Showing 32 Results
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…
The Impact of COVID-19 on Real-World Health Data and Research
This white paper provides key health care stakeholders, including clinicians, researchers, payers and regulators, with a broad view of how the COVID-19 pandemic may have impacted real-world data (RWD…
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.
Are Value-based Arrangements the Answer We’ve Been Waiting for?
This NPC study explored the use of value-based arrangements as a mechanism for cost containment in the United States, noting the strengths and limitations of these tools.
U.S. Care Pathways: Continued Focus on Oncology and Outstanding Challenges
A peer-reviewed study assessed changes in development, implementation, and evaluation of care pathways, and reviewed the latest evidence on integration of pathways with value-based care initiatives…
National Pharmaceutical Council 2018 Annual Report
2018 marked NPC’s 65th anniversary as a leader in health research and policy.
Value-Based Agreements May Be More Prevalent Than Assumed
Research published in AJMC shows that value-based agreements (VBAs) between U.S. payers and biopharmaceutical manufacturers may be more prevalent than originally thought.
Evaluation of Person-level Heterogeneity of Treatment Effects in Published Multiperson N-of-1 Studies: Systematic Review and Reanalysis
To understand when and how individual treatment effects are examined, conducted and reported, this study evaluated existing multiperson N-of-1 studies, which can identify whether an intervention is…
Regulatory Barriers Impair Alignment of Biopharmaceutical Price and Value
This white paper highlights the challenges biopharmaceutical manufacturers and payers face when developing value-based contracts.
Health Plan Use of Patient Data: From the Routine to the Transformational
As the abundance and variety of patient data elements and sources continue to grow, health plans seek opportunities to deepen insights from multiple sources of patient data to shape care delivery,…
Data, Data Everywhere, But Access Remains a Big Issue for Researchers
This study captures the policy inconsistencies and hurdles that can hinder use of publicly funded federal and state datasets for researchers. These limitations can make it harder to conduct high…
Why Is Broader Access to Publicly Funded Data Important?
This infographic illustrates the policy inconsistencies and hurdles that can hinder use of publicly funded federal and state datasets for researchers.
Care Pathways in U.S. Health Care Settings: Current Successes and Limitations, and Future Challenges
Care pathways, also known as clinical pathways or integrated care pathways, are typically characterized as a method for managing patient care based on clinical practice guidelines, with the main…
Private Sector Risk-Sharing Agreements in the US: Trends, Barriers and Prospects
A peer-reviewed study found that there are limited risk-sharing agreements (RSAs) between health care payers and pharmaceutical manufacturers in the United States, but interest in the agreements…
When Does FDAMA Section 114 Apply? Ten Case Studies
There is hesitation to disseminate comparative effectiveness research because of ambiguities in the law that was established to help biopharmaceutical companies engage health plans around real-world…
Translating Comparative Effectiveness Research into Medicaid Payment Policy: Views from Medical and Pharmacy Directors
NPC supported a survey of Medicaid medical and pharmacy directors to better understand how policy makers in the state Medicaid programs view comparative effectiveness research (CER) and how they use…
Exploration of Heterogeneity in Distributed Research Network Drug Safety Analyses
Distributed data network drug safety analyses are difficult to interpret in the face of heterogeneity, or individual treatment effects.