Errors in emergency medicine: a call to action

Contributors to Diagnostic Error or Delay in the Acute Care Setting: A Survey of Clinical Stakeholders

Diagnostic error or delay (DEOD) is common in the acute care setting and results in poor patient outcomes. Many factors contribute to DEOD, but little is known about how contributors may differ across acute care areas and professional roles. As part of a sequential exploratory mixed methods research study, we surveyed acute care clinical stakeholders about the frequency with which different factors contribute to DEOD. Survey respondents could also propose solutions in open text fields. N = 220 clinical stakeholders completed the survey. Care Team Interactions, Systems and Process, Patient, Provider, and Cognitive factors were perceived to contribute to DEOD with similar frequency. Organization and Infrastructure factors were perceived to contribute to DEOD significantly less often. Responses did not vary across acute care setting. Physicians perceived Cognitive factors to contribute to DEOD more frequently compared to those in other roles. Commonly proposed solutions included: technological solutions, organization level fixes, ensuring staff know and are encouraged to work to the full scope of their role, and cultivating a culture of collaboration and respect. Multiple factors contribute to DEOD with similar frequency across acute care areas, suggesting the need for a multi-pronged approach that can be applied across acute care areas.

Pitfalls in Emergency Medicine: Survey-Based Identification of Learning Objectives for Targeted Simulation Curricula by Emergency Department Staff

INTRODUCTION

The emergency department is a complex practice environment into which numerous factors may introduce both human and system error. Emergency physicians have to assemble and manage multidisciplinary teams with a moment's notice to manage critically ill patients. The EM training programs across Canada are diverse with considerable variation among programs. Acquisition of both high acuity low occurrence (HALO) and crisis resource management (CRM) skills are crucial to the development of proficient emergency room physicians. Physicians and allied health workers were surveyed to identify potential causes of error in local emergency departments and to find simulation-driven solutions.

METHODS

An anonymous survey was prepared to evaluate potential pitfalls of emergency care in St. John's, NL, Canada. It was distributed electronically to 108 medical staff, including physicians, nurses, and postgraduate year three (PGY3) residents. Respondents were asked about their experience with simulation education, and whether or not they feel that there is an opportunity for it in postgraduate emergency medicine training.

RESULTS

The response rate was 30%. Communication - with the emergency department team, consulting services, and patients - was identified as a potential topic for simulation, along with interruptions. Burnout, busy department, departmental crowding, end of shift handover, and incomplete/missing patient medical history were identified as topics that should be included in the emergency medicine curriculum. Following a review with the simulation expert panel, it was determined that end of shift handover could also be incorporated as a simulation in the existing curriculum.

DISCUSSION

This survey looked at pitfalls in emergency medicine through a CRM lens. Six pitfalls were identified as important for patient safety, but not best addressed with simulation. These could be incorporated into the half-day curriculum as didactic lectures. Four important patient safety pitfalls were identified that could potentially be addressed with simulation and incorporated in the existing emergency medicine simulation curriculum.

Diagnostic errors related to acute abdominal pain in the emergency department

OBJECTIVE

Diagnostic errors in the emergency department (ED) are harmful and costly. We reviewed a selected high-risk cohort of patients presenting to the ED with abdominal pain to evaluate for possible diagnostic errors and associated process breakdowns.

DESIGN

We conducted a retrospective chart review of ED patients >18 years at an urban academic hospital. A computerised 'trigger' algorithm identified patients possibly at high risk for diagnostic errors to facilitate selective record reviews. The trigger determined patients to be at high risk because they: (1) presented to the ED with abdominal pain, and were discharged home and (2) had a return ED visit within 10 days that led to a hospitalisation. Diagnostic errors were defined as missed opportunities to make a correct or timely diagnosis based on the evidence available during the first ED visit, regardless of patient harm, and included errors that involved both ED and non-ED providers. Errors were determined by two independent record reviewers followed by team consensus in cases of disagreement.

RESULTS

Diagnostic errors occurred in 35 of 100 high-risk cases. Over two-thirds had breakdowns involving the patient-provider encounter (most commonly history-taking or ordering additional tests) and/or follow-up and tracking of diagnostic information (most commonly follow-up of abnormal test results). The most frequently missed diagnoses were gallbladder pathology (n=10) and urinary infections (n=5).

