COMPARATIVE EFFECTIVENESS RESEARCH
Comparative Effectiveness research (CER) is aimed at the comparison of healthcare interventions and technologies to aid evidence-based decision making for patients, providers, and practitioners. CER requires a comprehensive and systematic synthesis of results for existing studies enabling comparison of health-related outcomes for diverse patient populations. The value added by CER to healthcare decision making contributes to its increasing acceptance by regulatory bodies like NICE, PBAC, and the FDA.
Meta-Analysis (MA) combines data from several studies using statistical methods. Investigator bias is minimized due to the systematic and quantitative synthesis of data which, also serves to increase the generalizability of health technology on a defined outcome. The MA approach increases statistical power providing a more complete assessment of an intervention’s impact than would be possible from an individual study.
Network Meta-analysis (NMA) and indirect treatment comparisons are useful in the absence of head-to-head RCTs. NMA is a useful tool to conduct multiple pairwise comparisons which contribute to the overall body of evidence and demonstrate the relative treatment effect between competing interventions.
Systematic Literature Review
Systematic literature reviews (SLRs) summarize existing clinical research for a clearly-defined research question. The scientific design of an SLR results in reliable and replicable research. At CHEORS we have a team of trained professionals adept at conducting SLRs. Our experienced consultants follow a scientific and transparent approach tailored to suit client needs while ensuring reproducibility of process reporting as per PRISMA guidelines.