Interfacility Referral Communication for PICU Transfer.

OBJECTIVES: For patients requiring transfer to a higher level of care, excellent interfacility communication is essential. Our objective was to characterize verbal handoffs for urgent interfacility transfers of children to the PICU and compare these characteristics with known elements of high-quality intrahospital shift-to-shift handoffs. DESIGN: Mixed methods retrospective study of audio-recorded referral calls between referring clinicians and receiving PICU physicians for urgent interfacility PICU transfers. SETTING: Academic tertiary referral PICU. PATIENTS: Children 0-18 years old admitted to a single PICU following interfacility transfer over a 4-month period (October 2019 to January 2020). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We reviewed interfacility referral phone calls for 49 patients. Referral calls between clinicians lasted a median of 9.7 minutes (interquartile range, 6.8-14.5 min). Most referring clinicians provided information on history (96%), physical examination (94%), test results (94%), and interventions (98%). Fewer clinicians provided assessments of illness severity (87%) or code status (19%). Seventy-seven percent of referring clinicians and 6% of receiving PICU physicians stated the working diagnosis. Only 9% of PICU physicians summarized information received. Interfacility handoffs usually involved: 1) indirect references to illness severity and diagnosis rather than explicit discussions, 2) justifications for PICU admission, 3) statements communicating and addressing uncertainty, and 4) statements indicating the referring hospital's reliance on PICU resources. Interfacility referral communication was similar to intrahospital shift-to-shift handoffs with some key differences: 1) use of contextual information for appropriate PICU triage, 2) difference in expertise between communicating clinicians, and 3) reliance of referring clinicians and PICU physicians on each other for accurate information and medical/transport guidance. CONCLUSIONS: Interfacility PICU referral communication shared characteristics with intrahospital shift-to-shift handoffs; however, communication did not adhere to known elements of high-quality handovers. Structured tools specific to PICU interfacility referral communication must be developed and investigated for effectiveness in improving communication and patient outcomes.

Effect on Patient Safety of a Resident Physician Schedule without 24-Hour Shifts.

BACKGROUND: The effects on patient safety of eliminating extended-duration work shifts for resident physicians remain controversial. METHODS: We conducted a multicenter, cluster-randomized, crossover trial comparing two schedules for pediatric resident physicians during their intensive care unit (ICU) rotations: extended-duration work schedules that included shifts of 24 hours or more (control schedules) and schedules that eliminated extended shifts and cycled resident physicians through day and night shifts of 16 hours or less (intervention schedules). The primary outcome was serious medical errors made by resident physicians, assessed by intensive surveillance, including direct observation and chart review. RESULTS: The characteristics of ICU patients during the two work schedules were similar, but resident physician workload, described as the mean (±SD) number of ICU patients per resident physician, was higher during the intervention schedules than during the control schedules (8.8±2.8 vs. 6.7±2.2). Resident physicians made more serious errors during the intervention schedules than during the control schedules (97.1 vs. 79.0 per 1000 patient-days; relative risk, 1.53; 95% confidence interval [CI], 1.37 to 1.72; P<0.001). The number of serious errors unitwide were likewise higher during the intervention schedules (181.3 vs. 131.5 per 1000 patient-days; relative risk, 1.56; 95% CI, 1.43 to 1.71). There was wide variability among sites, however; errors were lower during intervention schedules than during control schedules at one site, rates were similar during the two schedules at two sites, and rates were higher during intervention schedules than during control schedules at three sites. In a secondary analysis that was adjusted for the number of patients per resident physician as a potential confounder, intervention schedules were no longer associated with an increase in errors. CONCLUSIONS: Contrary to our hypothesis, resident physicians who were randomly assigned to schedules that eliminated extended shifts made more serious errors than resident physicians assigned to schedules with extended shifts, although the effect varied by site. The number of ICU patients cared for by each resident physician was higher during schedules that eliminated extended shifts. (Funded by the National Heart, Lung, and Blood Institute; ROSTERS ClinicalTrials.gov number, NCT02134847.).

Prevalence and Characteristics of Diagnostic Error in Pediatric Critical Care: A Multicenter Study.

