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    v1.0.28
    OpenPayerPolicy UpdatesBariatric & Obesity ManagementWashington OIC obesity GLP-1 modeling policy updat…
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    DraftWashington Office of the Insurance CommissionerPolicy N/A

    Obesity Treatment Analysis — Modeling & Coverage Criteria (GLP-1 uptake, effectiveness, persistence, cost offsets)

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    Advisory-group feedback on a draft Milliman Obesity Treatment Analysis report focused on projected GLP-1 uptake, effectiveness, persistence, and healthcare cost offsets; intended for Washington OIC staff, advisory members, and stakeholders informing the final report and potential coverage/mandate decisions.

    Policy Summary
    PayerWashington Office of the Insurance Commissioner
    PolicyObesity Treatment Analysis — Modeling & Coverage Criteria
    Policy CodePolicy N/A
    Change TypeAdvisory recommendations to modeling and analytic assumptions
    Effective DateN/A
    Next Review DateN/A
    Key ActionExclude enrollees with a type 2 diabetes diagnosis or any antidiabetic pharmacy claim from incremental obesity-GLP-1 uptake estimates.
    SourceLink
    POLICY UPDATE CHANGES

    Exclude diabetes from obesity-GLP-1 incremental uptake

    Agent-specific effectiveness modeling

    Transparency and calculation disclosure

    89%share of projected cost increase attributed to GLP-1s

    OpenPayer is powered by Trek Health's payer performance platform. Trek continuously ingests, validates, and normalizes Transparency in Coverage data alongside payer policies and other commercial payer data to create a structured payer intelligence foundation. OpenPayer uses this foundation to deliver personalized search results, dynamically generated policy pages, and tailored policy monitoring based on each user's payers, specialties, billing codes, and areas of interest. The same intelligence powers broader payer performance workflows, including reimbursement benchmarking, contract evaluation, payer negotiations, and financial decision-making.

    12.7%
    assumed percent of enrollees who could use GLP-1s
    5/10/15/20/25%weight-loss tiers for cost offsets
    85-91% / 69-84%SURMOUNT-1 ≥5% / ≥10% at week 72

    Modeling & Analytic Coverage Criteria

    Modeling and analytic criteria

    Recommended analytic criteria to produce valid estimates

    Population definition: Exclude enrollees with a type 2 diabetes diagnosis or any antidiabetic pharmacy claim from the obesity-incremental GLP-1 uptake; consider excluding forecasted percentages who will receive bariatric surgery or GLP-1 for other covered indications (e.g., obstructive sleep apnea).

    Ensures costs attributed to mandate are incremental to obesity coverage

    Effectiveness inputs: Anchor to agent-specific efficacy (semaglutide, tirzepatide), weight by projected market share, and use observed real-world joint weight-loss distributions when available rather than multiplying trial efficacy by separate persistence factors.

    Prevents double-counting dropout and enforces nesting across thresholds (>=5% subset includes >=10%, etc.)

    Persistence inputs: Use post-shortage persistence data (2024 and later) specific to each agent; avoid using shortage-era refill-gap measures as they understate go-forward persistence.

    Reference Marshall et al. showing persistence recovery; distinguishes supply disruption from patient-directed discontinuation

    Cost-offsets: Apply a full multi-tier cost-offset schedule mapped to weight-loss bands (5/10/15/20/25%) per Thorpe & Joski rather than capping offsets at >=10%.

    Captures larger savings among high responders, especially with tirzepatide

    Transparency and sensitivity: Disclose exact calculations, primary sources, weighting, and provide sensitivity analyses for prevalence assumptions (e.g., 12.7% vs. CDC estimates) and average weight loss used in offset calculations.

    Addresses concerns about unexplained assumptions and conflicting prevalence figures

    Recommend excluding enrollees with a type 2 diabetes diagnosis or any antidiabetic pharmacy claim from estimates of incremental uptake of GLP-1 therapies attributed to an obesity coverage mandate. The report’s current exclusion removes only members already filling branded diabetes-specific GLP-1s and therefore leaves in people with obesity who have diabetes but are not yet on a GLP-1 (for example, those managed on metformin, newly diagnosed, or untreated). Including those enrollees risks attributing GLP-1 starts — and associated costs — to an obesity mandate when they would be covered and likely treated under existing diabetes indications.

    If enrollees with diabetes are retained in the uptake population, the analysis must explicitly model diabetes-specific cost offsets and adherence (which the advisory group notes are typically higher for the diabetes population). Additionally, the population definition should align with other inputs (for example, adherence sources that exclude members by diagnosis or any antidiabetic drug claim) and consider excluding forecasted shares who will receive bariatric surgery or GLP-1 therapy for other covered indications such as obstructive sleep apnea.

