Development and Implementation of an Acute Kidney Injury Remote Patient Monitoring Program: Research Letter.

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.

Les survivants d'un épisode d'insuffisance rénale aiguë (IRA) ont un parcours post-hospitalier dynamique qui justifie une surveillance étroite. La télésurveillance des patients (TSP) pourrait être employée pour améliorer la qualité et l'efficacité des soins pour les survivants de l'IRA. Objectif: L'objectif de ce rapport était de décrire le développement et la faisabilité préliminaire d'un programme de TSP-IRA (télésurveillance des patients atteints d'IRA) en octobre 2021. Cadre: Centre médical universitaire. Sujets: Les patients inscrits au programme de TSP-IRA étaient des patients qui avaient vécu un épisode d'IRA lors d'une hospitalisation et obtenu une consultation en néphrologie. Mesures et méthodologie: Au moment de l'inclusion, les patients ont reçu un dispositif de surveillance à domicile et se sont soumis à des évaluations de laboratoire hebdomadaires. Les infirmières ont évalué les données quotidiennement et ont respecté des protocoles prédéfinis pour la gestion et l'escalade des soins si nécessaire. Résultats: Vingt patients ont été inclus dans le programme de TSP-IRA au cours des cinq premiers mois. La durée médiane de participation au programme était de 36 (31, 40) jours. Huit patients (40%) ont dû être réadmis de façon non planifiée ou ont dû faire une visite aux urgences; pour la moitié d'entre eux (N = 4) en raison de l'IRA et de circonstances connexes. Parmi les neuf répondants qui ont répondu au sondage à la complétion du programme, tous se sont dits satisfaits du programme de TSP et 89% le recommanderaient à d'autres patients ayant des problèmes de santé similaires. Limites: Le programme de TSP-IRA a été rendu possible grâce à l'infrastructure existante dans notre système de santé intégré et aux ressources robustes disponibles au Mayo Clinic Center for Digital Health. Une telle infrastructure n'est peut-être pas universellement disponible, ce qui pourrait limiter l'ampleur et la généralisabilité d'un tel programme. Conclusion: La TSP peut offrir une occasion unique de faciliter la transition des soins entre l'hôpital et le domicile et d'accroître l'accès à des soins de qualité pour les survivants d'un épisode d'IRA.

Interface of Clinical Nurse Specialist Practice and Healthcare Technology.

PURPOSE: This article demonstrates the leadership role of the clinical nurse specialist in developing and implementing healthcare technology across the continuum of care. DESCRIPTION: Three virtual nursing practices-facilitated self-care, remote patient monitoring, and virtual acute care nursing-illustrate how the clinical nurse specialist is well suited to transform traditional practice models to ones that use healthcare technology effectively. These 3 practices use interactive healthcare technology to gather patient data and allow communication and coordination with the healthcare team to meet patient-specific needs. OUTCOME: Use of healthcare technology in virtual nursing practices led to early care team intervention, optimized care team processes, proactive patient outreach, timely access to care, and reduction in healthcare-associated errors and near-miss events. CONCLUSION: Clinical nurse specialists are well positioned to develop innovative, effective, accessible, and high-quality virtual nursing practices. Integrating healthcare technology with nursing practice augments care for various patients, ranging from those with low illness severity in the outpatient setting to acutely ill patients in the inpatient hospital environment.

Implementation of a multisite, interdisciplinary remote patient monitoring program for ambulatory management of patients with COVID-19.

Established technology, operational infrastructure, and nursing resources were leveraged to develop a remote patient monitoring (RPM) program for ambulatory management of patients with COVID-19. The program included two care-delivery models with different monitoring capabilities supporting variable levels of patient risk for severe illness. The primary objective of this study was to determine the feasibility and safety of a multisite RPM program for management of acute COVID-19 illness. We report an evaluation of 7074 patients served by the program across 41 US states. Among all patients, the RPM technology engagement rate was 78.9%. Rates of emergency department visit and hospitalization within 30 days of enrollment were 11.4% and 9.4%, respectively, and the 30-day mortality rate was 0.4%. A multisite RPM program for management of acute COVID-19 illness is feasible, safe, and associated with a low mortality rate. Further research and expansion of RPM programs for ambulatory management of other acute illnesses are warranted.

Association of a Remote Patient Monitoring (RPM) Program With Reduced Hospitalizations in Cancer Patients With COVID-19.

PURPOSE: The goal of this study was to assess the impact of an interdisciplinary remote patient monitoring (RPM) program on clinical outcomes and acute care utilization in cancer patients with COVID-19. METHODS: This is a cross-sectional analysis following a prospective observational study performed at Mayo Clinic Cancer Center. Adult patients receiving cancer-directed therapy or in recent remission on active surveillance with polymerase chain reaction-confirmed SARS-CoV-2 infection between March 18 and July 31, 2020, were included. RPM was composed of in-home technology to assess symptoms and physiologic data with centralized nursing and physician oversight. RESULTS: During the study timeframe, 224 patients with cancer were diagnosed with COVID-19. Of the 187 patients (83%) initially managed in the outpatient setting, those who did not receive RPM were significantly more likely to experience hospitalization than those receiving RPM. Following balancing of patient characteristics by inverse propensity score weighting, rates of hospitalization for RPM and non-RPM patients were 2.8% and 13%, respectively, implying that the use of RPM was associated with a 78% relative risk reduction in hospital admission rate (95% CI, 54 to 102; P = .002). Furthermore, when hospitalized, these patients experienced a shorter length of stay and fewer prolonged hospitalizations, intensive care unit admissions, and deaths, although these trends did not reach statistical significance. CONCLUSION: The use of RPM and a centralized virtual care team was associated with a reduction in hospital admission rate and lower overall acute care resource utilization among cancer patients with COVID-19.

