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The principal source for pharmacoeconomic analyses is often meta-analysis, as it compiles data from multiple studies to provide a comprehensive overview of the effectiveness and cost-effectiveness of a treatment or intervention. By integrating results from various clinical trials, meta-analysis enhances the statistical power and reliability of findings, allowing for better-informed economic evaluations.

Meta-analysis is particularly valuable because it can capture variations in study designs, populations, and outcomes, thereby offering a more robust set of evidence for decision-makers in healthcare. This aggregated data helps in assessing the economic implications of new therapies compared to standard treatments, ultimately influencing policy decisions and healthcare investments.

Other sources of data, such as experimental data, prospective survey data, and data from clinical trials, also contribute to pharmacoeconomic evaluations but do not provide the same breadth of context and comparative analysis as meta-analyses do. While clinical trials offer important insights into efficacy and safety, they often do not include comprehensive cost-related outcomes, which are crucial for pharmacoeconomics. Therefore, meta-analysis stands out as the preferable method for obtaining thorough and multi-faceted economic data in healthcare decisions.