Evaluating the Impact of a Pediatric Inpatient Social Care Program in a Community Hospital.

OBJECTIVES: To evaluate the impact of implementing a stakeholder-informed social risk screening and social service referral system in a community hospital setting. METHODS: We implemented a stakeholder-informed social care program at a community hospital in April 2022. The evaluation included patients aged 0 to 17 years admitted to the pediatric unit between April 2021 and March 2022 (1 year preimplementation) and between April 2022 and March 2023 (1 year postimplementation). For a random subset of 232 preimplementation and 218 postimplementation patients, we performed manual data extraction, documenting program process measures and preliminary effectiveness outcomes. We used χ square and Wilcoxon rank tests to compare outcomes between the preimplementation and postimplementation groups. Multivariable logistic regression was used to assess the preliminary effectiveness of the social care program in identifying social risks. RESULTS: Screening rates were higher in the postimplementation group for nearly all social domains. Compared with preimplementation, the postimplementation group had higher rates of social risks identified (17.4% vs 7.8% [P < .01]: adjusted odds ratio 2.9 [95% confidence interval 1.5-5.5]) on multivariate testing. Social work consults were completed more frequently and earlier for the postimplementation group (13.8.% vs 5.6% [P < .01]) and median (19 hours vs 25 hours [P = .03]), respectively. Rates of communication of social risks in discharge summaries were higher in the postimplementation group (46.8% vs 8.2% [P < .001]). CONCLUSIONS: The implementation of a stakeholder-informed social care program within a community hospital setting led to the increased identification of social risks and social work consultations and improved timeliness of social work consultations and written communication of social risks in discharge summaries for primary care providers.

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.

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.

Development and Evaluation of I-PASS-to-PICU: A Standard Electronic Template to Improve Referral Communication for Interfacility Transfers to the Pediatric ICU.

BACKGROUND: Miscommunication during interfacility handoffs to a higher level of care can harm critically ill children. Adapting evidence-based handoff interventions to interfacility referral communication may prevent adverse events. The objective of this project was to develop and evaluate a standard electronic referral template (I-PASS-to-PICU) to improve communication for interfacility pediatric ICU (PICU) transfers. METHODS: I-PASS-to-PICU was iteratively developed in a single PICU. A core PICU stakeholder group collaboratively designed an electronic health record (EHR)-supported clinical note template by adapting elements from I-PASS, an evidence-based handoff program, to support information exchange between referring clinicians and receiving PICU physicians. I-PASS-to-PICU is a receiver-driven tool used by PICU physicians to guide verbal communication and electronic documentation during PICU transfer calls. The template underwent three cycles of iterative evaluation and redesign informed by individual and group interviews of multidisciplinary PICU staff, usability testing using simulated and actual referral calls, and debriefing with PICU physicians. RESULTS: Individual and group interviews with 21 PICU staff members revealed that relevant, accurate, and concise information was needed for adequate admission preparedness. Time constraints and secondhand information transmission were identified as barriers. Usability testing with six receiving PICU physicians using simulated and actual calls revealed good usability on the validated System Usability Scale (SUS), with a mean score of 77.5 (standard deviation 10.9). Fellows indicated that most fields were relevant and that the template was feasible to use. CONCLUSION: I-PASS-to-PICU was technically feasible, usable, and relevant. The authors plan to further evaluate its effectiveness in improving information exchange during real-time PICU practice.

Implementing a Family-Centered Rounds Intervention Using Novel Mentor-Trios.

BACKGROUND AND OBJECTIVES: Patient and Family Centered I-PASS (PFC I-PASS) emphasizes family and nurse engagement, health literacy, and structured communication on family-centered rounds organized around the I-PASS framework (Illness severity-Patient summary-Action items-Situational awareness-Synthesis by receiver). We assessed adherence, safety, and experience after implementing PFC I-PASS using a novel "Mentor-Trio" implementation approach with multidisciplinary parent-nurse-physician teams coaching sites. METHODS: Hybrid Type II effectiveness-implementation study from 2/29/19-3/13/22 with ≥3 months of baseline and 12 months of postimplementation data collection/site across 21 US community and tertiary pediatric teaching hospitals. We conducted rounds observations and surveyed nurses, physicians, and Arabic/Chinese/English/Spanish-speaking patients/parents. RESULTS: We conducted 4557 rounds observations and received 2285 patient/family, 1240 resident, 819 nurse, and 378 attending surveys. Adherence to all I-PASS components, bedside rounding, written rounds summaries, family and nurse engagement, and plain language improved post-implementation (13.0%-60.8% absolute increase by item), all P < .05. Except for written summary, improvements sustained 12 months post-implementation. Resident-reported harms/1000-resident-days were unchanged overall but decreased in larger hospitals (116.9 to 86.3 to 72.3 pre versus early- versus late-implementation, P = .006), hospitals with greater nurse engagement on rounds (110.6 to 73.3 to 65.3, P < .001), and greater adherence to I-PASS structure (95.3 to 73.6 to 72.3, P < .05). Twelve of 12 measures of staff safety climate improved (eg, "excellent"/"very good" safety grade improved from 80.4% to 86.3% to 88.0%), all P < .05. Patient/family experience and teaching were unchanged. CONCLUSIONS: Hospitals successfully used Mentor-Trios to implement PFC I-PASS. Family/nurse engagement, safety climate, and harms improved in larger hospitals and hospitals with better nurse engagement and intervention adherence. Patient/family experience and teaching were not affected.