OBJECTIVES: Effective interventions to prevent diagnostic error among critically ill children should be informed by diagnostic error prevalence and etiologies. We aimed to determine the prevalence and characteristics of diagnostic errors and identify factors associated with error in patients admitted to the PICU. DESIGN: Multicenter retrospective cohort study using structured medical record review by trained clinicians using the Revised Safer Dx instrument to identify diagnostic error (defined as missed opportunities in diagnosis). Cases with potential errors were further reviewed by four pediatric intensivists who made final consensus determinations of diagnostic error occurrence. Demographic, clinical, clinician, and encounter data were also collected. SETTING: Four academic tertiary-referral PICUs. PATIENTS: Eight hundred eighty-two randomly selected patients 0-18 years old who were nonelectively admitted to participating PICUs. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Of 882 patient admissions, 13 (1.5%) had a diagnostic error up to 7 days after PICU admission. Infections (46%) and respiratory conditions (23%) were the most common missed diagnoses. One diagnostic error caused harm with a prolonged hospital stay. Common missed diagnostic opportunities included failure to consider the diagnosis despite a suggestive history (69%) and failure to broaden diagnostic testing (69%). Unadjusted analysis identified more diagnostic errors in patients with atypical presentations (23.1% vs 3.6%, p = 0.011), neurologic chief complaints (46.2% vs 18.8%, p = 0.024), admitting intensivists greater than or equal to 45 years old (92.3% vs 65.1%, p = 0.042), admitting intensivists with more service weeks/year (mean 12.8 vs 10.9 wk, p = 0.031), and diagnostic uncertainty on admission (77% vs 25.1%, p < 0.001). Generalized linear mixed models determined that atypical presentation (odds ratio [OR] 4.58; 95% CI, 0.94-17.1) and diagnostic uncertainty on admission (OR 9.67; 95% CI, 2.86-44.0) were significantly associated with diagnostic error. CONCLUSIONS: Among critically ill children, 1.5% had a diagnostic error up to 7 days after PICU admission. Diagnostic errors were associated with atypical presentations and diagnostic uncertainty on admission, suggesting possible targets for intervention.

Invited Commentary: There's No Place Like Home-Integrating a Place-Based Approach to Understanding Sleep.

Light exposure at night impedes sleep and shifts the circadian clock. An extensive body of literature has linked sleep deprivation and circadian misalignment with cardiac disease, cancer, mental health disorders, and other chronic illnesses, as well as more immediate risks, such as motor vehicle crashes and occupational injuries. In this issue of the Journal, Zhong et al. (Am J Epidemiol. 2022;191(9):1532-1539) build on this literature, finding that in a cohort of 50,000 California teachers, artificial light at night, noise, green space, and air pollution were all associated with sleep disturbances. Light, noise, air pollution, and the lack of green space are problems inequitably distributed across the population, concentrated among vulnerable populations in inner cities. Zhong et al. provide novel data on the manner in which these local environmental exposures drive sleep deprivation. Future research should explore the degree to which place-based disparities in sleep in turn drive disparities in short and long-term health. Addressing home-based sleep disparities could be an avenue to addressing systemic racism and achieving environmental justice.

Research priorities to reduce risks from work hours and fatigue in the healthcare and social assistance sector.

BACKGROUND: The services of Healthcare and Social Assistance (HCSA) workers are needed by society around the clock. As a result, these workers are exposed to shift work and long work hours. The combination of demanding work schedules and other hazards in the HCSA work environment increases the health and safety risks to these workers, as well as to their patients/clients and the public. METHODS: This paper has three aims: (1) provide an overview of the burden of shift work, long hours, and related sleep and fatigue problems in this sector; (2) suggest research priorities that would improve these; and (3) discuss potential positive impacts of addressing these research priorities for the health and safety of workers and the public. The authors used a modified Delphi approach to anonymously rank-order priorities for improving HCSA worker health and safety and public safety. Input was also obtained from attendees at the 2019 National Institute for Occupational Safety and Health (NIOSH) Work Hours, Sleep, and Fatigue Forum. RESULTS: The highest rated research priorities were developing better designs for work schedules, and improving the HCSA culture and leadership approaches to shift work and long work hours. Additional priorities are identified. CONCLUSION: Research in these priority areas has the potential to benefit HCSA workers as well as their patients/clients, employers, and society.

Interns' perspectives on impacts of the COVID-19 pandemic on the medical school to residency transition.

