Recently I reviewed a journal article about breast cancer, and as most medical articles do, it started with statistics. You’ve been hearing and reading a lot of statistics about COVID-19 the past year; every television news report about the pandemic starts with the numbers -how many new cases, how many total cases, how many vaccinated, and unfortunately how many deaths.
Before the pandemic you probably weren’t too familiar with the medical science of epidemiology which uses lots of statistics.
Epidemiology is the branch of medical science that investigates all the factors that determine the presence or absence of diseases and disorders.National Institutes of Health
But numbers need context. Statistics help us understand what has happened before, what is happening now, and what may or will happen in the future. And not only what, but how and why. Then we can act to change the outcome. And sometimes those outcomes involve life or death.
Health data doesn’t help us much if it just ends up in medical journals or textbooks. Physicians and other healthcare clinicians use it to counsel patients and make medical recommendations about preventive care, and diagnosis and treatments of diseases.
How doctors use statistics to help patients
You might say we use them as “talking points” to convince people to do things we believe will help them and to avoid doing things we think might hurt them. You’ve seen the same thing happen when public health officials make recommendations about COVID-19 suppression. So a doctor might
recommend you do something -get a mammogram or wear a mask
caution you against doing something -smoking cigarettes or gathering in crowds
encourage a behavior-wearing sunscreen or keeping 6 feet distance
all based on knowing the epidemiology of breast, lung, and skin cancers, and COVID-19 based on statistics.
Breast cancer incidence and risk
So getting back to the breast cancer article, I think many women overestimate their risk of getting and dying from breast cancer. According to the article, in the
past 5 years, 2.3 million cases of breast cancer
in women have been diagnosed in the United States (breast cancer does occur in men but the number is so low it does not change this total significantly)
The mortality rate for breast cancer is 20 deaths/100,000 women. The most recent number for deaths in 1 year is 42,000. (United States)
The majority of women have NORMAL BRCA.
COVID-19 by comparison
Since the onset of the pandemic there are been
27 million cases of COVID-19 (February 2020-February 2021)
diagnosed in both men and women in the United states. (And many experts suspect that thousands of cases have gone unrecognized.)
The current mortality rate for COVID-19 is approximately 134/100,000 people. The current number of deaths in the past year is 460,000. (These numbers are compiled by Johns Hopkins University and are current as of the published day of this post)
WHO, the World Health Organization, reports that 2.3 million new cases of breast cancer occurred last year, while in less than a year there have been 105 million diagnosed cases of COVID-19.
Did these numbers surprise you?
Did they cause you to change your mind about something?
Will you change behavior based on these numbers?
What does it matter?
Healthcare professionals use statistics to understand and predict health risks, then counsel their patients about maintaining health and preventing disease, disability, and early death. One way they do so is with screening tests, like mammograms, to detect early breast cancer when it is easier to treat. successfully.
Public health professionals do the same thing, but apply the knowledge to large populations of people, such as infants, children, adolescents, pregnant women, or the elderly. And sometimes to an entire neighborhood, town, state, or nation, as we’ve seen happen with the SARS-CoV-2 pandemic, recommending masking, social distancing, handwashing, and vaccination.
But when health, especially public health, becomes politicized these “talking points” can be used to
- inflame rather than inform
- manipulate not motivate
- confuse rather than comfort
- cause panic instead of instilling peace.
And this is more likely to happen when we don’t understand the statistics and reasoning behind the recommendations. I believe much of the misinformation that has been shared on social media is not intentional, but from misunderstanding of the message that was intended.
This is the title of a new book by Financial Times columnist Tim Harford in which he tries to answer the question
Why do we believe what isn’t true?
In an interview by Erica Pandey, Harford encourages us to be curious and open-minded, and ask the right questions with a desire to understand. When you read or hear some new and perhaps disturbing information about the pandemic, cancer, or any other hot topic, ask yourself if the teller is trying to make you smarter or trying to win an argument. (AXIOS Today podcast February 5, 2021)
(This is an affiliate link, meaning it may pay a commission to this blog is a sale occurs.)
My 5 guidelines for making sense of information
- RECOGNIZE any bias, inconsistencies, contradictions; does it confirm what you already know? If not, why not? What is it trying to make you believe?
- RESEARCH other sources and other media, what do they say about the topic, and are they credible ?
- REVIEW all the information you find trustworthy; do you have all the information you need to make a conclusion?
- RECONSIDER when new information becomes available or circumstances change; if significant, you may need to start the process all over.
- REMEMBER almost everything is subject to reinterpretation; as the numbers change, so may the conclusions. Statistics give us a chance to learn and understand, but aren’t the best way to prove a point or to win arguments .
final thoughts-Know Your Chances
(an affiliate link)
How to see through the hype in medical news, ads, and public service announcements
be a healthy skeptic. That doesn’t mean you have to be a cynic, simply disbelieving all the health messages you hear.
Instead, it means approaching messages critically: looking out for—and seeing through—common tactics used to exaggerate the importance of health problems or actions you can take to address them.
Know Your Chances: Understanding Health Statistics, by Steven, Woloshin, Lisa M. Schwartz, and H. Gilbert Welch. © 2008 by the Regenets of the University of California. Published by the University of California Press. (Read free at this link)
sharing the HEART of healthcare statistics
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