Twenty-four-hour intensivist staffing in teaching hospitals: tensions between safety today and safety tomorrow

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.

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.

Effect of Increased Inpatient Attending Physician Supervision on Medical Errors, Patient Safety, and Resident Education: A Randomized Clinical Trial

IMPORTANCE

While the relationship between resident work hours and patient safety has been extensively studied, little research has evaluated the role of attending physician supervision on patient safety.

OBJECTIVE

To determine the effect of increased attending physician supervision on an inpatient resident general medical service on patient safety and educational outcomes.

DESIGN, SETTING, AND PARTICIPANTS

This 9-month randomized clinical trial performed on an inpatient general medical service of a large academic medical center used a crossover design. Participants were clinical teaching attending physicians and residents in an internal medicine residency program.

INTERVENTIONS

Twenty-two faculty provided either (1) increased direct supervision in which attending physicians joined work rounds on previously admitted patients or (2) standard supervision in which attending physicians were available but did not join work rounds. Each faculty member participated in both arms in random order.

MAIN OUTCOMES AND MEASURES

The primary safety outcome was rate of medical errors. Resident education was evaluated via a time-motion study to assess resident participation on rounds and via surveys to measure resident and attending physician educational ratings.

RESULTS

Of the 22 attending physicians, 8 (36%) were women, with 15 (68%) having more than 5 years of experience. A total of 1259 patients (5772 patient-days) were included in the analysis. The medical error rate was not significantly different between standard vs increased supervision (107.6; 95% CI, 85.8-133.7 vs 91.1; 95% CI, 76.9-104.0 per 1000 patient-days; P = .21). Time-motion analysis of 161 work rounds found no difference in mean length of time spent discussing established patients in the 2 models (202; 95% CI, 192-212 vs 202; 95% CI, 189-215 minutes; P = .99). Interns spoke less when an attending physician joined rounds (64; 95% CI, 60-68 vs 55; 95% CI, 49-60 minutes; P = .008). In surveys, interns reported feeling less efficient (41 [55%] vs 68 [73%]; P = .02) and less autonomous (53 [72%] vs 86 [91%]; P = .001) with an attending physician present and residents felt less autonomous (11 [58%] vs 30 [97%]; P < .001). Conversely, attending physicians rated the quality of care higher when they participated on work rounds (20 [100%] vs 16 [80%]; P = .04).

CONCLUSIONS AND RELEVANCE

Increased direct attending physician supervision did not significantly reduce the medical error rate. In designing morning work rounds, residency programs should reconsider their balance of patient safety, learning needs, and resident autonomy.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03318198.

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.

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

BACKGROUND

Studies of nighttime intensivist staffing have yielded mixed results.

GOALS

To review the association of nighttime intensivist staffing with outcomes of intensive care unit (ICU) patients.

METHODS

We searched five databases (2000-2016) for studies comparing in-hospital nighttime intensivist staffing with other nighttime staffing models in adult ICUs and reporting mortality or length of stay. We abstracted data on staffing models, outcomes, and study characteristics and assessed study quality, using standardized tools. Meta-analyses used random effects models.

RESULTS

Eighteen studies met inclusion criteria: one randomized controlled trial and 17 observational studies. Overall methodologic quality was high. Studies included academic hospitals (n = 10), community hospitals (n = 2), or both (n = 6). Baseline clinician staffing included residents (n = 9), fellows (n = 4), and nurse practitioners or physician assistants (n = 2). Studies included both general and specialty ICUs and were geographically diverse. Meta-analysis (one randomized controlled trial; three nonrandomized studies with exposure limited to nighttime intensivist staffing with adjusted estimates of effect) demonstrated no association with mortality (odds ratio, 0.99; 95% confidence interval, 0.75-1.29). Secondary analyses including studies without risk adjustment, with a composite exposure of organizational factors, stratified by intensity of daytime staffing and by ICU type, yielded similar results. Minimal or no differences were observed in ICU and hospital length of stay and several other secondary outcomes.

CONCLUSIONS

Notwithstanding limitations of the predominantly observational evidence, our systematic review and meta-analysis suggests nighttime intensivist staffing is not associated with reduced ICU patient mortality. Other outcomes and alternative staffing models should be evaluated to further guide staffing decisions.

Supervision and autonomy of ophthalmology residents in the outpatient Clinic in the United States: a survey of ACGME-accredited programs

BACKGROUND

The development and demonstration of incremental trainee autonomy is required by the ACGME. However, there is scant published research concerning autonomy of ophthalmology residents in the outpatient clinic setting. This study explored the landscape of resident ophthalmology outpatient clinics in the United States.

METHODS

A link to an online survey using the QualtricsTM platform was emailed to the program directors of all 115 ACGME-accredited ophthalmology programs in the United States. Survey questions explored whether resident training programs hosted a continuity clinic where residents would see their own patients, and if so, the degree of faculty supervision provided therein. Metrics such as size of the resident program, number of faculty and clinic setting were also recorded. Correlations between the degree of faculty supervision and other metrics were explored.

