EMS utilization predictors in a Mobile Integrated Health (MIH) program

Abstract Background The provision of unnecessary Emergency Medical Services care remains a challenge throughout the US and contributes to Department overcrowding, delayed services lower quality care. New EMS models have shown promise in improving access health for patients who do not need urgent goals this study were (1) identify factors associated with utilization (911) (2) their effects on total calls transports an MIH program. Methods sample included 110 referred program or considered high-users between November 2016 September 2018. employed descriptive statistics Poisson regressions estimate covariates transports. Results typical enrollee is 60-year-old single Black male living two other individuals. He has PCP, takes 12 medications compliant his treatment. likelihood calling and/or being transported by was higher males, at high risk falls, asthma/COPD, psychiatric behavioral illnesses, longer travel times PCP. Each prescribed medication increased 4%. achieved clear reductions 911 savings more than 140,000 USD first month. Conclusions This shows that age, marital status, fall scores, number medications, psychiatric/behavioral illness, CHF, CVA/stroke compliance may be good predictors use setting. programs can help control reduce both