Mobile integrated health-community paramedicine programs' effect on emergency department visits: An exploratory meta-analysis.

INTRODUCTION: Mobile Integrated Health Community Paramedicine (MIH-CP) programs are designed to increase access to care and reduce Emergency Department (ED) and Emergency Medical Services (EMS) usage. Previous MIH-CP systematic reviews reported varied interventions, effect sizes, and a high prevalence of biased methods. We aimed to perform a meta-analysis on MIH-CP effect on ED visits, and to evaluate study designs' effect on reported effect sizes. We hypothesized biased methods would produce larger reported effect sizes. METHODS: We searched Pubmed, Embase, CINAHL, and Scopus databases for peer-reviewed MIH-CP literature from January 1, 2000, to July 24, 2021. We included all full-text English studies whose program met the National Associations of Emergency Medical Technicians definition, reported ED visits, and had an MIH-CP related intervention and outcome. We established risk ratios for each included study through interpreting the reported data. We performed a random-effects and cumulative meta-analysis of ED visit data, tests of heterogeneity, and a moderator analysis to assess for factors influencing the magnitude of observed effect. RESULTS: We identified 16 studies that reported ED visit data and included 12 in our meta-analysis. All studies were observational; 3 used matched controls, 6 pre-post controls, and 3 without controls. 7 studies' intervention were diversion/triage while 5 studies intervened with health education/home primary care services. Pooled risk ratio for our data set was 0.56 (95% confidence interval 0.42-0.74). Cumulative meta-analysis revealed that as of 2018 MIH-CP programs began to show consistent reductions in ED visits. Significant heterogeneity was seen among studies, with I-squared >90%. Moderator analysis showed reduced heterogeneity for matched-control studies. CONCLUSION: Our data revealed MIH-CP programs were associated with a reduced risk of ED visits. Study design did not have a statistically significant influence on effect size, though it did influence heterogeneity. We would recommend future studies continue to use high levels of control to produce reliable data with lower heterogeneity.

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.

Impact of a mobile integrated healthcare and community paramedicine program on improving medication adherence in patients with heart failure and chronic obstructive pulmonary disease after hospital discharge: A pilot study.

Background: The mobile integrated health-community paramedicine (MIH-CP) program affiliated with the University of Maryland Medical Center focuses on improving patient transitions from hospital to home by addressing both medical and social determinants of health. Until recently, only self-contained health systems could integrate inpatient and outpatient medication data. Without some means to track patients in transition, there is a significant risk of medication-related problems and errors. Objective: To evaluate the impact of the MIH-CP program on medication adherence among patients with congestive heart failure (CHF) and/or chronic obstructive pulmonary disease (COPD). Methods: This is a pilot observational study designed to compare adherence to drug regimens prescribed at hospital discharge (measured by the proportion of days covered [PDC]) between patients enrolled in the MIH-CP program and a propensity-matched control group. Propensity scores were calculated using 11 demographic, diagnostic, third-party payer, and patient care-associated variables. Discharge medication details were obtained from electronic medical records. PDC for each of the medications were calculated from pharmacy claims data. Results: Eighty-three patients were included in the study; forty-three patients were placed in the intervention group and 40 were propensity-matched controls. After adjusting for age, sex, and third-party payer, findings indicated that medication adherence was higher among patients enrolled in the MIH-CP program compared with control during the first 30 days post-discharge, specifically among patients diagnosed with CHF (8% difference in PDC, 95% confidence interval [CI], -0.12-0.28%) and COPD (14% difference, 95% CI, -0.15-0.43%), although neither result achieved statistical significance. The differences in medication adherence between patients who were enrolled and those who were not enrolled in the MIH-CP program diminished after 30 days post-discharge. Conclusion: This pilot study demonstrated a trend toward improved medication adherence among patients enrolled in the MIH-CP program. Future research involving a larger patient cohort will be required to confirm these preliminary findings.

A Systematic Review of Methodologies and Outcome Measures of Mobile Integrated Health-Community Paramedicine Programs.

