An Official American Thoracic Society Systematic Review: The Effect of Nighttime Intensivist Staffing on Mortality and Length of Stay among Intensive Care Unit Patients

Association of 24-Hour In-house Neonatologist Coverage with Outcomes of Extremely Preterm Infants

OBJECTIVE

 This study aimed to assess if 24-hour in-house neonatologist (NN) coverage is associated with delivery room (DR) resuscitation/stabilization and outcomes among inborn infants <29 weeks' gestational age (GA).

STUDY DESIGN

 Survey-linked cohort study of 2,476 inborn infants of 23 to 28 weeks' gestation, admitted between 2014 and 2015 to Canadian Neonatal Network Level-3 neonatal intensive care units (NICUs) with a maternity unit. Exposures were classified using survey responses based on the most senior provider offering 24-hour in-house coverage: NN, fellow, and no NN/fellow. Primary outcome was death and/or major morbidity (bronchopulmonary dysplasia, severe neurological injury, late-onset sepsis, necrotizing enterocolitis, and retinopathy of prematurity). Multivariable logistic regression analysis was used to assess the association between exposures and outcomes and adjust for confounders.

RESULTS

 Among the 28 participating NICUs, most senior providers ensuring 24-hour in-house coverage were NN (32%, 9/28), fellows (39%, 11/28), and no NN/fellow (29%, 8/28). No NN/fellow coverage and 24-hour fellow coverage were associated with higher odds of infants receiving DR chest compressions/epinephrine compared with 24-hour NN coverage (adjusted odds ratio [aOR] = 4.72, 95% confidence interval [CI]: 2.12-10.6 and aOR = 3.33, 95% CI: 1.44-7.70, respectively). Rates of mortality/major morbidity did not differ significantly among the three groups: NN, 63% (249/395 infants); fellow, 64% (1092/1700 infants); no NN/fellow, 70% (266/381 infants).

CONCLUSION

 24-hour in-house NN coverage was associated with lower rates of DR chest compressions/epinephrine. There was no difference in neonatal outcomes based on type of coverage; however, further studies are needed as ecological fallacy cannot be ruled out.

KEY POINTS

· Lower rates of DR cardiopulmonary resuscitation with 24h in-house NN coverage. · The type of 24h in-house coverage was not associated with mortality and/or major morbidity.. · High-volume centers more often have 24h in-house neonatal fellow coverage.

A Review and Discussion of Full-Time Equivalency and Appropriate Compensation Models for an Adult Intensivist in the United States Across Various Base Specialties

OBJECTIVES

Physicians with training in anesthesiology, emergency medicine, internal medicine, neurology, and surgery may gain board certification in critical care medicine upon completion of fellowship training. These clinicians often only spend a portion of their work effort in the ICU. Other work efforts that benefit an ICU infrastructure, but do not provide billing opportunities, include education, research, and administrative duties. For employed or contracted physicians, there is no singular definition of what constitutes an intensive care full-time equivalent (FTE). Nevertheless, hospitals often consider FTEs in assessing hiring needs, salary, and eligibility for benefits.

DATA SOURCES

Review of existing literature, expert opinion.

STUDY SELECTION

Not applicable.

DATA EXTRACTION

Not applicable.

DATA SYNTHESIS

Not applicable.

CONCLUSIONS

Understanding how an FTE is calculated, and the fraction of an FTE to be assigned to a particular cost center, is therefore important for intensivists of different specialties, as many employment models assign salary and benefits to a base specialty department and not necessarily the ICU.

Defining Intensivists: A Retrospective Analysis of the Published Studies in the United States, 2010-2020

OBJECTIVES

The Society of Critical Care Medicine last published an intensivist definition in 1992. Subsequently, there have been many publications relating to intensivists. Our purpose is to assess how contemporary studies define intensivist physicians.

DESIGN

Systematic search of PubMed, Embase, and Web of Science (2010-2020) for publication titles with the terms intensivist, and critical care or intensive care physician, specialist, or consultant. We included studies focusing on adult U.S. intensivists and excluded non-data-driven reports, non-U.S. publications, and pediatric or neonatal ICU reports. We aggregated the study title intensivist nomenclatures and parsed Introduction and Method sections to discern the text used to define intensivists. Fourteen parameters were found and grouped into five definitional categories: A) No definition, B) Background training and certification, C) Works in ICU, D) Staffing, and E) Database related. Each study was re-evaluated against these parameters and grouped into three definitional classes (single, multiple, or no definition). The prevalence of each parameter is compared between groups using Fisher exact test.

SETTING

U.S. adult ICUs and databases.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 657 studies, 105 (16%) met inclusion criteria. Within the study titles, 17 phrases were used to describe an intensivist; these were categorized as intensivist in 61 titles (58%), specialty intensivist in 30 titles (29%), and ICU/critical care physician in 14 titles (13%). Thirty-one studies (30%) used a single parameter (B-E) as their definition, 63 studies (60%) used more than one parameter (B-E) as their definition, and 11 studies (10%) had no definition (A). The most common parameter "Works in ICU" (C) in 52 studies (50%) was more likely to be used in conjunction with other parameters rather than as a standalone parameter (multiple parameters vs single-parameter studies; 73% vs 17%; p < 0.0001).

CONCLUSIONS

There was no consistency of intensivist nomenclature or definitions in contemporary adult intensivist studies in the United States.

Overnight staffing in Canadian neonatal and pediatric intensive care units

Aim

Infants and children who require specialized medical attention are admitted to neonatal and pediatric intensive care units (ICUs) for continuous and closely supervised care. Overnight in-house physician coverage is frequently considered the ideal staffing model. It remains unclear how often this is achieved in both pediatric and neonatal ICUs in Canada. The aim of this study is to describe overnight in-house physician staffing in Canadian pediatric and level-3 neonatal ICUs (NICUs) in the pre-COVID-19 era.

