Improved hospital discharge and cost savings with esophageal cooling during left atrial ablation.

BACKGROUND: Left atrial ablation to obtain pulmonary vein isolation (PVI) for the treatment of atrial fibrillation (AF) is a technologically intensive procedure utilizing innovative and continually improving technology. Changes in the technology utilized for PVI can in turn lead to changes in procedure costs. Because of the proximity of the esophagus to the posterior wall of the left atrium, various technologies have been utilized to protect against thermal injury during ablation. The impact on hospital costs during PVI ablation from utilization of different technologies for esophageal protection during ablation has not previously been evaluated. OBJECTIVE: To compare the costs of active esophageal cooling to luminal esophageal temperature (LET) monitoring during left atrial ablation. METHODS: We performed a time-driven activity-based costing (TDABC) analysis to determine costs for PVI procedures. Published data and literature review were utilized to determine differences in procedure time and same-day discharge rates using different esophageal protection technologies and to determine the cost impacts of same-day discharge versus overnight hospitalization after PVI procedures. The total costs were then compared between cases using active esophageal cooling to those using LET monitoring. RESULTS: The effect of implementing active esophageal cooling was associated with up to a 24.7% reduction in mean total procedure time, and an 18% increase in same-day discharge rate. TDABC analysis identified a $681 reduction in procedure costs associated with the use of active esophageal cooling after including the cost of the esophageal cooling device. Factoring in the 18% increase in same-day discharge resulted in an increased cost savings of $2,135 per procedure. CONCLUSIONS: The use of active esophageal cooling is associated with significant cost-savings when compared to traditional LET monitoring, even after accounting for the additional cost of the cooling device. These savings originate from a per-patient procedural time savings and a per-population improvement in same-day discharge rate.

Further characterization of the influence of crowding on medication errors.

STUDY OBJECTIVES: Our prior analysis suggested that error frequency increases disproportionately with Emergency department (ED) crowding. To further characterize, we measured this association while controlling for the number of charts reviewed and the presence of ambulance diversion status. We hypothesized that errors would occur significantly more frequently as crowding increased, even after controlling for higher patient volumes. MATERIALS AND METHODS: We performed a prospective, observational study in a large, community hospital ED from May to October of 2009. Our ED has full-time pharmacists who review orders of patients to help identify errors prior to their causing harm. Research volunteers shadowed our ED pharmacists over discrete 4- hour time periods during their reviews of orders on patients in the ED. The total numbers of charts reviewed and errors identified were documented along with details for each error type, severity, and category. We then measured the correlation between error rate (number of errors divided by total number of charts reviewed) and ED occupancy rate while controlling for diversion status during the observational period. We estimated a sample size requirement of at least 45 errors identified to allow detection of an effect size of 0.6 based on our historical data. RESULTS: During 324 hours of surveillance, 1171 charts were reviewed and 87 errors were identified. Median error rate per 4-hour block was 5.8% of charts reviewed (IQR 0-13). No significant change was seen with ED occupancy rate (Spearman's rho = -.08, P = .49). Median error rate during times on ambulance diversion was almost twice as large (11%, IQR 0-17), but this rate did not reach statistical significance in univariate or multivariate analysis. CONCLUSIONS: Error frequency appears to remain relatively constant across the range of crowding in our ED when controlling for patient volume via the quantity of orders reviewed. Error quantity therefore increases with crowding, but not at a rate greater than the expected baseline error rate that occurs in uncrowded conditions. These findings suggest that crowding will increase error quantity in a linear fashion.

A public-private partnership develops and externally validates a 30-day hospital readmission risk prediction model.