CONCLUSIONS

Diagnostic process breakdowns in ED patients with abdominal pain most commonly involved history-taking, ordering insufficient tests in the patient-provider encounter and problems with follow-up of abnormal test results.

Quantifying federal funding and scholarly output related to the academic emergency medicine consensus conferences

PURPOSE

Every year since 2000, Academic Emergency Medicine (AEM) has presented a one-day consensus conference to generate a research agenda for advancement of a scientific topic. One of the 12 annual issues of AEM is reserved for the proceedings of these conferences. The purpose of this study was to measure academic productivity of these conferences by evaluating subsequent federal research funding received by authors of conference manuscripts and calculating citation counts of conference papers.

METHOD

This was a cross-sectional study. In 2012, the NIH RePORTER system was searched to identify subsequent federal funding obtained by authors of the consensus conference issues from 2000 to 2010. Funded projects were coded as related or unrelated to conference topic. Citation counts for all conference manuscripts were quantified using Scopus and Google Scholar. Simple descriptive statistics were reported.

RESULTS

Eight hundred fifty-two individual authors contributed to 280 papers published in the 11 consensus conference issues. One hundred thirty-seven authors (16%) obtained funding for 318 projects. A median of 22 topic-related projects per conference (range 10-97) accounted for a median of $20,488,331 per conference (range $7,779,512 to $122,918,205). The average (± SD) number of citations per paper was 15.7 ± 20.5 in Scopus and 23.7 ± 32.6 in Google Scholar.

CONCLUSIONS

The authors of consensus conference manuscripts obtained significant federal grant support for follow-up research related to conference themes. In addition, the manuscripts generated by these conferences were frequently cited. Conferences devoted to research agenda development appear to be an academically worthwhile endeavor.

How familiar are clinician teammates in the emergency department?

OBJECTIVES

Lack of familiarity between teammates is linked to worsened safety in high risk settings. The emergency department (ED) is a high risk healthcare setting where unfamiliar teams are created by diversity in clinician shift schedules and flexibility in clinician movement across the department. We sought to characterise familiarity between clinician teammates in one urban teaching hospital ED over a 22 week study period.

METHODS

We used a retrospective study design of shift scheduling data to calculate the mean weekly hours of familiarity between teammates at the dyadic level, and the proportion of clinicians with a minimum of 2, 5, 10 and 20 h of familiarity at any given hour during the study period.

RESULTS

Mean weekly hours of familiarity between ED clinician dyads was 2 h (SD 1.5). At any given hour over the study period, the proportions of clinicians with a minimum of 2, 5, 10 and 20 h of familiarity were 80%, 51%, 27% and 0.8%, respectively.

CONCLUSIONS

In our study, few clinicians could be described as having a high level of familiarity with teammates. The limited familiarity between ED clinicians identified in this study may be a natural feature of ED care delivery in academic settings. We provide a template for measurement of ED team familiarity.

An unexpected diagnosis: simulation reveals unanticipated deficiencies in resident physician dysrhythmia knowledge

Decision support tools are an important adjunct to medical resuscitation. We initiated a study comparing the use of the traditional code book method versus a computerized decision support system. However, appropriate use of the tools requires correct initial recognition of the dysrhythmia. Using simulation, numerous deficiencies were revealed regarding resident physician dysrhythmia knowledge. Most importantly, the rate of incorrect dysrhythmia recognition required discontinuation of the initial study, reorganization, and implementation of a modified study to achieve the study purpose.

ED overcrowding is associated with an increased frequency of medication errors

OBJECTIVES

Despite the growing problems of emergency department (ED) crowding, the potential impact on the frequency of medication errors occurring in the ED is uncertain. Using a metric to measure ED crowding in real time (the Emergency Department Work Index, or EDWIN, score), we sought to prospectively measure the correlation between the degree of crowding and the frequency of medication errors occurring in our ED as detected by our ED pharmacists.

METHODS

We performed a prospective, observational study in a large, community hospital ED of all patients whose medication orders were evaluated by our ED pharmacists for a 3-month period. Our ED pharmacists review the orders of all patients in the ED critical care section and the Chest Pain unit, and all admitted patients boarding in the ED. We measured the Spearman correlation between average daily EDWIN score and number of medication errors detected and determined the score's predictive performance with receiver operating characteristic (ROC) curves.

