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Beyond evidence hierarchies: Leveraging randomized controlled trials and real-world data to advance the value of
Yanan Hu1, Valerie Slavin2,3,4,5, Joanne Enticott1
1Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
While existing literature has compared the methodological strengths and limitations of randomized controlled trials (RCTs) and real-world data (RWD) in general medical research, two critical gaps remain unaddressed: (1) no prior communication papers have specifically examined this comparison in the context of maternity care where unique ethical and practical considerations exist, and (2) no studies have systematically compared cost-effectiveness analyses derived from RCTs versus RWD approaches-a crucial dimension for value-based maternity care decisions. This article examines how both approaches can strengthen the evidence base and support the delivery of value-based maternity care. We argue that neither RCTs nor RWD should be regarded as inherently superior in guiding decision-making. Each study design offers valuable insights, and their findings must be critically appraised in light of methodological rigor, context, and relevance, particularly when their results diverge.
While existing literature has compared the methodological strengths and limitations of randomized controlled trials (RCTs) and real-world data (RWD) in general medical research, two critical gaps remain unaddressed: (1) no prior communication papers have specifically examined this comparison in the context of maternity care where unique ethical and practical considerations exist, and (2) no studies have systematically compared cost-effectiveness analyses derived from RCTs versus RWD approaches-a crucial dimension for value-based maternity care decisions. This article examines how both approaches can strengthen the evidence base and support the delivery of value-based maternity care. We argue that neither RCTs nor RWD should be regarded as inherently superior in guiding decision-making. Each study design offers valuable insights, and their findings must be critically appraised in light of methodological rigor, context, and relevance, particularly when their results diverge.
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