Literature DB >> 23048101

The hypothetical migraine drug comparative effectiveness study: a payer's recommendations for obtaining more useful results.

Robert S Epstein1.   

Abstract

This article explores issues of concern to payers evaluating the hypothetical comparative effectiveness case study of two fictitious migraine treatments in this month's Health Affairs. The case study presents the seemingly paradoxical situation in which randomized controlled trials produce one result, and real-world observational comparative effectiveness research produces another. For the payer making coverage decisions, this scenario raises three major themes related to interpretation and communication. First, there is a need for a well-considered set of criteria that weigh evidence across comparative effectiveness studies to determine whether enough evidence exists to communicate or enact new health care policies. Second, emphasis should be placed on studies that are published or presented in peer-reviewed settings. Third, access to raw comparative effectiveness research data would enable payers to more deeply explore research interests relevant to their particular constituencies. Payers' involvement in comparative effectiveness research should be encouraged, not discouraged, to advance our understanding of what works best and for whom.

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Year:  2012        PMID: 23048101     DOI: 10.1377/hlthaff.2012.0730

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  2 in total

1.  Reproducibility of cine displacement encoding with stimulated echoes (DENSE) in human subjects.

Authors:  Kai Lin; Leng Meng; Jeremy D Collins; Varun Chowdhary; Michael Markl; James C Carr
Journal:  Magn Reson Imaging       Date:  2016-08-26       Impact factor: 2.546

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

Authors:  Rachael Moloney; Penny Mohr; Emma Hawe; Koonal Shah; Martina Garau; Adrian Towse
Journal:  Int J Technol Assess Health Care       Date:  2015-01       Impact factor: 2.188

  2 in total

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