RESULTS

A total of 283 medication errors were identified by the ED pharmacists over the study period. Errors included giving medications at incorrect doses, frequencies, durations, or routes and giving contraindicated medications. Error frequency showed a positive correlation with daily average EDWIN score (Spearman's rho = 0.33; P = .001). The area under the ROC curve was 0.67 (95% confidence interval, 0.56-0.78) with failure defined as greater than 1 medication error per day.

CONCLUSIONS

We identified an increased frequency of medication errors in our ED with increased crowding as measured with a real-time modified EDWIN score.

Shifting Toward Balance: Measuring the Distribution of Workload Among Emergency Physician Teams

STUDY OBJECTIVE

The objective of this investigation is to determine time-dependent workload patterns for emergency department (ED) physician teams across work shifts. A secondary aim was to demonstrate how ED demand patterns and the timing of shift changes influence the balance of workload among a physician team.

METHODS

Operational measurements of an adult ED were collected from a clinical information system to characterize physician workload patterns during all current work shifts. Plots of patient load versus time were developed for each physician shift, in which patient load was defined as the number of patients a physician simultaneously managed at a point in time. Patient-load curves for each shift were superimposed during 24 hours to display how patient load was distributed among a team of physicians.

RESULTS

Resident shift changes during daily peak occupancy periods caused patient load imbalances so that residents on a particular shift consistently managed a disproportionate number of patients (mean 9.4 patients; 95% confidence interval [CI] 6.7 to 12.1 patients) compared with other residents on duty (mean 3.4 patients; 95% CI 2.1 to 4.7 patients).

CONCLUSION

Physician patient load patterns and ED demand patterns should be taken into consideration when physician shift times are scheduled so that patient load may be balanced among a team. Real-time monitoring of physician patient load may reduce stress and prevent physicians from exceeding their safe capacity for workload.

Evidence-based emergency medicine. Creating a system to facilitate translation of evidence into standardized clinical practice: a preliminary report

STUDY OBJECTIVE

The Institute of Medicine, through its landmark report concerning errors in medicine, suggests that standardization of practice through systematic development and implementation of evidence-based clinical pathways is an effective way of reducing errors in emergency systems. The specialty of emergency medicine is well positioned to develop a complete system of innovative quality improvement, incorporating best practice guidelines with performance measures and practitioner feedback mechanisms to reduce errors and therefore improve quality of care. This article reviews the construction, ongoing development, and initial impact of such a system at a large, urban, university teaching hospital and at 2 affiliated community hospitals.

METHODS

The Committee for Procedural Quality and Evidence-Based Practice was formed within the Department of Emergency Medicine to establish evidence-based guidelines for nursing and provider care. The committee measures the effect of such guidelines, along with other quality measures, through pre- and postguideline patient care medical record audits. These measures are fed back to the providers in a provider-specific, peer-matched "scorecard."

RESULTS

The Committee for Procedural Quality and Evidence-Based Practice affects practice and performance within our department. Multiple physician and nursing guidelines have been developed and put into use. Using asthma as an example, time to first nebulizer treatment and time to disposition from the emergency department decreased. Initial therapeutic agent changed and documentation improved.

CONCLUSION

A comprehensive, guideline-driven, evidence-based approach to clinical practice is feasible within the structure of a department of emergency medicine. High-level departmental support with dedicated personnel is necessary for the success of such a system. Internet site development (available at http://www.CPQE.com) for product storage has proven valuable. Patient care has been improved in several ways; however, consistent and complete change in provider behavior remains elusive. Physician scorecards may play a role in altering these phenomena. Emergency medicine can play a leadership role in the development of quality improvement, error reduction, and pay-for-performance systems.

Pediatric patient safety in the prehospital/emergency department setting

The unique characteristics of the pediatric population expose them to errors in the emergency department (ED) with few standard practices for the safety of care. Young children and high-acuity patients are at increased risk of adverse events both in the prehospital and ED settings. We provide an overview of the problems and possible solutions to the threats to pediatric patient safety in the ED. Endorsing a culture of safety and training to work in a team are discussed. Medication errors can be reduced by using organizational systems, and manufacturing and regulatory systems, by educating health care providers, and by providing caregivers tools to monitor prescribing. The consensus is that a safe environment with a high quality of care will reduce morbidity and mortality in ED pediatric patients.

