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Insights
We offer personalized insights and strategy, and spotlight data in a compelling way to shape policy, communicate value, secure reimbursement, and drive patient access.
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2026 Outlook on the Management of Drug Price Negotiation Program and Competitor Drugs
Magnolia Market Access released its fifth iteration of the IRA Payer Insights Survey in the summer of 2025 to understand how the IRA will affect the Medicare Part D program, including beneficiary premiums, formulary coverage, and contract negotiations for manufacturers and payers.
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Payer Research: A Strategic Driver of ROI Across the Lifecycle
Design research payers can use: focus on real-world outcomes, durability, and total cost of care; bring payer input in early and often; and pressure-test access levers pre-launch. Turn strong science into coverage, reimbursement, and measurable ROI.
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Case Study: Using a Formulary Databook to Navigate 2025’s Medicare Part D Shifts
Find out how one manufacturer turned formulary complexity and policy uncertainty into strategic advantage using Magnolia Market Access’ Part D Formulary Databook.
Market Access Briefs
A Blend of Core Concepts and Breaking Headlines
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What is the Congressional Budget Office (CBO)?
The Congressional Budget Office (CBO) is an independent, nonpartisan agency that serves Congress by providing economic and budgetary analyses of proposed legislation. It estimates the financial impact of proposed bills and assigns them a budget score, which is used by lawmakers to determine how the bill will affect the federal budget over a typical 5-to-10-year…
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What is frailty and why does it matter?
What Is Frailty? Frailty is a clinical syndrome characterized by a reduction in an individual’s physiological reserve and increased vulnerability to stressors, often seen in older adults.1 Characteristics of frailty include low physical activity, muscle weakness, slowed performance, fatigue or poor endurance, and unintentional weight loss.2 Health Risks and Clinical Impacts of Frailty Frail patients…
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What is Inverse Probability of Treatment Weighting (IPTW)?
What Is Inverse Probability of Treatment Weighting (IPTW)? Inverse Probability of Treatment Weighting (IPTW) is a method used to control for confounding in observational data. IPTW methods use propensity scores to assign weights to each subject creating a pseudo-population where covariates are balanced across exposure groups. Understanding Confounding in Observational Research In a typical study,…