There's no place like home: boarding surgical ICU patients in other ICUs and the effect of distances from the home unit

Outcomes of critically ill COVID-19 patients boarding in the emergency department of a tertiary care center in a developing country: a retrospective cohort study

BACKGROUND

Boarding of critically ill patients in the emergency department (ED) has long been known to compromise patient care and affect outcomes. During the COVID-19 pandemic, multiple hospitals worldwide experienced overcrowded emergency rooms. Large influx of patients outnumbered hospital beds and required prolonged length of stay (LOS) in the ED. Our aim was to assess the ED LOS effect on mortality and morbidity, in addition to the predictors of in-hospital mortality, intubation, and complications of critically ill COVID-19 ED boarder patients.

METHODS

This was a retrospective cohort study, investigating 145 COVID-19-positive adult patients who were critically ill, required intensive care unit (ICU), and boarded in the ED of a tertiary care center in Lebanon. Data on patients who boarded in the emergency from January 1, 2020, till January 31, 2021, was gathered and studied.

RESULTS

Overall, 66% of patients died, 60% required intubation, and 88% developed complications. Multiple risk factors were associated with mortality naming age above 65 years, vasopressor use, severe COVID pneumonia findings on CT chest, chemotherapy treatment in the previous year, cardiovascular diseases, chronic kidney diseases, prolonged ED LOS, and low SaO2 < 95% on triage. In addition, our study showed that staying long hours in the ED increased the risk of developing complications.

CONCLUSION

To conclude, all efforts need to be drawn to re-establish mitigation strategies and models of critical care delivery in the ED to alleviate the burden of critical boarders during pandemics, thus decreasing morbidity and mortality rates. Lessons from this pandemic should raise concern for complications seen in ED ICU boarders and allow the promotion of health measures optimizing resource allocation in future pandemic crises.

Mortality of Mechanically Ventilated COVID-19 Patients in Traditional versus Expanded ICUs in NY

RATIONALE

During the first wave of the coronavirus disease 2019 (COVID-19) pandemic in New York City, the number of mechanically ventilated COVID-19 patients rapidly surpassed the capacity of traditional Intensive Care Units (ICUs), resulting in health systems utilizing other areas as expanded ICUs to provide critical care.

OBJECTIVES

To evaluate the mortality of patients admitted to expanded ICUs compared with those admitted to traditional ICUs.

METHODS

Multicenter, retrospective, cohort study of mechanically ventilated patients with COVID-19 admitted to the ICUs at 11 Northwell Health hospitals in the greater New York City area between March 1, 2020 and April 30, 2020.

MEASUREMENTS

In-hospital mortality up to 28 days after intubation of COVID-19 patients.

RESULTS

Among 1,966 mechanically ventilated patients with COVID-19, 1,198 (61%) died within 28 days after intubation, 46 (2%) were transferred to other hospitals outside of the Northwell Health system, 722 (37%) survived in the hospital until 28 days or were discharged after recovery. The risk of mortality of mechanically ventilated patients admitted to expanded ICUs was not different from those admitted to traditional ICUs (HR, 1.07; 95% CI, 0.95-1.20; p = 0.28), while hospital occupancy for critically ill patients itself was associated with increased risk of mortality (HR, 1.28; 95% CI, 1.12-1.45; p < 0.001).

CONCLUSIONS

Although increased hospital occupancy for critically ill patients itself was associated with increased mortality, the risk of 28-day in-hospital mortality of mechanically ventilated patients with COVID-19 who were admitted to expanded ICUs was not different from those admitted to traditional ICUs.

Boarding of Critically Ill Patients in the Emergency Department

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Objectives:

Emergency department boarding is the practice of caring for admitted patients in the emergency department after hospital admission, and boarding has been a growing problem in the United States. Boarding of the critically ill has achieved specific attention because of its association with poor clinical outcomes. Accordingly, the Society of Critical Care Medicine and the American College of Emergency Physicians convened a Task Force to understand the implications of emergency department boarding of the critically ill. The objective of this article is to review the U.S. literature on (1) the frequency of emergency department boarding among the critically ill, (2) the outcomes associated with critical care patient boarding, and (3) local strategies developed to mitigate the impact of emergency department critical care boarding on patient outcomes.

