Acute Care Advanced Practice Providers' Use of Telehealth During the COVID-19 Pandemic.

Advanced practice registered nurses and physician assistants, collectively termed advanced practice providers (APPs), have been part of telehealth for many years. During the COVID-19 pandemic, APPs experienced the growth in roles, responsibilities, and tools used for telehealth care delivery. This article uses examples from 3 health systems to highlight the ways in which telehealth use was expanded due to the pandemic, how APP roles were altered across the United States during and after the pandemic, and implications for future practice.

Healthy Work Environment Standards in Tele-Critical Care Nursing.

The COVID-19 pandemic exacerbated staffing challenges in intensive care units, with increased burnout and moral distress cited as major problems. A healthy work environment is critical to nurses' success and wellbeing. During the pandemic, a survey by the American Association of Critical-Care Nurses revealed decreased composite scores in each of the 6 critical elements of a healthy work environment. Hospital units that improved even 1 critical element reported higher job satisfaction. The use of telehealth tools by expert nurses expanded care delivery during the pandemic by improving response to acutely and critically ill patients while supporting hospital-based nurses. All of the critical elements of a healthy work environment are relevant to the tele-critical care nurse's role and challenges. This article describes how tele-critical care nurses were affected by the pandemic and how healthy work environment strategies promoted successful nurse and patient outcomes.

Innovations in Tele-Critical Care Nursing During the COVID-19 Pandemic.

For decades, tele-critical care (TCC) programs have provided expert population surveillance with standardized clinical interventions for critically ill patients. The COVID-19 pandemic created massive strains on critical care resources. For this report, standard questions were used to solicit COVID-19 pandemic workflow and service modifications from a network of TCC leaders to describe the rapid expansion of TCC-supported services during the pandemic. In this article, leaders from 7 TCC programs report on the effective use of services to support changing hospital needs during the pandemic in areas such as clinical education, personal protective equipment stewardship, expansion of virtual care, and creative staffing models, among others.

Descriptive Comparison of Two Models of Tele-Critical Care Delivery in a Large Multi-Hospital Health Care System.

Introduction: The Society of Critical Care Medicine Tele-Critical Care (TCC) Committee has identified the need for rigorous comparative research of different TCC delivery models to support the development of best practices for staffing, application, and approaches to workflow. Our objective was to describe and compare outcomes between two TCC delivery models, TCC with 24/7 Bedside Intensivist (BI) compared with TCC with Private Daytime Attending Intensivist (PI) in relation to intensive care unit (ICU) and hospital mortality, ICU and hospital length of stay (LOS), cost, and complications across the spectrum of routine ICU standards of care. Methods: Observational cohort study at large health care system in 12 ICUs and included patients, ≥18, with Acute Physiology and Chronic Health Evaluation (APACHE) IVa scores and predictions (October 2016-June 2019). Results: Of the 19,519 ICU patients, 71.7% (n = 13,993) received TCC with 24/7 BI while 28.3% (n = 5,526) received TCC with PI. ICU and Hospital mortality (4.8% vs. 3.1%, p < 0.0001; 12.6% vs. 8.1%, p < 0.001); and ICU and Hospital LOS (3.2 vs. 2.4 days, p < 0.001; 9.8 vs. 7.2 days, p < 0.001) were significantly higher among 24/7 BI compared with PI. The APACHE observed/expected ratios (odds ratio [OR]; 95% confidence interval [CI]) for ICU mortality (0.62; 0.58-0.67) vs. (0.53; 0.46-0.61) and Hospital mortality (0.95; 0.57-1.48) vs. (0.77; 0.70-0.84) were significantly different for 24/7 BI compared with PI. Multivariate mixed models that adjusted for confounders demonstrated significantly greater odds of (OR; 95% CI) ICU mortality (1.58; 1.28-1.93), Hospital mortality (1.52; 1.33-1.73), complications (1.55; 1.18-2.04), ICU LOS [3.14 vs. 2.59 (1.25; 1.19-1.51)], and Hospital LOS [9.05 vs. 7.31 (1.23; 1.21-1.25)] among 24/7 BI when compared with PI. Sensitivity analyses adjusting for ICU admission within 24 h of hospital admission, receiving active ICU treatments, nighttime admission, sepsis, and highest third acute physiology score indicated significantly higher odds for 24/7 BI compared with PI. Conclusion: Our comparison demonstrated that TCC delivery model with PI provided high-quality care with significant positive effects on outcomes. This suggests that TCC delivery models have broad-ranging applicability and benefits in routine critical care, thus necessitating progressive research in this direction.

