10 research outputs found

    Patient safety incident capture resulting from incident reports: a comparative observational analysis

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    BACKGROUND: Patient safety incident (PSI) discovery is an essential component of quality improvement. When submitted, incident reports may provide valuable opportunities for PSI discovery. However, little objective information is available to date to quantify or demonstrate this value. The objective of this investigation was to assess how often Emergency Department (ED) incident reports submitted by different sources led to the discovery of PSIs. METHODS: A standardized peer review process was implemented to evaluate all incident reports submitted to the ED. Findings of the peer review analysis were recorded prospectively in a quality improvement database. A retrospective analysis of the quality improvement database was performed to calculate the PSI capture rates for incident reports submitted by different source groups. RESULTS: 363 incident reports were analyzed over a period of 18 months; 211 were submitted by healthcare providers (HCPs) and 126 by non-HCPs. PSIs were identified in 108 resulting in an overall capture rate of 31%. HCP-generated reports resulted in a 44% capture rate compared to 10% for non-HCPs (p \u3c 0.001). There was no difference in PSI capture between sub-groups of HCPs and non-HCPs. CONCLUSION: HCP-generated ED incident reports were much more likely to capture PSIs than reports submitted by non-HCPs. However, HCP reports still led to PSI discovery less than half the time. Further research is warranted to develop effective strategies to improve the utility of incident reports from both HCPs and non-HCPs

    Emergency department patient safety incident characterization: an observational analysis of the findings of a standardized peer review process

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    BACKGROUND: Emergency Department (ED) care has been reported to be prone to patient safety incidents (PSIs). Improving our understanding of PSIs is essential to prevent them. A standardized, peer review process was implemented to identify and analyze ED PSIs. The primary objective of this investigation was to characterize ED PSIs identified by the peer review process. A secondary objective was to characterize PSIs that led to patient harm. In addition, we sought to provide a detailed description of the peer review process for others to consider as they conduct their own quality improvement initiatives. METHODS: An observational study was conducted in a large, urban, tertiary-care ED. Over a two-year period, all ED incident reports were investigated via a standardized, peer review process. PSIs were identified and analyzed for contributing factors including systems failures and practitioner-based errors. The classification system for factors contributing to PSIs was developed based on systems previously reported in the emergency medicine literature as well as the investigators\u27 experience in quality improvement and peer review. All cases in which a PSI was discovered were further adjudicated to determine if patient harm resulted. RESULTS: In 24 months, 469 cases were investigated, identifying 152 PSIs. In total, 188 systems failures and 96 practitioner-based errors were found to have contributed to the PSIs. In twelve cases, patient harm was determined to have resulted from PSIs. Systems failures were identified in eleven of the twelve cases in which a PSI resulted in patient harm. CONCLUSION: Systems failures were almost twice as likely as practitioner-based errors to contribute to PSIs, and systems failures were present in the majority of cases resulting in patient harm. To effectively reduce PSIs, ED quality improvement initiatives should focus on systems failure reduction

    Financial Implications of Boarding: A Call for Research

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    Boarding, the practice of holding patients in emergency departments (ED) after a decision has been made to admit them to the hospital, is well known to adversely affect patient care. Multiple investigations have shown that boarding negatively impacts quality and patient safety outcomes including mortality, readmission rate, hospital length of stay, and patient satisfaction. In addition, boarding is known to be a major contributor to overall ED crowding, which also has been demonstrated to have significant negative impact on quality and safety. Multiple operational tactics are known to reduce boarding but, concerningly, adoption of them has been inconsistent. Also concerning, ED boarding appears to be worsening over time, based upon our unpublished year-over-year review of two large national ED operations benchmarking databases, the Emergency Department Benchmarking Alliance and the Academy of Administrators in Academic Emergency Medicine/Association of Academic Chairs of Emergency Medicine. The constellation of boarding having been known to adversely affect patient care outcomes for over two decades, inconsistent implementation of tactics known to reduce boarding, and evidence that boarding may be worsening over time naturally raises questions of the barriers to improvement. Chief among these questions is why implementation of boarding-reduction tactics has not consistently occurred, despite their clear benefits. In that regard, some experts have postulated that financial drivers may be at play. To investigate the potential for financial drivers contributing to boarding, we performed a systematic review, pre-registered with PROSPERO (#CRD42016037794)

    Accuracy of physician self‐estimation of time spent during patient care in the emergency department

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    Abstract Objective Accurate measurement of physicians’ time spent during patient care stands to inform emergency department (ED) improvement efforts. Direct observation is time consuming and cost prohibitive, so we sought to determine if physician self‐estimation of time spent during patient care was accurate. Methods We performed a prospective, convenience‐sample study in which research assistants measured time spent by ED physicians in patient care. At the conclusion of each observed encounter, physicians estimated their time spent. Using Mann–Whitney U tests and Spearman's rho, we compared physician estimates to actual time spent and assessed for associations of encounter characteristics and physician estimation. Results Among 214 encounters across 10 physicians, we observed a medium‐sized correlation between actual and estimated time (Spearman's rho = 0.63, p < 0.001), and in aggregate, physicians underestimated time spent by a median of 0.1 min. An equal number of encounters were overestimated and underestimated. Underestimated encounters were underestimated by a median of 5.1 min (interquartile range [IQR] 2.5–9.8) and overestimated encounters were overestimated by a median of 4.3 min (IQR 2.5–11.6)—26.3% and 27.9% discrepancy, respectively. In terms of actual time spent, underestimated encounters (median 19.3 min, IQR 13.5–28.3) were significantly longer than overestimated encounters (median 15.3 min, IQR 11.3–20.5) (p < 0.001). Conclusions Physician self‐estimation of time spent was accurate in aggregate, providing evidence that it is a valid surrogate marker for larger‐scale process improvement and research activities, but likely not at the encounter level. Investigations exploring mechanisms to augment physician self‐estimation, including modeling and technological support, may yield pathways to make self‐estimation valid also at the encounter level