INTRODUCTION: Preventing the occurrence of hospital readmissions is needed to improve quality of care and foster population health across the care continuum. Hospitals are being held accountable for improving transitions of care to avert unnecessary readmissions. Advocate Health Care in Chicago and Cerner (ACC) collaborated to develop all-cause, 30-day hospital readmission risk prediction models to identify patients that need interventional resources. Ideally, prediction models should encompass several qualities: they should have high predictive ability; use reliable and clinically relevant data; use vigorous performance metrics to assess the models; be validated in populations where they are applied; and be scalable in heterogeneous populations. However, a systematic review of prediction models for hospital readmission risk determined that most performed poorly (average C-statistic of 0.66) and efforts to improve their performance are needed for widespread usage. METHODS: The ACC team incorporated electronic health record data, utilized a mixed-method approach to evaluate risk factors, and externally validated their prediction models for generalizability. Inclusion and exclusion criteria were applied on the patient cohort and then split for derivation and internal validation. Stepwise logistic regression was performed to develop two predictive models: one for admission and one for discharge. The prediction models were assessed for discrimination ability, calibration, overall performance, and then externally validated. RESULTS: The ACC Admission and Discharge Models demonstrated modest discrimination ability during derivation, internal and external validation post-recalibration (C-statistic of 0.76 and 0.78, respectively), and reasonable model fit during external validation for utility in heterogeneous populations. CONCLUSIONS: The ACC Admission and Discharge Models embody the design qualities of ideal prediction models. The ACC plans to continue its partnership to further improve and develop valuable clinical models.

Automated dispensing cabinet alert improves compliance with obtaining blood cultures before antibiotic administration for patients admitted with pneumonia.

BACKGROUND: A Centers for Medicare & Medicaid Services (CMS) pneumonia quality measures with particular impact on the emergency department (ED) is blood cultures prior to antibiotic administration for patients admitted with pneumonia. A study was conducted to measure the impact of an automated dispensing cabinet (ADC) alert on improving compliance with the quality measure of obtaining blood cultures prior to giving antibiotics for patients admitted with pneumonia and who have blood cultures ordered. METHODS: The pre-post study involved ED adult patient with an admitting diagnosis of pneumonia from October 2007 through September 2008. The intervention consisted of a series of questions in the ED medication ADC regarding blood culture orders and antibiotic administration. Patients with an admitting diagnosis of pneumonia were identified through a search of the ED electronic health record (EHR). The proportion of patients in whom blood cultures were obtained prior to antibiotic administration in the pre- (October 2007-March 2008) and postintervention (April 2008-September 2008) periods were compared. The chi-square test was used to test for statistical significance. RESULTS: Some 951 patients with pneumonia were identified during the study period, 426 pre- and 525 postintervention. Compliance with obtaining blood cultures prior to antibiotic administration was 84% (205/245, 95% confidence interval [CI]: 79%-88%) and 95% (275/291, 95% CI: 92%-97%) in the pre and postintervention periods, respectively (p <. 001). CONCLUSIONS: In this population of patients with pneumonia, a series of questions in an ADC improved compliance with the quality measure regarding the obtaining of blood cultures prior to administering antibiotics to patients in whom blood cultures are requested.

Diagnosis of pneumonia in the ED has poor accuracy despite diagnostic uncertainty.

BACKGROUND: In 2007, the Centers for Medicare and Medicaid Services created a measure known as "diagnostic uncertainty" in emergency department (ED) pneumonia admissions. This documentation excludes the antibiotic timing measure, as pressure to quickly diagnose pneumonia may serve to reduce overall accuracy. STUDY OBJECTIVES: The objective of the study was to determine the correlation between ED and final discharge diagnosis of pneumonia and measure the effect of invoking the diagnostic uncertainty documentation on accuracy. METHODS: We retrospectively reviewed all ED pneumonia admissions among adults from July to October 2008. We analyzed the effect of invoking the diagnostic uncertainty documentation in the ED by comparing against final outcomes. We then performed a multivariate analysis to adjust for the potential effects of sex, age, Emergency Severity Index (ESI) score, weekend arrival, and level of ED-attending physician staffing. RESULTS: Of 401 patients who were admitted with pneumonia, 297 (74%) had a discharge diagnosis of pneumonia, with 72 (18%) of those diagnoses being the primary outcome. Diagnostic uncertainty documentation was used in 11% (45/401). This documentation did not significantly alter the odds of a primary pneumonia discharge diagnosis (odds ratio, 0.68; 95% confidence interval, 0.28-1.7) but did reduce the odds of pneumonia being diagnosed (odds ratio, 0.43; 95% confidence interval, 0.23-0.81). Sex, age, day of week, and (ESI) score remained nonsignificant predictors. CONCLUSIONS: Correlation between ED and discharge diagnosis of pneumonia was limited. Use of diagnostic uncertainty documentation decreased the likelihood of a hospital discharge diagnosis of pneumonia. Further analysis of the effects of artificially imposed time constraints on ED diagnoses appears warranted.