Data Sources and Study Selection:

Review article.

Data Extraction and Data Synthesis:

Emergency department–based boarding of the critically ill patient is common, but no nationally representative frequency estimates has been reported. Boarding literature is limited by variation in the definitions used for boarding and variation in the facilities studied (boarding ranges from 2% to 88% of ICU admissions). Prolonged boarding in the emergency department has been associated with longer duration of mechanical ventilation, longer ICU and hospital length of stay, and higher mortality. Health systems have developed multiple mitigation strategies to address emergency department boarding of critically ill patients, including emergency department-based interventions, hospital-based interventions, and emergency department–based resuscitation care units.

Conclusions:

Emergency department boarding of critically ill patients was common and was associated with worse clinical outcomes. Health systems have generated a number of strategies to mitigate these effects. A definition for emergency department boarding is proposed. Future work should establish formal criteria for analysis and benchmarking of emergency department–based boarding overall, with subsequent efforts focused on developing and reporting innovative strategies that improve clinical outcomes of critically ill patients boarded in the emergency department.

Boarding of critically Ill patients in the emergency department

OBJECTIVES

Emergency department boarding is the practice of caring for admitted patients in the emergency department after hospital admission, and boarding has been a growing problem in the United States. Boarding of the critically ill has achieved specific attention because of its association with poor clinical outcomes. Accordingly, the Society of Critical Care Medicine and the American College of Emergency Physicians convened a Task Force to understand the implications of emergency department boarding of the critically ill. The objective of this article is to review the U.S. literature on (1) the frequency of emergency department boarding among the critically ill, (2) the outcomes associated with critical care patient boarding, and (3) local strategies developed to mitigate the impact of emergency department critical care boarding on patient outcomes.

DATA SOURCES AND STUDY SELECTION

Review article.

DATA EXTRACTION AND DATA SYNTHESIS

Emergency department-based boarding of the critically ill patient is common, but no nationally representative frequency estimates has been reported. Boarding literature is limited by variation in the definitions used for boarding and variation in the facilities studied (boarding ranges from 2% to 88% of ICU admissions). Prolonged boarding in the emergency department has been associated with longer duration of mechanical ventilation, longer ICU and hospital length of stay, and higher mortality. Health systems have developed multiple mitigation strategies to address emergency department boarding of critically ill patients, including emergency department-based interventions, hospital-based interventions, and emergency department-based resuscitation care units.

CONCLUSIONS

Emergency department boarding of critically ill patients was common and was associated with worse clinical outcomes. Health systems have generated a number of strategies to mitigate these effects. A definition for emergency department boarding is proposed. Future work should establish formal criteria for analysis and benchmarking of emergency department-based boarding overall, with subsequent efforts focused on developing and reporting innovative strategies that improve clinical outcomes of critically ill patients boarded in the emergency department.

Ventral hernia patient outcomes postoperatively housed on surgical vs non-surgical units

BACKGROUND

Inpatient hospital units vary in staffing ratios, monitoring, procedural abilities, and experience with unique patients and diagnoses. The purpose of this study is to assess the impact of patient cohorting upon ventral hernia repair outcomes.

METHODS

An IRB-approved retrospective review of open ventral hernia repairs between August 2013 and July 2017 was performed. The information of all patient locations during hospitalization, time at location, post-anesthesia care unit duration (PACU), and intensive care unit (ICU) duration was collected. Patient demographics, comorbidities, operative details, cost, and patient outcomes were analyzed. Multivariable analysis of log length of stay (LOS) was assessed with adjustment for clinical and operative factors.

