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.

Impact of sleep deficiency on surgical performance: a prospective assessment.

STUDY OBJECTIVES: Sleep deficiency can adversely affect the performance of resident physicians, resulting in greater medical errors. However, the impact of sleep deficiency on surgical outcomes, particularly among attending surgeons, is less clear. METHODS: Sixty attending surgeons from academic and community departments of surgery or obstetrics and gynecology were studied prospectively using direct observation and self-report to explore the effect of sleep deprivation on patient safety, operating room communication, medical errors, and adverse events while operating under 2 conditions, post-call (defined as > 2 hours of nighttime clinical duties) and non-post-call. RESULTS: Each surgeon contributed up to 5 surgical procedures post-call and non-post-call, yielding 362 cases total (150 post-call and 210 non-post-call). Most common were caesarian section and herniorrhaphy. Hours of sleep on the night before the operative procedure were significantly less post-call (4.98 ± 1.41) vs non-post-call (6.68 ± 0.88, P < .01). Errors were infrequent and not related to hours of sleep or post-call status. However, Non-Technical Skills for Surgeons ratings demonstrated poorer performance while post-call for situational awareness, decision-making, and communication/teamwork. Fewer hours of sleep also were related to lower ratings for situational awareness and decision-making. Decreased self-reported alertness was observed to be associated with increased procedure time. CONCLUSIONS: Sleep deficiency in attending surgeons was not associated with greater errors during procedures performed during the next day. However, procedure time was increased, suggesting that surgeons were able to compensate for sleep loss by working more slowly. Ratings on nontechnical surgical skills were adversely affected by sleep deficiency. CITATION: Quan SF, Landrigan CP, Barger LK, et al. Impact of sleep deficiency on surgical performance: a prospective assessment. J Clin Sleep Med. 2023;19(4):673-683.

Family Safety Reporting in Hospitalized Children With Medical Complexity.

BACKGROUND AND OBJECTIVES: Hospitalized children with medical complexity (CMC) are at high risk of medical errors. Their families are an underutilized source of hospital safety data. We evaluated safety concerns from families of hospitalized CMC and patient/parent characteristics associated with family safety concerns. METHODS: We conducted a 12-month prospective cohort study of English- and Spanish-speaking parents/staff of hospitalized CMC on 5 units caring for complex care patients at a tertiary care children's hospital. Parents completed safety and experience surveys predischarge. Staff completed surveys during meetings and shifts. Mixed-effects logistic regression with random intercepts controlling for clustering and other patient/parent factors evaluated associations between family safety concerns and patient/parent characteristics. RESULTS: A total of 155 parents and 214 staff completed surveys (>89% response rates). 43% (n = 66) had ≥1 hospital safety concerns, totaling 115 concerns (1-6 concerns each). On physician review, 69% of concerns were medical errors and 22% nonsafety-related quality issues. Most parents (68%) reported concerns to staff, particularly bedside nurses. Only 32% of parents recalled being told how to report safety concerns. Higher education (adjusted odds ratio 2.94, 95% confidence interval [1.21-7.14], P = .02) and longer length of stay (3.08 [1.29-7.38], P = .01) were associated with family safety concerns. CONCLUSIONS: Although parents of CMC were infrequently advised about how to report safety concerns, they frequently identified medical errors during hospitalization. Hospitals should provide clear mechanisms for families, particularly of CMC and those from disadvantaged backgrounds, to share safety concerns. Actively engaging patients/families in reporting will allow hospitals to develop a more comprehensive, patient-centered view of safety.

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.

Changes Made to Orders Placed by Overnight Admitting Residents on Teaching Rounds the Next Day.

