The Value of 24/7 In-House ICU Staffing 24/7 Intensivist in the ICU

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.

Nationwide Clinical Practice Patterns of Anesthesiology Critical Care Physicians: A Survey to Members of the Society of Critical Care Anesthesiologists

BACKGROUND

Despite the growing contributions of critical care anesthesiologists to clinical practice, research, and administrative leadership of intensive care units (ICUs), relatively little is known about the subspecialty-specific clinical practice environment. An understanding of contemporary clinical practice is essential to recognize the opportunities and challenges facing critical care anesthesia, optimize staffing patterns, assess sustainability and satisfaction, and strategically plan for future activity, scope, and training. This study surveyed intensivists who are members of the Society of Critical Care Anesthesiologists (SOCCA) to evaluate practice patterns of critical care anesthesiologists, including compensation, types of ICUs covered, models of overnight ICU coverage, and relationships between these factors. We hypothesized that variability in compensation and practice patterns would be observed between individuals.

METHODS

Board-certified critical care anesthesiologists practicing in the United States were identified using the SOCCA membership distribution list and invited to take a voluntary online survey between May and June 2021. Multiple-choice questions with both single- and multiple-select options were used for answers with categorical data, and adaptive questioning was used to clarify stem-based responses. Respondents were asked to describe practice patterns at their respective institutions and provide information about their demographics, salaries, effort in ICUs, as well as other activities.

RESULTS

A total of 490 participants were invited to take this survey, and 157 (response rate 32%) surveys were completed and analyzed. The majority of respondents were White (73%), male (69%), and younger than 50 years of age (82%). The cardiothoracic/cardiovascular ICU was the most common practice setting, with 69.5% of respondents reporting time working in this unit. Significant variability was observed in ICU practice patterns. Respondents reported spending an equal proportion of their time in clinical practice in the operating rooms and ICUs (median, 40%; interquartile range [IQR], 20%-50%), whereas a smaller proportion-primarily those who completed their training before 2009-reported administrative or research activities. Female respondents reported salaries that were $36,739 less than male respondents; however, this difference was not statistically different, and after adjusting for age and practice type, these differences were less pronounced (-$27,479.79; 95% confidence interval [CI], -$57,232.61 to $2273.03; P = .07).

CONCLUSIONS

These survey data provide a current snapshot of anesthesiology critical care clinical practice patterns in the United States. Our findings may inform decision-making around the initiation and expansion of critical care services and optimal staffing patterns, as well as provide a basis for further work that focuses on intensivist satisfaction and burnout.

The effect of different intensivist staffing patterns on the rate of potential drug-drug interactions in adult trauma intensive care units

BACKGROUND

Drug-drug interactions (DDIs) have created alarming challenges for public health, especially in those admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and decreases the treatment costs. The effect of academic versus non-academic (therapeutic) intensivist as well as hours of coverage and attendance of intensivist on potential DDIs (pDDIs) was evaluated in six adult trauma ICUs of a level one trauma center.

METHODS

In this 6-month cross-sectional study, 200 patients were included. The DDIs were classified into five groups, including type A, B, C, D, and X. pDDIs were defined as interactions belonged to C, D and X categories. Patients in six adult ICUs with three different patterns of intensivist staffing models including type A (once-daily therapeutic intensivist visit followed by 24 h on-call), B (twice-daily academic intensivist visit, 8 h of attendance in ICU and 16 h on-call) and C (all criteria just like ICU type B, except for the presence of therapeutic instead of academic intensivist) were screened for pDDIs.

RESULTS

In total, 3735 drug orders and 3869 drugs (193 different types) were screened and 1826 pDDIs were identified. Type C, D and X interactions accounted for 60.6%, 35.5%, and 3.9% of all pDDIs, respectively. The mean of pDDI per patient was significantly higher (p-value < 0.001) in the ICU type A than ICU types C and B. The frequency of pDDIs was the highest in the type A ICUs. A statistically significant relationship was observed between the number of prescribed drugs and ICU length of stay (p-value < 0.001 and p = 0.009, respectively).

