Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study

BACKGROUND

As providers look to scale high-acuity care in the patient home setting, hospital-at-home is becoming more prevalent. The traditional model of hospital-at-home usually relies on care delivery by in-home providers, caring for patients in urban communities through academic medical centers. Our objective is to describe the process and outcomes of Mayo Clinic's Advanced Care at Home (ACH) program, a hybrid virtual and in-person hospital-at-home model combining a single, virtual provider-staffed command center with a vendor-mediated in-person medical supply chain to simultaneously deliver care to patients living near an urban hospital-at-home command center and patients living in a rural region in a different US state and time zone.

METHODS

A descriptive, retrospective medical records review of all patients admitted to ACH between July 6, 2020, and December 31, 2021. Patients were admitted to ACH from an urban academic medical center in Florida and a rural community hospital in Wisconsin. We collected patient volumes, age, sex, race, ethnicity, insurance type, primary hospital diagnosis, 30-day mortality rate, in-program mortality, 30-day readmission rate, rate of return to hospital during acute phase, All Patient Refined-Diagnosis Related Groups (APR-DRG) Severity of Illness (SOI), and length of stay (LOS) in both the inpatient-equivalent acute phase and post-acute equivalent restorative phase.

RESULTS

Six hundred and eighty-six patients were admitted to the ACH program, 408 in Florida and 278 in Wisconsin. The most common diagnosis seen were infectious pneumonia (27.0%), septicemia / bacteremia (11.5%), congestive heart failure exacerbation (11.5%), and skin and soft tissue infections (6.3%). Median LOS in the acute phase was 3 days (IQR 2-5) and median stay in the restorative phase was 22 days (IQR 11-26). In-program mortality rate was 0% and 30-day mortality was 0.6%. The mean APR-DRG SOI was 2.9 (SD 0.79) and the 30-day readmission rate was 9.7%.

CONCLUSIONS

The ACH hospital-at-home model was able to provide both high-acuity inpatient-level care and post-acute care to patients in their homes through a single command center to patients in urban and rural settings in two different geographical locations with favorable outcomes of low mortality and hospital readmissions.

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.

Feasibility of the Transport PLUS intervention to improve the transitions of care for patients transported home by ambulance: a non-randomized pilot study

Background

The growing population of patients over the age of 65 faces particular vulnerability following discharge after hospitalization or an emergency room visit. Specific areas of concern include a high risk for falls and poor comprehension of discharge instructions. Emergency medical technicians (EMTs), who frequently transport these patients home from the hospital, are uniquely positioned to aid in mitigating transition of care risks and are both trained and utilized to do so using the Transport PLUS intervention.

Methods

Existing literature and focus groups of various stakeholders were utilized to develop two checklists: the fall safety assessment (FSA) and the discharge comprehension assessment (DCA). EMTs were trained to administer the intervention to eligible patients in the geriatric population. Using data from the checklists, follow-up phone calls, and electronic health records, we measured the presence of hazards, removal of hazards, the presence of discharge comprehension issues, and correction or reinforcement of comprehension. These results were validated during home visits by community health workers (CHWs). Feasibility outcomes included patient acceptance of the Transport PLUS intervention and accuracy of the EMT assessment. Qualitative feedback via focus groups was also obtained. Clinical outcomes measured included 3-day and 30-day readmission or ED revisit.

Results

One-hundred three EMTs were trained to administer the intervention and participated in 439 patient encounters. The intervention was determined to be feasible, and patients were highly amenable to the intervention, as evidenced by a 92% and 74% acceptance rate of the DCA and FSA, respectively. The majority of patients also reported that they found the intervention helpful (90%) and self-reported removing 40% of fall hazards; 85% of such changes were validated by CHWs. Readmission/revisit rates are also reported.

Conclusions

The Transport PLUS intervention is a feasible, easily implemented tool in preventative community paramedicine with high levels of patient acceptance. Further study is merited to determine the effectiveness of the intervention in reducing rates of readmission or revisit. A randomized control trial has since begun utilizing the knowledge gained within this study.

A pilot mobile integrated healthcare program for frequent utilizers of emergency department services

PURPOSE

To examine whether or not a mobile integrated health (MIH) program may improve health-related quality of life while reducing emergency department (ED) transports, ED admissions, and inpatient hospital admissions in frequent utilizers of ED services.

METHODS

A small retrospective evaluation assessing pre- and post-program quality of life, ED transports, ED admissions, and inpatient hospital admissions was conducted in patients who frequently used the ED for non-emergent or emergent/primary care treatable conditions.

RESULTS

Pre- and post-program data available on 64 program completers are reported. Of those with mobility problems (n=42), 38% improved; those with problems performing usual activities (N=45), 58% reported improvement; and of those experiencing moderate to extreme pain or discomfort (N=48), 42% reported no pain or discomfort after program completion. Frequency of ED transports decreased (5.34±6.0 vs. 2.08±3.3; p <0.000), as did ED admissions (9.66±10.2 vs. 3.30±4.6; p<0.000), and inpatient hospital admissions (3.11±5.5 vs. 1.38±2.5; p=0.003).

CONCLUSION

Results suggest that MIH participation is associated with improved quality of life, reduced ED transports, ED admissions, and inpatient hospital admissions. The MIH program may have potential to improve health outcomes in patients who are frequent ED users for non-emergent or emergent/primary care treatable conditions by teaching them how to proactively manage their health and adhere to therapeutic regimens. Programmatic reasons for these improvements may include psychosocial bonding with participants who received in-home care, health coaching, and the MIH team's 24/7 availability that provided immediate healthcare access.