    Contributions of Academic Emergency Medicine Programs to U.S. Health Care: Summary of the AAAEM-AACEM Benchmarking Data

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    OBJECTIVES: The societal contribution of emergency care in the United States has been described. The role and impact of academic emergency departments (EDs) has been less clear. Our report summarizes the results of a benchmarking effort specifically focused on academic emergency medicine (EM) practices. METHODS: From October through December 2016, the Academy of Academic Administrators of Emergency Medicine (AAAEM) and the Association of Academic Chairs of Emergency Medicine (AACEM) jointly administered a benchmarking survey to allopathic, academic departments and divisions of emergency medicine. Participation was voluntary and nonanonymous. The survey queried various aspects of the three components of the tripartite academic mission: clinical care, education and research, and faculty effort and compensation. Responses reflected a calendar year from July 1, 2015, to June 30, 2016. RESULTS: Of 107 eligible U.S. allopathic, academic departments and divisions of emergency medicine, 79 (74%) responded to the survey overall, although individual questions were not always answered by all responding programs. The 79 responding programs reported 6,876,189 patient visits at 97 primary and affiliated academic clinical sites. A number of clinical operations metrics related to the care of these patients at these sites are reported in this study. All responding programs had active educational programs for EM residents, with a median of 37 residents per program. Nearly half of the overall respondents reported responsibility for teaching medical students in mandatory EM clerkships. Fifty-two programs reported research and publication activity, with a total of 129,494,676ofgrantfundingand3,059publications.Medianfacultyeffortdistributionwasclinicaleffort,66.9129,494,676 of grant funding and 3,059 publications. Median faculty effort distribution was clinical effort, 66.9%; education effort, 12.7%; administrative effort, 12.0%; and research effort, 6.9%. Median faculty salary was 277,045. CONCLUSIONS: Academic EM programs are characterized by significant productivity in clinical operations, education, and research. The survey results reported in this investigation provide appropriate benchmarking for academic EM programs because they allow for comparison of academic programs to each other, rather than nonacademic programs that do not necessarily share the additional missions of research and education and may have dissimilar working environments

    Code Help: Can This Unique State Regulatory Intervention Improve Emergency Department Crowding?

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    Introduction: Emergency department (ED) crowding adversely affects multiple facets of high-quality care. The Commonwealth of Massachusetts mandates specific, hospital action plans to reduce ED boarding via a mechanism termed “Code Help.” Because implementation appears inconsistent even when hospital conditions should have triggered its activation, we hypothesized that compliance with the Code Help policy would be associated with reduction in ED boarding time and total ED length of stay (LOS) for admitted patients, compared to patients seen when the Code Help policy was not followed. Methods: This was a retrospective analysis of data collected from electronic, patient-care, timestamp events and from a prospective Code Help registry for consecutive adult patients admitted from the ED at a single academic center during a 15-month period. For each patient, we determined whether the concurrent hospital status complied with the Code Help policy or violated it at the time of admission decision. We then compared ED boarding time and overall ED LOS for patients cared for during periods of Code Help policy compliance and during periods of Code Help policy violation, both with reference to patients cared for during normal operations. Results: Of 89,587 adult patients who presented to the ED during the study period, 24,017 (26.8%) were admitted to an acute care or critical care bed. Boarding time ranged from zero to 67 hours 30 minutes (median 4 hours 31 minutes). Total ED LOS for admitted patients ranged from 11 minutes to 85 hours 25 minutes (median nine hours). Patients admitted during periods of Code Help policy violation experienced significantly longer boarding times (median 20 minutes longer) and total ED LOS (median 46 minutes longer), compared to patients admitted under normal operations. However, patients admitted during Code Help policy compliance did not experience a significant increase in either metric, compared to normal operations. Conclusion: In this single-center experience, implementation of the Massachusetts Code Help regulation was associated with reduced ED boarding time and ED LOS when the policy was consistently followed, but there were adverse effects on both metrics during violations of the policy

    Association of hospital contact precaution policies with emergency department admission time

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    BACKGROUND: Contact precautions are a widely accepted strategy to reduce in-hospital transmission of meticillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE). However, these practices may have unintended deleterious effects on patients. AIM: To evaluate the effect of a modification in hospital-wide contact precaution practices on emergency department (ED) admission times. METHODS: During the study period, the hospital changed its contact precaution policy from requiring contact precautions for all patients with a history of MRSA or VRE to only those who presented with clinical conditions likely to contaminate the environment with pathogens. An interrupted time series analysis of ED admission times for adults for one year preceding and one year following this change was performed at a two-campus hospital. The main outcome was admission time, defined as time from decision to admit to arrival in an inpatient bed, for patients with MRSA or VRE compared with all other patients. The in-hospital MRSA and VRE acquisition rates were evaluated over the same period and have been published previously. FINDINGS: At one campus, admission time decreased immediately by 161min for MRSA patients (P=0.008) and 135min for VRE patients (P=0.003), and both continued to decrease over the duration of the study. There was no significant change in admission time at the second campus. CONCLUSIONS: Modifying contact precaution requirements for MRSA and VRE may be associated with improved ED admission time without significantly altering in-hospital MRSA and VRE acquisition
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