Methods

A national cross-sectional survey was conducted in 34 NICUs and 19 pediatric ICUs (PICUs). ICU directors or their delegates completed a 29-question survey describing overnight staffing by resident physicians, fellow physicians, nurse practitioners, and attending physicians. A comparative analysis was conducted between ICUs with and without in-house physicians.

Results

We obtained responses from all 34 NICUs and 19 PICUs included in this study. A total of 44 ICUs (83%) with in-house overnight physician coverage provided advanced technologies, such as extracorporeal life support, and included all ICUs that catered to patients with cardiac, transplant, or trauma conditions. Residents provided the majority of overnight coverage, followed by the Critical Care Medicine fellows. An attending physician was in-house overnight in eight (15%) out of the 53 ICUs, seven of which were NICUs. Residents participating in rotations in the ICU would often have rotation durations of less than 6 weeks and were often responsible for providing care during shifts lasting 20-24 h.

Conclusion

Most PICUs and level-3 NICUs in Canada have a dedicated in-house physician overnight. These physicians are mainly residents or fellows, but a notable variation exists in this arrangement. The potential effects on patient outcomes, resident learning, and physician satisfaction remain unclear and warrant further investigation.

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.

The magnitude of mortality and its predictors among adult patients admitted to the Intensive care unit in Amhara Regional State, Northwest Ethiopia

Despite mortality in intensive care units (ICU) being a global public health problem, it is higher in developing countries, including Ethiopia. However, insufficient evidence is established concerning mortality in the ICU and its predictors. This study aimed to assess the magnitude of ICU mortality and its predictors among patients at Tibebe Ghion specialized hospital, Northwest Ethiopia, 2021. A retrospective cross-sectional study was conducted from February 24th, 2019, to January 24th, 2021. Data were collected from medical records by using pretested structured data retrieval checklist. The collected data was entered into Epi-data version 3.1 and analyzed using R version 4.0 software. Descriptive statistics computed. A simple logistic analysis was run (at 95% CI and p-value < 0.05) to identify the determinants for ICU mortality. A total of 568 study participants' charts were reviewed. The median length of ICU stay was four days. Head trauma and shock were the leading causes of ICU admissions and mortality. The overall mortality rate of the ICU-admitted patients was 29.6% (95% CI: 26%, 33%). Admission in 2020 (AOR = 0.51; 95%CI: 0.31, 0.85), having altered mentation (AOR = 13.44; 95%CI: 5.77, 31.27), mechanical ventilation required at admission (AOR = 4.11; 95%CI: 2.63, 6.43), and stayed < 5 days in the ICU (AOR = 3.74; 95%CI: 2.31, 6.06) were significantly associated with ICU mortality. The magnitude of the ICU mortality rate was moderate. Years of admission, altered mentation, mechanical ventilation required at admission, and days of stay in the ICU were the predictors for ICU mortality. This finding underscores the importance of interventions to reduce ICU mortality.

Quality indicators in intensive care medicine for Germany - fourth edition 2022

The measurement of quality indicators supports quality improvement initiatives. The German Interdisciplinary Society of Intensive Care Medicine (DIVI) has published quality indicators for intensive care medicine for the fourth time now. After a scheduled evaluation after three years, changes in several indicators were made. Other indicators were not changed or only minimally. The focus remained strongly on relevant treatment processes like management of analgesia and sedation, mechanical ventilation and weaning, and infections in the ICU. Another focus was communication inside the ICU. The number of 10 indicators remained the same. The development method was more structured and transparency was increased by adding new features like evidence levels or author contribution and potential conflicts of interest. These quality indicators should be used in the peer review in intensive care, a method endorsed by the DIVI. Other forms of measurement and evaluation are also reasonable, for example in quality management. This fourth edition of the quality indicators will be updated in the future to reflect the recently published recommendations on the structure of intensive care units by the DIVI.

Association between better night-shift nurse staffing and surgical outcomes: A retrospective cohort study using a nationwide inpatient database in Japan

INTRODUCTION

Although many studies have investigated the relationship between patient outcomes and the level of nurse staffing, little is known about the association between increased night-shift nurse staffing and patient outcomes. In the Japanese universal health insurance system, a new scheme of additional financial incentives for acute care hospitals was launched in 2012 to increase the number of nurses during the night shift in general wards. The objective of this study was to investigate whether an additional financial incentive to increase night-shift nurse staffing in general wards was associated with better patient outcomes.

DESIGN

Adoption of the above-mentioned scheme of additional financial incentives was used as a natural experiment, and the difference-in-differences method was conducted to evaluate the effect of the scheme. The study was performed using a nationwide inpatient database and hospital information in Japan.

METHODS

To conduct a difference-in-differences analysis, first, hospitals with and without increased night-shift nurse staffing were matched using propensity score matching. A patient-level difference-in-differences analysis was then conducted. The intervention group comprised the hospitals that adopted the new scheme of additional financial incentives. The outcome measures were in-hospital mortality, failure to rescue, and length of hospital stay.

RESULTS

Subjects were 403,971 adult patients who underwent planned major surgeries in Japanese acute care hospitals from April 2012 to March 2018. The adjusted difference-in-differences estimates were not significant for in-hospital mortality (odds ratio: 0.83; 95% confidence interval: 0.68 to 1.01; p = 0.07) or failure to rescue (odds ratio: 0.92; 95% confidence interval: 0.73 to 1.14; p = 0.44). The adjusted difference-in-differences estimate for length of hospital stay was significant (percent change: -3.2%; 95% confidence interval: -6.1 to -0.3%; p = 0.029), indicating that the adoption of the scheme was associated with a decreased length of hospital stay.

