In this week's readings, one of the main topics of focus was on healthcare. Specifically, this was a central point of focus in the Chavez reading, arguing that the healthcare system is filled with inconsistencies in care and practice. This got me thinking about how this tied to one of the examples in my paper.
In my paper, I discuss racialization, its' effects on minority groups, and ways in which people can overcome racialization on a grand scale. One of the examples I mention in this paper is a study conducted by the University of Michigan in which they examine the disparities in health research for the Latino population. It was found that they often lump Latino populations together into one group instead of segmenting this population by individual country to better understand trends that are ongoing within those populations. This is a huge issue that must be addressed, as health trends vary significantly by specific population and certain minority groups are being overlooked and grouped together as one when, in reality, there should be as much nuance in their research as there is for the white population.
“Pediatrics; Researchers from
University of Michigan Report Recent Findings in Pediatrics.” Factiva,
NewsRx.com, 2 Aug. 2013, https://global-factiva-com.ezp3.lib.umn.edu/ga/default.aspx.
Hello, I thought this was very interesting as well. As you said the study mentioned a minority group in the study was lumped into a larger population which will minimize the results and disallow the notation of certain trends. This can be very deterimental when diagnoesing and treating populations that demonstrate different symptoms for the same illness. This is commonly done in studies where mostly male patients were studied. Women had and have often been left out of studies and thus their symptoms are often ignored. For instance, most symptoms people use to diagnose autism or heart attacks were noted based on male patients experiences. Women are often misdiagnosed for this reason to their deteriment.
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