Best Practice Guidelines for Propensity Score Methods in Medical Research: Considerations on Theory, Implementation, and Reporting. A Review

Best Practice Guidelines for Propensity Score Methods in Medical Research: Considerations on Theory, Implementation, and Reporting. A Review

Authors

Chen JW, Maldonado DR, Kowalski BL, Miecznikowski KB, Kyin C, Gornbein JA, Domb BG
DOI: 10.1016/j.arthro.2021.06.037

Background

Propensity score matching (PSM) is a statistical method used to control for biases in retrospective studies. This review aims to explain PSM's theory, its proper implementation, and how to report its use in studies.

Methods

The article outlines the core principles behind PSM, compares it to other methods like regression analysis, and provides a detailed example of its implementation.

Key Findings

PSM is a highly valuable tool for creating balanced groups in observational studies. The review emphasizes the importance of understanding PSM’s methodology for producing reliable research results.

Conclusions

For clinicians conducting research, this review offers a solid understanding of how to apply PSM effectively to enhance the validity and reproducibility of their studies.

What Does This Mean for Patients

If you are part of a study, understanding the methods used to match patient groups based on propensity scores helps ensure the study's findings are reliable and unbiased.