CONCLUSIONS

Increased night-shift nurse staffing was not associated with a decrease in in-hospital mortality or failure to rescue, but it was associated with a reduction in the length of hospital stay. It may be necessary to consider changes in policy content to make the policy more effective. The findings of this study are potentially useful for medical policymakers considering nurse staffing to decrease the length of stay, which may decrease costs.

CLINICAL RELEVANCE

This study showed that increased night-shift nurse staffing was not associated with a decrease in in-hospital mortality or failure to rescue, but it was associated with a reduction in the length of hospital stay. The examination of the effectiveness of increasing nurse staffing during a specific shift in acute care hospitals is potentially useful for health policymakers worldwide in their considerations of future nurse staffing policies.

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.

A Prospective Trial of an In-house Overnight Fellow Rotation in the Intensive Care Unit

Background

Although previous studies in academic intensive care units (ICUs) have found no improvement in patient care outcomes with in-house overnight attending physician coverage compared with home call coverage, the effect of in-house supervision on trainee education and well-being is less clear. In addition, no studies have examined the effect of in-house coverage by fellow physicians overnight.

Objective

What is the impact of an in-house overnight critical care fellow on resident, fellow, and attending perception of patient safety, house staff education, and house staff well-being?

Methods

A prospective trial alternating 2-week periods of in-house overnight critical care fellow coverage with 2-week periods of home call coverage was performed in our tertiary medical ICU. Residents, fellows, and attendings were surveyed to evaluate perceptions of the night fellows' impact on patient care, communication, supervision, educational experience, autonomy, well-being, and job satisfaction.

Results

Over the 6-month study period, surveys were sent to 83 residents, 22 fellows, and 23 attendings, with completion by 56 (67%), 22 (100%), and 16 (70%), respectively. Overall, 89% of residents, 68% of fellows, and 81% of attendings reported perceived improvements in patient care with an in-house fellow. The in-house fellow was also associated with improved well-being in 79% of residents and 73% of fellows, and 82% of residents felt that it positively impacted education.

Conclusion

As compared with the traditional home call system, an in-house night critical care fellow can improve the perception of patient care, trainee well-being, and education in a tertiary ICU at an academic hospital.

Association of patient-to-intensivist ratio with hospital mortality in Australia and New Zealand

Purpose

The impact of intensivist workload on intensive care unit (ICU) outcomes is incompletely described and assessed across healthcare systems and countries. We sought to examine the association of patient-to-intensivist ratio (PIR) with hospital mortality in Australia/New Zealand (ANZ) ICUs.

Methods

We conducted a retrospective study of adult admissions to ANZ ICUs (August 2016–June 2018) using two cohorts: “narrow”, based on previously used criteria including restriction to ICUs with a single daytime intensivist; and “broad”, refined by individual ICU daytime staffing information. The exposure was average daily PIR and the outcome was hospital mortality. We used summary statistics to describe both cohorts and multilevel multivariable logistic regression models to assess the association of PIR with mortality. In each, PIR was modeled using restricted cubic splines to allow for non-linear associations. The broad cohort model included non-PIR physician and non-physician staffing covariables.

Results

The narrow cohort of 27,380 patients across 67 ICUs (predicted mortality: median 1.2% [IQR 0.4–1.4%]; mean 5.9% [sd 13.2%]) had a median PIR of 10.1 (IQR 7–14). The broad cohort of 91,206 patients across 73 ICUs (predicted mortality: 1.9% [0.6–6.5%]; 7.6% [14.9%]) had a median PIR of 7.8 (IQR 5.8–10.2). We found no association of PIR with mortality in either the narrow (PIR 1st spline term odds ratio [95% CI]: 1 [0.94, 1.06], Wald testing of spline terms p = 0.61) or the broad (1.02 [0.97, 1.07], p = 0.4) cohort.

Conclusion

We found no association of PIR with hospital mortality across ANZ ICUs. The low cohort predicted mortality may limit external validity.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00134-021-06575-z.

Transition to an In-House Night Float System for Critical Care Fellows: Resident Experience, Morbidity, and Mortality in a Rural Academic Hospital

Background

In-house night call systems for ICUs are frequently implemented to enable hands-on patient care and provide direct supervision of resident physicians at night. Previous studies have highlighted the benefits of an in-house night float (NF) such as minimized time to intervention but failed to consistently demonstrate an improvement in patient outcomes. This study aimed to evaluate the impact of an in-house critical care fellow at night on the resident experience and assess for impact on patient morbidity and mortality.

Methods

An in-house overnight critical care fellow shift was implemented at West Virginia University Hospital in 2018. Resident physicians rotating overnight in the medical ICU (MICU) for six-month periods before and after the intervention were anonymously surveyed. A retrospective chart review of 300 patients admitted overnight to the MICU was performed. Multiple patient outcomes from the pre (2017) and post (2018) intervention periods were collected and compared using a two-sample t-test.

Results

In the post-intervention survey, nearly every element of resident experience improved (availability of support, comfort in performing invasive procedures, and input in treatment plans), and far fewer residents felt overwhelmed relative to the pre-intervention survey. The resident experience markedly improved with the addition of an in-house critical care fellow.

For the retrospective chart review, both groups had similar severity of illness and there was no change in ICU or hospital length of stay. No difference in mortality was found, though the study was underpowered for this outcome. For secondary measures, there was no difference in mechanical ventilation or use days, though more procedures performed were overnight compared to the former staffing model.

Conclusions

Implementation of an in-house overnight critical care fellow shift in the MICU positively impacted resident experience without worsening patient outcomes. The intervention did not worsen measures of morbidity or mortality but did lead to an increased number of procedures performed overnight. The model of in-house NF coverage continues to be preferred by clinicians.