RESULTS

235 patients underwent open ventral hernia repair. 179 patients were admitted to surgical units, 33 non-surgical units, and 23 stayed on both units. Clinical characteristics including patient age, gender, BMI, and medical comorbidities were similar between patients boarded on surgical versus non-surgical units. Hernia, wound, and operative data were also statistically similar. Patients admitted to non-surgical units for any duration experienced longer hospital stay (4 vs. 6 days, p < 0.001). Patients housed on a non-surgical unit were more likely to transfer rooms than patients on surgical units, 42.9% vs. 10.1% (p < 0.001), respectively. Multivariable analysis of natural log-transformed LOS showed any stay on a non-surgical unit increased LOS by 1.0 days (95% Cl 0.9-1.2 days, p = 0.026). There were no differences in ICU or PACU stay, cost, or postoperative complications in patients housed on surgical versus non-surgical units.

CONCLUSIONS

Postoperative surgical patients had an increased length of stay when admitted to non-surgical units. More frequent room transfers occurred in patients admitted to non-surgical units. Evaluation of patient outcomes and LOS in open ventral hernia repair patients based on hospital unit is unique to this study.

Structure and function of a trauma intensive care unit: A report from the Trauma Intensive Care Unit Prevalence Project

BACKGROUND

Specialized trauma intensive care unit (TICU) care impacts patient outcomes. Few studies describe where and how TICU care is delivered. We performed an assessment of TICU structure and function at a sample of US trauma center TICUs.

METHODS

This was a multicenter study in which participants supplied information about their trauma centers, staff, clinical protocols, processes of care, and study TICU (the ICU admitting the majority of trauma patients).

RESULTS

Forty-five Level I trauma centers trauma centers enrolled through the American Association for the Surgery of Trauma multi-institutional trials platform; 71.1% had less than 750 beds and 55.5% treated 1,000 to 2,999 trauma activations/year. The median number of hospital ICU beds was 109 [66-185]. 46.7% were "closed" ICUs, 20% were "open," and 82.2% had mandatory intensivist consultation. 42.2% ICUs were classified as trauma (≥80% of patients were trauma), 46.7% surgical/trauma, and 11.1% medical-surgical. Trauma ICUs had a median 10 [7-12] intensivists. Intensivists were present 24 hours/day in 80% of TICUs. Centers reported a median of 8 (interquartile range [IQR], 6-10) full-time trauma surgeons, whose ICU duties comprised 25% (IQR, 20%-40%) of their clinical time and 20% (IQR, 20-33) of total work time. A median 16 (IQR, 12-23) ICU beds in use were staffed by 10 (IQR, 7-14) nurses. There was considerable variation in the number and type of protocols used and in diagnostic methods for ventilator-associated pneumonia. Daily patient care checklists were used by 80% of ICUs. While inclusion of families on rounds was performed in 91.1% of ICUs, patient- and family-centered support programs were less common.

CONCLUSION

A study of structure and function of TICUs at a sample of Level I trauma centers revealed that presence of nontrauma patients was common, critical care is a significant component of trauma surgeons' professional practice, and significant variation exists in care delivery models and protocol use. Opportunities may exist to improve care through sharing of best practices.

LEVEL OF EVIDENCE

Therapeutic/Care management, level IV.

Influence of bedspacing on outcomes of hospitalised medicine service patients: a retrospective cohort study

BACKGROUND

Specialty wards cohort hospitalised patients to improve outcomes and lower costs. When demand exceeds capacity, patients overflow and are "bedspaced" to alternate wards. Some studies have demonstrated that bedspacing among medicine service patients is associated with adverse patient-centred outcomes, however, results have been inconsistent and have primarily been performed within national health systems. The objective of this study was to assess the association of bedspacing with patient-centred outcomes among United States patients admitted to general medicine services.

METHODS

We performed a retrospective cohort study of internal medicine, family medicine and geriatric service patients who were bedspaced vs cohorted for the entirety of their hospital stay within three large, urban United States hospitals (quaternary referral centre, tertiary referral centre and community hospital, with different patient demographics and case-mixes) in 2014 and 2015. We performed quantile regression to determine differences in length of stay (LOS) between bedspaced vs cohorted patients and logistic regression for in-hospital mortality and discharge to home.