BACKGROUND: The COVID-19 pandemic resulted in disruptions to medical school training and the transition to residency for new post-graduate year 1 resident-physicians (PGY1s). Therefore, the aim of this study was to understand the perspectives of United States PGY1s regarding the impact of the pandemic on these experiences. Our secondary aims were to understand how desire to practice medicine was impacted by the pandemic and whether PGY1s felt that they were able to meaningfully contribute to the COVID-19 response as students. METHOD: We conducted a national, cross-sectional study of PGY1s who had recently graduated from medical school in 2020. A survey was distributed to PGY1s from across specialties, in programs distributed throughout the United States. It included questions about medical school training during the pandemic, impact on graduation timing and transition to internship, concerns about caring for patients with COVID-19, desire to practice medicine, and ability to meaningfully contribute to the pandemic. Findings are presented using descriptive statistics and univariate logistic regression models. RESULTS: 1980 PGY1s consented to participate, 1463 completed the survey (74%), and 713 met criteria for this analysis. 77% of PGY1s reported that the pandemic adversely affected their connection with their medical school communities, and 58% reported that the pandemic impeded their preparation for intern year. 4% of PGY1s reported graduating medical school and practicing as an intern earlier than their expected graduation date. While the majority of PGY1s did not have a change in desire to practice medicine, PGY1s with concerns regarding personal health or medical conditions (OR 4.92 [95% CI 3.20-7.55] p < 0.0001), the health or medical conditions of others in the home (OR 4.41 [2.87-6.77], p < 0.0001]), and PGY1s with children (OR 2.37 [1.23-4.58], p < 0.0001) were more likely to report a decreased desire. CONCLUSIONS: The COVID pandemic disrupted the social connectedness and educational experiences of a majority of PGY1 residents in a sample of trainees in United States training programs. Those with health concerns and children had particularly challenging experiences. As the current and subsequent classes of PGY1s affected by COVID-19 proceed in their training, ongoing attention should be focused on their training needs, competencies, and well-being.

Pediatric Resident Engagement With an Online Critical Care Curriculum During the Intensive Care Rotation.

OBJECTIVES: Residents are often assigned online learning materials as part of blended learning models, superimposed on other patient care and learning demands. Data that describe the time patterns of when residents interact with online learning materials during the ICU rotation are lacking. We describe resident engagement with assigned online curricula related to time of day and ICU clinical schedules, using website activity data. DESIGN: Prospective cohort study examining curriculum completion data and cross-referencing timestamps for pre- and posttest attempts with resident schedules to determine the hours that they accessed the curriculum and whether or not they were scheduled for clinical duty. Residents at each site were cohorted based on two differing clinical schedules-extended duration (>24 hr) versus shorter (maximum 16 hr) shifts. SETTING: Two large academic children's hospitals. SUBJECTS: Pediatric residents rotating in the PICU from July 2013 to June 2017. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: One-hundred and fifty-seven pediatric residents participated in the study. The majority of residents (106/157; 68%) completed the curriculum, with no statistically significant association between overall curriculum completion and schedule cohort at either site. Residents made more test attempts at nighttime between 6 PM and 6 AM (1,824/2,828; 64%) regardless of whether they were scheduled for clinical duty. Approximately two thirds of test attempts (1,785/2,828; 63%) occurred when residents were not scheduled to work, regardless of time of day. Forty-two percent of all test attempts (1,199/2,828) occurred between 6 PM and 6 AM while off-duty, with 12% (342/2,828) occurring between midnight and 6 AM. CONCLUSIONS: Residents rotating in the ICU completed online learning materials mainly during nighttime and off-duty hours, including usage between midnight and 6 AM while off-duty. Increasing nighttime and off-duty workload may have implications for educational design and trainee wellness, particularly during busy, acute clinical rotations, and warrants further examination.

Prevalence of Continuous Pulse Oximetry Monitoring in Hospitalized Children With Bronchiolitis Not Requiring Supplemental Oxygen.