Advanced Practice Provider-inclusive Staffing Models and Patient Outcomes in Pediatric Critical Care

BACKGROUND

Pediatric intensive care units (PICUs) are increasingly staffed with advanced practice providers (APPs), supplementing traditional physician staffing models.

OBJECTIVES

We evaluate the effect of APP-inclusive staffing models on clinical outcomes and resource utilization in US PICUs.

RESEARCH DESIGN

Retrospective cohort study of children admitted to PICUs in 9 states in 2016 using the Healthcare Cost and Utilization Project's State Inpatient Databases. PICU staffing models were assessed using a contemporaneous staffing survey. We used multivariate regression to examine associations between staffing models with and without APPs and outcomes.

MEASURES

The primary outcome was in-hospital mortality. Secondary outcomes included odds of hospital acquired conditions and ICU and hospital lengths of stay.

RESULTS

The sample included 38,788 children in 40 PICUs. Patients admitted to PICUs with APP-inclusive staffing were younger (6.1±5.9 vs. 7.1±6.2 y) and more likely to have complex chronic conditions (64% vs. 43%) and organ failure on admission (25% vs. 22%), compared with patients in PICUs with physician-only staffing. There was no difference in mortality between PICU types [adjusted odds ratio (AOR): 1.23, 95% confidence interval (CI): 0.83-1.81, P=0.30]. Patients in PICUs with APP-inclusive staffing had lower odds of central line-associated blood stream infections (AOR: 0.76, 95% CI: 0.59-0.98, P=0.03) and catheter-associated urinary tract infections (AOR: 0.73, 95% CI: 0.61-0.86, P<0.001). There were no differences in lengths of stay.

CONCLUSIONS

Despite being younger and sicker, children admitted to PICUs with APP-inclusive staffing had no increased odds of mortality and lower odds of some hospital acquired conditions compared with those in PICUs with physician-only staffing. Further research can inform APP integration strategies which optimize outcomes.

Publication and related bias in quantitative health services and delivery research: a multimethod study

Background

Bias in the publication and reporting of research findings (referred to as publication and related bias here) poses a major threat in evidence synthesis and evidence-based decision-making. Although this bias has been well documented in clinical research, little is known about its occurrence and magnitude in health services and delivery research.

Objectives

To obtain empirical evidence on publication and related bias in quantitative health services and delivery research; to examine current practice in detecting/mitigating this bias in health services and delivery research systematic reviews; and to explore stakeholders’ perception and experiences concerning such bias.

Methods

The project included five distinct but interrelated work packages. Work package 1 was a systematic review of empirical and methodological studies. Work package 2 involved a survey (meta-epidemiological study) of randomly selected systematic reviews of health services and delivery research topics (n = 200) to evaluate current practice in the assessment of publication and outcome reporting bias during evidence synthesis. Work package 3 included four case studies to explore the applicability of statistical methods for detecting such bias in health services and delivery research. In work package 4 we followed up four cohorts of health services and delivery research studies (total n = 300) to ascertain their publication status, and examined whether publication status was associated with statistical significance or perceived ‘positivity’ of study findings. Work package 5 involved key informant interviews with diverse health services and delivery research stakeholders (n = 24), and a focus group discussion with patient and service user representatives (n = 8).

Results

We identified only four studies that set out to investigate publication and related bias in health services and delivery research in work package 1. Three of these studies focused on health informatics research and one concerned health economics. All four studies reported evidence of the existence of this bias, but had methodological weaknesses. We also identified three health services and delivery research systematic reviews in which findings were compared between published and grey/unpublished literature. These reviews found that the quality and volume of evidence and effect estimates sometimes differed significantly between published and unpublished literature. Work package 2 showed low prevalence of considering/assessing publication (43%) and outcome reporting (17%) bias in health services and delivery research systematic reviews. The prevalence was lower among reviews of associations than among reviews of interventions. The case studies in work package 3 highlighted limitations in current methods for detecting these biases due to heterogeneity and potential confounders. Follow-up of health services and delivery research cohorts in work package 4 showed positive association between publication status and having statistically significant or positive findings. Diverse views concerning publication and related bias and insights into how features of health services and delivery research might influence its occurrence were uncovered through the interviews with health services and delivery research stakeholders and focus group discussion conducted in work package 5.

Conclusions

This study provided prima facie evidence on publication and related bias in quantitative health services and delivery research. This bias does appear to exist, but its prevalence and impact may vary depending on study characteristics, such as study design, and motivation for conducting the evaluation. Emphasis on methodological novelty and focus beyond summative assessments may mitigate/lessen the risk of such bias in health services and delivery research. Methodological and epistemological diversity in health services and delivery research and changing landscape in research publication need to be considered when interpreting the evidence. Collection of further empirical evidence and exploration of optimal health services and delivery research practice are required.

Study registration

This study is registered as PROSPERO CRD42016052333 and CRD42016052366.

Funding

This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 33. See the NIHR Journals Library website for further project information.

Determining the Association Between End-of-Life Care Resources and Patient Outcomes in Pennsylvania ICUs

OBJECTIVES

As ICUs are increasingly a site of end-of-life care, many have adopted end-of-life care resources. We sought to determine the association of such resources with outcomes of ICU patients.

DESIGN

Retrospective cohort study.

SETTING

Pennsylvania ICUs.

PATIENTS

Medicare fee-for-service beneficiaries.

INTERVENTIONS

Availability of any of one hospital-based resource (palliative care consultants) or four ICU-based resources (protocol for withdrawal of life-sustaining therapy, triggers for automated palliative care consultation, protocol for family meetings, and palliative care clinicians embedded in ICU rounds).

