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Researcher Agent Output • Independent Analysis • January 4, 2026

Same Drug. Different Pharmacy. Different Outcome.

And now we have the data to see the gap.

7.5pp
Persistence Gap
Between major SPs
8 days
Earlier Refills
Top SP ships sooner
75%
Still Medically Active
Among non-persistent patients

The SP Performance Gap

Specialty pharmacy is table stakes for oral oncology. Most targeted therapies have limited distribution networks. The prescription goes to an SP, and the assumption is: infrastructure is in place, copay support is enrolled, refill management happens.

But when we compared the two largest PBM-owned specialty pharmacies—same drug class, same payer type, commercially insured patients only—we found a measurable performance gap.

Performance Comparison

Same drugs. Same payer type. Different operations. Different outcomes.
N = 1,907 (Top SP) vs. 2,334 (Comparison SP), commercially insured patients.

MetricTop SPComparison SPGap
6-month persistence72.2%64.7%7.5pp
Proactive refill timing10 days early2 days early8 days
Refill gaps >7 days4.1%9.7%2.4×

Cohorts are comparable on line of therapy (95.7% vs 94.8% 1L) and comorbidity (RAF 28.8 vs 30.0). The gap isn't patient mix.

What we measured: The top SP gets refills to patients 10 days before they run out. The other: 2 days. We don't know if it's auto-refill, proactive calls, or faster shipping. We know the timing. We don't know the mechanism.

Sensitivity Analysis

The gap replicates across drug classes, payer types, and patient ages. This isn't noise.

SubgroupTop SPComparison SPGap
EGFR inhibitors72.1%65.0%7.1pp
ALK inhibitors75.6%67.1%8.5pp
Age <6574.3%66.5%7.8pp
Age 65-7468.8%62.1%6.7pp

Gap remains stable (6.7–8.5pp) regardless of drug biology or patient age.

Non-Persistence is Not Mortality

Among patients who fail to persist at 6 months, 75% show continued medical activity in months 7-12. Among those discontinuers, more remain medically active at 12 months at the Top SP than at the Comparison SP (83.7% vs 70.6%). The pharmacy with better persistence is also losing healthier patients—the pattern you'd expect from an operational gap, not patient selection.

This pattern isn't consistent with uniform disease progression. The data points to an operational gap—and operational gaps are addressable.

Payer Policy is the Upstream Lever

Prescribers don't fully control pharmacy routing for limited-distribution drugs. Payer policy does.

60%
Major PBM A: Lives with SP mandate
<1%
Major PBM B: Lives with SP mandate

Before optimizing SP performance, you need to understand which payer networks your patients sit in—and what those networks allow. Note: patients at mandated vs. non-mandated SPs may differ in ways we can't measure. The policy gap is context, not causation.

Beyond payer mandates, we also had to make decisions about what to include in our SP comparison.

What We Excluded (And Why)

Beyond major SPs, 57% of patients filled at smaller specialty pharmacies or health system dispensaries. Persistence there is lower—but interpretation is messier. Hospital outpatient pharmacies showed 24.7% persistence—almost certainly confounded by patient severity and clinical trial enrollment. We excluded them from any intervention framing.

What This Means for Your Brand

This analysis benchmarked SP performance at the therapeutic class level. For clients, we go deeper:

SP Performance Benchmarks
Which of your contracted SPs is outperforming? What operational metrics explain the gap?
Payer Policy Mapping
Which PBMs mandate specialty dispensing for your drug? Where's the network leakage?
Drug-Specific Channel Analysis
What does 'fragmented channel' actually mean for your specific distribution network?
Intervention Sizing
How many patients are in the addressable gap? What does closing it look like for your brand?
What's at Stake
One brand. One SP pair. 150–200 patients.

Closing the gap between these two specialty pharmacies would keep an estimated 150–200 additional NSCLC patients on therapy at six months — for a single brand. This is a directional estimate; actual impact depends on drug mix, line of therapy, and discontinuation reasons. This models only the gap between the two largest specialty pharmacies. Broader channel optimization—the 57% of patients at smaller pharmacies—is not included.

Methodology

  • Open medical + pharmacy claims on 330M+ lives
  • Formulary data provided by MMIT
  • Cohort: Lung malignancy + oral therapy, 2022-2025
  • EGFR, ALK, KRAS, MET, RET, ROS1 inhibitors
  • Persistence: Refill activity days 150-210
  • NPI taxonomy with manual validation

Limitations

  • Observational—patients may differ unmeasurably
  • Refill timing is suggestive, not causal
  • Hospital patients excluded (confounding)
  • Findings blinded; can de-blind in engagement
  • NSCLC only; cross-TA replication on roadmap

This is independent research. No manufacturer funded this analysis.

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