Evaluating Social Determinants of Health in a Mobile Integrated Healthcare-Community Paramedicine Program.

In 2018, the University of Maryland Medical Center and the Baltimore City Fire Department implemented a community paramedicine program to help medically or socially complex patients transition from hospital to home and avoid hospital utilization. This study describes how patients' social determinants of health (SDoH) needs were identified, and measures the association between needs and hospital utilization. SDoH needs were categorized into ten domains. Multinomial logistic regression was used to measure association between identified SDoH domains and predicted risk of readmission. Poisson regression was used to measure association between SDoH domains and actual 30-day hospital utilization. The most frequently identified SDoH needs were in the Coordination of Healthcare (37.7%), Durable Medical Equipment (18.8%), and Medication (16.3%) domains. Compared with low-risk patients, patients with an intermediate risk of readmission were more likely to have needs within the Coordination of Healthcare (RRR [95% CI] 1.12 [1.01, 1.24], p = 0.032) and Durable Medical Equipment (RRR = 1.13 [1.00, 1.27], p = 0.046) domains. Patients with the highest risk for readmission were more likely to have needs in the Utilities domain (RRR = 1.76 [0.97, 3.19], p = 0.063). Miscellaneous domain needs, such as requiring a social security card, were associated with increased 30-day hospital utilization (IRR = 1.23 [0.96, 1.57], p = 0.095). SDoH needs within the Coordination of Healthcare, Durable Medical Equipment, and Utilities domains were associated with higher predicted 30-day readmission, while identification documentation and social services needs were associated with actual readmission. These results suggest where to allocate resources to effectively diminish hospital utilization.

Evaluating the Impact of a Mobile Integrated Health‒Community Paramedicine Program on Health-Related Social Needs and Hospital Readmissions.

OBJECTIVE: Evaluate a mobile integrated health-community paramedicine program's effect on addressing health-related social needs and their association with hospital readmissions. METHODS: This observational study enrolled 1,003 patients from 5/4/2018-7/23/21. Descriptive statistics summarize social needs. A Poisson regression model examined the association of interventions for social needs with 30-day readmissions. RESULTS: Patients who had their medication-related needs fully addressed had a 65% lower rate of total 30-day readmission compared with patients who had no such needs fully addressed (IRR=0.35, 95% CI 0.18-0.68, P=.002). No variables reached statistical significance related to unplanned 30-day readmissions, aside from the HOSPITAL Score. CONCLUSIONS: Assisting patients with medication-related needs is associated with reductions in overall 30-day readmissions. Interventions within most domains were not associated with reductions in overall or unplanned 30-day readmissions. This program had greater success addressing needs with one-step interventions, suggesting additional time and resources may be necessary to address complex social needs.

Analysis of an Alternative Model of Definitive Care For Low-Acuity Emergency Calls: A Natural Experiment.

BACKGROUND: Emergency medical services (EMS) diversion strategies attempt to limit the impact of low-acuity care on emergency department (ED) crowding, but evidence supporting these strategies is scarce. OBJECTIVE: This study aims to measure the effect of a treat-in-place and alternative destination program on ED transports and EMS utilization. METHODS: We used a natural experiment study design to measure effects of a pilot prehospital diversion program on ED transport, number of EMS vehicles dispatched, and EMS time on task for low-acuity emergency calls in a midsized urban setting characterized by a high prevalence of health disparities, concentrated poverty, and limited access to primary care between October 2018 and January 2020. We also used direct variable cost to estimate the return on investment attributable to avoided ED visits. RESULTS: Of 3725 calls that met eligibility criteria, the program responded to 1084 (29.1%), with 56.7% of those resulting in an ED visit, compared with 64.6% of the 492 control calls that were eligible but were dispatched when program services were unavailable. Of 1084 calls receiving response, 213 (19.6%) were enrolled in the program, and 8.5% of those were transported by EMS to the ED. Adjusted results show EMS time on task was 23.4 min less for enrolled calls vs. controls. The program can achieve a positive return on investment by enrolling 2.9 patients/day. CONCLUSIONS: A prehospital diversion program reduced ED visits and EMS transport times. Improved targeting of patients for enrollment would further increase the intervention's efficacy and cost savings.