RESULTS

Among 18 802 patients in 33 wards, 6119 (33%) patients were bedspaced. Bedspaced patients had significantly longer LOS compared with cohorted patients at the 25^th (0.1 days, 95% CI: 0.05 to 0.2, p=0.001), 50^th (0.2 days, 95% CI: 0.1 to 0.3, p=0.003) and 75^th (0.3 days, 95% CI: 0.2 to 0.5, p<0.001) percentiles; and no statistically significant differences in odds of mortality (OR=0.9, 95% CI: 0.6 to 1.3, p=0.5) or discharge to home (OR=0.9, 95% CI: 0.9 to 1.0, p=0.06) in adjusted analyses.

CONCLUSION

Bedspacing is associated with adverse patient-centred outcomes. Future work is needed to confirm these findings, understand mechanisms contributing to adverse outcomes and identify factors that mitigate these adverse effects in order to provide high-value, patient-centred care to hospitalised patients.

Outcomes in Medical Intensive Care Patients Housed in Geographically Distant Units

OBJECTIVE

The purpose of this study is to determine whether in patients admitted to a medical intensive care unit (ICU) service there are outcome differences between those in a medical ICU bed ("home") and a geographically distant subspecialty ICU bed ("overflow").

METHODS

We performed a retrospective cohort study of 4091 patients admitted to a medical ICU of a large tertiary-care urban teaching hospital. Depending on bed availability, some patients were housed in surgical or cardiac subspecialty ICUs while still being cared for by the primary medical ICU service. We assessed the association of these overflow patients with readmission rates and ICU and hospital length of stay (LOS). Potential differences in care was assessed by measuring the number of central line days, urinary catheter days, and ventilator days.

RESULTS

Of the 4091 consecutive patients admitted to the medical ICU, 362 (9%) were housed in an overflow ICU and 3729 (91%) were home patients. There was no difference in demographics, patient characteristics, ICU admission diagnosis, or risk of mortality between the 2 groups. Compared to home patients, overflow patients had a higher rate of readmission to the ICU (10.5% vs 6.63% respectively P = .006), a slightly shorter ICU LOS (median 2 [interquartile range, IQR: 1-4] days versus home group of 2 [IQR: 1-5] days; P = .001), and a slightly longer hospital LOS (overflow 7 [IQR: 4-17] days vs home 7 [IQR: 4-13] days, P = .001). There was no differences in number of central venous catheter days, urinary catheter days, ventilator days, or mortality.

CONCLUSIONS

Medical ICU patients who are housed in ICUs geographically distant from the primary team's location have increased morbidity when compared to patients admitted to the home ICU. However, there are no differences in number of central venous catheter days, urinary catheter days, ventilator days, or mortality.

Increased Healthcare-Associated Infections in a Surgical Intensive Care Unit Related to Boarding Non-Surgical Patients

Background: Hospital over-capacity often forces boarding patients outside of their designated intensive care unit (ICU). Anecdotal evidence suggested medical intensive care unit (MICU) patients boarding in the surgical intensive care unit (SICU) were responsible for increases in healthcare-associated infection (HAI) rates. We studied the effect of ICU boarding on rates of SICU HAIs. Methods: This single-center, retrospective two-year database study compared primary SICU patients (Home) to MICU patients boarding in the SICU (Boarders). Variables studied included age, gender, Acute Physiology and Chronic Health Evaluation III (APACHE III) scores, and comorbidities. Healthcare-associated infections included Clostridium difficile infection, catheter-associated urinary tract infections, central line-associated blood stream infection, and ventilator-associated pneumonia. Student t-test, Fisher exact testing, and a multivariable regression model were used to determine the significance of associations. Results: A total of 2,562 patients were included in the study; 328 (12.8%) were Boarders and 2,234 (87.2%) were Home. Univariable analysis demonstrated that Boarders were older (64.0 ± 16.9 vs. 60.2 ± 17.4), more severely ill (APACHE III score 70.5 ± 31.1 vs. 53.4 ± 21.9), more likely to have cirrhosis, coronary artery disease, and asthma/chronic obstructive pulmonary disease, but less likely to have hypertension. On univariable analysis boarding was associated with an increase HAI rate (19 HAI/1,000 patient days vs. 6.2, p < 0.001). Multivariable regression modeling demonstrated boarding status remained independently associated with HAI (odds ratio [OR] 1.83 95% confidence interval [CI] 1.02-3.27). Cost estimates demonstrated an additional cost of $83,303 per 1,000 patient days. Conclusion: The practice of hospital boarding is associated with development of HAI and increased hospital costs. Efforts at determining the cause of this increase and then reducing HAIs will improve patient care and help hospital budgets.

