The GLP-1 drugs are a genuine scientific triumph, and a preview of a mistake public health keeps making. We treat the molecule as the finish line. It isn't. It's the starting gun for the part that actually decides outcomes: whether people keep going.
The number under the hype
Only about 12%1 of American adults are on a GLP-1, and a large share of those who start will stop within a year, cost, side effects, coverage gaps, and the simple grind of a daily behavior all pull them off. When they quit, much of the weight comes back. So the headline "miracle drug" runs straight into the oldest wall in public health: biology is solvable in a lab; behavior is solvable only in someone's real life.
I've spent a career on the second half
The half that decides outcomes, adherence, coaching, habit, friction, is exactly the work I've done at scale. When we printed a health hotline on the market-leading soap in Bangladesh, doctors took roughly 3,000 calls a day, because we met people where they already were instead of asking them to travel to a clinic. That's the same muscle a GLP-1 program needs: not another warning about consequences, but a lower-friction path to the next dose, the next check-in, the next small win. Pharma builds the tool. Someone still has to build the behavior around it.
The dual-market stakes are enormous
In the US, GLP-1s are an access-and-adherence story playing out at a $-heavy scale. In Bangladesh, which carries one of the world's heaviest diabetes burdens, on the order of 13 million2-plus adults, the drugs are largely out of reach, which makes the behavioral lever not optional but the *only* scalable one available. Diet, movement, early detection, adherence to cheap existing medicines: unglamorous, and the highest-return public-health work in the country. Same disease, two markets, one conclusion, the intervention that scales is behavioral.
What "whole-person" actually requires
"Whole-person care" is a phrase everyone uses and few resource. In practice it means segmenting who's likely to discontinue and why, coaching through the side-effect window instead of leaving people alone in it, and designing the follow-up so continuing is easier than quitting. It's communication and support design, done deliberately, the difference between a drug that works in a trial and a drug that works in a life.
The short version
- Only ~12% of Americans take a GLP-1, and most who start will stop, the drug isn't the hard part.
- Biology is solved in a lab; behavior is solved only in someone's real life.
- I've built the behavioral half at scale, a ~3,000-calls/day hotline that met people where they were.
- In Bangladesh's 13M+ diabetes burden, behavior isn't a nice-to-have, it's the only scalable lever.
If the medicine is no longer the bottleneck, who is designing the behavior around it, and are we resourcing them?
Frequently asked questions
Why isn't the GLP-1 drug itself the hard part?
Only about 12% of American adults are on a GLP-1, and a large share of those who start will stop within a year, cost, side effects, coverage gaps, and the grind of a daily behavior all pull them off. When they quit, much of the weight comes back, so biology solved in a lab still runs into behavior that's only solvable in someone's real life.
What experience shows how to build adherence at scale?
Printing a health hotline on the market-leading soap in Bangladesh got doctors roughly 3,000 calls a day, because it met people where they already were instead of asking them to travel to a clinic. A GLP-1 program needs the same muscle: a lower-friction path to the next dose and the next check-in.
Why does Bangladesh make the behavioral lever non-optional?
Bangladesh carries one of the world's heaviest diabetes burdens, on the order of 13 million-plus adults, and GLP-1 drugs are largely out of reach there. That makes diet, movement, early detection, and adherence to cheap existing medicines the only scalable lever available, unglamorous but the highest-return public-health work in the country.
Sources
- JAMA (KFF poll). jamanetwork.com ↗
- International Diabetes Federation. diabetesatlas.org ↗
Md Shafaat Ali Choyon (MPH, CHES®, MBA, MCIM) is a growth, marketing and public-health strategist who builds and runs AI in production, with 17 years across telecom, fintech, e-commerce, consumer tech and healthcare in the US and Bangladesh. See the essays or the portfolio.