Evidence map›Paper›PMID 26168804›Full record

ArticleInternational journal of technology assessment in health care2015

PAYER PERSPECTIVES ON FUTURE ACCEPTABILITY OF COMPARATIVE EFFECTIVENESS AND RELATIVE EFFECTIVENESS RESEARCH.

Rachael Moloney, Penny Mohr, Emma Hawe, Koonal Shah, Martina Garau, Adrian Towse

Open access · hybridAbstract read
In one paragraph

Article in International journal of technology assessment in health care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Querying stakeholders to inform comparative effectiveness research.Journal of comparative effectiveness research · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Rachael MoloneyCenter for Medical Technology Policyrachael.moloney@cmtpnet.org.ORCID http://orcid.org/0000-0001-7450-906X
Penny MohrPatient-Centered Outcomes Research Institute.
Emma HaweOffice of Health Economics.
Koonal ShahOffice of Health Economics.
Martina GarauOffice of Health Economics.
Adrian TowseOffice of Health Economics.
Office Of Health Economics · GBCenter for Medical Technology Policy · USPatient-Centered Outcomes Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur 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.

methodsWe conducted semi-structured interviews with fourteen senior officials representing public and private payers, health technology assessment groups, and pricing and reimbursement bodies in the United States and Europe. An online survey assessed current use of CER/RE evidence and potential trends that might influence its use for decision making by 2020. A semi-structured interview elicited payers' definitions of CER/RE and was structured around four hypothetical cases resembling drugs expected to be more common or poised to create policy challenges by 2020. Topics included acceptance of study designs and analytic methods associated with CER/RE. A systematic content review was done to extract relevant information.

resultsAccording to key informants, randomization will remain an essential component for assessing comparative or relative effectiveness. They anticipate greater use of policy levers such as conditional reimbursement or prior authorization to manage diffusion of new drugs. Case studies provided important insights into situations when certain types of CER evidence may be acceptable (e.g., observational data when differences between drugs are largely convenience).

conclusionsIndustry perceptions that CER/RE will change payers' evidentiary requirements in the future are consistent with our findings. Growing investment in payers' own data and increased reliance on policy tools to control diffusion of new drugs may also influence the type of evidence industry will be required to produce by 2020.

Indexed as

Decision MakingPolicyComparative Effectiveness ResearchCost ControlHumansInterviews as TopicPrescription DrugsRandomized Controlled Trials as TopicResearch DesignTechnology Assessment, BiomedicalPrescription DrugsComparative effectiveness researchNew drug developmentPayer perspectivesRelative effectiveness

Identifiers

PMID26168804
PMCPMC4505735
OpenAlexW2178494974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.