RESULTS

The response rate was 94%; 69% of respondents indicated that their trainees hosted continuity clinics. Of those programs, 30% required a faculty member to see each patient treated by a resident, while 42% expected the faculty member to at least discuss (if not see) each patient. All programs expected some degree of faculty interaction based upon circumstances such as the level of training of the resident or complexity of the clinical situation. 67% of programs that tracked the contribution of the clinic to resident surgical caseloads reported that these clinics provided more than half of the resident surgical volumes. More ¾ of resident clinics were located in urban settings. The degree of faculty supervision did not correlate to any of the other metrics evaluated.

CONCLUSIONS

The majority of ophthalmology resident training programs in the United States host a continuity clinic located in an urban environment where residents follow their own patients. Furthermore, most of these clinics require supervising faculty to review both the patients seen and the medical documentation created by the resident encounters. The different degrees of faculty supervision outlined by this survey might provide a useful guide presuming they can be correlated with validated metrics of educational quality. Finally, this study could provide an adjunctive resource to current international efforts to standardize ophthalmic residency education.

Scheduling in the context of resident duty hour reform

Fuelled by concerns about resident health and patient safety, there is a general trend in many jurisdictions toward limiting the maximum duration of consecutive work to between 14 and 16 hours. The goal of this article is to assist institutions and residency programs to make a smooth transition from the previous 24- to 36-hour call system to this new model. We will first give an overview of the main types of coverage systems and their relative merits when considering various aspects of patient care and resident pedagogy. We will then suggest a practical step-by-step approach to designing, implementing, and monitoring a scheduling system centred on clinical and educational needs in the context of resident duty hour reform. The importance of understanding the impetus for change and of assessing the need for overall workflow restructuring will be explored throughout this process. Finally, as a practical example, we will describe a large, university-based teaching hospital network's transition from a traditional call-based system to a novel schedule that incorporates the new 16-hour duty limit.

Tempering pediatric hospitalist supervision of residents improves admission process efficiency without decreasing quality of care

BACKGROUND

Many academic pediatric hospital medicine (PHM) divisions have recently increased in-house supervision of residents, often providing 24/7 in-house attending coverage. Contrary to this trend, we removed mandated PHM attending input during the admission process. We present an evaluation of this process change.

METHODS

This cohort study compared outcomes between patients admitted to the PHM service before (July 1, 2011-September 30, 2011) and after (July 1, 2012-September 30, 2012) the process change. We evaluated time from admission request to inpatient orders, length of stay (LOS), frequency of change in antibiotic choice, and rapid response team (RRT) calls within 24 hours of admission. Data were obtained via chart abstraction and from administrative databases. Wilcoxon rank sum and Fisher exact tests were used for analysis.

RESULTS

We identified 182 and 210 admissions in the before and after cohorts, respectively. Median time between emergency department admission request and inpatient orders was significantly shorter after the change (123 vs 62 minutes, P < 0.001). We found no significant difference in LOS, the number of changes to initial resident antibiotic choice, standard of care, or RRTs called within the first 24 hours of admission.

CONCLUSION

Removing mandated attending input in decision making for PHM admissions significantly decreased time to inpatient resident admission orders without a change in measurable clinical outcomes.

A randomized trial of nighttime physician staffing in an intensive care unit

BACKGROUND

Increasing numbers of intensive care units (ICUs) are adopting the practice of nighttime intensivist staffing despite the lack of experimental evidence of its effectiveness.

METHODS

We conducted a 1-year randomized trial in an academic medical ICU of the effects of nighttime staffing with in-hospital intensivists (intervention) as compared with nighttime coverage by daytime intensivists who were available for consultation by telephone (control). We randomly assigned blocks of 7 consecutive nights to the intervention or the control strategy. The primary outcome was patients' length of stay in the ICU. Secondary outcomes were patients' length of stay in the hospital, ICU and in-hospital mortality, discharge disposition, and rates of readmission to the ICU. For length-of-stay outcomes, we performed time-to-event analyses, with data censored at the time of a patient's death or transfer to another ICU.

RESULTS

A total of 1598 patients were included in the analyses. The median Acute Physiology and Chronic Health Evaluation (APACHE) III score (in which scores range from 0 to 299, with higher scores indicating more severe illness) was 67 (interquartile range, 47 to 91), the median length of stay in the ICU was 52.7 hours (interquartile range, 29.0 to 113.4), and mortality in the ICU was 18%. Patients who were admitted on intervention days were exposed to nighttime intensivists on more nights than were patients admitted on control days (median, 100% of nights [interquartile range, 67 to 100] vs. median, 0% [interquartile range, 0 to 33]; P<0.001). Nonetheless, intensivist staffing on the night of admission did not have a significant effect on the length of stay in the ICU (rate ratio for the time to ICU discharge, 0.98; 95% confidence interval [CI], 0.88 to 1.09; P=0.72), ICU mortality (relative risk, 1.07; 95% CI, 0.90 to 1.28), or any other end point. Analyses restricted to patients who were admitted at night showed similar results, as did sensitivity analyses that used different definitions of exposure and outcome.

CONCLUSIONS

In an academic medical ICU in the United States, nighttime in-hospital intensivist staffing did not improve patient outcomes. (Funded by University of Pennsylvania Health System and others; ClinicalTrials.gov number, NCT01434823.).