OBJECTIVES: Increased focus on health care quality and safety has generally led to additional resident supervision by attending physicians. At our children's hospital, residents place orders overnight that are not explicitly reviewed by attending physicians until morning rounds. We aimed to categorize the types of orders that are added or discontinued on morning rounds the morning after admission to a resident team and to understand the rationale for these order additions and discontinuations. METHODS: We used our hospital's data warehouse to generate a report of orders placed by residents overnight that were discontinued the next morning and orders that were added on rounds the morning after admission to a resident team from July 1, 2017 to June 29, 2018. Retrospective chart review was performed on included orders to determine the reason for order changes. RESULTS: Our report identified 5927 orders; 538 were included for analysis after exclusion of duplicate orders, administrative orders, and orders for patients admitted to non-Pediatric Hospital Medicine services. The reason for order discontinuation or addition was medical decision-making (n = 357, 66.4%), change in patient trajectory (n = 151, 28.1%), and medical error (n = 30, 5.6%). Medical errors were most commonly related to medications (n = 24, 80%) and errors of omission (n = 19, 63%). CONCLUSIONS: New or discontinued orders commonly resulted from evolving patient management decisions or changes in patient trajectory; medical errors represented a small subset of identified orders. Medical errors were often errors of omission, suggesting an area to direct future safety initiatives.

Extended Work Shifts and Neurobehavioral Performance in Resident-Physicians.

OBJECTIVES: Extended-duration work rosters (EDWRs) with shifts of 24+ hours impair performance compared with rapid cycling work rosters (RCWRs) that limit shifts to 16 hours in postgraduate year (PGY) 1 resident-physicians. We examined the impact of a RCWR on PGY 2 and PGY 3 resident-physicians. METHODS: Data from 294 resident-physicians were analyzed from a multicenter clinical trial of 6 US PICUs. Resident-physicians worked 4-week EDWRs with shifts of 24+ hours every third or fourth shift, or an RCWR in which most shifts were ≤16 consecutive hours. Participants completed a daily sleep and work log and the 10-minute Psychomotor Vigilance Task and Karolinska Sleepiness Scale 2 to 5 times per shift approximately once per week as operational demands allowed. RESULTS: Overall, the mean (± SE) number of attentional failures was significantly higher (P =.01) on the EDWR (6.8 ± 1.0) compared with RCWR (2.9 ± 0.7). Reaction time and subjective alertness were also significantly higher, by ∼18% and ∼9%, respectively (both P <.0001). These differences were sustained across the 4-week rotation. Moreover, attentional failures were associated with resident-physician-related serious medical errors (SMEs) (P =.04). Although a higher rate of SMEs was observed under the RCWR, after adjusting for workload, RCWR had a protective effect on the rate of SMEs (rate ratio 0.48 [95% confidence interval: 0.30-0.77]). CONCLUSIONS: Performance impairment due to EDWR is improved by limiting shift duration. These data and their correlation with SME rates highlight the impairment of neurobehavioral performance due to extended-duration shifts and have important implications for patient safety.

The Effect of Blue-Enriched Lighting on Medical Error Rate in a University Hospital ICU.

BACKGROUND: Fatigue-related errors that occur during patient care impose a tremendous socioeconomic impact on the health care system. Blue-enriched light has been shown to promote alertness and attention. The present study tested whether blue-enriched light can help to reduce medical errors in a university hospital adult ICU. METHODS: In this interventional study, a blue-enriched white light emitting diode was used to enhance traditional fluorescent light at the nurse workstation and common areas in the ICU. Medical errors were identified retrospectively using an established two-step surveillance process. Suspected incidents of potential errors detected on nurse chart review were subsequently reviewed by two physicians blinded to lighting conditions, who made final classifications. Error rates were compared between the preintervention fluorescent and postintervention blue-enriched lighting conditions using Poisson regression. RESULTS: The study included a total of 1,073 ICU admissions, 522 under traditional and 551 under interventional lighting (age range 17-97 years, mean age ± standard deviation 58.5 ± 15.8). No difference was found in overall medical error rate (harmful and non-harmful) pre- vs. postintervention, 45.5 vs. 42.7 per 1,000 patient-days (rate ratio: 0.94, 95% confidence interval = 0.71-1.23, p = 0.64). CONCLUSION: Interventional lighting did not have an effect on overall medical error rate. The study was likely underpowered to detect the 25% error reduction predicted. Future studies are required that are powered to assess more modest effects for lighting to reduce the risk of fatigue-related medical errors and errors of differing severity.

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 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.

Communication at Transitions of Care.