MEASUREMENTS AND MAIN RESULTS

In mixed-effects regression analyses, admission to a hospital with end-of-life resources was not associated with mortality, length of stay, or treatment intensity (mechanical ventilation, hemodialysis, tracheostomy, gastrostomy, artificial nutrition, or cardiopulmonary resuscitation); however, it was associated with a higher likelihood of discharge to hospice (odds ratio, 1.58; 95% CI, 1.11-2.24), an effect that was driven by ICU-based resources (odds ratio, 1.37; 95% CI, 1.04-1.81) rather than hospital-based resources (odds ratio, 1.19; 95% CI, 0.83-1.71). Instrumental variable analysis using differential distance (defined as the additional travel distance beyond the hospital closest to a patient's home needed to reach a hospital with end-of-life resources) demonstrated that among those for whom differential distance would influence receipt of end-of-life resources, admission to a hospital with such resources was not associated with any outcome.

CONCLUSIONS

ICU-based end-of-life care resources do not appear to change mortality but are associated with increased hospice utilization. Given that this finding was not confirmed by the instrumental variable analysis, future studies should attempt to verify this finding, and identify specific resources or processes of care that impact the care of ICU patients at the end of life.

Nurse Practitioners and Physician Assistants in Acute and Critical Care: A Concise Review of the Literature and Data 2008-2018

OBJECTIVES

To provide a concise review of the literature and data pertaining to the use of nurse practitioners and physician assistants, collectively called advanced practice providers, in ICU and acute care settings.

DATA SOURCES

Detailed search strategy using the databases PubMed, Ovid MEDLINE, and the Cumulative Index of Nursing and Allied Health Literature for the time period from January 2008 to December 2018.

STUDY SELECTION

Studies addressing nurse practitioner, physician assistant, or advanced practice provider care in the ICU or acute care setting.

DATA EXTRACTION

Relevant studies were reviewed, and the following aspects of each study were identified, abstracted, and analyzed: study population, study design, study aims, methods, results, and relevant implications for critical care practice.

DATA SYNTHESIS

Five systematic reviews, four literature reviews, and 44 individual studies were identified, reviewed, and critiqued. Of the research studies, the majority were retrospective with others being observational, quasi-experimental, or quality improvement, along with two randomized control trials. Overall, the studies assessed a variety of effects of advanced practice provider care, including on length of stay, mortality, and quality-related metrics, with a majority demonstrating similar or improved patient care outcomes.

CONCLUSIONS

Over the past 10 years, the number of studies assessing the impact of advanced practice providers in acute and critical care settings continue to increase. Collectively, these studies identify the value of advanced practice providers in patient care management, continuity of care, improved quality and safety metrics, patient and staff satisfaction, and on new areas of focus including enhanced educational experience of residents and fellows.

Sleep and Work in ICU Physicians During a Randomized Trial of Nighttime Intensivist Staffing

OBJECTIVES

To compare sleep, work hours, and behavioral alertness in faculty and fellows during a randomized trial of nighttime in-hospital intensivist staffing compared with a standard daytime intensivist model.

DESIGN

Prospective observational study.

SETTING

Medical ICU of a tertiary care academic medical center during a randomized controlled trial of in-hospital nighttime intensivist staffing.

PATIENTS

Twenty faculty and 13 fellows assigned to rotations in the medical ICU during 2012.

INTERVENTIONS

As part of the parent study, there was weekly randomization of staffing model, stratified by 2-week faculty rotation. During the standard staffing model, there were in-hospital residents, with a fellow and faculty member available at nighttime by phone. In the intervention, there were in-hospital residents with an in-hospital nighttime intensivist. Fellows and faculty completed diaries detailing their sleep, work, and well-being; wore actigraphs; and performed psychomotor vigilance testing daily.

MEASUREMENTS AND MAIN RESULTS

Daily sleep time (mean hours [SD]) was increased for fellows and faculty in the intervention versus control (6.7 [0.3] vs 6.0 [0.2]; p < 0.001 and 6.7 [0.1] vs 6.4 [0.2]; p < 0.001, respectively). In-hospital work duration did not differ between the models for fellows or faculty. Total hours of work done at home was different for both fellows and faculty (0.1 [< 0.1] intervention vs 1.0 [0.1] control; p < 0.001 and 0.2 [< 0.1] intervention vs 0.6 [0.1] control; p < 0.001, respectively). Psychomotor vigilance testing did not demonstrate any differences. Measures of well-being including physical exhaustion and alertness were improved in faculty and fellows in the intervention staffing model.

CONCLUSIONS

Although no differences were measured in patient outcomes between the two staffing models, in-hospital nighttime intensivist staffing was associated with small increases in total sleep duration for faculty and fellows, reductions in total work hours for fellows only, and improvements in subjective well-being for both groups. Staffing models should consider how work duration, sleep, and well-being may impact burnout and sustainability.

Basic Primer for Finances in Academic Adult and Pediatric Pulmonary Divisions

The finances of academic medical centers (AMCs) are complex and rapidly evolving. This financial environment can have important effects on faculty expectations, compensation, and the work environment. This article describes the commonly used concepts and models related to financial decision-making in Pulmonology and Critical Care divisions across AMCs in the United States. Faculty clinical productivity is often measured by work relative value units, which are set nationally for a discrete piece of physician work and attempt to equilibrate aspects of care across specialties. The expected clinical productivity and salary for a given faculty member are often determined relative to one or more national benchmarks developed from data submitted by departments and schools across the country. The most commonly used benchmarks include those from the Association of American Medical Colleges and the Medical Group Management Association. Changes to the paradigm of fee for service reimbursement are beginning to change physician compensation and incentive structures. In addition, research and education are key academic missions for faculty. It is important to understand the limitations of extramural research funding and implications for the support of research infrastructure. Measurements of productivity within education have been less codified, but some centers are attempting to create educational relative value units similar to those used in clinical productivity. In summary, faculty should understand basic concepts of finances. This knowledge includes a common set of terms and concepts that can help all faculty understand basic financial considerations in their work and lead to success for their divisions.