CONCLUSION

Different patterns of intensivist staffing affect pDDIs to varying degrees. In the studied ICUs academic versus therapeutic intensivist, twice versus once-daily visit, and 8 h attendance with16 h on-call versus 24 h on-call were associated with more reductions in pDDIs.

PLAIN LANGUAGE SUMMARY

The impact of different intensivist staffing patterns in ICUs on the rate of potential drug-drug interactionsDrug-drug interactions (DDIs) have created alarming challenges for public health, especially in patients admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and limits the costs. Considering the high incidence of potential DDIs (pDDIs) occurring for critically ill patients and the importance of ADRs caused by pDDIs in ICUs, the effect of the presence of an academic versus therapeutic intensivist, as well as the hour of coverage of intensivist on prevalence of pDDIs was evaluated in six adult trauma ICUs of a level one trauma center in Shiraz, Iran. We also determined the prevalence of pDDIs and their associated risk factors. To the best of our knowledge, this is the first study that has assessed the effect of various ICU physician staffing models on the incidence and pattern of pDDIs.

Impact of Geographical Cohorting in the ICU: An Academic Tertiary Care Center Experience

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ICU is a multifaceted organization where multiple teams care for critically ill patients. In the current era, collaboration between teams and efficient workflows form the backbone of value-based care. Geographical cohorting is a widespread model for hospitalist rounding, but its role in ICUs is unclear. This study evaluates the outcomes of geographical cohorting in a large ICU of an Academic Health Center.

Quality Improvement in Congenital Heart Surgery

Congenital heart disease is a major public health concern in the United States. Outcomes of surgery for children with congenital heart disease have dramatically improved over the last several decades with current aggregate operative mortality rates approximating 3%, inclusive of all ages and defects. However, there remains significant variability among institutions, especially for higher-risk and more complex patients. As health care moves toward the quadruple aim of improving patient experience, improving the health of populations, lowering costs, and increasing satisfaction among providers, congenital heart surgery programs must evolve to meet the growing scrutiny, demands, and expectations of numerous stakeholders. Improved outcomes and reduced interinstitutional variability are achieved through prioritization of quality assurance and improvement.

Intensivist staffing and outcome in the ICU: daytime, nighttime, 24/7?

PURPOSE OF REVIEW

Many hospitals, particularly large academic centers, have begun to provide 24-h in-house intensive care attending coverage. Proposed advantages for this model include improved patient care, greater provider, nursing and patient satisfaction, better communication, and greater cost-effectiveness. This review will evaluate current evidence with respect to 24/7 coverage, including patient outcomes, cost-effectiveness, and impact on training/education.

RECENT FINDINGS

Evidence surrounding 24-h intensivist staffing has been mixed. Although a subset of studies suggest a possible benefit to 24-h intensivist coverage, recent prospective studies have shown no difference in major patient outcomes, including mortality and ICU length of stay between patients in ICUs with and those without 24-h intensivist coverage.

SUMMARY

Although some studies cite increased caregiver and patient satisfaction, outcome studies find no consistent effect on patient-centered outcomes such as mortality or length of stay. Downsides to in-house nighttime attending staffing include physician burnout, adverse effects on physician health, decreased trainee autonomy, and effects on trainee specialty choices because of undesirable lifestyle considerations. Tele-ICU and other novel approaches may allow for attending supervision without physical presence.

Workforce, Workload, and Burnout Among Intensivists and Advanced Practice Providers: A Narrative Review

OBJECTIVES

To assess-by literature review and expert consensus-workforce, workload, and burnout considerations among intensivists and advanced practice providers.

DESIGN

Data were synthesized from monthly expert consensus and literature review.

SETTING

Workforce and Workload section workgroup of the Academic Leaders in Critical Care Medicine Task Force.

