| Literature DB >> 28749065 |
Dawn Driscoll1, Stephanie Farnia2, Panos Kefalas3, Richard T Maziarz4.
Abstract
Cellular therapies and other regenerative medicines are emerging as potentially transformative additions to modern medicine, but likely at a staggering financial cost. Public health care systems' budgets are already strained by growing and aging populations, and many private insurer's budgets are equally stretched. The current systems that most payers employ to manage their cash flow are not structured to absorb a sudden onslaught of very expensive prescriptions for a large portion of their covered population. Despite this, developers of new regenerative medicines tend to focus on the demands of regulators, not payers, in order to be compliant throughout the clinical trials phases, and to develop a product that ultimately will be approvable. It is not advisable to assume that an approved product will automatically become a reimbursed product, as examples from current practice in hematopoietic stem cell transplantation in the U.S. demonstrate; similarly, in Europe numerous Advanced-therapy Medicinal Products achieved market authorization but failed to secure reimbursement (e.g., Glybera, Provenge, ChondroCelect, MACI). There are however strategies and approaches that developers can employ throughout clinical development, in order to generate clinical and health economic data which will be necessary to demonstrate the value proposition of the new product and help ensure market access for patients; furthermore, performance based managed entry agreements coupled with post-launch evidence generation can help overcome challenges around product uncertainty at launch and reduce market access delays. Stem Cells Translational Medicine 2017;6:1723-1729.Entities:
Keywords: Acute myelogenous leukemia; Autologous stem cell transplantation; Cellular therapy; Hematopoietic stem cell transplantation
Mesh:
Year: 2017 PMID: 28749065 PMCID: PMC5689744 DOI: 10.1002/sctm.16-0487
Source DB: PubMed Journal: Stem Cells Transl Med ISSN: 2157-6564 Impact factor: 6.940
Reimbursement‐related concepts for each phase of clinical product development
| Development phase | Key concept to consider | Source of information |
|---|---|---|
| Preclinical | Is there currently a well‐defined disease or condition with treatments that are currently defined by codes and reimbursed? | Current market access and competitor landscape, as shown in payer policies, ICD‐10 codes, and payment codes. Medicare National and Local Coverage Determinations and the Medicare Code Editor. |
| Early clinical | Do the safety results support moving to the next trial phase? Payers can deny coverage on the basis of inadequate patient safety. | Identify any products approved for use to treat the target condition but face challenges in payer acceptance due to safety concerns. |
| Phase IIa/IIb |
Trial design issues (see Table | If no coding exists, start gap‐analysis process. Identify appropriate medical society partner to understand coding process and timeline. New codes may take 1–3+ years to secure. |
| Phase III | What will your product's final label say? |
Request payer input on pivotal trial design; ensure that endpoints and scales used to measure endpoints are payer‐friendly. |
| Pre‐Market | Payer negotiations based on phase 3 data | Price and coverage decisions; Results of therapy value assessment by various methods may impact contracted pricing. |
| Post‐market | Contracts/price changes | Annual/ongoing pricing negotiations will require continuous data collection and analysis to justify coverage and payment level. |
Trial design and potential impact on reimbursement
| Trial aspect | Issues | Reimbursement impact |
|---|---|---|
| Inclusion/Exclusion | Is this patient population already well defined and covered by most major payers? | If no, then product will likely add to payer burden. Consider generating peer‐reviewed data regarding the medical necessity for the treatment of the condition, and economic justification for a new approach. |
| Endpoints | Are the primary and secondary endpoints true measures of concepts that are meaningful to patients (QOL, QOLY), MDs (safety, PFS, OS), and payers (predictable costs, limited outlier)? | Payers will want to compare your results to current treatments’ results. To do so, they will need to have the same or very similar endpoints. |
| Scales | Are the instruments or scales being used to quality an endpoint considered to be routine and accepted? For example, there are validated scales to measure QOL, and these are generally applicable across a wide variety of medical conditions. | Developers should use validated scales that are available in multiple languages. New, nonvalidated measures of clinical effect can be time consuming and distracting for those trying to evaluate a new treatment's effect. |
| Duration to endpoint | Sponsors may generally like to reach a primary endpoint as quickly as possible to minimize costs and accelerate decision‐making about further clinical trials. The product must be tested long enough to show a sustained effect. | If the duration of effect is too short, payers may not cover without evidence of longer time of impact. |
| Comparator | Is the comparator used in the clinical trial truly the current standard of care? How much does it cost vs your expected initial cost? Will your product be associated with other directly related costs in the care episode (e.g., apheresis, biopsy, cell processing costs, final product preparation at clinical site)? | If comparator is realistic and the new product will be more expensive to the health care system, then you have a higher hurdle to prove substantial clinical improvements and/or improved quality of life. |
| Health economic measures | A trial's secondary endpoints should include measures relevant to the product's impact on financial factors for health care system and the patient. Length of stay in the hospital, increase or decrease in the use of concomitant medicines or medical services, and the ability to return to/begin work should all be considered | Payers will look to assess the value of a new treatment based on both clinical and economic impact. Evidence is needed to support coverage for the target patient population. |