The Lifetime Effects of Injury: Postintensive Care Syndrome and Posttraumatic Stress Disorder

Postintensive care syndrome (PICS) is a heterogeneous syndrome marked by physical, cognitive, and mental health impairments experienced by critical care survivors. It is a syndrome that bears significant human and health care costs. Additional research is needed to identify risk factors and diagnostic, preventative, and treatment strategies for PICS. Trauma intensive care unit patients are particularly vulnerable to posttraumatic stress disorder, which shares some of the adverse long-term consequences of PICS and also requires additional research into effective preventative and management strategies.

Effect of Emergency Department and ICU Occupancy on Admission Decisions and Outcomes for Critically Ill Patients

OBJECTIVES

ICU admission delays can negatively affect patient outcomes, but emergency department volume and boarding times may also affect these decisions and associated patient outcomes. We sought to investigate the effect of emergency department and ICU capacity strain on ICU admission decisions and to examine the effect of emergency department boarding time of critically ill patients on in-hospital mortality.

DESIGN

A retrospective cohort study.

SETTING

Single academic tertiary care hospital.

PATIENTS

Adult critically ill emergency department patients for whom a consult for medical ICU admission was requested, over a 21-month period.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Patient data, including severity of illness (Mortality Probability Model III on Admission), outcomes of mortality and persistent organ dysfunction, and hourly census reports for the emergency department, for all ICUs and all adult wards were compiled. A total of 854 emergency department requests for ICU admission were logged, with 455 (53.3%) as "accept" and 399 (46.7%) as "deny" cases, with median emergency department boarding times 4.2 hours (interquartile range, 2.8-6.3 hr) and 11.7 hours (3.2-20.3 hr) and similar rates of persistent organ dysfunction and/or death 41.5% and 44.6%, respectively. Those accepted were younger (mean ± SD, 61 ± 17 vs 65 ± 18 yr) and more severely ill (median Mortality Probability Model III on Admission score, 15.3% [7.0-29.5%] vs 13.4% [6.3-25.2%]) than those denied admission. In the multivariable model, a full medical ICU was the only hospital-level factor significantly associated with a lower probability of ICU acceptance (odds ratio, 0.55 [95% CI, 0.37-0.81]). Using propensity score analysis to account for imbalances in baseline characteristics between those accepted or denied for ICU admission, longer emergency department boarding time after consult was associated with higher odds of mortality and persistent organ dysfunction (odds ratio, 1.77 [1.07-2.95]/log10 hour increase).

CONCLUSIONS

ICU admission decisions for critically ill emergency department patients are affected by medical ICU bed availability, though higher emergency department volume and other ICU occupancy did not play a role. Prolonged emergency department boarding times were associated with worse patient outcomes, suggesting a need for improved throughput and targeted care for patients awaiting ICU admission.

Impact of outlier status on critical care patient outcomes: Does boarding medical intensive care unit patients make a difference?

PURPOSE

To evaluate the impact of outlier status, or the practice of boarding ICU patients in distant critical care units, on clinical and utilization outcomes.

MATERIALS AND METHODS

Retrospective observational study of all consecutive admissions to the MICU service between April 1, 2014-January 3, 2016, at an urban university hospital.

RESULTS

Of 1931 patients, 117 were outliers (6.1%) for the entire duration of their ICU stay. In adjusted analyses, there was no association between outlier status and hospital (OR 1.21, 95% CI 0.72-2.05, p=0.47) or ICU mortality (OR 1.20, 95% CI 0.64-2.25, p=0.57). Outliers had shorter hospital and ICU lengths of stay (LOS) in addition to fewer ventilator days. Crossover patients who had variable outlier exposure also had no increase in hospital (OR 1.61; 95% CI 0.80-3.23; p=0.18) or ICU mortality (OR 1.05; 95% CI 0.43-2.54; p=0.92) after risk-adjustment.

