When an employer pays $12,000/year for a GLP-1 prescription and the patient stops taking it at month 6, the employer doesn’t just lose $6,000 in drug spend. They lose the $4,200 in annual healthcare savings that adherent patient would have generated — and they still carry the comorbidity costs that weight loss would have reduced.
An adherent GLP-1 patient (PDC ≥ 80%) who achieves ≥10% body weight loss generates approximately:
| Savings Category | Annual Value | Source |
|---|---|---|
| Healthcare cost reduction | $2,800 | Cawley et al., J Health Econ 2015 |
| Absenteeism reduction | $1,200 | CDC Worksite Health ScoreCard |
| Disability claim reduction | $2,400 | Finkelstein et al., JOEM 2010 |
| Total savings | $6,400 | |
| Drug cost | -$12,000 | GoodRx market data 2025 |
| Net cost per adherent patient | -$5,600 |
Wait — that’s negative. The drug costs more than the savings. So where’s the ROI?
Not every patient needs ≥10% weight loss to generate value. The average adherent patient on semaglutide 2.4mg achieves ~15% weight loss (STEP 1, NEJM 2021), generating proportionally higher savings:
At portfolio level, the breakeven is reached when ~60% of enrolled patients remain adherent for 12+ months. Above 60% adherence, the program generates positive ROI.
For every non-adherent patient:
Benefits directors face a classic information asymmetry problem. They can see drug spend (it’s on the pharmacy claims). They can’t see outcomes (weight loss, A1C reduction, adherence rates) because that data lives in the EHR, not the claims system.
Without outcomes data, the CFO sees: “$12,000/year per employee × 400 employees = $4.8M in drug spend.”
With outcomes data, the CFO sees: “$4.8M in drug spend → $2.1M in documented healthcare savings + $800K in productivity gains = $1.9M net cost for 400 healthier employees.”
Same program. Radically different narrative. The difference is measurement.
The programs that measure these will keep their contracts. The ones that don’t will lose them to programs that do.
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