Adverse events following an emergency department visit

BACKGROUND

Many studies demonstrate a high rate of treatment-related adverse outcomes or adverse events. No studies have prospectively evaluated adverse events in patients discharged home from the emergency department (ED).

OBJECTIVE

To describe the types of adverse events in patients discharged home from an ED.

PATIENTS

PATIENTS who were sent home directly from the ED of an urban, academic teaching hospital in Ottawa, Canada.

METHODS

Patient records were reviewed to identify demographic and medical history information. Two weeks following the ED visit, patients completed a standard telephone interview to record post ED visit outcomes. Two physicians reviewed outcomes to identify all adverse events and their cause.

RESULTS

Follow-up was complete for 399 of 408 enrolled patients. The median age was 49 years (interquartile range 36-68) and 50% were male. The most common diagnosis was "chest pain", occurring in 74 patients (18%), followed by "bone and joint disorders" in 55 patients (14%). 24 patients experienced an adverse event (incidence 6% (95% CI 4% to 9%)), of which 17 were preventable (incidence 4% (95% CI 3% to 7%)). Five of the unpreventable adverse events were medication side effects and two were minor, procedure-related complications. Of all 24 adverse events, 15 (63%; 95% CI 43 to 79%) led to an additional ED visit or a hospitalisation. Preventable adverse events occurred in 5 of 78 chest pain patients (incidence 6% (95% CI 3% to 14%)).

CONCLUSION

Most adverse events occurring following an ED visit are preventable and often relate to diagnostic or management errors.

Experience in adverse events detection in an emergency department: Nature of events

OBJECTIVE

The study was performed to determine the nature of adverse events in an ED.

METHODS

The methodology has been described in the accompanying paper. Two by two tables were analysed using the two-tailed Fisher's exact test. A P-value of < or =0.05 was considered significant. Statistical analysis was performed using MINITAB.

RESULTS

One hundred and ninety-four events were detected, from a sample of 3222 patients. Except where specified, events with management causation < or =3 were excluded. This excluded 24 events (12.4%) leaving 170 for analysis. Errors of commission occurred in 55% and omission in 45%. Errors of commission were significantly associated with prior events, errors of omission with ED events (P < or = 0.0001, respectively). The most common cause of events was drug reactions. 1.35% had a Naranjo score > or = 1, 0.54% > or = 4. Prior events were significantly associated with adverse drug reactions (P < or = 0.0001). Drug reactions were associated with a lower preventability score (P < or = 0.0001). Diagnostic issues were present in 1.2%. All three categories, that is diagnosis not considered, diagnosis within the differential and seriousness not appreciated were associated preventability > or =4 (P < or = 0.0001, P < or = 0.02 and P < or = 0.004, respectively). Diagnostic problems were significantly associated with ED events (P < or = 0.0001).

CONCLUSION

In conclusion, the data demonstrate that events fall into two sets: prior events which are associated with errors of commission, drug reactions and lower preventability; and ED events which are associated with errors of omission, diagnostic issues and high preventability.

Testing a classification model for emergency department errors

AIM

This paper presents an evaluation of the Eindhoven Classification Model for categorizing healthcare errors.

BACKGROUND

The ability to decrease healthcare errors will depend on an understanding of the types and patterns of error that occur in various settings. Research addressing the systematic classification of error is in its infancy.

METHODS

The sample for this study was two existing sets of healthcare error reports obtained from the emergency department of a regional trauma center. Study data were collected in the summer of 2001 and 2002. The errors in these reports were categorized using a coding tool based on the Eindhoven Classification Model. In addition to testing for inter-rater reliability, the classification model was also evaluated for the number of unclassifiable errors and of categories never selected by the raters (not useful to the error classification model).

RESULTS

Our findings of poor inter-rater reliability, large numbers of unclassifiable errors and categories not selected, suggest that the Eindhoven Classification Model, in its current form, cannot be applied to categorizing healthcare errors in an emergency department setting.

CONCLUSIONS

Further study is needed to develop and test error categorization models for use in emergency departments and other healthcare settings.