Inter-country variability over time in the mortality of mechanically ventilated patients

Purpose

Variations in clinical characteristics and management and in the mortality of mechanically ventilated patients have not been sufficiently evaluated. We hypothesized that mortality shows a variability associated with country after adjustment for clinical characteristics and management.

Methods

Analysis of four studies carried out at 6-year intervals over an 18-year period. The studies included 26,024 patients (5183 in 1998, 4968 in 2004, 8108 in 2010, and 7765 in 2016) admitted to 1253 units from 38 countries. The primary outcome was 28-day mortality. We performed analyses using multilevel logistic modeling with mixed-random effects, including country as a random variable. To evaluate the effect of management strategies on mortality, a mediation analysis was performed.

Results

Adjusted 28-day mortality decreased significantly over time (first study as reference): 2004: odds ratio 0.82 (95% confidence interval [CI] 0.72–0.93); 2010: 0.63 (95% CI 0.53–0.75); 2016: 0.49 (95% CI 0.39–0.61). A protective ventilatory strategy and the use of continuous sedation mediated a moderate fraction of the effect of time on mortality in patients with moderate hypoxemia and without hypoxemia, respectively. Logistic multilevel modeling showed a significant effect of country on mortality: median odds ratio (MOR) in 1998: 2.02 (95% CI 1.57–2.48); in 2004: 1.76 (95% CI 1.47–2.06); in 2010: 1.55 (95% CI 1.37–1.74), and in 2016: 1.39 (95% CI 1.25–1.54).

Conclusions

These findings suggest that country could contribute, independently of confounder variables, to outcome. The magnitude of the effect of country decreased over time.

Clinical trials registered with http://www.clinicaltrials.gov (NCT02731898).

Electronic supplementary material

The online version of this article (10.1007/s00134-019-05867-9) contains supplementary material, which is available to authorized users.

Admission to the surgical intensive care unit during intensivist coverage is associated with lower incidence of postoperative acute kidney injury and shorter ventilator time

PURPOSE

This study aimed to assess the impact of intensivist coverage on the incidence of acute kidney injury (AKI) and ventilator time among patients postoperatively admitted to the intensive care unit (ICU).

METHODS

Adult patients postoperatively admitted to the ICU between January 2012 and December 2017 were retrospectively enrolled. The incidence of AKI within 72 h of surgery and the postoperative ventilator time were compared between the groups covered by intensivists and non-intensivists.

RESULTS

After propensity score (PS) matching, 5650 patients were included in the final analysis (2825 patients in each group). The incidence rate of AKI was significantly higher in the non-intensivist coverage group than in the intensivist coverage group (22.7% vs. 20.2%; P = 0.023). Moreover, logistic regression analysis in the PS-matched cohort showed that the incidence of postoperative AKI in the non-intensivist coverage group increased by 16% compared to that in the intensivist coverage group (odds ratio 1.16, 95% confidence interval 1.02-1.32; P = 0.023). Additionally, the median time of ventilator use in the non-intensivist coverage group was significantly longer than that in the intensivist coverage group [7.8 (interquartile range, IQR 2.6-13.8) h vs. 5.3 (1.8-8.3) h; P < 0.001].

CONCLUSION

High-intensity intensivist coverage is associated with a lower risk of postoperative AKI and shorter postoperative ventilator times. These findings suggested that in addition to medical trainees, initial management of surgical ICU patients by intensivists may lower the risk of AKI and facilitate early weaning from mechanical ventilation.

Interprofessional Care and Teamwork in the ICU

OBJECTIVES

We describe the importance of interprofessional care in modern critical care medicine. This review highlights the essential roles played by specific members of the interprofessional care team, including patients and family members, and discusses quality improvement initiatives that require interprofessional collaboration for success.

DATA SOURCES

Studies were identified through MEDLINE search using a variety of search phrases related to interprofessional care, critical care provider types, and quality improvement initiatives. Additional articles were identified through a review of the reference lists of identified articles.

STUDY SELECTION

Original articles, review articles, and systematic reviews were considered.

DATA EXTRACTION

Manuscripts were selected for inclusion based on expert opinion of well-designed or key studies and review articles.

DATA SYNTHESIS

"Interprofessional care" refers to care provided by a team of healthcare professionals with overlapping expertise and an appreciation for the unique contribution of other team members as partners in achieving a common goal. A robust body of data supports improvement in patient-level outcomes when care is provided by an interprofessional team. Critical care nurses, advanced practice providers, pharmacists, respiratory care practitioners, rehabilitation specialists, dieticians, social workers, case managers, spiritual care providers, intensivists, and nonintensivist physicians each provide unique expertise and perspectives to patient care, and therefore play an important role in a team that must address the diverse needs of patients and families in the ICU. Engaging patients and families as partners in their healthcare is also critical. Many important ICU quality improvement initiatives require an interprofessional approach, including Awakening and Breathing Coordination, Delirium, Early Exercise/Mobility, and Family Empowerment bundle implementation, interprofessional rounding practices, unit-based quality improvement initiatives, Patient and Family Advisory Councils, end-of-life care, coordinated sedation awakening and spontaneous breathing trials, intrahospital transport, and transitions of care.

CONCLUSIONS

A robust body of evidence supports an interprofessional approach as a key component in the provision of high-quality critical care to patients of increasing complexity and with increasingly diverse needs.

