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Integrating value of research into NCI Clinical Trials Cooperative Group research review and prioritization: A pilot study

dc.contributor.authorCarlson, Josh J.
dc.contributor.authorKim, David D.
dc.contributor.authorGuzauskas, Gregory F.
dc.contributor.authorBennette, Caroline S.
dc.contributor.authorVeenstra, David L.
dc.contributor.authorBasu, Anirban
dc.contributor.authorHendrix, Nathaniel
dc.contributor.authorHershman, Dawn L.
dc.contributor.authorBaker, Laurence
dc.contributor.authorRamsey, Scott D.
dc.date.accessioned2018-11-20T15:35:52Z
dc.date.available2019-11-01T15:10:33Zen
dc.date.issued2018-09
dc.identifier.citationCarlson, Josh J.; Kim, David D.; Guzauskas, Gregory F.; Bennette, Caroline S.; Veenstra, David L.; Basu, Anirban; Hendrix, Nathaniel; Hershman, Dawn L.; Baker, Laurence; Ramsey, Scott D. (2018). "Integrating value of research into NCI Clinical Trials Cooperative Group research review and prioritization: A pilot study." Cancer Medicine 7(9): 4251-4260.
dc.identifier.issn2045-7634
dc.identifier.issn2045-7634
dc.identifier.urihttps://hdl.handle.net/2027.42/146484
dc.description.abstractBackgroundThe Institute of Medicine has called for approaches to help maximize the return on investments (ROI) in cancer clinical trials. Value of Research (VOR) is a health economics technique that estimates ROI and can inform research prioritization. Our objective was to evaluate the impact of using VOR analyses on the clinical trial proposal review process within the SWOG cancer clinical trials consortium.MethodsWe used a previously developed minimal modeling approach to calculate VOR estimates for 9 phase II/III SWOG proposals between February 2015 and December 2016. Estimates were presented to executive committee (EC) members (N = 12) who determine which studies are sent to the National Cancer Institute for funding consideration. EC members scored proposals from 1 (best) to 5 based on scientific merit and potential impact before and after receiving VOR estimates. EC members were surveyed to assess research priorities, proposal evaluation process satisfaction, and the VOR process.ResultsValue of Research estimates ranged from −$2.1B to $16.46B per proposal. Following review of VOR results, the EC changed their score for eight of nine proposals. Proposal rankings were different in pre‐ vs postscores (P value: 0.03). Respondents had mixed views of the ultimate utility of VOR for their decisions with most supporting (42%) or neutral (41%) to the idea of adding VOR to the evaluation process.ConclusionsThe findings from this pilot study indicate use of VOR analyses may be a useful adjunct to inform proposal reviews within NCI Cooperative Clinical Trials groups.The Instiztute of Medicine has called for approaches to help maximize the return on investments in cancer clinical trials. The findings from this pilot study indicate use of value of research analyses may be a useful adjunct to inform proposal reviews within NCI Cooperative Clinical Trials groups.
dc.publisherWiley Periodicals, Inc.
dc.publisherDuke Evidence‐based Practice Center
dc.titleIntegrating value of research into NCI Clinical Trials Cooperative Group research review and prioritization: A pilot study
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelHematology and Oncology
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/146484/1/cam41657.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/146484/2/cam41657_am.pdf
dc.identifier.doi10.1002/cam4.1657
dc.identifier.sourceCancer Medicine
dc.identifier.citedreferencePhilips Z, Claxton K, Palmer S. The half‐life of truth: what are appropriate time horizons for research decisions? Med Decis Making. 2008; 28 ( 3 ): 287 ‐ 299.
dc.identifier.citedreferenceInstitute of Medicine (IOM). A National Cancer Clinical Trials System for the 21st Century: Reinvigorating the NCI Cooperative Group Program. In; 2010.
dc.identifier.citedreferenceMcKenna C, Claxton K. Addressing adoption and research design decisions simultaneously: the role of value of sample information analysis. Med Decis Making. 2011; 31 ( 6 ): 853 ‐ 865.