INTRODUCTION: Mobile integrated health-community paramedicine (MIH-CP) uses patient-centered, mobile resources in the out-of-hospital environment to increase access to care and reduce unnecessary emergency department (ED) usage. The objective of this systematic review is to characterize the outcomes and methodologies used by MIH-CP programs around the world and assess the validity of the ways programs evaluate their effectiveness. METHODS: The PubMed, Embase, CINAHL, and Scopus databases were searched for peer-reviewed literature related to MIH-CP programs. We included all full-length studies whose programs met the National Association of Emergency Medical Technicians definition, had MIH-CP-related interventions, and measured outcomes. We excluded all non-English papers, abstract-only, and incomplete studies. RESULTS: Our initial literature review identified 6434 titles. We screened 178 full-text studies to assess for eligibility and identified 33 studies to include in this review. These 33 include four randomized controlled trials, 17 cohort studies, eight 8 case series, and four 4 cross-sectional studies. Of the 29 non-randomized trials, five used matched controls, 13 used pre-post, and 11 used no controls. Outcomes measured were hospital usage (24 studies), ED visits (15), EMS usage (23), patient satisfaction (8), health-related outcomes (8), and cost (9). Studies that evaluated hospital usage reported one of several outcome measures: hospital admissions (11), ED length of stay (3), and hospital readmission rate (2). EMS usage was measured by ambulance transports (12) and EMS calls (10). Cost outcomes observed were ambulance transport savings (7), ED visit savings (4), hospital admission savings (3), and cost per quality-adjusted life year (2). CONCLUSION: Most studies assessing MIH-CP programs reported success of their interventions. However, significant heterogeneity of outcome measures and varying quality of study methodologies exist among studies. Future studies designed with adequately matched controls and applying uniform core metrics for cost savings and health care usage are needed to better evaluate the effectiveness of MIH-CP programs.

Analysis of Readmissions in a Mobile Integrated Health Transitional Care Program Using Root Cause Analysis and Common Cause Analysis.

ABSTRACT: Mobile integrated health and community paramedicine (MIH-CP) programs are gaining popularity in the United States as a strategy to address the barriers to healthcare access and appropriate utilization. After one year of operation, leadership of Baltimore City's MIH-CP program was interested in understanding the circumstances surrounding readmission for enrolled patients and to incorporate quality improvement tools to direct program development. Retrospective chart review was performed to determine preventable versus unpreventable readmissions with a hypothesis that deficits in social determinants of health would play a more significant role in preventable readmissions. In the studied population, at least one root cause that can be considered a social determinant of health was present in 75.8% of preventable readmissions versus only 15.2% of unpreventable readmissions. Root Cause Analysis highlighted health literacy, functional status, and behavioral health issues among the root causes that most heavily influence preventable readmissions. Common Cause Analysis results suggest our MIH-CP program should focus its resources on mitigating poor health literacy and functional status. This project's findings successfully directed leadership of the city's MIH-CP program to modify program processes and advocate for the use of these quality improvement tools for other MIH-CP programs.

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.

The effect of a mobile integrated health program on health care cost and utilization.

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.

Development of a Logic Model to Guide Implementation and Evaluation of a Mobile Integrated Health Transitional Care Program.

To provide medical and social services to underserved communities, many health care organizations across the United States have expanded the role of emergency medical services to include mobile integrated health and community paramedicine (MIH-CP). Although MIH-CP programs differ in structure and setting, many share the common goal of improving health through home-based, patient-centered care management models. Ideally, these innovative programs reduce use of health care services, including 911 (US emergency system) calls and emergency department visits. In 2018 a large, urban academic medical center partnered with the city's fire department to establish an MIH-CP program to support patients as they transition in their first 30 days at home after hospitalization. Prior to launch, a multidisciplinary team developed a logic model to guide development, implementation, and evaluation of this complex and innovative program. This paper describes the team's structured process for developing a logic model. It also describes key components of the initial logic model and the Transitional Health Support program structure, as well as subsequent revisions to both.

Innovative Use of Emergency Medicine Providers in an Urban Setting to Reduce Overutilization of 9-1-1.

BACKGROUND: Emergency Departments (ED) and Emergency Medical Services (EMS) are relied on to address nonemergent needs causing long ED wait times. Baltimore City EMS provided over 100,000 transports, many for low-acuity medical needs. OBJECTIVE: Minor Definitive Care Now (MDCN) is designed to address low-acuity complaints and decrease ED visits. MDCN provides low-acuity 9-1-1 callers the option of on-scene evaluation and treatment. For patients requiring additional resources, but not needing an ED, an alternate destination is considered. METHODS: Patients were screened low acuity by EMS personnel and voluntarily enrolled in MDCN. A questionnaire was given to patients after their visit to assess satisfaction. CRISP, a database for hospital visits in Maryland, was reviewed to assess if patients went to the ED after an MDCN visit. RESULTS: In 1 year of service, 168 calls were screened, with 144 patients consenting to treatment by the MDCN team. Of enrolled patients: 94 (65%) were treated on the scene, 37 (26%) were transported to an urgent care facility, 1 (0.6%) was transported to their primary care provider for a same-day appointment, and 12 (8.4%) were transported to the ED after further evaluation. Of the 94 patients treated on scene, 3 (3.2%) presented to a local ED in the surrounding area within 72 h. On review, there were no safety issues identified or deficits in the clinical care provided on scene. CONCLUSION: This innovative model of on-scene evaluation and treatment can potentially reduce transports, decrease ED wait times, and reduce costs, in an effective and efficient way.