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Showing posts with the label mental health professionals

The Silent Mental Health Struggle: Why Nevada Adults Are Quietly Managing Depression, Anxiety, and Burnout Without Ever Asking for Help

 There's a category of Nevadan you rarely hear about in mental health statistics — the person who has been struggling for months or years, has never once made a psychiatric appointment, has never mentioned it to their primary care provider (assuming they have one), and has been quietly managing on their own with a combination of willpower, over-the-counter sleep aids, alcohol, caffeine, and the hope that things will eventually get better. This person is more common than most healthcare data captures. And in Nevada — where mental health provider shortages, long wait times, and stigma barriers combine to make asking for help genuinely difficult — this quiet self-management pattern affects a substantial share of the adult population. The National Trend Explains the Local Pattern Fresh 2026 data from FAIR Health confirms mental health is now the #1 telehealth diagnosis across every U.S. age group and every U.S. census region — accounting for 52.1% of all telehealth claims . Overall ...

What Dr. John Spencer Ellis Tells Mental Health Professionals Who Can't Fill Their Caseloads

When therapists contact John Spencer Ellis about building their practice, they often share the same frustration. "I'm a good clinician. I have availability. People need mental health support more than ever. Why aren't clients finding me?" John's answer isn't what most expect. It's Not About Marketing Harder The instinct is to do more. Post more on social media. Update the Psychology Today profile again. Maybe try ads. John redirects this energy. The issue isn't effort—it's visibility in the places clients actually search. Over half of prospective clients under 50 now ask AI for therapist recommendations. They ask ChatGPT or Gemini, receive three to five names, and contact those providers. Everyone else is invisible to them. When John asks therapists if they've checked whether AI recommends them, most have never thought to look. When they do, they discover they're not mentioned. That single gap explains much of their empty availabilit...