David Marcozzi

Objective: To measure the effect of a mobile integrated health community paramedicine (MIH‐CP) transitional care program on hospital utilization, emergency department visits, and charges.Data Sources: Retrospective secondary data from the electronic health record and regional health information exchange were used to analyze patients discharged from a large academic medical center and an affiliated community hospital in Baltimore, Maryland, May 2018–October 2019.Study Design: We performed an observational study comparing patients enrolled in an MIH‐CP program to propensity‐matched controls. Propensity scores were calculated using measures of demographics, clinical characteristics, social determinants of health, and prior health care utilization. The primary outcome is inpatient readmission within 30 days of discharge. Secondary outcomes include excess days in acute care 30 days after discharge and emergency department visits, observation hospitalizations, and total health care charges within 30 and 60 days of discharge.Data Collection: Included patients were over 18 years old, discharged to home from internal/family medicine services, and live in eligible ZIP codes. The intervention group was enrolled in the MIH‐CP program; controls met inclusion criteria but were not enrolled during the study period.Principal Findings: The adjusted model showed no difference in 30‐day inpatient readmission between 464 enrolled patients and propensity‐matched controls (adjusted incidence rate ratio = 1.19, 95% confidence interval [CI] [0.89, 1.60]). There was a higher rate of observation hospitalizations within 30 days of index discharge for MIH‐CP patients (adjusted incidence rate ratio = 1.78, 95% CI = [1.01, 3.14]). This difference did not persist at 60 days, and there were no differences in other secondary outcomes.Conclusions: We found no significant difference in short‐term health care utilization or charges between patients enrolled in an MIH‐CP transitional care program and propensity‐matched controls. This highlights the importance of well‐controlled, robust evaluations of effectiveness in novel care‐delivery systems.

EXECUTIVE SUMMARY: This article describes the use and findings of the Hospital Medical Surge Preparedness Index (HMSPI) tool to improve the understanding of hospitals’ ability to respond to mass casualty events such as the COVID-19 pandemic. For this investigation, data from the U.S. Census Bureau, the Dartmouth Atlas Project, and the 2005 to 2014 annual surveys of the American Hospital Association (AHA) were analyzed. The HMSPI tool uses variables from the AHA survey and the other two sources to allow facility, county, and referral area index calculations. Using the three data sets, the HMSPI also allows for an index calculation for per capita ratios and by political (state or county) boundaries. In this use case, the results demonstrated increases in county and state HMSPI scores through the period of analysis; however, no statistically significant difference was found in HMSPI scores between 2013 and 2014. The HMSPI builds on the limited scientific foundation of medical surge preparedness and could serve as an objective and standardized measure to assess the nation’s medical readiness for crises such as the COVID-19 pandemic and other large-scale emergencies such as mass shootings. Future studies are encouraged to refine the score, assess the validity of the HMSPI, and evaluate its relevance in response to future legislative and executive policies that affect preparedness measures.

To generate a Hospital Medical Surge Preparedness Index that can be used to evaluate hospitals across the United States in regard to their capacity to handle patient surges during mass casualty events. Data from the American Hospital Association’s annual survey, conducted from 2005 to 2014. Our sample comprised 6239 hospitals across all 50 states, with an annual average of 5769 admissions. An extensive review of the American Hospital Association survey was conducted and relevant variables applicable to hospital inpatient services were extracted. Subject matter experts then categorized these items according to the following subdomains of the “Science of Surge” construct: staff, supplies, space, and system. The variables within these categories were then analyzed through exploratory and confirmatory factor analyses, concluding with the evaluation of internal reliability. Based on the combined results, we generated individual (by hospital) scores for each of the four metrics and an overall score. The exploratory factor analysis indicated a clustering of variables consistent with the “Science of Surge” subdomains, and this finding was in agreement with the statistics generated through the confirmatory factor analysis. We also found high internal reliability coefficients, with Cronbach’s alpha values for all constructs exceeding 0.9. A novel Hospital Medical Surge Preparedness Index linked to hospital metrics has been developed to assess a health care facility’s capacity to manage patients from mass casualty events. This index could be used by hospitals and emergency management planners to assess a facility’s readiness to provide care during disasters.

Traditional approaches to assessing the health of populations focus on the use of primary care and the delivery of care through patient-centered homes, managed care resources, and accountable care organizations. The use of emergency departments (EDs) has largely not been given consideration in these models. Our study aimed to determine the contribution of EDs to the health care received by Americans between 1996 and 2010 and to compare it with the contribution of outpatient and inpatient services using National Hospital Ambulatory Medical Care Survey and National Hospital Discharge Survey databases. We found that EDs contributed an average of 47.7% of the hospital-associated medical care delivered in the United States, and this percentage increased steadily over the 14-year study period. EDs are a major source of medical care in the United States, especially for vulnerable populations, and this contribution increased throughout the study period. Including emergency care within health reform and population health efforts would prove valuable to supporting the health of the nation.