MEASUREMENTS AND MAIN RESULTS

Multidisciplinary care teams led by intensivists are an essential component of critical care delivery. Advanced practice providers (nurse practitioners and physician assistants) are progressively being integrated into ICU practice models. The ever-increasing number of patients with complex, life-threatening diseases, concentration of ICU beds in few centralized hospitals, expansion of specialty ICU services, and desire for 24/7 availability have contributed to growing intensivist staffing concerns. Such staffing challenges may negatively impact practitioner wellness, team perception of care quality, time available for teaching, and length of stay when the patient to intensivist ratio is greater than or equal to 15. Enhanced team communication and reduction of practice variation are important factors for improved patient outcomes. A diverse workforce adds value and enrichment to the overall work environment. Formal succession planning for ICU leaders is crucial to the success of critical care organizations. Implementation of a continuous 24/7 ICU coverage care model in high-acuity, high-volume centers should be based on patient-centered outcomes. High levels of burnout syndrome are common among intensivists. Prospective analyses of interventions to decrease burnout within the ICU setting are limited. However, organizational interventions are felt to be more effective than those directed at individuals.

CONCLUSIONS

Critical care workforce and staffing models are myriad and based on several factors including local culture and resources, ICU organization, and strategies to reduce burden on the ICU provider workforce. Prospective studies to assess and avoid the burnout syndrome among intensivists and advanced practice providers are needed.

The 24-Hour Intensivists Staffing Model Improves the Outcome for Nighttime Admitted Patients: A Matched Historical Control Study

INTRODUCTION

We previously showed that a "10-hour daytime on-site" and "nighttime (NT) on-call" staffing strategy was associated with higher mortality for intensive care unit (ICU) patients admitted during NT than it was for patients admitted during office hours (OH). In here, we evaluated the clinical effects of a 24-hour intensivist staffing model.

METHODS

We formed an intervention group of 3034 consecutive ICU patients hospitalized from January 2013 to December 2015, and a control group of 2891 patients from our previous study (2009-2011). We applied propensity score matching (PSM) for whole and subgroup analyses adjusting for confounding factors. We compared clinical outcomes of patients under the 2 staffing models using multivariate logistic regression and survival analyses.

RESULTS

After PSM, we balanced the clinical data between the complete cohorts and the subgroups. Comparison of ICU survivals between the intervention and control cohorts yielded no significant differences. However, the intervention was significantly associated with a higher ICU survival in the NT (5:30 pm-07:30 am) admission patients (P = .049) than in those admitted during OH (07:30 am to 5:30 pm; P = .456). Additionally, the intervention shortened the LOS_HOS (P = .001) and/or LOS_ICU (P < .001), reduced the hospital (P = .672) and/or ICU (P = .004) expenses, and resulted in earlier mechanical ventilation extubation (P = .442) as compared to the same variables in the control group, especially for NT admissions.

CONCLUSIONS

The 24-hour intensivists staffing could significantly improve ICU outcomes, especially for NT-admission patients in high-acuity, high-volume ICUs with frequent NT admissions.

Is 24/7 In-House Intensivist Staffing Necessary in the Intensive Care Unit?

Over the past few decades, an increasing number of studies have shown that intensivist-staffed intensive care units (ICUs) lead to overall economic benefits and improved patient outcomes, including shorter length of stay and lower rates of complications and mortality. This body of evidence has convinced advocacy groups to adopt this staffing model as a standard of care in the ICU so that more hospitals are offering around-the-clock intensivist coverage. Even so, opponents have pointed to high ICU staffing costs and a shortage of physicians trained in critical care as barriers to implementing this model. While these arguments may hold true in low-acuity, low-volume ICUs, evidence has shown that in high-acuity, high-volume centers such as teaching hospitals and tertiary care centers, the benefits outweigh the costs. This article explores the history of intensivists and critical care, the arguments for 24/7 ICU staffing, and outcomes in various ICU settings but is not intended to be a comprehensive review of all controversies surrounding continuous ICU staffing.