Data for cancer comparative effectiveness research: past, present, and future potential.

TitleData for cancer comparative effectiveness research: past, present, and future potential.
Publication TypeJournal Article
Year of Publication2012
AuthorsMeyer, Anne-Marie, William R. Carpenter, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok
Date Published2012 Nov 01
KeywordsComparative Effectiveness Research, Computer Security, Data Collection, Guidelines as Topic, Health Services Research, Humans, Neoplasms, Research Design

Comparative effectiveness research (CER) can efficiently and rapidly generate new scientific evidence and address knowledge gaps, reduce clinical uncertainty, and guide health care choices. Much of the potential in CER is driven by the application of novel methods to analyze existing data. Despite its potential, several challenges must be identified and overcome so that CER may be improved, accelerated, and expeditiously implemented into the broad spectrum of cancer care and clinical practice. To identify and characterize the challenges to cancer CER, the authors reviewed the literature and conducted semistructured interviews with 41 cancer CER researchers at the Agency for Healthcare Research and Quality's Developing Evidence to Inform Decisions about Effectiveness (DEcIDE) Cancer CER Consortium. Several data sets for cancer CER were identified and differentiated into an ontology of 8 categories and were characterized in terms of strengths, weaknesses, and utility. Several themes emerged during the development of this ontology and discussions with CER researchers. Dominant among them was accelerating cancer CER and promoting the acceptance of findings, which will necessitate transcending disciplinary silos to incorporate diverse perspectives and expertise. Multidisciplinary collaboration is required, including those with expertise in nonexperimental data, statistics, outcomes research, clinical trials, epidemiology, generalist and specialty medicine, survivorship, informatics, data, and methods, among others. Recommendations highlight the systematic, collaborative identification of critical measures; application of more rigorous study design and sampling methods; policy-level resolution of issues in data ownership, governance, access, and cost; and development and application of consistent standards for data security, privacy, and confidentiality.

Alternate JournalCancer
Original PublicationData for cancer comparative effectiveness research: past, present, and future potential.
PubMed ID22517505
PubMed Central IDPMC3431434
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
HHSA290-205-0040-I-TO4-WA5 / / PHS HHS / United States