Importance: US national guidelines discourage the use of continuous pulse oximetry monitoring in hospitalized children with bronchiolitis who do not require supplemental oxygen. Objective: Measure continuous pulse oximetry use in children with bronchiolitis. Design, Setting, and Participants: A multicenter cross-sectional study was performed in pediatric wards in 56 US and Canadian hospitals in the Pediatric Research in Inpatient Settings Network from December 1, 2018, through March 31, 2019. Participants included a convenience sample of patients aged 8 weeks through 23 months with bronchiolitis who were not receiving active supplemental oxygen administration. Patients with extreme prematurity, cyanotic congenital heart disease, pulmonary hypertension, home respiratory support, neuromuscular disease, immunodeficiency, or cancer were excluded. Exposures: Hospitalization with bronchiolitis without active supplemental oxygen administration. Main Outcomes and Measures: The primary outcome, receipt of continuous pulse oximetry, was measured using direct observation. Continuous pulse oximetry use percentages were risk standardized using the following variables: nighttime (11 pm to 7 am), age combined with preterm birth, time after weaning from supplemental oxygen or flow, apnea or cyanosis during the present illness, neurologic impairment, and presence of an enteral feeding tube. Results: The sample included 3612 patient observations in 33 freestanding children's hospitals, 14 children's hospitals within hospitals, and 9 community hospitals. In the sample, 59% were male, 56% were white, and 15% were black; 48% were aged 8 weeks through 5 months, 28% were aged 6 through 11 months, 16% were aged 12 through 17 months, and 9% were aged 18 through 23 months. The overall continuous pulse oximetry monitoring use percentage in these patients, none of whom were receiving any supplemental oxygen or nasal cannula flow, was 46% (95% CI, 40%-53%). Hospital-level unadjusted continuous pulse oximetry use ranged from 2% to 92%. After risk standardization, use ranged from 6% to 82%. Intraclass correlation coefficient suggested that 27% (95% CI, 19%-36%) of observed variation was attributable to unmeasured hospital-level factors. Conclusions and Relevance: In a convenience sample of children hospitalized with bronchiolitis who were not receiving active supplemental oxygen administration, monitoring with continuous pulse oximetry was frequent and varied widely among hospitals. Because of the apparent absence of a guideline- or evidence-based indication for continuous monitoring in this population, this practice may represent overuse.

"All the ward's a stage": a qualitative study of the experience of direct observation of handoffs.

Direct observation of clinical skills is central to assessment in a competency-based medical education model, yet little is known about how direct observation is experienced by trainees and observers. The objective of the study is to explore how direct observation was experienced by residents and faculty in the context of the I-PASS Handoff Study. In this multi-center qualitative study, we conducted focus groups and semi-structured interviews of residents and faculty members at eight tertiary pediatric centers in North America that implemented the I-PASS Handoff Bundle. We employed qualitative thematic analysis to interpret the data. Barriers to and strategies for direct observation were described relating to the observer, trainee, and clinical environment. Residents and faculty described a mutual awareness that residents change their performance of handoffs when observed, in contrast to their usual behavior in a clinical setting. Changes in handoff performance may depend on the nature of the observer or 'audience'. Direct observation also highlighted the importance of handoffs to participants, recognized as a clinical activity that warrants feedback and assessment. Dramaturgical theory can be used to understand our finding of 'front-stage' (observed) versus 'backstage' (unobserved) handoffs as distinct performances, tailored to an "audience". Educators must be cognizant of changes in performance of routine clinical activities when using direct observation to assess clinical competence.

Developing Standardized "Receiver-Driven" Handoffs Between Referring Providers and the Emergency Department: Results of a Multidisciplinary Needs Assessment.

BACKGROUND: Miscommunication during patient transfers is a leading cause of medical errors. Inpatient standardization of handoff communication has been associated with reduced medical errors, but less is known about best practices for handoffs from referring providers to the emergency department (ED). The study aims were to identify (1) stakeholder perceptions of current handoff processes and (2) key handoff elements and strategies to optimize patient care on transfer. METHODS: A mixed-methods needs assessment study was conducted at a tertiary care children's hospital with a communication center that receives verbal handoff via telephone from referring providers and provides written summary to the ED. ED, primary care providers, and communication center staff were surveyed to understand perceptions of handoff processes and ideal handoff elements. Focus groups were conducted to refine concepts. Descriptive statistics, chi-square analysis, and qualitative content analysis were used to analyze responses. RESULTS: The survey response rate was 129/152 providers (85%). Forty-two percent of respondents described the quality of the handoff process as "very good" or "excellent"; 43% reported miscommunication occurring "sometimes" or "frequently." Within the I-PASS framework-Illness severity, Patient summary, Action list, Situation awareness and contingency planning, and Synthesis by receiver-respondents identified 10 key elements to obtain through a receiver-driven process to optimize care on transfer. Free-text responses revealed a perceived need to standardize communication. CONCLUSION: A minority of providers perceived handoff quality between outpatient practices and the ED as "very good" or "excellent"; almost half perceived regular miscommunication. A receiver-driven process is a novel approach that may help ensure standardized communication of key handoff elements in this context.

