (1978). "Culture, Illness and Care: Clinical Lessons for Anthropologic and Cross Culture Research". Annals of Internal Medicine. 88 (2): 251–258. doi:10.7326/0003-4819-88-2-251. PMID626456.
^Goldberg, J., Hayes, W., and Huntley, J. "Understanding Health Disparities." Health Policy Institute of Ohio (November 2004), page 14.
^Betancourt, J. R., & Maina, A. (2007). Barriers to Eliminating Disparities in Clinical Practice. In R. A. Williams (Ed.), Eliminating Healthcare Disparities in America (83-98). Totwa, NJ: Humana Press.
^Maxey, R. W., & Williams, R. A. (2007). Second Class Medicine: Implications of Evidence-Based Medicine for Improving Minority Access to the Correct Pharmaceutical Therapy. In R. A. Williams (Ed.), Eliminating Healthcare Disparities in America (99-120). Totwa, NJ: Humana Press.
Institute of Medicine Roundtable on Health Disparities was created to enable dialogue and discussion of issues related to the visibility of racial and ethnic disparities in health and health care as a national problem, the development of programs and strategies to reduce disparities and the emergence of new leadership.