Bell, Sarah J.

Acute kidney injury (AKI) survivors have a dynamic posthospital course which warrants close monitoring. Remote patient monitoring (RPM) could be used to improve quality and efficiency of AKI survivor care. Objective: The objective of this report was to describe the development and preliminary feasibility of an AKI RPM program launched in October 2021. Setting: Academic medical center. Patients: Patients enrolled in the AKI RPM program were those who experienced AKI during a hospitalization and underwent nephrology consultation. Measurements/Methods: At enrollment, patients were provided with home monitoring technology and underwent weekly laboratory assessments. Nurses evaluated the data daily and adhered to prespecified protocols for management and escalation of care if needed. Results: Twenty patients were enrolled in AKI RPM in the first 5 months. Median duration of program participation was 36 (31, 40) days. Eight patients (40%) experienced an unplanned readmission, or an emergency department visit, half (N = 4) of which were attributed to AKI and related circumstances. Of the 9 postgraduation survey respondents, all were satisfied with the RPM program and 89% would recommend RPM to other patients with similar health conditions. Limitations: Acute kidney injury RPM was made possible by the existing infrastructure in our integrated health system and the robust resources available in the Mayo Clinic Center for Digital Health. Such infrastructure may not be universally available which could limit scale and generalizability of such a program. Conclusions: Remote patient monitoring can offer a unique opportunity to bridge the care transition from hospital to home and increase access to quality care for the AKI survivors.

AbstractObjectiveTo evaluate the impact of a virtual registered nurse (ViRN) model on safety and care outcomes. ViRN is a telemedicine intervention that enables an experienced virtual nurse to assist the in‐person care team in providing care to patients.Data Sources and Study SettingElectronic health records data were utilized from the Mayo Clinic during the intervention (December 2020–November 2021) and historical periods (December 2018–November 2019). ViRN was implemented on general medical units at the Mayo Clinic Rochester. We used general medical units at the Mayo Clinic Arizona as the comparison group.Study DesignThis study used a difference‐in‐differences design to evaluate the impact of ViRN compared to usual care on transfer to the intensive care unit (ICU), inpatient mortality, and length of stay (LOS). We used logistic regression for transfer to the ICU and inpatient mortality and negative binomial regression for LOS. We controlled for demographics, patient interaction with the health system, clinical characteristics, and admission characteristics. We clustered standard errors to account for patients who have multiple admissions during the study period.Principal FindingsThere were no significant differences for transfer to the ICU (average marginal effect (AME) −0.08 percentage point [95% confidence interval (CI): −1.34, 1.18]), inpatient mortality (AME 0.43 percentage point [95% CI: −0.33, 1.18]), or LOS (AME −0.20 days [95% CI: −0.57, 0.17]). The findings were mostly consistent across the sensitivity analyses.ConclusionsOur results suggest that ViRN led to similar outcomes as usual care in general medical units. These findings support the potential to develop more advanced models of ViRN at the Mayo Clinic and the dissemination of the ViRN model to other systems. In the context of staffing shortages and other disruptions to the delivery of nursing care, it is critical to understand whether new models like ViRN provide nurse staffing alternatives without negatively affecting outcomes.

Background The COVID-19 pandemic increased the number of patients requiring intensive care nation-wide, leading to nurse staffing shortages in many units. Local Problem At the beginning of the statewide COVID-19 surge, a tertiary teaching hospital in the upper Midwest experienced a sharp increase in patients needing intensive care. To relieve the resulting staffing shortage, it implemented a pilot program to bring general care nurses into its 21-bed mixed specialty intensive care unit to free intensive care unit nurses to help staff the hospital’s COVID-designated units. Methods Using a team nursing model, the intensive care unit recruited, oriented, and incorporated 13 general care nurses within 4 days. Education and resources were developed to distinguish team nurses from intensive care unit nurses, introduce them to the intensive care unit environment, outline expectations, communicate between team nursing pairs, and guide charge nurses in making staffing decisions and assignments. Staff feedback identified additional resources, barriers, and successes. An adaptive process was used to improve and update tools and resources on the basis of staff needs. Results The pilot program ran for 6 weeks. Positive outcomes included a reduced need for float nurses and self-perceived reduction in nursing workload. The principal barrier was charge nurses’ challenges involving staffing-to-workload balance based on the existing staffing model. This model identified productivity of a general care nurse and an intensive care unit nurse as equivalent, despite differences in their skill sets. Conclusion Team nursing in the intensive care unit is an agile tactic easily replicated in dire staffing situations.

Abstract Background Residents of nursing homes and long‐term care facilities are at increased risk for severe coronavirus disease‐19 (COVID‐19) but may not be able to access monoclonal antibody therapies offered at outpatient infusion centers due to frailty and logistical issues. We describe a mobile monoclonal antibody infusion program for patients with COVID‐19 in skilled nursing facilities and provide descriptive data on its outcomes. Design Retrospective cohort study. Setting Collaboration between Mayo Clinic and skilled nursing facilities in Southeast Minnesota was developed to administer anti‐spike monoclonal antibodies under the FDA Emergency Use Authorization. Participants Seventy five residents of skilled nursing facilities at high risk of COVID‐19 complications. Exposure Emergency use treatment with bamlanivimab and casirivimab–imdevimab. Measurements Hospitalization and medically attended visits. Results The mobile infusion unit, staffed by Mayo Clinic Infusion Therapy registered nurses and supported by the skilled nursing facility staff, infused anti‐spike monoclonal antibodies to 45 of 75 patients (average age, 77.8 years) in December 2020. The infusions occurred at an average of 4.3 days after COVID‐19 diagnosis. Fourteen days after infusion, there were no deaths, two emergency department visits, and three hospitalizations, for a combined event rate of 11.1%. There was one reported adverse event. Conclusion The implementation of a mobile infusion unit embedded in a collaborative process resulted in rapid infusion of monoclonal antibodies to high‐risk COVID‐19 patients in skilled nursing facilities, who would otherwise be unable to access the novel therapies. The therapies were well tolerated and appear beneficial. Further study is warranted to explore the scalability and efficacy of this program.