Improving Glycemic Control and Insulin Ordering Efficiency for Hospitalized Patients With Diabetes Through Carbohydrate Counting.

Glycemic control in hospitalized patients is challenging but important for optimal outcomes. Insulin dosing through carbohydrate counting may address patient, provider, and institutional factors that complicate hospital glycemic management. On two surgical units at a tertiary care teaching hospital, we pilot tested postmeal insulin dosing based on carbohydrate counting (plus basal insulin) rather than the current process of ordering scheduled premeal insulin without knowledge of the patient's consumption. Analysis assessed hyperglycemia, hypoglycemia, insulin orders, and nurse and provider satisfaction and confidence. On general surgery, mean glucose level improved from 188 to 137 mg/dl (p < .001). On cardiovascular surgery, mean glucose improved only mildly from 177 to 175 mg/dl (p < .28). No hypoglycemia was reported. Efficiency of mealtime insulin dosing improved through reduced average number of insulin orders per meal from 1.1 to 0.09. Process satisfaction improved for providers (preintervention, 60%; postintervention, 100%), general surgery nurses (preintervention, 72%; postintervention, 100%), and cardiovascular surgery nurses (preintervention, 69%; postintervention, 84%). Confidence in insulin dose accuracy improved for providers (preintervention, 50%; postintervention, 100%), general surgery nurses (preintervention, 59%; postintervention, 100%), and cardiovascular surgery nurses (preintervention, 48%; postintervention, 84%). Carbohydrate counting is effective and efficient and improved staff satisfaction and confidence in hospital mealtime insulin dosing.

Mealtime Insulin Dosing by Carbohydrate Counting in Hospitalized Cardiology Patients: A Retrospective Cohort Study.

BACKGROUND: Carbohydrate counting may improve glycemic control in hospitalized cardiology patients by providing individualized insulin doses tailored to meal consumption. The purpose of this study was to compare glycemic outcomes with mealtime insulin dosed by carbohydrate counting versus fixed dosing in the inpatient setting. MATERIALS AND METHODS: This single-center retrospective cohort study included 225 adult medical cardiology patients who received mealtime, basal, and correction-scale insulin concurrently for at least 72 h and up to 7 days in the interval March 1, 2010-November 7, 2013. Mealtime insulin was dosed by carbohydrate counting or with fixed doses determined prior to meal intake. An inpatient diabetes consult service was responsible for insulin management. Exclusion criteria included receipt of an insulin infusion. The primary end point compared mean daily postprandial glucose values, whereas secondary end points included comparison of preprandial glucose values and mean daily rates of hypoglycemia. RESULTS: Mean postprandial glucose level on Day 7 was 204 and 183 mg/dL in the carbohydrate counting and fixed mealtime dose groups, respectively (unadjusted P=0.04, adjusted P=0.12). There were no statistical differences between groups on Days 2-6. Greater rates of preprandial hypoglycemia were observed in the carbohydrate counting cohort on Day 5 (8.6% vs. 1.5%, P=0.02), Day 6 (1.7% vs. 0%, P=0.01), and Day 7 (7.1% vs. 0%, P=0.008). No differences in postprandial hypoglycemia were seen. CONCLUSIONS: Mealtime insulin dosing by carbohydrate counting was associated with similar glycemic outcomes as fixed mealtime insulin dosing, except for a greater incidence of preprandial hypoglycemia. Additional comparative studies that include hospital outcomes are needed.

Enhancing diabetes management while teaching quality improvement methods.

Six medical units realized that they were having issues with accurate timing of bedtime blood glucose measurement for their patients with diabetes. They decided to investigate the issues by using their current staff nurse committee structure. The clinical nurse specialists and nurse education specialists decided to address the issue by educating and engaging the staff in the define, measure, analyze, improve, control (DMAIC) framework process. They found that two issues needed to be improved, including timing of bedtime blood glucose measurement and snack administration and documentation. Several educational interventions were completed and resulted in improved timing of bedtime glucose measurement and bedtime snack documentation. The nurses understood the DMAIC process, and collaboration and cohesion among the medical units was enhanced.

Perceptions and characteristics of registered nurses' involvement in decision making.

PURPOSE: This study aimed to determine the level of actual and preferred decisional involvement and ascertain whether there is decisional dissonance among registered nurses (RNs). SUBJECTS AND METHODS: A convenience sample of 196 RNs completed a demographic form and the Decisional Involvement Scale, a tool that measures actual and preferred decisional involvement for RNs in 6 categories: unit staffing, quality of professional practice, professional recruitment, unit governance and leadership, quality of support staff practice, and collaboration/liaison activities. From these data, the level of and difference between RN's actual and preferred decisional involvement was analyzed. In addition, the impact of level of education, years of experience, hours worked per pay period, and work setting on actual and preferred decisional involvement were measured. RESULTS AND CONCLUSIONS: A statistically significant difference was found between RNs' actual and preferred decisional involvement, with RNs preferring more decisional involvement than they actually experienced. Work setting was the only variable to which a difference could be attributed. Further study is warranted to find causes of decisional dissonance and interventions that could help alleviate the problem and potentially increase job satisfaction.