Introductions to single person, n-of-1 trials

A good article in MIT Sloan Review about patient innovation mentions the rise of n-of-1 trials: Fortunately, very low-cost approaches exist and are being developed to make it practical for patients — both individuals and groups — to carry out high-quality, ethically appropriate trials. Many of them involve a trial design called “n of 1,” […]

The medium is the medicine: a novel history

Medicine’s history is often portrayed as a sequence of discoveries, all made in laboratories. In fact, though, the biggest changes in US medicine over the last 200 years were propelled by forces beyond medicine, specifically, in media. How medicine’s stakeholders communicated in different eras ⁠— in formats including medicine shows, newspapers, cars, telephones, medical journals, and TVs ⁠— determined what, and how much, was communicated. Where information flows, medicine follows: now social media, biomonitors and AI are ushering in a new age, one of patient generated medicine.

What are n-of-1 trials, and what are they good for?

An n-of-1 trial is a experiment conducted for a single person in which treatment blocks are randomly rotated, symptoms are systematically logged, and results are statistically analyzed. Since many treatments work differently for individuals, n-of-1 trials help determine a treatment’s efficacy for a specific individual. N-of-1 trials are typically used for chronic conditions and are not considered appropriate for acute illnesses.

Which strategy works best to disrupt a social media addiction?

In an article in Harvard Business Review, author Sarah Peck sums up the relative success of four strategies she tested to break her own social media addiction. No social media for 30 days, which was ‘easier than expected.’ Result: after the month was over, Peck discovered her phone was her addiction enabler.  Allowed social sites […]

Best practices for personal experiments, aka n-of-1 trials, are well documented but rarely used

Though the effectiveness of many treatments varies widely across individuals, treatments are rarely rigorously evaluated on a personal basis. Instead, pressed for time, physicians rely on trial and error testing. But protocols for personal experiments are simple, and their benefits are well documented.

Why aren’t n-of-1 experiments already common for chronic conditions?

Because many treatments’ effects vary depending on the individual, some researchers argue that effectiveness should be evaluated per patient. Yet a simple evaluation protocol that’s been tested and refined for 30 years, called an n-of-1 trial, is rarely used. Why?

Eleven cognitive biases and statistical errors that can interfere with finding the best treatment

Most people’s tests of potential treatments for chronic conditions involve haphazard cycling through doses and brands, spotty symptom diaries and no statistical analysis of results. This lack of rigor introduces numerous cognitive biases.

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