Changes in medical errors after implementation of a handoff program.

BACKGROUND: Miscommunications are a leading cause of serious medical errors. Data from multicenter studies assessing programs designed to improve handoff of information about patient care are lacking. METHODS: We conducted a prospective intervention study of a resident handoff-improvement program in nine hospitals, measuring rates of medical errors, preventable adverse events, and miscommunications, as well as resident workflow. The intervention included a mnemonic to standardize oral and written handoffs, handoff and communication training, a faculty development and observation program, and a sustainability campaign. Error rates were measured through active surveillance. Handoffs were assessed by means of evaluation of printed handoff documents and audio recordings. Workflow was assessed through time-motion observations. The primary outcome had two components: medical errors and preventable adverse events. RESULTS: In 10,740 patient admissions, the medical-error rate decreased by 23% from the preintervention period to the postintervention period (24.5 vs. 18.8 per 100 admissions, P<0.001), and the rate of preventable adverse events decreased by 30% (4.7 vs. 3.3 events per 100 admissions, P<0.001). The rate of nonpreventable adverse events did not change significantly (3.0 and 2.8 events per 100 admissions, P=0.79). Site-level analyses showed significant error reductions at six of nine sites. Across sites, significant increases were observed in the inclusion of all prespecified key elements in written documents and oral communication during handoff (nine written and five oral elements; P<0.001 for all 14 comparisons). There were no significant changes from the preintervention period to the postintervention period in the duration of oral handoffs (2.4 and 2.5 minutes per patient, respectively; P=0.55) or in resident workflow, including patient-family contact and computer time. CONCLUSIONS: Implementation of the handoff program was associated with reductions in medical errors and in preventable adverse events and with improvements in communication, without a negative effect on workflow. (Funded by the Office of the Assistant Secretary for Planning and Evaluation, U.S. Department of Health and Human Services, and others.).

Simulation of a Novel Schedule for Intensivist Staffing to Improve Continuity of Patient Care and Reduce Physician Burnout.

OBJECTIVE: Despite widespread adoption of in-house call for ICU attendings, there is a paucity of research on optimal scheduling of intensivists to provide continuous on-site coverage. Overnight call duties have traditionally been added onto 7 days of continuous daytime clinical service. We designed an alternative ICU staffing model to increase continuity of attending physician care for patients while also decreasing interruptions to attendings' nonclinical weeks. DESIGN: Computer-based simulation of a 1-year schedule. SETTING: A simulated ICU divided into two daytime teams each covered by a different attending and both covered by one overnight on-call attending. SUBJECTS: Simulated patients were randomly admitted on different service days to assess continuity of care. INTERVENTIONS: A "shared service schedule" was compared to a standard "7 days on schedule." For the 7 days on schedule, an attending covered a team for 7 consecutive days and off-service attendings cross-covered each night. For the shared schedule, four attendings shared the majority of daytime and nighttime service for two teams over 2 weeks, with recovery periods built into the scheduled service time. MEASUREMENTS AND MAIN RESULTS: Continuity of care as measured by the Continuity of Attending Physician Index increased by 9% with the shared schedule. Annually, the shared service schedule was predicted to increase free weekends by 3.4 full weekends and 1.3 weekends with either Saturday or Sunday off. Full weeks without clinical obligations increased by 4 weeks. Mean time between clinical obligations increased by 5.8 days. CONCLUSIONS: A shared service schedule is predicted to improve continuity of care while increasing free weekends and continuity of uninterrupted nonclinical weeks for attendings. Computer-based simulation allows assessment of benefits and tradeoffs of the alternative schedule without disturbing existing clinical systems.

Integrating Research, Quality Improvement, and Medical Education for Better Handoffs and Safer Care: Disseminating, Adapting, and Implementing the I-PASS Program.