Communication errors during transitions of care are a leading source of adverse events for hospitalized patients. This article provides an overview of the role of communication errors in adverse events, describes the complexities of communication for hospitalized patients, and provides evidence regarding the positive effects of applying high-reliability principles to transitions of care and culture of safety. Elements of effective handoffs and a detailed approach for successful implementation of a handoff program are provided. The role of handoff communication in medical education at all levels, as well as for the interprofessional team, is discussed.

Association of Pediatric Resident Physician Depression and Burnout With Harmful Medical Errors on Inpatient Services.

PURPOSE: To determine whether higher rates of medical errors were associated with positive screenings for depression or burnout among resident physicians. METHOD: The authors conducted a prospective cohort study from 2011 to 2013 in seven pediatric academic medical centers in the United States and Canada. Resident physicians were screened for burnout and depression using the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) and Harvard Department of Psychiatry/National Depression Screening Day Scale (HANDS). A two-step surveillance methodology, involving a research nurse and two physician reviewers, was used to measure and categorize errors. Bivariate and mixed-effects regression models were used to evaluate the relationship between burnout, depression, and rates of harmful, nonharmful, and total errors. RESULTS: A total of 388/537 (72%) resident physicians completed the MBI-HSS and HANDS surveys. Seventy-six (20%) and 178 (46%) resident physicians screened positive for depression and burnout, respectively. Screening positive for depression was associated with a 3.0-fold higher rate of harmful errors (incidence rate ratio = 2.99 [95% CI 1.40-6.36], P = .005). However, there was no statistically significant association between depression and total or nonharmful errors or between burnout and harmful, nonharmful, or total errors. CONCLUSIONS: Resident physicians with a positive depression screen were three times more likely than those who screened negative to make harmful errors. This association suggests resident physician mental health could be an important component of patient safety. If further research confirms resident physician depression increases the risk of harmful errors, it will become imperative to determine what interventions might mitigate this risk.

Design and recruitment of the randomized order safety trial evaluating resident-physician schedules (ROSTERS) study.

INTRODUCTION: While the Accreditation Council for Graduate Medical Education limited first year resident-physicians to 16 consecutive work hours from 2011 to 2017, resident-physicians in their second year or higher were permitted to work up to 28 h consecutively. This paper describes the Randomized Order Safety Trial Evaluating Resident-physician Schedules (ROSTERS) study, a clustered-randomized crossover clinical trial designed to evaluate the effectiveness of eliminating traditional shifts of 24 h or longer for second year or higher resident-physicians in pediatric intensive care units (PICUs). METHODS: ROSTERS was a multi-center non-blinded trial in 6 PICUs at US academic medical centers. The primary aim was to compare patient safety between the extended duration work roster (EDWR), which included shifts ≥24 h, and a rapidly cycling work roster (RCWR), where shifts were limited to a maximum of 16 h. Information on potential medical errors was gathered and used for classification by centrally trained physician reviewers who were blinded to the study arm. Secondary aims were to assess the relationship of the study arm to resident-physician sleep duration, work hours and neurobehavioral performance. RESULTS: The study involved 6577 patients with a total of 38,821 patient days (n = 18,749 EDWR, n = 20,072 RCWR). There were 413 resident-physician rotations included in the study (n = 203 EDWR, n = 210 RCWR). Resident-physician questionnaire data were over 95% complete. CONCLUSIONS: Results from data collected in the ROSTERS study will be evaluated for the impact of resident-physician schedule roster on patient safety outcomes in PICUs, and will allow for examination of a number of secondary outcome measures. ClinicalTrials.gov Identifier: NCT02134847.

I-PASS Mentored Implementation Handoff Curriculum: Champion Training Materials.