Near-simultaneous intensive care unit (ICU) admissions and all-cause mortality: a cohort study

PURPOSE

Prior studies have reported the adverse effects of strain on patient outcomes. There is a paucity of literature about a type of strain that may be caused by near-simultaneous intensive care unit (ICU) admissions. We hypothesized that when multiple admissions arrive nearly at the same time, the ICU teams are excessively strained, and this leads to unfavorable patient outcomes.

METHODS

This is a retrospective cohort study of consecutive adult patients admitted to an academic medical ICU of a tertiary referral center over five consecutive years. Primary outcomes were the all-cause hospital and ICU mortality.

RESULTS

We enrolled 13,234 consecutive ICU admissions during the study period. One-fourth of the admissions had an elapsed time since the last admission (ETLA) of < 55 min. Near-simultaneous admissions (NSA) had on average, a higher unadjusted odds ratio (OR) of ICU death of 1.16 (95% CI 1-1.35, P = 0.05), adjusted 1.23 (95% CI 1.04-1.44, P = 0.01), unadjusted hospital death of 1.11 (95% CI 0.99-1.24, P = 0.06), adjusted 1.20 (95% 1.05-1.35, P = 0.004), and a lower adjusted OR of home discharge of 0.91 (95% CI 0.84-0.99, P = 0.04). NSA was associated with 0.16 (95% CI 0.04-0.29, P = 0.01) added days in the ICU. For each incremental unit increase of the logarithmic transformation of ETLA [log (ETLA in minutes)], the average adjusted hospital mortality OR incrementally decreased by an added average OR of 0.93 (95% CI 0.89‒0.97, P = 0.001).

CONCLUSION

Our results suggest that near-simultaneous ICU admissions (NSA) are frequent and are associated with a dose-dependent effect on mortality, length of stay, and odds of home versus nursing facility discharge.

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.

Nighttime and non-business days are not associated with increased risk of in-hospital mortality in patients with severe sepsis in intensive care units in Japan: The JAAM FORECAST study

PURPOSE

Hospital services are reduced during off-hour such as nighttime or weekend. Investigations of the off-hour effect on initial management and outcomes in sepsis are very limited. Thus, we tested the hypothesis that patients who were diagnosed with severe sepsis during the nighttime or on non-business days had altered initial management and clinical outcomes.

MATERIALS AND METHODS

Patients with severe sepsis from 59 ICUs between 2016 and 2017 were enrolled. The patients were categorized according to the diagnosis time or day and were then compared. The primary outcome was in-hospital mortality.

RESULTS

One thousand one hundred and forty-eight patients were analyzed; 769 daytime patients, vs. 379 nighttime patients, and 791 business day patients vs. 357 non-business day patients. There were no significant differences in in-hospital mortality between either daytime and nighttime (24.4% vs. 21.4%, P = .27; nighttime, adjusted odds ratio [OR] 1.17, 95% confidence interval [CI], 0.87-1.59, P = .30) or between business and non-business days (22.9% vs. 24.6%, P = .55; non-business day, adjusted OR 0.85, 95% CI 0.60-1.22, P = .85). Time to antibiotics was significantly shorter in the nighttime (114 vs. 89 min, P = .0055).

CONCLUSIONS

Nighttime and weekends were not associated with increased in-hospital mortality of severe sepsis.

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.

Nighttime is associated with decreased survival for out of hospital cardiac arrests: A meta-analysis of observational studies

INTRODUCTION

The relationship between time of day and the clinical outcomes of patients with out-of-hospital cardiac arrest (OHCA) remains inconclusive. We undertook a meta-analysis to assess the available evidence on the relationship between nighttime and prognosis for patients with OHCA.

MATERIALS AND METHODS

PubMed and EMBASE were searched through June 20, 2018, to identify all studies assessing the relationship between nighttime and prognosis for patients with OHCA. Random effects modes were used to estimate odds ratios (ORs) with 95% confidence intervals (CIs).

RESULTS

Eight observational studies met the inclusion criteria. Meta-analysis of 8 studies showed that compared with nighttime, the daytime OHCA patients had higher 1-month/in-hospital survival (OR, 1.25; 95% CI, 1.15-1.37; P = 0.00), with high heterogeneity among the studies (I² = 82.8%, P = 0.00).

CONCLUSIONS

Patients who experienced OHCA during the nighttime had lower 1-month/in-hospital survival than those with daytime OHCA. In addition to arrest event and pre-hospital care factors, patients' comorbidity and hospital-based care may also be responsible for lower survival at night.

Telemedicine/Virtual ICU: Where Are We and Where Are We Going?

Intensive care unit telemedicine (tele-ICU) is technology enabled care delivered from off-site locations that was developed to address the increasing complexity of patients and insufficient supply of intensivists. Although tele-ICU deployment is increasing, it continues to cover only a small proportion of ICU patients. This is primarily due to expense, with first-year costs exceeding $50,000 per bed. Meta-analyses of outcomes indicate survival benefits and quality improvements, albeit with significant heterogeneity. Depending on the context, a wide range of estimated incremental cost-effectiveness ratios reflects variable effects on cost and outcomes, such as mortality or length of stay. Tele-ICUs may fit within a hybrid model of care to complement high-intensity ICU staff coverage. However, more research is required to foster consensus and determine best practices. This review summarizes data on tele-ICU structure, operations, outcomes, and costs. Evidence was extracted from meta-analyses, with secondary data from Cleveland Clinic's tele-ICU experience.

Risks and Rewards of Advanced Practice Providers in Cardiothoracic Surgery Training: National Survey

BACKGROUND

Changes in healthcare have led to increasing use of advanced practice providers (APPs), but their role in cardiothoracic surgery (CTS) education remains undefined. This study aimed to analyze the extent of APP use on the CTS team, their role within the hierarchy of clinical care, and the impact of physician extenders on CTS training from the resident perspective.

