GLP-1
What to Track When Taking GLP-1 Medications Weekly
A checklist for GLP-1 tracking: dose timing, injection location, symptoms, and adherence notes you can use for weekly and monthly reviews.
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GLP-1 Weekly Dose Log Template
Structured weekly checklist for dose, symptoms, and next-dose planning.
DownloadBuild a GLP-1 log you can actually maintain
Most tracking systems fail because they are too complex.
The core fields
For each weekly dose, track:
- date and time
- medication and dose amount
- injection site and side
- any immediate symptoms
- planned next dose date
Minimum viable log versus full clinical context
Start with minimum viable fields for four weeks. If adherence is stable, layer in context fields one at a time.
Minimum viable:
- date/time
- medication and dose
- site and side
- completed or delayed
Clinical context:
- symptom severity (0 to 3 scale)
- symptom timing (hours post-dose)
- hydration/appetite note
- refill/supply risk
Optional fields that add context
If you want more detail, add:
- appetite changes
- GI symptoms and severity
- weight trend notes
- medication supply status
Symptom logging that stays useful
Avoid long narrative entries. Use structured language:
- symptom:
- severity:
- start time after dose:
- duration:
- impact on routine:
Example:
- symptom: nausea
- severity: 1 of 3
- start time after dose: 2h
- duration: 3h
- impact on routine: no missed meals, reduced portion size
Keep notes short and structured
Use repeatable language so entries stay comparable week to week.
Example:
- "Mild nausea 2 hours post-dose, resolved by evening"
- "No site pain, left thigh, next dose scheduled Friday"
Weekly summary format
Before follow-up visits, create a quick 5-line summary:
- doses completed vs planned
- delayed or missed doses
- recurring symptoms
- supply or refill interruptions
- top 1 to 2 questions for your clinician
This turns raw logs into decision-ready information.
Keep summary notes current
Review the last 4 to 8 entries and summarize patterns.
That gives your clinician clearer context than memory-based updates.

