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Mind Map 8 - Coggle Diagram
Mind Map 8
Asian Americans are aggregated into a single subgroup. However, the health surveys and the information gathered from these surveys do not apply to all Asian Americans.
For example, NHIS reported that Asian Americans have decreased risk of coronary heart disease. However, Asian Indians actually have increased prevalence while Chinese populations have decreased prevalence when compared with the white population
Inadequate distinction and improper subgrouping of various Asian Americans result in inappropriate statistics that do not apply to a significant % of those who are Asian American.
Cancer research intiially applied to 1 subgroup does not apply to other subgroups. Prevalence and mortality rates from liver cancer affect Vietnamese, Koreans, and Chinese greater than other Asian subgroups. The data for preventative and screening efforts do not apply to the entire AA subgroup.
Fixing this entails proper and thorough data aggregation without extrapolation. Examples can include targeting regions where there are denser subgroup populations. This can result in representative and reliable data.
Another method for fixing and providing adequate health data collection include community participatory based research efforts.
One specific tool currently being utilized is the EHR. This gives the opportunity to gather data of various subgroups. Large health care organizations can also do similarly.
Biggest key to correcting this disparity is acknowledgement of the heterogeneity in the Asian American population when interpreting any data/findings.
Omission in health studies of Asian Americans is one of the worst problems in epidemiologic studies. Although data standards have improved many national surveys still omit Asian American health data in the majority of their publications and reports. Data from these studies are used by policy makers to set disparity agendas. These surveys also omit people who know limited English or may have a lower socioeconomic status.
Asian Americans also often are omitted from clinical trials. Recruitment can be difficult due to mistrust of researchers, past experimentation, language and culture barriers, and lack of information.
In the past several years drug trials have shown that some subgroups of Asian Americans respond to drugs differently. Including anticoagulants and chemotherapy. This is important information to understand when treating a patient who is Asian American
The quickest-growing ethnic group in the US is Asian Americans. The population was 14 million in 2010 and is calculated to grow to almost 38 million in 2050. About 97% of Asian American populations are comprised of six different Asian-American subgroups: Chinese, Japanese, Asian Indian, Filipino, Korean, and Vietnamese
Asian Americans and the subgroups that fall into that are also very unique in their language abilities, socioeconomic statuses, and education levels
Many times in regular life and in research Asian American subgroups are lumped together into a single category. This can mask their the heterogeneity among the subgroups. It can also make it difficult to find and understand the health disparities within these populations.
Advocacy groups and researchers have spotlighted the importance of reporting and collecting subgroup data for Asian Americans
A recent change in the Affordable Care Act required the Secretary of HHS to create data collection standards for disability status, sex, primary language, ethnicity, and race. The policy and standards apply to all population-based health
surveys conducted or sponsored by HHS. In addition to these standards, a few goals were made specifically to advance data collection on Asian Americans. These include improving data collection within the Substance Abuse and Mental Health Services Administration’s National Survey and improving sample size in NHIS
Historically one of the most important ways to collect data on disease incidence and prevalence by race/ethnicity sucks at dividing Asian Americans into their different subgroups. The US Census Bureau was and still is trash
National disease and death registries are also a important source for monitoring of population health and health disparities. Very few states collect information on Asian American subgroups and some aren't even required to do so. In 2003 only 7 states required subgroup collection. There are also incidents of corners misclassifing people's ethnicity.
Extrapolation of data from one subgroup of Asian Americans (AA) to another subgroup can lead to misinformation and therefore insufficient healthcare. The data from Japanese heart studies can NOT be extrapolated to include Asian Indians and Filipinos.
FDA even extrapolates data in horrifying ways. From statins to multiple other drugs, the correct dosage recommendations are often extrapolated from 1 subgroup to multiple subgroups. The risk of Steven Johnson Syndrome or toxic epidermal necrolysis is different between subgroups due to allelic variations and genetic testing for these allelic variations should be used to determine correct dosage.