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.

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.

Eliminating Monitor Overuse (EMO) type III effectiveness-deimplementation cluster-randomized trial: Statistical analysis plan.

Background: Deimplementing overused health interventions is essential to maximizing quality and value while minimizing harm, waste, and inefficiencies. Three national guidelines discourage continuous pulse oximetry (SpO2) monitoring in children who are not receiving supplemental oxygen, but the guideline-discordant practice remains prevalent, making it a prime target for deimplementation. This paper details the statistical analysis plan for the Eliminating Monitor Overuse (EMO) SpO2 trial, which compares the effect of two competing deimplementation strategies (unlearning only vs. unlearning plus substitution) on the sustainment of deimplementation of SpO2 monitoring in children with bronchiolitis who are in room air. Methods: The EMO Trial is a hybrid type 3 effectiveness-deimplementation trial with a longitudinal cluster-randomized design, conducted in Pediatric Research in Inpatient Settings Network hospitals. The primary outcome is deimplementation sustainment, analyzed as a longitudinal difference-in-differences comparison between study arms. This analysis will use generalized hierarchical mixed-effects models for longitudinal clustering outcomes. Secondary outcomes include the length of hospital stay and oxygen supplementation duration, modeled using linear mixed-effects regressions. Using the well-established counterfactual approach, we will also perform a mediation analysis of hospital-level mechanistic measures on the association between the deimplementation strategy and the sustainment outcome. Discussion: We anticipate that the EMO Trial will advance the science of deimplementation by providing new insights into the processes, mechanisms, and likelihood of sustained practice change using rigorously designed deimplementation strategies. This pre-specified statistical analysis plan will mitigate reporting bias and support data-driven approaches. Trial registration: ClinicalTrials.gov NCT05132322. Registered on 24 November 2021.

Systematic Review of the Impact of Physician Work Schedules on Patient Safety with Meta-Analyses of Mortality Risk.

Resident physician work hour limits continue to be controversial. Numerous trials have come to conflicting conclusions about the impact on patient safety of eliminating extended duration work shifts. We conducted meta-analyses to evaluate the impact of work hour policies and work schedules on patient safety. After identifying 8,362 potentially relevant studies and reviewing 688 full-text articles, 132 studies were retained and graded on quality of evidence. Of these, 68 studies provided enough information for consideration in meta-analyses. We found that patient safety improved following implementation of the Accreditation Council for Graduate Medical Education's 2003 and 2011 resident physicians work hour guidelines. Limiting all resident physicians to 80-hour work weeks and 28-hour shifts in 2003 was associated with an 11% reduction in mortality (p < 0.001). Limited shift durations and shorter work weeks were also associated with improved patient safety in clinical trials and observational studies not specifically tied to policy changes. Given the preponderance of evidence showing that patient and physician safety is negatively affected by long work hours, efforts to improve physician schedules should be prioritized. Policies that enable extended-duration shifts and long work weeks should be reexamined. Further research should expand beyond resident physicians to additional study populations, including attending physicians and other health care workers.

In their own words: Safety and quality perspectives from families of hospitalized children with medical complexity.