METHODS

CTS residents' responses to the 2017 Thoracic Surgery Residents Association/Thoracic Surgery Directors Association In-Service Training Examination survey regarding the role of APPs in specific clinical scenarios and perception of APP contribution to residents' educational environment were analyzed. Statistical analysis of categorical variables was performed in SPSS (version 22.0; IBM, Chicago, IL) using a Fisher's exact test and Pearson χ² test with statistical significance set at p < 0.05.

RESULTS

Response rate was 82.1% (280/341). The median number of employed APPs was 16 to 20, and 50.4% (n = 141) reported 11 to 25 physician extenders at their institution. The median numbers of APPs in the operating room, floor, and intensive care unit were three, three, and two, respectively. Overall impression of APPs was positive in 87.5% (n = 245) of respondents, with 47.7% (n = 133) "very positive" and 40.1% "positive" (n = 112). In general, residents reported greater resident involvement in postoperative issues and operative consults and greater APP involvement in floor issues; 72.5% of residents had not missed a surgical opportunity due to APPs, whereas 9.6% missed an opportunity due to APPs despite being at an appropriate level of training. Of those that reported missed opportunities 44% were integrated thoracic surgery residents. There were no significant differences in APPs' operative role based on resident seniority.

CONCLUSIONS

The overall impression of APPs among CTS residents was favorable, and they are more commonly involved in assisting on the floor or the operating room. Occasionally residents reported missing a surgical opportunity due to APPs. There is further opportunity to optimize and standardize their role within programs to improve clinical outcomes and enhance the CTS educational experience for residents.

Staffing and workforce issues in the pediatric intensive care unit

The health care industry is in the midst of incredible change, and unfortunately, change is not easy. The intensive care unit (ICU) plays a critical role in the overall delivery of care to patients in the hospital. Care in the ICU is expensive. One of the best ways of improving the value of care delivered in the ICU is to focus greater attention on the needs of the critical care workforce. Herein, we highlight three major areas of concern-the changing model of care delivery outside of the traditional four walls of the ICU, the need for greater diversity in the pediatric critical care workforce, and the widespread problem of professional burnout and its impact on patient care.

The Impact of Implementing an Intensivist Model With Nighttime In-Hospital Nocturnist and Effect on ICU Outcomes

BACKGROUND

Various intensivist staffing models have been suggested, but the long-term sustainability and outcomes vary and may not be sustained. We examined the impact of implementing a high-intensity intensivist coverage model with a nighttime in-house nocturnist (non-intensivist) and its effect on intensive care unit (ICU) outcomes.

METHODS

We obtained historical control baseline data from 2007 to 2011 and compared the same data from 2011 to 2015. The Acute Physiological and Chronic Health Evaluation outcomes system was utilized to collect clinical, physiological, and outcome data on all adult patients in the medical ICU and to provide severity-adjusted outcome predictions. The model consists of a mandatory in-house daytime intensivist service that leads multidisciplinary rounds, and an in-house nighttime coverage is provided by nocturnist (nonintensivists) with current procedural skills in airways management, vascular access, and commitment to supervise house staff as needed. The intensivist continues to be available remotely at nighttime for house staff and consultation with the nocturnist. A backup intensivist is available for surge management.

RESULTS

First year yielded improved throughput (2428 patients/year to 2627 then 2724 at fifth year). Case mix stable at 53.7 versus 55.2. The ICU length of stay decreased from 4.7 days (predicted 4.25 days) to 3.8 days (4.15) in first year; second year: 3.63 days (4.29 days); third year: 3.24 days (4.37), fourth year: 3.34 days (4.45), and fifth year: 3.61 days (4.42). Intensive care unit <24 hours readmission remained at 1%; >24 hours increased from 4% to 6%. Low-risk monitoring admissions remained at an average 17% (benchmark 17.18%). Intensive care unit mortality improved with standardized mortality ration averaging at 0.84. Resident satisfaction surveys improved.

CONCLUSIONS

Implementing an intensivist service with nighttime nocturnist staffing in a high-intensity large teaching hospital is feasible and improved ICU outcomes in a sustained manner that persisted after the initial implementation phase. The model resulted in reduced and sustained observed-to-predicted length of ICU stay.

Preparation and Evolving Role of the Acute Care Nurse Practitioner

Acute care nurse practitioners (ACNPs) are increasingly being employed as members of critical care teams, an outcome driven by increasing demand for intensive care services, a mandated reduction in house officer hours, and evidence supporting the ability of ACNPs to provide high-quality care as collaborative members of critical care teams. Integration of adult ACNPs into critical care teams is most likely to be successful when practitioners have appropriate training, supervision, and mentoring to facilitate their ability to practice efficiently and effectively. Accomplishing this goal requires understanding the educational preparation and skill set potential hires bring to the position as well as the development of an orientation program designed to integrate the practitioner into the critical care team. Pediatric ACNPs are also commonly employed in critical care settings; however, this commentary focuses on the adult ACNP role.

Quality indicators in intensive care medicine for Germany - third edition 2017

Quality improvement in medicine is depending on measurement of relevant quality indicators. The quality indicators for intensive care medicine of the German Interdisciplinary Society of Intensive Care Medicine (DIVI) from the year 2013 underwent a scheduled evaluation after three years. There were major changes in several indicators but also some indicators were changed only minimally. The focus on treatment processes like ward rounds, management of analgesia and sedation, mechanical ventilation and weaning, as well as the number of 10 indicators were not changed. Most topics remained except for early mobilization which was introduced instead of hypothermia following resuscitation. Infection prevention was added as an outcome indicator. These quality indicators are used in the peer review in intensive care, a method endorsed by the DIVI. A validity period of three years is planned for the quality indicators.