Association of Contrast and Acute Kidney Injury in the Critically Ill: A Propensity-Matched Study.

BACKGROUND: Despite evidence that low osmolar radiocontrast media is not associated with acute kidney injury, it is important to evaluate this association in critically ill patients with normal kidney function. METHODS: This retrospective observational study included 7,333 adults with an ICU stay at a six-hospital health system in south Florida. Patients who received contrast were compared with unexposed control subjects prior to and following propensity score (PS) matching derived from baseline characteristics, admission diagnoses, comorbidities, and severity of illness. Acute kidney injury (AKI), defined as initial onset (stage I) or increased severity, was determined from serum creatinine levels according to Kidney Disease: Improving Global Outcomes guidelines. RESULTS: Based on 2,306 PS-matched pairs obtained from 2,557 patients who received IV contrast and 4,776 unexposed control subjects, the increase in AKI attributable to contrast was 1.3% (19.3% vs 18.0%; P = .273), and no association was found between contrast and the pattern of onset and recovery. Hospital mortality increased by 14.3% subsequent to AKI (18.0 vs 3.6; P < .001), but the risk ratio in relation to patients with stable AKI did not vary when stratified according to contrast. Multivariable regression identified sepsis, metabolic disorders, diabetes, history of renal disease, and severity of illness as factors that were more strongly associated with AKI. CONCLUSIONS: In critically ill adults with normal kidney function, low osmolar radiocontrast media did not substantively increase AKI. Rather than limiting the use of contrast in ICU patients, efforts to prevent AKI should focus on the susceptibility of patients with sepsis, diabetes complications, high Acute Physiology and Chronic Health Evaluation scores, and history of renal disease.

Telemedicine Intensive Care Unit Nursing Interventions to Prevent Failure to Rescue.

BACKGROUND: Although telemedicine intensive care unit (tele-ICU) nurses are integral to the tele-ICU model of care, few studies have explored the influence of tele-ICU nursing interventions on preventing failure to rescue in critically ill patients. OBJECTIVE: To determine how tele-ICU nurses characterize their interventions to prevent failure to rescue. METHODS: This qualitative interpretive study recruited a purposive sample from 11 tele-ICU centers across the United States for structured open-ended interviews. An inductive and deductive approach suitable for health services qualitative research was adapted to further explain and extend a relevant conceptual framework for tele-ICU nursing practice. RESULTS: Of 33 nurses practicing in tele-ICUs who responded to a recruitment email, 19 participated in this study. Findings included 4 major interrelated themes: (1) fundamental attributes of the tele-ICU nurse, (2) proactive clinical practice, (3) effective collaborative relationships, and (4) strategic use of advanced technology. CONCLUSION: A conceptual framework extending the American Association of Critical-Care Nurses model of success for tele-ICU nursing practice is proposed to prevent failure to rescue. Tele-ICU nurses use systems thinking and integration of complex factors in their practice to prevent failure to rescue. Tele-ICU nurses' perception of their role in preventing failure to rescue and emotional intelligence competence are key to building and maintaining effective relationships with the ICU. Tele-ICU nurses' intentional use of advanced technology, rather than the technology itself, supports and enhances proactive tele-ICU practice to prevent failure to rescue.

A Mixed Methods Study of Tele-ICU Nursing Interventions to Prevent Failure to Rescue of Patients in Critical Care.