dc.identifier.citedreferenceClaxton K, Ginnelly L, Sculpher M, et al. A pilot study on the use of decision theory and value of information analysis as part of the NHS Health Technology Assessment programme. Health Technol Assess. 2004; 8 ( 31 ): 1 ‐ 103, iii.
dc.identifier.citedreferenceClaxton KP, Sculpher MJ. Using value of information analysis to prioritise health research: some lessons from recent UK experience. Pharmacoeconomics. 2006; 24 ( 11 ): 1055 ‐ 1068.
dc.identifier.citedreferenceFenwick E, Claxton K, Sculpher M. The value of implementation and the value of information: combined and uneven development. Med Decis Making. 2008; 28 ( 1 ): 21 ‐ 32.
dc.identifier.citedreferenceGinnelly L, Claxton K, Sculpher MJ, et al. Using value of information analysis to inform publicly funded research priorities. Appl Health Econ Health Policy. 2005; 4 ( 1 ): 37 ‐ 46.
dc.identifier.citedreferenceMyers E, McBroom AJ, Shen L, et al. Value‐of‐information analysis for patient‐centered outcomes research prioritization. Durham, NC: Duke Evidence‐based Practice Center; 2012. http://www.pcori.org/assets/Value-of-Information-Analysis-for-Patient-Centered-Outcomes-Research-Prioritization2.pdf. Accessed March 14, 2014.
dc.identifier.citedreferenceBennette CS, Veenstra DL, Basu A, et al. Development and evaluation of an approach to using value of information analyses for real‐time prioritization decisions within SWOG, a large cancer clinical trials cooperative group. Med Decis Making. 2016; 36 ( 5 ): 641 ‐ 651.
dc.identifier.citedreferenceCarlson JJ, Thariani R, Roth J, et al. Value‐of‐information analysis within a stakeholder‐driven research prioritization process in a US setting: an application in cancer genomics. Med Decis Making. 2013; 33 ( 4 ): 463 ‐ 471.
dc.identifier.citedreferenceMeltzer DO, Hoomans T, Chung JW, et al. Minimal modeling approaches to value of information analysis for health research. Med Decis Making. 2011; 31 ( 6 ): E1 ‐ E22.
dc.identifier.citedreferenceDeverka PA, Lavallee DC, Desai PJ, et al. Stakeholder participation in comparative effectiveness research: defining a framework for effective engagement. J Comp Eff Res. 2012; 1 ( 2 ): 181 ‐ 194.
dc.identifier.citedreferenceAdes AE, Lu G, Claxton K. Expected value of sample information calculations in medical decision modeling. Med Decis Making. 2004; 24 ( 2 ): 207 ‐ 227.
dc.identifier.citedreferenceNational Cancer Institute. Cancer prevalence and cost of care projections. Annualized mean net costs of care. http://costprojections.cancer.gov/
dc.identifier.citedreferenceEckermann S, Karnon J, Willan AR. The value of value of information: best informing research design and prioritization using current methods. Pharmacoeconomics. 2010; 28 ( 9 ): 699 ‐ 709.
dc.identifier.citedreferenceEckermann S, Willan AR. Time and expected value of sample information wait for no patient. Value Health. 2008; 11 ( 3 ): 522 ‐ 526.
dc.identifier.citedreferenceThariani R, Wong W, Carlson JJ, et al. Prioritization in comparative effectiveness research: the CANCERGEN Experience. Med Care. 2012; 50 ( 5 ): 388 ‐ 393.
dc.identifier.citedreferenceNeumann PJ, Cohen JT, Weinstein MC. Updating cost‐effectiveness–the curious resilience of the $50,000‐per‐QALY threshold. N Engl J Med. 2014; 371 ( 9 ): 796 ‐ 797.
dc.identifier.citedreferenceBindels J, Ramaekers B, Ramos IC, et al. Use of value of information in healthcare decision making: exploring multiple perspectives. Pharmacoeconomics. 2016; 34 ( 3 ): 315 ‐ 322.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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