W. C. Beck1, B. A. Cotton1, C. E. Wade1, J. M. Podbielski1, L. Vincent1, D. J. Del Junco1, J. B. Holcomb1, J. A. Harvin1 1University Of Texas Health Science Center At Houston,Houston, TX, USA
Introduction: Exception from informed consent (EFIC) allows subjects to be randomized prior to obtaining individual or representative consent. EFIC requires extensive community notification through processes such as in-person Community Consultation (CC), random-digit dialing, and announcements in radio, television and print media. The objective of this study was to assess whether a recently conducted trial performed under EFIC reached relevant and affected communities through the CC process alone.
Methods: A randomized transfusion trial at our center was conducted under EFIC. We held CC meetings with local organizations at 15 sites across the catchment area, which encompasses over 200 zip codes. Zip codes including and adjacent to the CC meeting locations were defined as CC ZIPCODE. We identified all zip codes in which patients were either injured or declared resident.
Results: There were 1695 patients screened and 107 patients randomized. Among the randomized group, 18% were injured in CC ZIPCODE (12% among screened). 24% of randomized patients had home zip code in CC ZIPCODE area (19% among screened). When CC ZIPCODE included either injury location or home address, 25% of patients were from CC ZIPCODE areas (22% among screened). CC ZIPCODE patients were more likely to be non-white (56 vs. 40%, p=0.129), penetrating mechanism (48 vs. 26%, p=0.034) and transported by ground (49 vs. 27%, p=0.036) than their counterparts. There were no differences in study group allocation, transfusion volumes or mortality.
Conclusion: In this EFIC trial, 25% of patients were injured or lived in areas where CC was performed. While CC cannot reach all potential patients in emergency research settings, we have demonstrated that high-risk areas can be identifiedand targeted to cover patients likely to be screened and enrolled for such studies. Our CC process was able to over-sample and engage communities at risk for health and healthcare disparities.