The Impact of a Mandated Trauma Center Alcohol Intervention on Readmission and Cost per Readmission in Arizona

Abstract

The estimates are consistent with a differential effect of SBI: SBI reduces readmissions among those who present with a less serious alcohol-related problem. Persons with more serious alcohol problems are less likely to respond to SBI. These higher risk individuals likely have a higher cost, which may explain the lack of change in readmission costs. Our study is a macrolevel intent-to-treat analysis of SBI's impact that corroborates the potential of SBI implied by efficacy studies in trauma centers and other settings. This study provides a framework for future research involving more states and health systems and evaluating other SBI policies.

Outcomes of trauma admission for falls: influence of race and age on inhospital and post-discharge mortality

“…Due to both alcohol and previous trauma admission being associated with an increased risk of future mortality in patients who are discharged alive after fall, there is a critical need to address these modifiable risk factors to reduce preventable deaths in patients surviving the initial fall. Healthcare-based trauma recidivism and alcohol interventions have been shown to be effective encouraging the continued and expanded incorporation of these services 29, 30 .…”

Prevention and public health approaches to trauma and traumatic stress: a rationale and a call to action

“…As one example, building on results from a randomized intervention that demonstrated decreases in alcohol consumption, injury recurrence, hospital readmissions, and motor vehicle violations (Gentilello et al, 1999 ), in 2007 the American College of Surgeons Committee on Trauma required all Level I trauma centers in the United States to conduct screening and brief intervention for alcohol problems. In turn, this policy resulted in a 2.2% decrease in the probability of readmission (Hinde, Bray, Aldridge, & Zarkin, 2015 ). This policy demonstrates the indirect benefits of alcohol screening and brief intervention for trauma prevention.…”

Impact of Florida's prescription drug monitoring program and pill mill law on high‐risk patients: A comparative interrupted time series analysis

“…We used a comparative interrupted time series approach to quantify the impact of Florida's laws on our outcomes while accounting for secular trends as well as the autocorrelated nature of the data. 20,25,[45][46][47] We used Georgia as a control state because of its geographical proximity, the absence of similar policy implementation during the study period, and its similarity in baseline opioid utilization trends (of note, Georgia's PDMP became operational in 2013).…”