Literature DB >> 23300367

Improving the quality of abstract reporting for economic analyses in oncology.

M Y Ho1, K K Chan, S Peacock, W Y Cheung.   

Abstract

BACKGROUND: The increasing cost of cancer drugs underscores the importance of economic analyses. Although guidelines for abstract reporting of randomized controlled studies and phase i trials are available, similar recommendations for conference abstracts of economic analyses are lacking. Our objectives were to identify items considered to be essential in abstracts of economic analyses;to evaluate the quality of abstracts submitted to the American Society of Clinical Oncology (asco), the American Society of Hematology (ash), and the International Society for Pharmacoeconomics and Outcomes Research (ispor) meetings; andto propose guidelines for future abstract reporting at conferences.
METHODS: Health economic experts were surveyed and asked to rate each of 24 possible abstract elements on a 5-point Likert scale. A scoring system for abstract quality was devised based on elements with an average expert rating of 3.5 or greater. Abstracts for economic analyses from asco, ash, and ispor meetings were reviewed and assigned a quality score.
RESULTS: Of 99 experts, 50 (51%) responded to the survey (average age: 53 years; 78% men; 54% from the United States, 28% from Europe, 18% from Canada). In total, 216 abstracts were reviewed: asco, 53%; ash, 14%; and ispor, 33%. The median quality score was 75, but notable deficiencies were observed. Cost perspective was reported in only 61% of abstracts, and time horizon was described in only 47%. Abstracts from recent years demonstrated better quality scores. We also observed disparities in quality scores for various cancer sites (p = 0.005).
CONCLUSIONS: The quality of conference abstracts for economic analyses in oncology has room for improvement. Abstracts may be enhanced using the guidelines derived from our survey of experts.

Entities:  

Keywords:  Economic analyses; abstracts; oncology; quality

Year:  2012        PMID: 23300367      PMCID: PMC3503674          DOI: 10.3747/co.19.1152

Source DB:  PubMed          Journal:  Curr Oncol        ISSN: 1198-0052            Impact factor:   3.677


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