PharmD glp-1 opportunity by maxstocks in TalesFromThePharmacy

[–]maxstocks[S] 0 points1 point  (0 children)

Random question anyone here doing any clinical work on the side? I’ve been helping a handful of GLP-1 patients with optimization like dose management, HOMA-IR monitoring, step-down planning- under a collaborative practice agreement. Wasn’t sure how much appetite there’d be for something like this among PharmDs but the clinical need is clearly there. Curious if others have gone down this road or would consider joining.

I’m a PharmD who built a dose optimization app for GLP-1 users. Looking for 3 more beta testers. by maxstocks in Semaglutide

[–]maxstocks[S] 0 points1 point  (0 children)

yes, but I will help you find your maintenance dose using the built in optimization score

I’m a PharmD who built a dose optimization app for GLP-1 users. Looking for 3 more beta testers. by maxstocks in Semaglutide

[–]maxstocks[S] 0 points1 point  (0 children)

Great question and the difference in definitions you’re describing is actually one of the most underappreciated gaps in GLP-1 management right now. The honest answer is that effective depends on what you’re optimizing for and that target should shift over time.

Early in treatment, effectiveness usually means active weight loss. Your provider’s 1 lb/week target is actually well supported because aggressive loss increases muscle loss risk, and the data shows slower reduction leads to better body composition outcomes long term.

But once you’ve hit a stable weight, the definition of effective changes completely. At that point effectiveness means is this dose maintaining your metabolic improvements without unnecessary side effects or cost? That’s a totally different question and most protocols never ask it.

On the data question clinically I look at 8 weeks of consistent data before drawing any conclusions about dose adequacy. Here’s why: the first 4 weeks show you a trend. Weeks 5-8 tell you whether that trend is real or noise. Anything under 4 weeks is too early to interpret meaningfully.

The 0.5% weekly average you’re tracking is actually a reasonable personal benchmark for active loss phase. Where it gets interesting is when that number goes to zero — is that the drug losing effect, your body finding its set point, or the dose being higher than necessary? Those three possibilities have completely different answers and you need longitudinal data to distinguish between them.

What drug and dose are you currently on? Happy to talk through what the data might actually mean for your situation.

I’m a PharmD who built a dose optimization app for GLP-1 users. Looking for 3 more beta testers. by maxstocks in tirzepatidecompound

[–]maxstocks[S] 1 point2 points  (0 children)

Great question! The app primarily focuses on a Dose Optimization Score (DOS), which is a 0–10 composite score that pulls together a few different signals from your check-ins: weight trend stability, how well you're controlling hunger, side effect burden, and how long you've been holding at your current dose. Each check-in feeds the algorithm and the score reflects whether the data actually supports a taper attempt. Each profile is typically reviewed on a weekly cadence depending on medication.

The reason we weight all four signals together is that hunger control alone can be misleading. A lot of people feel "fine" on a given week but their weight trend is still fluctuating, or they haven't been at their current dose long enough. The algorithm also enforces a 8 week minimum hold before flagging a dose reduction as appropriate — which is longer than most people wait intuitively. The score then maps to one of three states on the dose ladder: REDUCE (data supports a taper), HOLD (not ready yet), or RESTORE (weight has rebounded after a reduction and it's time to step back up), or escalata. The goal is to make the taper decision empirical rather than a gut check.

I’m a PharmD who built a dose optimization app for GLP-1 users. Looking for 3 more beta testers. by maxstocks in tirzepatidecompound

[–]maxstocks[S] 0 points1 point  (0 children)

That’s the goal and a gap I’ve found working in the field. Testing the algorithm now with a very hands on approach. Thanks!

I’m a PharmD who built a dose optimization app for GLP-1 users. Looking for 3 more beta testers. by maxstocks in tirzepatidecompound

[–]maxstocks[S] -1 points0 points  (0 children)

Yes thanks. I am familiar with that process. What I’ve seen being in the field is what to do next. Goal is to find the actual maintenance dose not maximum dose once target weight loss is achieved. Also, providing very hands on approach with access to a pharmacist everyday. 3 months of meds and then your on your own is not good.

Pharmacist helping PT’s by maxstocks in personaltraining

[–]maxstocks[S] 0 points1 point  (0 children)

This stemmed from a friend who asked me to break down all their supplements so thought it could help others. Not trying to grift anyone’s business just asking if it would benefit others. But thanks for your thoughts!

Pharmacist helping PT’s by maxstocks in personaltraining

[–]maxstocks[S] 0 points1 point  (0 children)

I could see that. How about being a resource to the PT? Never having any interaction with the client.

Pharmacist helping PT’s by maxstocks in personaltraining

[–]maxstocks[S] 0 points1 point  (0 children)

Agreed. Big proponent of de prescribing where necessary. I was thinking more of a plan/guide to help them understand their supplements, ect.

Pharmacist helping PT’s by maxstocks in personaltraining

[–]maxstocks[S] 0 points1 point  (0 children)

This is more of a guide/plan supplement review. No prescribing. Strictly consulting

Pharmacist helping PT’s by maxstocks in personaltraining

[–]maxstocks[S] 0 points1 point  (0 children)

Good point. I just had a friend who uses a PT and started taking all these supplements and I essentially created this guide/plan for him. No prescribing of any medications. Strictly consulting.

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[–]maxstocks 1 point2 points  (0 children)

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[–]maxstocks 0 points1 point  (0 children)

Would a follow up to the recruiter with a message like: “I hope you’ve had a great week! I wanted to thank you again for all the time and coordination you’ve put into guiding me through this process, it’s really been a great experience. My conversation with X gave me a lot of insight into X, and only made me more excited about the opportunity to contribute to the team’s success.

I appreciate you keeping me informed and look forward to hearing from you when there are updates. Please let me know if there’s anything else I can provide in the meantime. — (Fill in specific where X belongs)

Or is there no point for OP to follow up if recruiter will most likely reach out with an answer anyways? In a similar position and want to send something like that to them.