Community Variations in Out-of-Hospital Cardiac Arrest Care and Outcomes in Texas

Impact of post-arrest care variation on hospital performance after out-of-hospital cardiac arrest

“…A mixed-effects regression model (Stata command xtmelogit) similar to our prior prehospital variation analysis 7 was then created for each outcome of interest: TTM, PCI, LHC, survival to discharge, and survival with good CPC. 7 We modeled outcome and hospital as random intercepts and adjusted each analysis for age, gender, race, bystander witnessed, initial shockable rhythm witnessed cardiac arrest, bystander CPR, and bystander AED use. As LHC and PCI are supplemental data elements, we excluded 23 hospitals treating 91 cardiac arrests from the analysis of LHC and PCI that had no reported LHC or PCI during the study period.…”

“… 6. , 7. Research implicates several factors as contributors to variations in outcomes including patient characteristics, 8 socioeconomic status of patients, 9 arrest characteristics, 10 bystander response, 11 amongst others.…”

The impact of COVID-19 on incidence and outcomes from out-of-hospital cardiac arrest (OHCA) in Texas

“…Decades of research has shown few interventions that consistently improve outcomes–early initiation of bystander cardiopulmonary resuscitation (BCPR) and automated external defibrillator use (AED)-- yet survival rates have remained relatively constant (<10%) [ [3] , [4] , [5] , [6] ]. Prior research estimates that close to half of OHCA patients receive BCPR while public AED rates hover around 9–12% [ [7] , [8] , [9] , [10] ]. As such, these are high-yield targets for public health efforts to increase interventions that are key to improving OHCA survival rates.…”