Introduction: The I-PASS Handoff Program is a comprehensive handoff curriculum that has been shown to decrease rates of medical errors and adverse events during patient handoffs. I-PASS champions are a critical part of the implementation and sustainment of this curriculum, and therefore, a rigorous program to support their training is necessary. Methods: The I-PASS Handoff champion training materials were created for the original I-PASS Study and adapted for the Society of Hospital Medicine (SHM) I-PASS Mentored Implementation Program. The adapted materials embrace a flipped classroom approach and adult learning theory. The training includes an overview of I-PASS handoff techniques, an opportunity to practice evaluating handoffs with the I-PASS observation tools using a handoff video vignette, and other key implementation principles. Results: As part of the SHM I-PASS Mentored Implementation Program, 366 champions were trained at 32 sites across North America and participated in a total of 3,491 handoff observations. A total of 346 champions completed the I-PASS Champion Workshop evaluation form at the end of their training (response rate: 94.5%). After receiving the training, over 90% agreed/strongly agreed that it provided them with knowledge or skills critical to their patient care activities and that they were able to distinguish the difference between high- and poor-quality handoffs, competently use the I-PASS handoff assessment tools, and articulate the importance of handoff observations. Conclusion: The I-PASS champion training materials were rated highly by those trained and are an integral part of a successful I-PASS Handoff Program implementation.

Patient safety after implementation of a coproduced family centered communication programme: multicenter before and after intervention study

OBJECTIVE: To determine whether medical errors, family experience, and communication processes improved after implementation of an intervention to standardize the structure of healthcare provider-family communication on family centered rounds. DESIGN: Prospective, multicenter before and after intervention study. SETTING: Pediatric inpatient units in seven North American hospitals, 17 December 2014 to 3 January 2017. PARTICIPANTS: All patients admitted to study units (3106 admissions, 13171 patient days); 2148 parents or caregivers, 435 nurses, 203 medical students, and 586 residents. INTERVENTION: Families, nurses, and physicians coproduced an intervention to standardize healthcare provider-family communication on ward rounds ("family centered rounds"), which included structured, high reliability communication on bedside rounds emphasizing health literacy, family engagement, and bidirectional communication; structured, written real-time summaries of rounds; a formal training programme for healthcare providers; and strategies to support teamwork, implementation, and process improvement. MAIN OUTCOME MEASURES: Medical errors (primary outcome), including harmful errors (preventable adverse events) and non-harmful errors, modeled using Poisson regression and generalized estimating equations clustered by site; family experience; and communication processes (eg, family engagement on rounds). Errors were measured via an established systematic surveillance methodology including family safety reporting. RESULTS: The overall rate of medical errors (per 1000 patient days) was unchanged (41.2 (95% confidence interval 31.2 to 54.5) pre-intervention v 35.8 (26.9 to 47.7) post-intervention, P=0.21), but harmful errors (preventable adverse events) decreased by 37.9% (20.7 (15.3 to 28.1) v 12.9 (8.9 to 18.6), P=0.01) post-intervention. Non-preventable adverse events also decreased (12.6 (8.9 to 17.9) v 5.2 (3.1 to 8.8), P=0.003). Top box (eg, "excellent") ratings for six of 25 components of family reported experience improved; none worsened. Family centered rounds occurred more frequently (72.2% (53.5% to 85.4%) v 82.8% (64.9% to 92.6%), P=0.02). Family engagement 55.6% (32.9% to 76.2%) v 66.7% (43.0% to 84.1%), P=0.04) and nurse engagement (20.4% (7.0% to 46.6%) v 35.5% (17.0% to 59.6%), P=0.03) on rounds improved. Families expressing concerns at the start of rounds (18.2% (5.6% to 45.3%) v 37.7% (17.6% to 63.3%), P=0.03) and reading back plans (4.7% (0.7% to 25.2%) v 26.5% (12.7% to 7.3%), P=0.02) increased. Trainee teaching and the duration of rounds did not change significantly. CONCLUSIONS: Although overall errors were unchanged, harmful medical errors decreased and family experience and communication processes improved after implementation of a structured communication intervention for family centered rounds coproduced by families, nurses, and physicians. Family centered care processes may improve safety and quality of care without negatively impacting teaching or duration of rounds. TRIAL REGISTRATION: ClinicalTrials.gov NCT02320175.

Adverse Events in Hospitalized Pediatric Patients.

