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The National Pharmaceutical Council (NPC) is a health policy research organization dedicated to the advancement of good evidence and science, and to fostering an environment in the United States that supports medical innovation.
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Showing 42 Results
Specialty drug use for autoimmune conditions varies by race and wage among employees with employer-sponsored health insurance
Published in the Journal of Managed Care and Specialty Pharmacy, this study found that low-income and non-white individuals participating in commercial health plans have lower usage of specialty…
New Research Finds Commercial Health Plans' Use of Prescriber Requirements Doubled and Use of Step Therapy Increased by More Than 31% for Specialty Drug Coverage
New research co-authored by NPC examines how health plan policies have become more restrictive over time.
How the Myth of Average Persists in Health Benefits
People are different and their health needs vary. Though differences among patients are common, these differences aren’t always considered in treatment and coverage decisions.
The Myth of Average: Why Individual Patient Differences Matter
NPC's "The Myth of Average" explores how patients, health care providers, insurers, and other decision-makers can better consider individual patient differences when navigating the complexities of…
Achieving “Fair Access” Requires Better Benefit Design
An Institute for Clinical and Economic Review report acknowledges that patients are still facing barriers to needed treatments as a result of their health benefit design.
NPC in Health Affairs: Payment Innovation Not Keeping Up
In a Health Affairs Blog article, NPC and MIT researchers outline how a new rule from CMS may fall short of what is needed to improve patient access to durable cell and gene therapies that target…
NPC’s New Leader: Merging Research and Data with Real-World Experience
NPC Board Chair Michael Ryan says John M. O’Brien’s arrival as the new president and CEO of NPC reinforces a vital role the biopharmaceutical industry can play in the ongoing debate about health care…
Walking the Walk: Taking Needed Steps to Reduce Low-Value Care
Three leading researchers detail steps to reduce low-value care in the latest edition of The American Journal of Managed Care. Their approach complements a similar effort, the Roadmap for…
Stakeholders Find Step Therapy Should Be Evidence-Based, Flexible and Transparent: Assessing Appropriateness Using a Consensus Approach
Stakeholders disagree on when step therapy is appropriate, but agree on a set of criteria about how to develop, implement, communicate, safeguard and evaluate step therapy protocols.
If You Must Do Step Therapy, Do It Right
Finding consensus among health care stakeholders is never easy, and that is certainly true when it comes to the use of care management tools. But there are areas of agreement, especially if we focus…
AARDA’s Randy Rutta Talks Step Therapy
In this Q&A, Randy Rutta, AARDA’s President and CEO, talks about his organization’s efforts to raise awareness about step therapy and opportunities for patient-centered reforms.
Addressing Low-Value Care in the Time of COVID-19
The COVID-19 pandemic has had an enormous economic impact that is being felt across our communities, businesses and the overall health care system. It has placed a larger spotlight on the challenges…
Lessons from COVID-19: Step Therapy Should Not Be a Barrier to Patient Access
Step therapy requires patients to try a clinically recognized, lower cost first-line therapy before receiving reimbursement for an alternative therapy prescribed by the physician and can delay access…
A Path of Her Own: Salama Freed, 2020-22 NPC/Duke-Margolis Health Policy Fellow
Salama Freed, PhD, has always wanted to learn about the inner-world of health policy – who shapes it, what drives it and how it gets done. She believes that her path to this experience is through the…
Do Patient Preferences Align with Value Frameworks? A Discrete-Choice Experiment of Patients with Breast Cancer
The study assessed patient preferences for aspects of breast-cancer treatments to evaluate the usual assumptions in scoring rubrics for value frameworks.