CONCLUSIONS

Boarding of MICU patients in distant units during times of bed nonavailability does not negatively influence patient mortality or LOS. Increased hospital and ventilator utilization observed among non-outliers in the home unit may be attributable, at least in part, to differences in patient characteristics. Prospective investigation into the practice of ICU boarding will provide further confirmation of its safety.

Boarding ICU patients: Are our rounding practices subpar?

INTRODUCTION

Surgical Intensive Care Unit (SICU) patients "boarding" in ICUs other than the designated home unit have been shown to suffer increased rates of complications. We hypothesized that ICU rounding practices are different when SICU patients are housed in home vs. boarding ICUs.

MATERIAL AND METHODS

SICU rounds were observed at an academic quaternary medical center. Individual patient rounding time and order seen on rounds along with patient data and demographics were recorded. Multivariable regression analysis was used for comparison between patients.

RESULTS

Non-boarders were older, observed on a later post ICU admission day and were more likely to be mechanically ventilated. Boarded patients were often seen at the end of rounds and for less time. Not being a boarder, age, APACHE II score on admission, vasopressor use, and positive pressure ventilation all predicted increased rounding time.

CONCLUSIONS

Surgical ICU patients boarding in non-preferred units are often seen at the end of rounds, result in a greater reliance upon telephone communication, and receive less bedside attention from ICU provider teams.

The Association Between Hospital Capacity Strain and Inpatient Outcomes in Highly Developed Countries: A Systematic Review

BACKGROUND

Increases in patient needs can strain hospital resources, which may worsen care quality and outcomes. This systematic literature review sought to understand whether hospital capacity strain is associated with worse health outcomes for hospitalized patients and to evaluate benefits and harms of health system interventions to improve care quality during times of hospital capacity strain.

METHODS

Parallel searches were conducted in MEDLINE, CINAHL, the Cochrane Library, and reference lists from 1999-2015. Two reviewers assessed study eligibility. We included English-language studies describing the association between capacity strain (high census, acuity, turnover, or an indirect measure of strain such as delayed admission) and health outcomes or intermediate outcomes for children and adults hospitalized in highly developed countries. We also included studies of health system interventions to improve care during times of capacity strain. Two reviewers extracted data and assessed risk of bias using the Newcastle-Ottawa Score for observational studies and the Cochrane Collaboration Risk of Bias Assessment Tool for experimental studies.

RESULTS

Of 5,702 potentially relevant studies, we included 44 observational and 8 experimental studies. There was marked heterogeneity in the metrics used to define capacity strain, hospital settings, and overall study quality. Mortality increased during times of capacity strain in 18 of 30 studies and in 9 of 12 studies in intensive care unit settings. No experimental studies were randomized, and none demonstrated an improvement in health outcomes after implementing the intervention. The pediatric literature is very limited; only six observational studies included children. There was insufficient study homogeneity to perform meta-analyses.

DISCUSSION

In highly developed countries, hospital capacity strain is associated with increased mortality and worsened health outcomes. Evidence-based solutions to improve outcomes during times of capacity strain are needed.

Complications during intrahospital transport of critically ill patients: Focus on risk identification and prevention

Intrahospital transportation of critically ill patients is associated with significant complications. In order to reduce overall risk to the patient, such transports should well organized, efficient, and accompanied by the proper monitoring, equipment, and personnel. Protocols and guidelines for patient transfers should be utilized universally across all healthcare facilities. Care delivered during transport and at the site of diagnostic testing or procedure should be equivalent to the level of care provided in the originating environment. Here we review the most common problems encountered during transport in the hospital setting, including various associated adverse outcomes. Our objective is to make medical practitioners, nurses, and ancillary health care personnel more aware of the potential for various complications that may occur during patient movement from the intensive care unit to other locations within a healthcare facility, focusing on risk reduction and preventive strategies.