BACKGROUND: Children with medical complexity (CMC) experience adverse events due to multiorgan impairment, frequent hospitalizations, subspecialty care, and dependence on multiple medications/equipment. Their families are well-versed in care and can help identify safety/quality gaps to inform improvements. Although previous studies have shown families identify important safety/quality gaps in hospitals, studies of inpatient safety/quality experience of CMC and their families are limited. To address this gap and identify otherwise unrecognized, family-prioritized areas for improving safety/quality of CMC, we conducted a secondary qualitative analysis of safety reporting surveys among families of CMC. OBJECTIVE: Explore safety reports from families of hospitalized CMC to identify areas to improve safety/quality. DESIGNS, SETTINGS AND PARTICIPANTS: We analyzed free-text responses from predischarge safety reporting surveys administered to families of CMC at a quaternary children's hospital from April 2018 to November 2020. Using a qualitative descriptive approach, we categorized responses into standard clinical categories. Three team members inductively generated an initial codebook to apply iteratively to responses. Reviewers coded responses collaboratively, resolved discrepancies through consensus, and generated themes. MAIN OUTCOME AND MEASURES: Outcomes: family-reported areas of safety/quality improvement. MEASURES: pre-discharge family surveys. RESULTS: Two hundred and eight/two hundred and thirty-seven (88%) families completed surveys; 83 families offered 138 free-text safety responses about medications, feeds, cares, and other categories. Themes included unmet expectations of hospital care/environment, lack of consistency, provider-patient communication lapses, families' expertise about care, and the value of transparency. CONCLUSION: To improve care of CMC and their families, hospitals can manage expectations about hospital limitations, improve consistency of care/communication, acknowledge family expertise, and recognize that family-observed quality concerns can have safety implications. Soliciting family input can help hospitals improve care in meaningful, otherwise unrecognized ways.

Impact of work schedules of senior resident physicians on patient and resident physician safety: nationwide, prospective cohort study.

Objective: To determine whether long weekly work hours and shifts of extended duration (≥24 hours) are associated with adverse patient and physician safety outcomes in more senior resident physicians (postgraduate year 2 and above; PGY2+). Design: Nationwide, prospective cohort study. Setting: United States, conducted over eight academic years (2002-07, 2014-17). Participants: 4826 PGY2+ resident physicians who completed 38 702 monthly web based reports of their work hours and patient and resident safety outcomes. Main outcome measures: Patient safety outcomes included medical errors, preventable adverse events, and fatal preventable adverse events. Resident physician health and safety outcomes included motor vehicle crashes, near miss crashes, occupational exposures to potentially contaminated blood or other bodily fluids, percutaneous injuries, and attentional failures. Data were analysed with mixed effects regression models that accounted for dependence of repeated measures and controlled for potential confounders. Results: Working more than 48 hours per week was associated with an increased risk of self-reported medical errors, preventable adverse events, and fatal preventable adverse events as well as near miss crashes, occupational exposures, percutaneous injuries, and attentional failures (all P<0.001). Working between 60 and 70 hours per week was associated with a more than twice the risk of a medical error (odds ratio 2.36, 95% confidence interval 2.01 to 2.78) and almost three times the risk of preventable adverse events (2.93, 2.04 to 4.23) and fatal preventable adverse events (2.75, 1.23 to 6.12). Working one or more shifts of extended duration in a month while averaging no more than 80 weekly work hours was associated with an 84% increased risk of medical errors (1.84, 1.66 to 2.03), a 51% increased risk of preventable adverse events (1.51, 1.20 to 1.90), and an 85% increased risk of fatal preventable adverse events (1.85, 1.05 to 3.26). Similarly, working one or more shifts of extended duration in a month while averaging no more than 80 weekly work hours also increased the risk of near miss crashes (1.47, 1.32 to 1.63) and occupational exposures (1.17, 1.02 to 1.33). Conclusions: These results indicate that exceeding 48 weekly work hours or working shifts of extended duration endangers even experienced (ie, PGY2+) resident physicians and their patients. These data suggest that regulatory bodies in the US and elsewhere should consider lowering weekly work hour limits, as the European Union has done, and eliminating shifts of extended duration to protect the more than 150 000 physicians training in the US and their patients.

Sustainment of continuous pulse oximetry deimplementation: Analysis of Eliminating Monitor Overuse study data from six hospitals.

Using continuous pulse oximetry (cSpO2 ) to monitor children with bronchiolitis who are not receiving supplemental oxygen is a form of medical overuse. In this longitudinal analysis from the Eliminating Monitor Overuse (EMO) study, we aimed to assess changes in cSpO2 overuse before, during, and after intensive cSpO2 -deimplementation efforts in six hospitals. Monitoring data were collected during three phases: "P1" baseline, "P2" active deimplementation (all sites engaged in education and audit and feedback strategies), and "P3" sustainment (a new baseline measured after strategies were withdrawn). Two thousand and fifty-three observations were analyzed. We found that each hospital experienced reductions during active deimplementation (P2), with overall adjusted cSpO2 overuse decreasing from 53%, 95% confidence interval (CI): (49-57) to 22%, 95% CI: (19-25) between P1 and P2. However, following the withdrawal of deimplementation strategies, overuse rebounded in all six sites, with overall adjusted cSpO2 overuse increasing to 37%, 95% CI: (33-41) in P3.

