In collaboration with Pharmaceutical Research and Manufacturers of America, PHAR analyzed real world utilization of five drugs that were granted accelerated approval and projected the clinical outcomes for those who had access sooner due to the FDA’s Accelerated Approval Program. We found that earlier access to the five drugs sampled impacted over 9 million patients and led to substantial clinical benefits to these individuals. Read the issue brief here.
PHAR’s Sheila Reiss Reddy, PhD, MSc, RPh, Eunice Chang, PhD, and Caleb Paydar, in collaboration with Genentech Inc., conducted an analysis of Medicare and Medicaid claims data to examine the epidemiology of Huntington’s disease (HD), which was published in the August 2022 issue of Neuroepidemiology. Their study is the first to provide a comprehensive assessment of the prevalence and incidence of HD among Medicare beneficiaries and prevalence of HD among Medicaid beneficiaries, populations about which little was previously known. Their study found higher estimates of prevalence and incidence of HD than previously estimated, and highlighting opportunities for earlier diagnosis.
PHAR investigators Eunice Chang, PhD, Michael S. Broder, MD, MSHS, Caleb Paydar, and Katalin Bognar, PhD, in collaboration with Amgen, published their claims analyses comparing the risk of biologic initiation between apremilast and methotrexate starters among systemic-naive patients with psoriasis (PsO) and psoriatic arthritis (PsA). 2014–2019 claims data from the IBM® MarketScan® Commercial and Medicare Supplemental databases were analyzed; logistic and Cox regression models were used to estimate the likelihood of biologic initiation, and the risk of biologic initiation, during a one-year follow-up, respectively. In both populations, findings show that first-line apremilast users had lower rate of, and longer time to, biologic initiation over the one year following initiation than first-line methotrexate users. The analysis in a PsA population was published in Open Access Rheumatology: Research and Reviews, while the analysis of PsO patients was published in the Journal of Comparative Effectiveness Research.
At ENDO2022, Endocrine Society’s annual meeting, PHAR’s Ashis Kumar Das, MBBS, MPH, PhD, Cynthia Campos, MPH, and Michael S. Broder, MD, MSHS presented two posters on the ILLUSTRATE study, conducted in collaboration with Recordati Rare Diseases, Inc. ILLUSTRATE is a real-world retrospective chart review of osilodrostat usage in U.S. patients with endogenous Cushing’s syndrome. The first poster describes osilodrostat dosing, titration, and persistence for patients with endogenous Cushing’s disease. The second describes osilodrostat use in a small sample of patients with non-pituitary Cushing’s syndrome. Until now, no information was available describing use of osilodrostat in non-pituitary CS as such use is not yet FDA-approved. The posters can be viewed here, and the abstracts will be published in a supplemental issue of the Journal of the Endocrine Society.
PHAR investigators, in partnership with Sunovion Pharmaceuticals, developed clinical consensus on the use of on-demand treatments for Parkinson’s disease (PD) by convening experts to participate in a RAND/UCLA modified Delphi panel. In most evaluated scenarios, panelists agreed on-demand treatment is appropriate for PD patients with OFF episodes, especially for patients experiencing a significant functional impact. A summary of the process and consensus statements were presented as a poster at the 4th Pan American Parkinson’s Disease and Movement Disorders Congress today and can be viewed here. The accompanying abstract was also published in the May supplement issue of Movement Disorders Clinical Practice.
PHAR’s Michael S. Broder, MD, MSHS, Sarah N. Gibbs, MPH, and Irina Yermilov, MD, MPH published an article describing how they adapted the RAND/UCLA modified Delphi panel method, which typically relies on an in-person meeting, during the COVID-19 pandemic. This virtual method can be a cost-effective and efficient alternative for researchers and clinicians. Their work was previously presented as a poster at ISPOR’s annual meeting in May 2022, which can be viewed here. The article can be read on the PHAR publications page and in the Journal of Healthcare Leadership.
PHAR’s research was well represented at ISPOR’s annual meeting with six posters total. PHAR presented a self-funded study describing an adaptation of the RAND/UCLA Delphi panel method for virtual use. PHAR’s outcomes research team also presented a systematic literature review assessing the value of next-generation sequencing in advanced cancer, and a validated claims algorithm to identify patients with severe hemophilia A. PHAR’s real world evidence team presented three secondary data analysis studies, which summarized the burden associated with misdiagnosing neuromyelitis optica spectrum disorders, measured healthcare utilization and costs of diagnosing AL amyloidosis in the inpatient setting, and described treatment patterns in newly treated patients with Parkinson’s disease. All of these posters can be found on the PHAR publications page, and accompanying abstracts will be published in the ISPOR supplement of Value in Health.
In collaboration with Pharmaceutical Research and Manufacturers of America, PHAR developed an issue brief discussing how cost-effectiveness analyses can perpetuate health inequities. Cost-effectiveness analyses are commonly used to compare interventions, but fail to account for a diverse patient population. Read the issue brief here.
An analysis of 2 million Medicare beneficiaries establishes the cost of cancer by stage and time since diagnosis for 17 common cancers. The later the stage at diagnosis, the higher the cost, and this cost difference lasts for at least five years after diagnosis. Earlier diagnosis and treatment of cancer saves not just lives, but also a significant amount of money.
BEVERLY HILLS, Calif. — Cancer is the second leading cause of death and cancer care costs $1 trillion annually.
PHAR, a leading health services research consultancy, and GRAIL, a healthcare company whose mission is to detect cancer early when it can be cured, conducted an analysis of the Surveillance, Epidemiology and End Results (SEER) registry and linked Medicare data. Using these linked data sources, researchers systematically estimated the annual cost of care for 17 invasive cancers. The analysis was published in Current Medical Research and Opinion in April 2022. The study establishes a single resource for healthcare professionals, researchers, and payers in addition to providing a starting point to measure the benefit of early cancer detection.
Dr. Michael S. Broder, MD, MSHS, President of PHAR, notes, “Now, any agency or organization hoping to reduce the cost of cancer knows what the current cost is. That’s never been analyzed and presented in this way before.”
He continues, “The study establishes that later diagnosis means higher costs for years to come.” Diagnosis at a later stage is up to seven times more expensive than diagnosis at an earlier stage, and that cost remains higher for at least five years after diagnosis.
The study was conducted in collaboration with GRAIL, Inc., developer of the Galleri test, which uses artificial intelligence and machine learning to analyze DNA data from a blood draw to detect more than 50 types of cancers. This technology can reduce cancer burden worldwide and improve patient outcomes; PHAR’s in-depth cost analysis allows for the scientific community to measure by how much.
Two studies conducted by PHAR were presented as posters at AMCP 2022. The first study, in partnership with Sunovion Pharmaceuticals, developed clinical consensus on the use of on-demand treatments for Parkinson’s disease (PD) by convening experts to participate in a RAND/UCLA modified Delphi panel. In most evaluated scenarios, panelists agreed on-demand treatment is appropriate for PD patients with OFF episodes, especially for patients experiencing a significant functional impact. The second study, in collaboration with Genentech, presented the interim results of their claims-based algorithm used to identify patients with neuromyelitis optica spectrum disorder (NMOSD). The algorithm helps distinguish patients with NMOSD from patients with multiple sclerosis and other central nervous system inflammatory disorders, allowing researchers and clinicians to better estimate NMOSD burden. The posters can be viewed on the PHAR publications page and abstracts printed in the March supplement issue of the Journal of Managed Care + Specialty Pharmacy.