7 research outputs found
The Evolving Educational Challenge: Balancing Patient Numbers, Conference Attendance, Sleep, and Resident Wellness
The Accreditation Council on Graduate Medical Education (ACMGE) 2011 guidelines for resident physicians specifically limited interns to 16-hour shifts and forced a paradigm switch from traditional overnight call.1 In “Shift Schedules and Intern Work Hours, Patient Numbers, Conference Attendance, and Sleep at a Single Pediatric Residency Program,”2 we prospectively compared intern work hours, patient numbers, conference attendance, sleep duration, pattern, and quality in 2003 and 2011 ACGME duty hour compliant call schedules at a single pediatric residency program. We concluded that a shift schedule reduced intern work hours and improved sleep duration and pattern. Although intern didactic conference attendance declined significantly during high census months, opportunities for experiential learning in a shift schedule remained robust with unchanged or increased intern patient numbers. Since the publication of our study, the ACGME has removed the 16-hour intern work hour limit, but still requires a maximum 80-hour work week and limits consecutive time on-task to 24 hours, plus 4 hours to transition care.1 Educators aim to provide the best clinical education for residents, while meeting requirements. In this progress report, we consider our study's findings in light of what has been published since October 2016 and discuss innovative scheduling, didactic and experiential resident education, resident sleep, and wellness and areas for future work
The Evolving Educational Challenge: Balancing Patient Numbers, Conference Attendance, Sleep, and Resident Wellness
The Immediate and Long-Term Impact of Pregnancy on Aortic Growth Rate and Mortality in Women With Marfan Syndrome
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Family, nurse, and physician beliefs on family‐centered rounds: A 21‐site study
BackgroundVariation exists in family-centered rounds (FCR).ObjectiveWe sought to understand patient/family and clinician FCR beliefs/attitudes and practices to support implementation efforts.Designs, settings and participantsPatients/families and clinicians at 21 geographically diverse US community/academic pediatric teaching hospitals participated in a prospective cohort dissemination and implementation study.InterventionWe inquired about rounding beliefs/attitudes, practices, and demographics using a 26-question survey coproduced with family/nurse/attending-physician collaborators, informed by prior research and the Consolidated Framework for Implementation Research.Main outcome and measuresOut of 2578 individuals, 1647 (64%) responded to the survey; of these, 1313 respondents participated in FCR and were included in analyses (616 patients/families, 243 nurses, 285 resident physicians, and 169 attending physicians). Beliefs/attitudes regarding the importance of FCR elements varied by role, with resident physicians rating the importance of several FCR elements lower than others. For example, on adjusted multivariable analysis, attending physicians (odds ratio [OR] 3.0, 95% confidence interval [95% CI] 1.2-7.8) and nurses (OR 3.1, 95% CI 1.3-7.4) were much more likely than resident physicians to report family participation on rounds as very/extremely important. Clinician support for key FCR elements was higher than self-reported practice (e.g., 88% believed family participation was important on rounds; 68% reported it often/always occurred). In practice, key elements of FCR were reported to often/always occur only 23%-70% of the time.ResultSupport for nurse and family participation in FCR is high among clinicians but varies by role. Physicians, particularly resident physicians, endorse several FCR elements as less important than nurses and patients/families. The gap between attitudes and practice and between clinician types suggests that attitudinal, structural, and cultural barriers impede FCR
Families as Partners in Hospital Error and Adverse Event Surveillance
ImportanceMedical 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.ObjectiveTo 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 participantsWe 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 measuresError and AE rates.ResultsOverall, 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 relevanceFamilies 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
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Families as Partners in Hospital Error and Adverse Event Surveillance
ImportanceMedical 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.ObjectiveTo 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 participantsWe 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 measuresError and AE rates.ResultsOverall, 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 relevanceFamilies 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