: media-1vid110.1542/5789657761001PEDS-VA_2017-3360Video Abstract BACKGROUND: Patient safety concerns over the past 2 decades have prompted widespread efforts to reduce adverse events (AEs). It is unclear whether these efforts have resulted in reductions in hospital-wide AE rates. We used a validated safety surveillance tool, the Global Assessment of Pediatric Patient Safety, to measure temporal trends (2007-2012) in AE rates among hospitalized children. METHODS: We conducted a retrospective surveillance study of randomly selected pediatric inpatient records from 16 teaching and nonteaching hospitals. We constructed Poisson regression models with hospital random intercepts, controlling for patient age, sex, insurance, and chronic conditions, to estimate changes in AE rates over time. RESULTS: Examining 3790 records, reviewers identified 414 AEs (19.1 AEs per 1000 patient days; 95% confidence interval [CI] 17.2-20.9) and 210 preventable AEs (9.5 AEs per 1000 patient days; 95% CI 8.2-10.8). On average, teaching hospitals had higher AE rates than nonteaching hospitals (26.2 [95% CI 23.7-29.0] vs 5.1 [95% CI 3.7-7.1] AEs per 1000 patient days, P < .001). Chronically ill children had higher AE rates than patients without chronic conditions (33.9 [95% CI 24.5-47.0] vs 14.0 [95% CI 11.8-16.5] AEs per 1000 patient days, P < .001). Multivariate analyses revealed no significant changes in AE rates over time. When stratified by hospital type, neither teaching nor nonteaching hospitals experienced significant temporal AE rate variations. CONCLUSIONS: AE rates in pediatric inpatients are high and did not improve from 2007 to 2012. Pediatric AE rates were substantially higher in teaching hospitals as well as in patients with more chronic conditions.

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.

Parent-Provider Miscommunications in Hospitalized Children.

BACKGROUND: Miscommunications lead to medical errors and suboptimal hospital experience. Parent-provider miscommunications are understudied. OBJECTIVES: (1) Examine characteristics of parent-provider miscommunications about hospitalized children, (2) describe associations among parent-provider miscommunications, parent-reported errors, and hospital experience, and (3) compare parent and attending physician reports of parent-provider miscommunications. METHODS: Prospective cohort study of 471 parents of 0- to 17-year-old medical inpatients in a pediatric hospital between May 1, 2013 and October 1, 2014. At discharge, parents reported parent-provider miscommunication and type (selecting all applicable responses), overall experience, and errors during hospitalization. During discharge billing, the attending physicians (n = 52) of a subset of patients (n = 217) also reported miscommunications, enabling comparison of parent and attending physician reports. We used logistic regression to examine characteristics of parent-reported miscommunications; McNemar's test to examine associations between miscommunications, errors, and top-box (eg, "excellent") experience; and generalized estimating equations to compare parent- and attending physician-reported miscommunication rates. RESULTS: Parents completed 406 surveys (86.2% response rate). 15.3% of parents (n = 62) reported miscommunications. Parents of patients with nonpublic insurance (odds ratio: 1.99; 95% confidence interval: 1.03-3.85) and longer lengths of stay (odds ratio: 1.12; 95% confidence interval: 1.02-1.23) more commonly reported miscommunications. Parents reporting miscommunications were 5.3 times more likely to report errors and 78.6% less likely to report top-box overall experience (P < .001 for both). Among patients with both parent and attending physician surveys, 16.1% (n = 35) of parents and 3.7% (n = 8) of attending physicians reported miscommunications (P < .001). Both parents and attending physicians attributed miscommunications most often to family receipt of conflicting information. CONCLUSIONS: Parent-provider miscommunications were associated with parent-reported errors and suboptimal hospital experience. Parents reported parent-provider miscommunications more often than attending physicians did.

Effects of the I-PASS Nursing Handoff Bundle on communication quality and workflow.