Missed and delayed diagnoses in the emergency department: a study of closed malpractice claims from 4 liability insurers

STUDY OBJECTIVES

Diagnostic errors in the emergency department (ED) are an important patient safety concern, but little is known about their cause. We identify types and causes of missed or delayed diagnoses in the ED.

METHODS

This is a review of 122 closed malpractice claims from 4 liability insurers in which patients had alleged a missed or delayed diagnosis in the ED. Trained physician reviewers examined the litigation files and the associated medical records to determine whether an adverse outcome because of a missed diagnosis had occurred, what breakdowns were involved in the missed diagnosis, and what factors contributed to it. Main outcome measures were missed diagnoses, process breakdowns, and contributing factors.

RESULTS

A total of 79 claims (65%) involved missed ED diagnoses that harmed patients. Forty-eight percent of these missed diagnoses were associated with serious harm, and 39% resulted in death. The leading breakdowns in the diagnostic process were failure to order an appropriate diagnostic test (58% of errors), failure to perform an adequate medical history or physical examination (42%), incorrect interpretation of a diagnostic test (37%), and failure to order an appropriate consultation (33%). The leading contributing factors to the missed diagnoses were cognitive factors (96%), patient-related factors (34%), lack of appropriate supervision (30%), inadequate handoffs (24%), and excessive workload (23%). The median numbers of process breakdowns and contributing factors per missed diagnosis were 2 and 3, respectively.

CONCLUSION

Missed diagnoses in the ED have a complex cause. They are typically the result of multiple breakdowns in the diagnostic process and several contributing factors.

Tracking workload in the emergency department

OBJECTIVE

The primary objective of this study was to create a methodology for measuring transient levels of physician workload in a live emergency department (ED) environment.

BACKGROUND

Characterizing, defining, and measuring aspects of this interrupt-driven work environment represent the preliminary steps in addressing impending issues concerning ED overcrowding, efficiency, and patient and provider safety.

METHODS

A time-motion task analysis was conducted. Twenty emergency medicine (EM) physicians were observed for 180-min intervals in an ED of an academic medical center. Near continuous workload measures were developed and used to track changing workload levels in time. These measures were taken from subjective, objective, and physiological perspectives. The NASA-Task Load Index was administered to each physician after observational sessions to measure subjective workload. Physiological measurements were taken throughout the duration of the observation to measure stress response. Additional information concerning physicians' patient quantity and patient complexity was extracted from the ED information system.

RESULTS

Graphical workload profiles were created by combining observational and subjective data with system state data. Methodologies behind the creation of workload profiles are discussed, the workload profiles are compared, and quantitative and qualitative analyses are conducted.

CONCLUSION

Using human factors methods to measure workload in a setting such as the ED proves to be challenging but has relevant application in improving the efficiency and safety of EM.

APPLICATION

Techniques implemented in this research are applicable in managing ED staff and real-time monitoring of physician workload.

Errors in a busy emergency department

STUDY OBJECTIVE

We describe errors occurring in a busy ED.

METHODS

This is a prospective, observational study of reported errors at an academic emergency department (ED) with 100000 annual visits. Trained personnel interviewed all ED staff with direct patient contact, during and at the end of every shift, by using standardized data sheets.

RESULTS

One thousand nine hundred thirty-five ED patients registered during the 7-day study period in the summer of 2001. Four hundred error reports were generated, identifying 346 nonduplicative errors (18 per 100 registered patients; 95% confidence interval [CI] 15.9 to 20.0). Forty percent of errors were reported by nurses, 25% by providers, 19% by clerical staff, 13% by technicians and orderlies, and 3% multiple reporters. Errors reported for every 100 hours worked were similar for all groups (5.5; 95% CI 5.2 to 5.9). Errors were categorized as 22% diagnostic studies, 16% administrative procedures, 16% pharmacotherapy, 13% documentation, 12% communication, 11% environmental, and 9% other. Patients involved in errors were more likely to be older (P <.0001) and more likely to have higher visit level intensity (P <.0001) than registered ED patients. Ninety-eight percent of errors did not have a significant adverse outcome. Seven errors (0.36 per 100 registered patients; 95% CI 0.14 to 0.72) were associated with an adverse outcome.

CONCLUSION

Reported errors occurred in almost every aspect of emergency care. Ninety-eight percent of errors in the ED do not result in adverse outcomes. System changes need to be implemented to reduce ED errors.