    Weight-loss Tiers & Coding Considerations

    Weight-loss tiers for cost offsets
    Weight-loss tiersApply Thorpe & Joski multi-tier offsets at 5%, 10%, 15%, 20%, and 25% mapped to modeled weight-loss bands
    Thorpe reference valuesThorpe reports employer-sponsored savings from $670 (5%) to $2,849 (25%) per enrollee-year
    Problem with truncationDo not collapse all responders ≥10% into a single 10% offset; that omits larger savings among high responders
    Implementation noteModel a full weight-loss distribution so each band (5/10/15/20/25%) can be assigned its corresponding offset
    RationaleModern GLP-1s, especially tirzepatide, reach high-response bands where Thorpe shows substantially greater savings

    Provider Actions, Exclusions & Transparency

    Prior Authorization

    Exclude T2D patients from obesity-incremental GLP-1 uptake

    Recommend excluding enrollees with a type 2 diabetes diagnosis or any antidiabetic pharmacy claim from the incremental obesity–GLP‑1 uptake estimate; if diabetes patients are retained, the analysis must instead include diabetes-specific cost‑offsets and adherence assumptions.

    • Exclude members with a recorded T2D diagnosis or any antidiabetic drug claim from obesity-targeted GLP-1 uptake projections.
    • If members with diabetes remain in the population, include higher expected GLP-1 cost offsets and higher adherence for the diabetes subgroup.
    Step Therapy

    Anchor effectiveness to semaglutide/tirzepatide and weight by market share

    Anchor effectiveness inputs to the specific agents expected to be dispensed post-mandate (semaglutide and tirzepatide), weight evidence by projected market share, and model efficacy separately from adherence rather than conflating them into a single effectiveness parameter.

    Clinical Background

    GLP-1 receptor agonists and dual agonists (for example, semaglutide and tirzepatide) produce substantial weight loss in modern randomized trials and in real-world cohorts. Contemporary agents and dual agonists show higher proportions of participants achieving clinically meaningful weight-loss thresholds compared with older pharmacotherapies, and trial results (for example, SURMOUNT-1 for tirzepatide) report large shares reaching ≥5% and ≥10% weight loss at trial endpoints.

    Because newer agents and market conditions differ from older products and shortage-era patterns, persistence and effectiveness estimates should be anchored to agent-specific evidence and recent real-world data rather than historical refill-gap metrics that understate likely go-forward persistence. The advisory group recommends using post-shortage persistence data and weighting trial efficacy by projected market share of semaglutide and tirzepatide rather than multiplying trial efficacy by separate persistence factors to avoid double-counting dropout.

    Key Definitions

    treatment-regimen estimand
    DefinitionTreatment-regimen estimand: trial-reported efficacy measure that already reflects within-trial discontinuation and should not be multiplied again by external persistence rates
    Implication for modelingDo not apply a separate persistence multiplier to trial treatment-regimen estimand efficacy — trials already include discontinuers
    Supporting evidenceSURMOUNT-1 (tirzepatide) reports very high ≥5% and ≥10% rates at week 72 (85–91% and 69–84%), demonstrating high efficacy even with within-trial discontinuation accounted for
    Real-world corroborationGasoyan et al. (2025) cohort measured at one year shows semaglutide ≈57% (≥5%) and ≈36% (≥10%); tirzepatide ≈73% (≥5%) and ≈56% (≥10%), all-including discontinuers
    Policy Summary
    PayerWashington Office of the Insurance Commissioner
    PolicyObesity Treatment Analysis — Modeling & Coverage Criteria
    Policy CodePolicy N/A
    Change TypeAdvisory recommendations to modeling and analytic assumptions
    Effective DateN/A
    Next Review DateN/A
    Key ActionExclude enrollees with a type 2 diabetes diagnosis or any antidiabetic pharmacy claim from incremental obesity-GLP-1 uptake estimates.
    SourceLink
    On This Page
    Modeling & Analytic Coverage CriteriaWeight-loss Tiers & Coding ConsiderationsProvider Actions, Exclusions & TransparencyClinical BackgroundKey Definitions
  1. Use agent-specific efficacy (semaglutide, tirzepatide) and apply projected market-share weights when combining evidence.
  2. Model efficacy and adherence as separate steps; prefer observed joint weight-loss distributions where available.
  3. Documentation Required

    Disclose calculations, sources, and weighting for thresholds/persistence

    Disclose exact calculations, primary sources, and any weighting used to derive percent meeting weight-loss thresholds and the approach to combining incretin results; provide sensitivity analyses for prevalence and persistence assumptions.

    • Provide formulas and data sources for % meeting weight-loss bands and show how different agents were weighted.
    • Explain persistence adjustments and report sensitivity to prevalence assumptions (e.g., 12.7% vs. alternative estimates).
    Denial Risk

    Risk of incorrect attribution if T2D enrollees are not excluded

    Attribution is at risk of being incorrect if enrollees with type 2 diabetes are not excluded from obesity-targeted uptake projections; leaving diabetes patients in can misattribute GLP‑1 starts that would be covered for diabetes to an obesity mandate.

    • Pharmacy-claim-based exclusions that only remove members already filling diabetes GLP-1s leave in people with T2D who are untreated or on non‑GLP‑1 diabetes therapies, overstating incremental uptake.
    • Consistent, diagnosis-based exclusion aligns the eligible population with downstream inputs and other referenced studies.