BACKGROUND AND OBJECTIVE: Handoff communication errors are a leading source of sentinel events. We sought to determine the impact of a handoff improvement programme for nurses. METHODS: We conducted a prospective pre-post intervention study on a paediatric intensive care unit in 2011-2012. The I-PASS Nursing Handoff Bundle intervention consisted of educational training, verbal handoff I-PASS mnemonic implementation, and visual materials to provide reinforcement and sustainability. We developed handoff direct observation and time motion workflow assessment tools to measure: (1) quality of the verbal handoff, including interruption frequency and presence of key handoff data elements; and (2) duration of handoff and other workflow activities. RESULTS: I-PASS implementation was associated with improvements in verbal handoff communications, including inclusion of illness severity assessment (37% preintervention vs 67% postintervention, p=0.001), patient summary (81% vs 95%, p=0.05), to do list (35% vs 100%, p<0.001) and an opportunity for the receiving nurse to ask questions (34% vs 73%, p<0.001). Overall, 13/21 (62%) of verbal handoff data elements were more likely to be present following implementation whereas no data elements were less likely present. Implementation was associated with a decrease in interruption frequency pre versus post intervention (67% vs 40% of handoffs with interruptions, p=0.005) without a change in the median handoff duration (18.8 min vs 19.9 min, p=0.48) or changes in time spent in direct or indirect patient care activities. CONCLUSIONS: Implementation of the I-PASS Nursing Handoff Bundle was associated with widespread improvements in the verbal handoff process without a negative impact on nursing workflow. Implementation of I-PASS for nurses may therefore have the potential to significantly reduce medical errors and improve patient safety.

Families as Partners in Hospital Error and Adverse Event Surveillance.

Importance: Medical errors and adverse events (AEs) are common among hospitalized children. While clinician reports are the foundation of operational hospital safety surveillance and a key component of multifaceted research surveillance, patient and family reports are not routinely gathered. We hypothesized that a novel family-reporting mechanism would improve incident detection. Objective: To compare error and AE rates (1) gathered systematically with vs without family reporting, (2) reported by families vs clinicians, and (3) reported by families vs hospital incident reports. Design, Setting, and Participants: We conducted a prospective cohort study including the parents/caregivers of 989 hospitalized patients 17 years and younger (total 3902 patient-days) and their clinicians from December 2014 to July 2015 in 4 US pediatric centers. Clinician abstractors identified potential errors and AEs by reviewing medical records, hospital incident reports, and clinician reports as well as weekly and discharge Family Safety Interviews (FSIs). Two physicians reviewed and independently categorized all incidents, rating severity and preventability (agreement, 68%-90%; κ, 0.50-0.68). Discordant categorizations were reconciled. Rates were generated using Poisson regression estimated via generalized estimating equations to account for repeated measures on the same patient. Main Outcomes and Measures: Error and AE rates. Results: Overall, 746 parents/caregivers consented for the study. Of these, 717 completed FSIs. Their median (interquartile range) age was 32.5 (26-40) years; 380 (53.0%) were nonwhite, 566 (78.9%) were female, 603 (84.1%) were English speaking, and 380 (53.0%) had attended college. Of 717 parents/caregivers completing FSIs, 185 (25.8%) reported a total of 255 incidents, which were classified as 132 safety concerns (51.8%), 102 nonsafety-related quality concerns (40.0%), and 21 other concerns (8.2%). These included 22 preventable AEs (8.6%), 17 nonharmful medical errors (6.7%), and 11 nonpreventable AEs (4.3%) on the study unit. In total, 179 errors and 113 AEs were identified from all sources. Family reports included 8 otherwise unidentified AEs, including 7 preventable AEs. Error rates with family reporting (45.9 per 1000 patient-days) were 1.2-fold (95% CI, 1.1-1.2) higher than rates without family reporting (39.7 per 1000 patient-days). Adverse event rates with family reporting (28.7 per 1000 patient-days) were 1.1-fold (95% CI, 1.0-1.2; P = .006) higher than rates without (26.1 per 1000 patient-days). Families and clinicians reported similar rates of errors (10.0 vs 12.8 per 1000 patient-days; relative rate, 0.8; 95% CI, .5-1.2) and AEs (8.5 vs 6.2 per 1000 patient-days; relative rate, 1.4; 95% CI, 0.8-2.2). Family-reported error rates were 5.0-fold (95% CI, 1.9-13.0) higher and AE rates 2.9-fold (95% CI, 1.2-6.7) higher than hospital incident report rates. Conclusions and Relevance: Families provide unique information about hospital safety and should be included in hospital safety surveillance in order to facilitate better design and assessment of interventions to improve safety.