Background:Failure to rescue (FTR) is a benchmark of quality care. Limited evidence exists examining the influence of telemedicine intensive care units (tele-ICU) nursing interventions in preventing FTR. The purpose of this study was to characterize tele-ICU nursing interventions and to determine which combination of documented tele-ICU nursing interventions (DTNI) best predicts prevention of FTR in ICU patients with hospital-acquired conditions (HACs).Materials and Methods:We used convergent parallel mixed methods design to conduct qualitative interviews with a purposive sample of tele-ICU nurses (n = 19) from 11 US tele-ICU centers. Quantitative data, including demographics, DTNIs, severity of illness scores, and video assessment times from January 2016 to December 2016 were retrieved for ICU patients discharged from a multihospital health system with a tele-ICU center (n = 861). Findings from both qualitative and quantitative analyses were merged, compared, and contrasted.Results:FTR patients had higher severity of illness, longer video assessment by tele-ICU nurses, and were more likely to have DTNIs related to hemodynamic instability. Four themes emerged from qualitative analysis: fundamental tele-ICU nurse attributes, proactive clinical practice, effective collaborative relationships, and strategic use of advanced technology. Mixed methods analysis revealed convergence between DTNIs and tele-ICU nurses' characterizations of their practice.Conclusions:Tele-ICU nurses' characterizations of their practice closely align with DTNIs. Tele-ICU nursing practice to prevent FTR involves systems thinking and integration of many complex factors. Tele-ICU nurses can reduce the odds of FTR with focus on support and clinical coordination interventions that avoid hemodynamic instability in ICU patients with a diagnosed HAC.

Impact of Telemedicine on Mortality, Length of Stay, and Cost Among Patients in Progressive Care Units: Experience From a Large Healthcare System.

OBJECTIVES: To determine whether Telemedicine intervention can affect hospital mortality, length of stay, and direct costs for progressive care unit patients. DESIGN: Retrospective observational. SETTING: Large healthcare system in Florida. PATIENTS: Adult patients admitted to progressive care unit (PCU) as their primary admission between December 2011 and August 2016 (n = 16,091). INTERVENTIONS: Progressive care unit patients with telemedicine intervention (telemedicine PCU [TPCU]; n = 8091) and without telemedicine control (nontelemedicine PCU [NTPCU]; n = 8000) were compared concurrently during study period. MEASUREMENTS AND MAIN RESULTS: Primary outcome was progressive care unit and hospital mortality. Secondary outcomes were hospital length of stay, progressive care unit length of stay, and mean direct costs. The mean age NTPCU and TPCU patients were 63.4 years (95% CI, 62.9-63.8 yr) and 71.1 years (95% CI, 70.7-71.4 yr), respectively. All Patient Refined-Diagnosis Related Group Disease Severity (p < 0.0001) and All Patient Refined-Diagnosis Related Group patient Risk of Mortality (p < 0.0001) scores were significantly higher among TPCU versus NTPCU. After adjusting for age, sex, race, disease severity, risk of mortality, hospital entity, and organ systems, TPCU survival benefit was 20%. Mean progressive care unit length of stay was lower among TPCU compared with NTPCU (2.6 vs 3.2 d; p < 0.0001). Postprogressive care unit hospital length of stay was longer for TPCU patients, compared with NTPCU (7.3 vs 6.8 d; p < 0.0001). The overall mean direct cost was higher for TPCU ($13,180), compared with NTPCU ($12,301; p < 0.0001). CONCLUSIONS: Although there are many studies about the effects of telemedicine in ICU, currently there are no studies on the effects of telemedicine in progressive care unit settings. Our study showed that TPCU intervention significantly decreased mortality in progressive care unit and hospital and progressive care unit length of stay despite the fact patients in TPCU were older and had higher disease severity, and risk of mortality. Increased postprogressive care unit hospital length of stay and total mean direct costs inclusive of telemedicine costs coincided with improved survival rates. Telemedicine intervention decreased overall mortality and length of stay within progressive care units without substantial cost incurrences.

Telenursing in the intensive care unit: transforming nursing practice.

In tele-intensive care units, informatics, telecommunication technology, telenursing, and telemedicine are merged to provide expert, evidence-based, and cutting-edge services to critically ill patients. Telenursing is an emerging subspecialty in critical care that is neither well documented in the extant literature nor well understood within the profession. Documentation and quantification of telenursing interventions help to clarify the impact of the telenurse's role on nursing practice, enhancement of patient care, patient safety, and outcomes. Tele-intensive care unit nursing will continue to transform how critical care nursing is practiced by enhancing/leveraging available resources through the use of technology.