Summary of Random Acts of Medicine By Anupam B. Jena and Christopher Worsham: The Hidden Forces That Sway Doctors, Impact Patients, and Shape Our Health
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Summary of Random Acts of Medicine By Anupam B. Jena and Christopher Worsham: The Hidden Forces That Sway Doctors, Impact Patients, and Shape Our Health
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Random Acts of Medicine is a groundbreaking book that explores the hidden side of medicine and how unexpected events can significantly impact our health. The book, written by Anupam Jena and Christopher Worsham, combines science and medicine to reveal how medicine works and its effect on all of us. Through ingeniously devised natural experiments, Jena and Worsham help readers understand the invisible forces that shape our health, such as heart attacks, doctor selection, and the necessity of surgery. The book empowers readers to see beyond the white coat and discover what makes medicine work and how it could work better.
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Summary of Random Acts of Medicine By Anupam B. Jena and Christopher Worsham - Willie M. Joseph
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This is an unofficial summary & analysis of Anupam B. Jena and Christopher Worsham’s Random Acts of Medicine: The Hidden Forces That Sway Doctors, Impact Patients, and Shape Our Health
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OUR LIVES ARE WOVEN IN A FABRIC OF CHANCE
Randomness, luck, serendipity, kismet, happenstance, accidents, or flukes are unpredictable moments that can impact our health, life, and death. These events can even play a role in life and death, as seen in the case of a retiree who died from a heart attack due to delayed ambulances or a child not receiving a flu shot due to a lack of availability in their doctor's office.
Medicines often make decisions based on science and carefully considered data, but medicine can be messy, complicated, and uncertain. There are many opportunities for randomness to affect medical care. Factors such as the doctor who happens to be working in the emergency room the day they sprained their ankle or the patient they shared a waiting room with just prior to a routine doctor's visit can influence patients' care.
In everyday medicine, people are sent down paths of care by factors they may not think to consider, such as the doctor who happened to be working in the emergency room the day they sprained their ankle or the patient they happened to share a waiting room with just prior to a routine doctor's visit. This can lead to long-term repercussions for the doctor you happen to see, as well as the politics of the doctor who cares for you in the hospital.
Natural experiments, which occur without the influence of any manipulating hand, are often used to study cause and effect in medicine. These experiments are the gold standard of science, but they can be logistically difficult, expensive, take unreasonable amounts of time, or be unethical. Researchers in some fields, such as economics, have come to rely on natural experiments in their work. For example, researchers in the field of economics have found that if scientists could isolate a naturally occurring event where some groups were exposed to higher levels of air pollution than others, actionable conclusions could be drawn from those findings. The study of natural experiments in medicine has shown that babies born just before E-ZPass automatic payments were introduced were more likely to be born prematurely and with low birth weights than those born just after. The researchers found no significant differences in housing prices near toll plazas before and after E-ZPass, and concluded that E-ZPass meant less air pollution, improving birth outcomes in the vicinity.
Another natural experiment was conducted by the University of Illinois Urbana-Champaign economists Tatyana Deryugina, Nolan Miller, David Molitor, and Julian Reif, and the Georgia State University economist Garth Heutel, who investigated the health effects of air pollution on elderly patients. They found convincing evidence that days with greater incoming air pollution led to higher hospitalizations and death among the elderly of that region. In both instances, health outcomes were affected by chance, and the role of chance was measurable.
The authors, Anupam Bapu, a professor of health-care policy and medicine at Harvard Medical School, and Chris, a pulmonary and critical care doctor at Massachusetts General Hospital, are devoted to the idea that examining the role chance plays in medicine can contribute to the health of patients and the well-being of communities. The study of natural experiments has been shown to uncover problems in the healthcare system that cannot be readily answered with traditional research and point us toward potential solutions.
One of the first natural experiments ever studied was actually in medicine, where Dr. John Snow, the father
of the field of epidemiology, hypothesized that patients