BACKGROUND: In 2009 the I-PASS Study Group was formed by patient safety, medical education, health services research, and clinical experts from multiple institutions in the United States and Canada. When the I-PASS Handoff Program, which was developed by the I-PASS Study Group, was implemented in nine hospitals, it was associated with a 30% reduction in injuries due to medical errors and significant improvements in handoff processes, without any adverse effects on provider work flow. METHODS: To effectively disseminate and adapt I-PASS for use across specialties and disciplines, a series of federally and privately funded dissemination and implementation projects were carried out following the publication of the initial study. The results of these efforts have informed ongoing initiatives intended to continue adapting and scaling the program. RESULTS: As of this writing, I-PASS Study Group members have directly worked with more than 50 hospitals to facilitate implementation of I-PASS. To further disseminate I-PASS, Study Group members delivered hundreds of academic presentations, including plenaries at scientific meetings, workshops, and institutional Grand Rounds. Some 3,563 individuals, representing more than 500 institutions in the 50 states in the United States, the District of Columbia, Puerto Rico, and 57 other countries, have requested access to I-PASS materials. Most recently, the I-PASSSM Patient Safety Institute has developed a virtual immersion training platform, mobile handoff observational tools, and processes to facilitate further spread of I-PASS. CONCLUSION: Implementation of I-PASS has been associated with substantial improvements in patient safety and can be applied to a variety of disciplines and types of patient handoffs. Widespread implementation of I-PASS has the potential to substantially improve patient safety in the United States and beyond.

Applying mathematical models to predict resident physician performance and alertness on traditional and novel work schedules.

BACKGROUND: In 2011 the U.S. Accreditation Council for Graduate Medical Education began limiting first year resident physicians (interns) to shifts of ≤16 consecutive hours. Controversy persists regarding the effectiveness of this policy for reducing errors and accidents while promoting education and patient care. Using a mathematical model of the effects of circadian rhythms and length of time awake on objective performance and subjective alertness, we quantitatively compared predictions for traditional intern schedules to those that limit work to ≤ 16 consecutive hours. METHODS: We simulated two traditional schedules and three novel schedules using the mathematical model. The traditional schedules had extended duration work shifts (≥24 h) with overnight work shifts every second shift (including every third night, Q3) or every third shift (including every fourth night, Q4) night; the novel schedules had two different cross-cover (XC) night team schedules (XC-V1 and XC-V2) and a Rapid Cycle Rotation (RCR) schedule. Predicted objective performance and subjective alertness for each work shift were computed for each individual's schedule within a team and then combined for the team as a whole. Our primary outcome was the amount of time within a work shift during which a team's model-predicted objective performance and subjective alertness were lower than that expected after 16 or 24 h of continuous wake in an otherwise rested individual. RESULTS: The model predicted fewer hours with poor performance and alertness, especially during night-time work hours, for all three novel schedules than for either the traditional Q3 or Q4 schedules. CONCLUSIONS: Three proposed schedules that eliminate extended shifts may improve performance and alertness compared with traditional Q3 or Q4 schedules. Predicted times of worse performance and alertness were at night, which is also a time when supervision of trainees is lower. Mathematical modeling provides a quantitative comparison approach with potential to aid residency programs in schedule analysis and redesign.

Contraceptive Method Usage Pattern and Percentage of New Pregnancies Among Adolescent and Young Adult Family Planning Patients: A Mixed-Methods Retrospective Study.

OBJECTIVES: Despite increased access to contraceptive methods (CM), the United States still has the highest rate of adolescent pregnancy among industrialized nations, and adolescents from historically marginalized groups are disproportionately affected. In this study, we sought to (1) understand if differences in CM usage were associated with differential percentages of new pregnancies among adolescents and young adult patients attending a family planning (FP) clinic at an urban community practice and (2) identify areas of improvement in our FP counseling. METHODS: Mixed-methods study design consisting of (1) a 12-month retrospective chart review and (2) a self-answered cross-sectional survey of FP patients. Chi-square, Fisher's exact tests, and risk ratio were performed to analyze the percentage of new pregnancies according to CM usage. RESULTS: The percentage of new pregnancies was 11 among our FP patients (N = 555) during this study period. As anticipated, pregnancy was associated with no CM use, CM discontinuation, and, interestingly, multiple CM changes (P < .001). The probability of no-pregnancy significantly decreased among patients on no method, who discontinued their CM or made multiple CM changes compared to those with continuous CM use. There was no association between the percentage of new pregnancies and any particular CM type. CONCLUSION: Despite adequate access to FP patient services and high patient satisfaction levels, our findings indicate a need to adopt a more patient-centered approach in our FP counseling that addresses patient's reproductive life plans, preferences, and method side effects to increase CM uptake and satisfaction and decrease frequency of CM changes which is associated with increased risk of mistimed pregnancy during method switching.

