The patient had already made up her mind before she sat down. She had seen something about GLP-1 medications the night before, a short video, probably under a minute, and now she was worried about muscle loss. It is the kind of moment Sejal Desai, MD, describes as routine in obesity medicine. "This happens every day," she says. The question is never really whether the information is accurate. The question is what to do with a patient who found it convincing.
Desai's approach begins with not arguing. Dismissing what a patient saw tends to make them feel dismissed personally, and that closes the door on the conversation she actually needs to have. Instead, she asks what specifically concerned them. In the GLP-1 example, there is something worth acknowledging: weight loss can include some loss of lean mass regardless of how it happens. That detail does not validate the alarm, but it gives her somewhere to stand. "The conversation becomes less about arguing with social media," she says, "and more about helping the patient make an informed decision."
The instinct many physicians have, to correct the record quickly and move on, tends to backfire. "I've learned that starting with 'That's wrong' rarely works," Desai says. "Patients ask these questions because the information seemed convincing." Her preferred entry point is something closer to: "I can understand why that would concern you. Let's look at what we actually know." From there, she works to separate what is accurate from what has been exaggerated, without framing it as a contest between her expertise and a stranger's video.
"My goal is not to win an argument with TikTok. It's to help patients evaluate health information and feel comfortable bringing questions to their doctor."
Part of what makes that goal difficult is the structure of the platforms themselves. Social media is built to capture attention, and the content that performs best tends to be fear-based, visually dramatic, or built around absolute statements. Obesity and health are, as Desai puts it, much more nuanced than a 60-second format rewards. A video that says a medication causes muscle loss will outperform a video that says the evidence is complicated and context-dependent. The algorithm is not selecting for accuracy.
What Desai is describing is a change in what the clinical encounter is actually for. A growing share of it is now spent not on diagnosis or treatment planning but on helping a patient reason through something they consumed before they arrived. Her message to patients reflects that shift: "Before changing treatment or deciding something is dangerous because of a 60-second video, ask your healthcare professional. Good decisions should be based on evidence, your health, and a trusted clinician, not an algorithm." Whether patients who trust the ring light over the white coat ever make it to that conversation is a question the exam room alone cannot answer.