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.

Effect of Patient and Family Centered I-PASS on adverse event rates in hospitalized children with complex chronic conditions.

BACKGROUND: Children with complex chronic conditions (CCCs) are at risk for adverse events (AEs) during hospitalizations. OBJECTIVE: We compared the effect of Patient and Family Centered (PFC)I-PASS on AE rates in children with and without CCCs. DESIGNS, SETTINGS, AND PARTICIPANTS: Patients were drawn from the PFCI-PASS study, which included 3106 hospitalized children from seven North American pediatric hospitals between December 2014 and January 2017. MAIN OUTCOME AND MEASURES: An effect modification analysis did not show difference in the intervention on children with and without CCCs (RRR 0.81, 95% CI [0.59-1.10]; p = .2). RESULTS: In multivariable analysis, the adjusted incidence rate ratiofor AEs in children with CCCs was 0.5 (95% CI = 0.3-0.9, p = .01) with PFC I-PASS exposure; there was no statistically significant change in AEs for children without CCCs [IRR 0.6 (95% CI = 0.3-1.2; p = .1)].

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.

Implementation of the I-PASS handoff program in diverse clinical environments: A multicenter prospective effectiveness implementation study.

BACKGROUND: Handoff miscommunications are a leading source of medical errors. Harmful medical errors decreased in pediatric academic hospitals following implementation of the I-PASS handoff improvement program. However, implementation across specialties has not been assessed. OBJECTIVE: To determine if I-PASS implementation across diverse settings would be associated with improvements in patient safety and communication. DESIGN: Prospective Type 2 Hybrid effectiveness implementation study. SETTINGS AND PARTICIPANTS: Residents from diverse specialties across 32 hospitals (12 community, 20 academic). INTERVENTION: External teams provided longitudinal coaching over 18 months to facilitate implementation of an enhanced I-PASS program and monthly metric reviews. MAIN OUTCOME AND MEASURES: Systematic surveillance surveys assessed rates of resident-reported adverse events. Validated direct observation tools measured verbal and written handoff quality. RESULTS: 2735 resident physicians and 760 faculty champions from multiple specialties (16 internal medicine, 13 pediatric, 3 other) participated. 1942 error surveillance reports were collected. Major and minor handoff-related reported adverse events decreased 47% following implementation, from 1.7 to 0.9 major events/person-year (p < .05) and 17.5 to 9.3 minor events/person-year (p < .001). Implementation was associated with increased inclusion of all five key handoff data elements in verbal (20% vs. 66%, p < .001, n = 4812) and written (10% vs. 74%, p < .001, n = 1787) handoffs, as well as increased frequency of handoffs with high quality verbal (39% vs. 81% p < .001) and written (29% vs. 78%, p < .001) patient summaries, verbal (29% vs. 78%, p < .001) and written (24% vs. 73%, p < .001) contingency plans, and verbal receiver syntheses (31% vs. 83%, p < .001). Improvement was similar across provider types (adult vs. pediatric) and settings (community vs. academic).

National improvements in resident physician-reported patient safety after limiting first-year resident physicians' extended duration work shifts: a pooled analysis of prospective cohort studies.

BACKGROUND: The Accreditation Council for Graduate Medical Education (ACGME) enacted a policy in 2011 that restricted first-year resident physicians in the USA to work no more than 16 consecutive hours. This was rescinded in 2017. METHODS: We conducted a nationwide prospective cohort study of resident physicians for 5 academic years (2002-2007) before and for 3 academic years (2014-2017) after implementation of the 16 hours 2011 ACGME work-hour limit. Our analyses compare trends in resident physician-reported medical errors between the two cohorts to evaluate the impact of this policy change. RESULTS: 14 796 residents provided data describing 78 101 months of direct patient care. After adjustment for potential confounders, the work-hour policy was associated with a 32% reduced risk of resident physician-reported significant medical errors (rate ratio (RR) 0.68; 95% CI 0.64 to 0.72), a 34% reduced risk of reported preventable adverse events (RR 0.66; 95% CI 0.59 to 0.74) and a 63% reduced risk of reported medical errors resulting in patient death (RR 0.37; 95% CI 0.28 to 0.49). CONCLUSIONS: These findings have broad relevance for those who work in and receive care from academic hospitals in the USA. The decision to lift this work hour policy in 2017 may expose patients to preventable harm.