• Thomas J Greene, Stacia M DeSantis, Erin E Fox, Charles E Wade, John B Holcomb, and Michael D Swartz.
• Department of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, 1200 Pressler St, Houston, TX 77030.
• Mil Med. 2018 Mar 1; 183 (suppl_1): 124-133.

AbstractRecently, observational studies analyzing prehospital blood product transfusions (PHT) for trauma have become more widespread in both military and civilian communities. Due to these studies' non-random treatment assignment, propensity score (PS) methodologies are often used to determine an intervention's effectiveness. However, there are no guidelines on how to appropriately conduct PS analyses in prehospital studies. Such analyses are complicated when treatments are given in emergent settings as the ability to administer treatment early, often before hospital admission, can interfere with assumptions of PS modeling. This study conducts a systematic review of literature from military and civilian populations to assess current practice of PS methodology in PHT analyses. The decision-making process from the multicenter Prehospital Resuscitation on Helicopter Study (PROHS) is discussed and used as a motivating example. Results show that researchers often omit or incorrectly assess variable balance between treatment groups and include inappropriate variables in the propensity model. When used correctly, PS methodology is an effective statistical technique to show that aggressive en route resuscitation strategies, including PHT, can reduce mortality in individuals with severe trauma. This review provides guidelines for best practices in study design and analyses that will advance trauma care.

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