| Literature DB >> 26168804 |
Rachael Moloney1, Penny Mohr2, Emma Hawe3, Koonal Shah3, Martina Garau3, Adrian Towse3.
Abstract
OBJECTIVES: Our objective was to gather perspectives from payers on how comparative effectiveness research (CER) in the United States and relative effectiveness (RE) research in Europe will impact evidentiary standards for access decisions of new drugs by 2020.Entities:
Keywords: Comparative effectiveness research; New drug development; Payer perspectives; Relative effectiveness
Mesh:
Substances:
Year: 2015 PMID: 26168804 PMCID: PMC4505735 DOI: 10.1017/S0266462315000203
Source DB: PubMed Journal: Int J Technol Assess Health Care ISSN: 0266-4623 Impact factor: 2.188
Literature Review
| Description | |
|---|---|
| We conducted a non-systematic literature review by searching Medline (PubMed) and the grey literature (PCORI, IOM, AHRQ, PCAST) for key papers in CER/RE methods, focusing on innovative or less common study designs, statistical methods and data sources. We also searched for primary reports of U.S. payer perspectives on CER evidence for decision making and current RE requirements from European HTA and pricing bodies. We searched key words associated with specific methods or designs (e.g. “cluster randomized trials,” “indirect comparisons”) individually and in combination with key words such as “payers,” “coverage decisions,, “drugs,” “formulary,” in addition to broader searches for “comparative effectiveness research methods” (or CER methods or relative effectiveness methods) and “payers” or “pricing” etc. We searched Google Scholar to identify publications in the peer reviewed and grey literature providing evidence of HTA or pricing and reimbursement requirements in 8 selected jurisdictions (England and Wales, France, Germany, Italy, The Netherlands, Scotland, Spain, and Sweden). In addition, we drew relevant content from previous work with multiple U.S. stakeholders on choosing the appropriate study designs for specific CER questions, and a review of HTA requirements across several European systems. |
Description of Hypothetical Reference Cases
| Hypothetical Reference Cases | |
|---|---|
| Case 1 | A new drug that is a breakthrough for treating patients with a common chronic disease but has been studied only in a small population that has a specific biomarker identified by a companion diagnostic test. |
| Case 2 | A new drug that demonstrates no or marginal difference in efficacy between alternative drugs in Phase III trials. However, the new drug uses a more convenient route of administration than existing competitors because it does not require visits to the doctor's office. This raises the possibility that patients will adhere to the new drug more than the competitors. |
| Case 3 | A new drug in a crowded, competitive market for a common chronic disease with a demonstrated efficacy similar to its competitors. The manufacturer has identified several potential subgroups where the drug may be more effective; however, those subgroup analyses were underpowered and not planned a priori. Of the subgroups examined post hoc, one group was patients who did not improve on their initial therapies. |
| Case 4 | A new drug for a disease where no alternative pharmaceutical treatment exists. There is a surgical procedure considered a treatment, that requires general anesthesia, and which is performed only with poor to moderate success. However, the effectiveness of the surgery has not been vigorously investigated. |
Characteristics of Payer Key Informants, United States and Europe
| UNITED STATES | |||
|---|---|---|---|
| US1 | Public payer | CMS official | Involved in Medicare coverage determinations |
| US2 | Public payer | State Medicaid Medical Director | Works with pharmacy benefits manager but leads overall coverage determination process |
| US3 | Large private payer | VP, Hospitals, Quality & Care Delivery | Leads national quality and care delivery agenda, co-chairs the Medicare Part D formulary |
| US4 | Large private payer | Director, Health Technology Assessment | Makes recommendations to voters on what should be considered medically necessary |
| US5 | Large pharmacy benefits manager | Chief Medical Officer | Leads healthcare strategy, clinical & medical affairs |
| US6 | Large private payer + accountable care organization | Medical Policy, Technology Assessment, and Credentialing | Leads pharmacy & therapeutics process and medical policy process |
| US7 | Large private payer + accountable care organization | Clinical Policy Research and Development, Pharmacy and Therapeutics | Oversees clinical policies and co-chairs pharmacy & therapeutics committee |
| US8 | Integrated health system | Chief Medical Officer | Leads strategic direction of performance improvement in quality and patient safety |
| EUROPE: United Kingdom (including Scotland and England and Wales), Spain and Sweden | |||
| ID | Payer perspective | Description of organization or role | |
| EU1 | HTA body | Former member of Appraisal Committee, expert in Health Sciences methodology | |
| EU2 | HTA body | Leadership role, Research and Development | |
| EU3 | Regional pricing and reimbursement | Leadership role, Pharmacy | |
| EU4 | Government Agency, Pricing & Reimbursement | Expert in Health Economics | |
| EU5 | Government Agency, Pricing & Reimbursement | Study Coordinator | |
| EU6 | HTA Body | Appraisal Committee member | |
High Level Findings from Non–Case-Specific Interview Questions
| Domain: Study designs | |
|---|---|
| U.S. respondents | - Observational evidence may inform future clinical
practice guidelines in U.S. by leveraging enriched databases and advanced
statistics to identify observable characteristics that inform personalized
medicine |
| European respondents | - More use of national registry data in Europe in the
future |
| All | - RCTs will remain preferred study design |
| Domain: Methods/analytics | |
| U.S. respondents | - Large modeling groups such as Archimedes, Inc, and
GNS Healthcare, may drive the sophistication and application of advanced
statistics to “big data,”a hypothesis-free association studies, and
trial simulations |
| European respondents | - Methods of adjusting for bias in RE might increase
in usability with gradual acceptance of methodological standards, but current
techniques still need to be improved |
| All | - Bayesian statistics and advanced modeling expected
to increase by 2020 |
| Domain: Data capacity & burden of evidence generation | |
| U.S. respondents | - Continued investment in the development, quality of
large U.S. private payers' own databases |
| European respondents | - Increased use of national registries anticipated in
Europe |
| Domain: Accountable care | |
| U.S. ACO or integrated care respondents
| - More use of risk-adjusted per member per month
payments anticipated in the future, leading to more integrated understanding of
drug utilization and resource use |
aFor purposes of the project, we defined “big data” as a repository of a voluminous amount of unstructured or semi-structured data on diverse care settings that can be speedily accessed and the use of predictive analytics and data mining to undercover hidden patterns and unknown correlations.