The high cost, low quality and systemic inequities of the U.S. healthcare system have been the impetus for its redesign. Our healthcare system is now controlled by Consolidated Healthcare institutions, Insurance companies, Pharmaceutical companies and Health Information Technology companies (CHIPHIT complex). The CHIPHIT complex, along with the Federal Government, will create and control our future healthcare system. Ominously missing from this list are independent healthcare policy experts, independent healthcare providers and members of the general public.
Historical precedents have demonstrated that the CHIPHIT complex is
incapable of creating the healthcare system we need.
Thus, if we hope to build a low cost, high quality, egalitarian
healthcare system, physicians and their professional organizations must take an
emphatic stand against the CHIPHIT complex today.
Consolidated Healthcare Institutions
There are innumerable mandates which make running a small medical practice very difficult. As a result, many younger physicians will no longer attempt to start a new medical practice and existing profitable practices, which are looking to off- load their regulatory burdens, are being acquired by large healthcare institutions and private equity firms.
While these consolidated healthcare institutions vocalize their desire
to improve our healthcare system, many enforce a uniformity on the practice
environment which belies the reality of patient care; that there is no “best” practice model, nor are there
information technology tools which work well for all physicians. This imposed
uniformity stifles physician innovation, which is a necessary precondition to
improve our healthcare system.
Fifteen years ago, as a medical student, I learned a
terrifying lesson about blindly using race-based medicine. I was taking care of
Mr. Smith, a thin man in his late 60s, who entered the hospital with severe
back pain and a fever. As the student on the hospital team, I spent over an
hour interviewing him, asking relevant questions about his medical and social history,
the medications he took, and the details of his symptoms. I learned Mr. Smith
was a veteran who ran into tough times that left him chronically homeless,
uninsured, and suffering from hypertension and diabetes. I performed a complete
physical exam, paying particularly close attention to his back. Upon reviewing
his blood tests and kidney function, I read the computer’s report: “normal.”
I felt confident as I presented Mr. Smith’s treatment plan
to my attending physician: I recommended a CT scan, ibuprofen for pain, blood
pressure lowering medication, and an antibiotic. My attending listened quietly,
reviewed the labs herself, and then firmly corrected every aspect of my
treatment proposal. “His kidney function is NOT
normal. What you want to do for him can further damage his kidneys. The lab
reported his creatinine as ‘normal’ because it has an algorithm that makes
faulty assumptions based on race.” Mr. Smith, according to the medical record,
was African American.
I almost harmed Mr. Smith because I hadn’t realized that the exact same creatinine level (the key metric for kidney function) yields two different reports based on whether you’re African American or not. The logic goes that because black people supposedly have higher muscle mass on average, healthy creatinine levels for those who check the “black” box is different from those who check other boxes. Physicians around the country continue to rely on this metric even when the black patient is thin, like Mr. Smith. This example of race-based creatinine levels to determine kidney function is a symptom of race-based medicine in general: (poorly defined) racial categories are often used as proxies to explain discrepancies in health outcomes by race, which is a potentially dangerous analysis. Mr. Smith’s case forced me to consider why race-based medicine is problematic and where our attention as healthcare providers should be directed instead.
What is certain is that health inequities persist along racial lines. African Americans and Hispanics have higher rates of diabetes, hypertension, and heart disease than other groups (Figure 1). American Indians and Alaskan Natives are 2.1 times as likely to be diagnosed with diabetes as white individuals and the prevalence of obesity in this population is higher than any other group. While it would be convenient to attribute these disparities to genetic difference, this is simply not the case.