Public opinion of resident physician work hours in 2022.

OBJECTIVE: The purpose of this study was to characterize public awareness and opinion regarding resident physician work hours in the United States. METHODS: We conducted a nationally representative cross-sectional survey among adults in the United States. Demographic quota-based sampling was conducted by Qualtrics to match 2020 United States Census estimates of age, sex, race, and ethnicity. Descriptive statistics are presented. Hypothesis testing was conducted to identify characteristics associated with agreement with current resident physician work-hour policies. RESULTS: 4763 adults in the United States participated in the study. 97.1% of the public believes that resident physicians should not work 24-hour shifts and 95.6% believe the current 80 hours resident work week is too long. 66.4% of the participants reported that the maximum shift duration should be 12 consecutive hours or fewer, including 22.9% who recommended a maximum shift length of 8 hours. Similarly, 66.4% reported that maximum weekly work hours should be 59 or fewer, including 24.9% who recommended a maximum of 40 weekly work hours. CONCLUSIONS: Nearly all US adults disagree with current work-hour policies for resident physicians. Public opinion supports limiting shifts to no more than 12 consecutive hours and weekly work to no more than 60 hours, which is in sharp contrast to current regulations that permit of 28 hours shifts and 80 hours of work per week.

Getting Started With Multi-site Research: Lessons From the Eliminating Monitor Overuse (EMO) Study.

Research in Pediatric Hospital Medicine is growing and expanding rapidly, and with this comes the need to expand single-site research projects into multisite research studies within practice-based research networks. This expansion is crucial to ensure generalizable findings in diverse populations; however, expanding Pediatric Hospital Medicine research projects from single to multisite can be daunting. We provide an overview of major logistical steps and challenges in project management, regulatory approvals, data use agreements, training, communication, and financial management that are germane to hospitalist researchers launching their first multisite project by sharing processes and lessons learned from running multisite research projects in the Pediatric Research in Inpatient Settings Network within the Eliminating Monitor Overuse study portfolio. This description is relevant to hospitalist researchers transitioning from single-site to multisite research or those considering serving as site lead for a multisite project.

Predicting neurobehavioral performance of resident physicians in a Randomized Order Safety Trial Evaluating Resident-Physician Schedules (ROSTERS).

OBJECTIVES: Mathematical models of human neurobehavioral performance that include the effects of acute and chronic sleep restriction can be key tools in assessment and comparison of work schedules, allowing quantitative predictions of performance when empirical assessment is impractical. METHODS: Using such a model, we tested the hypothesis that resident physicians working an extended duration work roster, including 24-28 hours of continuous duty and up to 88 hours per week averaged over 4weeks, would have worse predicted performance than resident physicians working a rapidly cycling work roster intervention designed to reduce the duration of extended shifts. The performance metric used was attentional failures (ie, Psychomotor Vigilance Task lapses). Model input was 169 actual work and sleep schedules. Outcomes were predicted hours per week during work hours spent at moderate (equivalent to 16-20 hours of continuous wakefulness) or high (equivalent to ≥20 hours of continuous wakefulness) performance impairment. RESULTS: The model predicted that resident physicians working an extended duration work roster would spend significantly more time at moderate impairment (p = .02, effect size=0.2) than those working a rapidly cycling work roster; this difference was most pronounced during the circadian night (p < .001). On both schedules, performance was predicted to decline from weeks 1 + 2 to weeks 3 + 4 (p < .001), but the rate of decline was significantly greater on extended duration work roster (p < .01). Predicted performance impairment was inversely related to prior sleep duration (p < .001). CONCLUSIONS: These findings demonstrate the utility of a mathematical model to evaluate the predicted performance profile of schedules for resident physicians and others who experience chronic sleep restriction and circadian misalignment.