ED crowding is associated with an increased time to pneumonia treatment.

OBJECTIVE: We measured the correlation between emergency department (ED) occupancy rate and time to antibiotic administration for patients with pneumonia treated in a community hospital setting. METHODS: We reviewed quality improvement data on patients treated for pneumonia in our ED and admitted over a 5-month period. The outcomes were timeliness of antibiotic therapy (within 4 hours of arrival) and overall time to antibiotic administration. Emergency department crowding was measured as the ED occupancy rate. We calculated (1) the Spearman correlation between occupancy rate at time of patient presentation and the time to antibiotic administration, (2) the odds ratio of receiving antibiotics within 4 hours with increasing ED occupancy, and (3) the ability of the occupancy rate to predict failure of achieving the 4-hour goal with the receiver operating characteristic curve. RESULTS: A total of 334 patients were treated over the study period, of which 262 had complete data available. Occupancy rate ranged from 20% to 245%, and median was 137%. Eighty-one percent received antibiotics within 4 hours; the median time was 150 minutes. Time to antibiotics showed a positive correlation with occupancy rate (Spearman ρ = 0.17, P = .008). An increasing ED occupancy rate was associated with decreased odds of receiving antibiotics within 4 hours (odds ratio, 0.31; 95% confidence interval, 0.13-0.75). Receiver operating characteristic curve area was 0.62 (95% confidence interval, 0.54-0.70; P = .009). CONCLUSION: Emergency department occupancy rate was associated with increased time to antibiotic treatment for patients admitted with pneumonia. Occupancy rate had fair success in predicting failure of treatment within 4 hours.

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.

High-risk chief complaints III: abdomen and extremities.

Abdominal and extremity complaints are a frequent reason for presentation to the emergency department. Although these are common complaints, several abdominal and extremity disease entities may be missed or may be subject to delayed diagnosis. This article provides an overview of the diagnosis and management of several high-risk abdominal and extremity complaints, including appendicitis, abdominal aortic aneurysm, mesenteric ischemia, bowel obstruction, retained foreign body, hand and finger lacerations, fractures, and compartment syndrome. Each section focuses primarily on the pitfalls in diagnosis by highlighting the limitations of history, physical examination findings, and diagnostic testing and provides specific risk management strategies.

Pay for performance in emergency medicine.

One of the latest market-based solutions to the rising costs and quality gaps in health care is pay for performance. Pay for performance is the use of financial incentives to promote the delivery of designated standards of care. Pay for performance represents a dramatic change in the reimbursement of providers, from fixed rates or fees, to variable compensation based on the quality of care. This article serves as an introduction to pay for performance. I discuss the goals and structure of pay for performance plans and their limitations and potential consequences in the health care arena. A particular focus is provided on pay-for-performance initiatives affecting the emergency department either directly by contracting at the group level or indirectly through hospital reward programs. I also provide a strategy to guide constructive engagement by emergency physicians in the pay-for-performance movement.

Resuscitation of the elderly.

The changing demographics of America's population over the past couple of decades have propelled geriatric medicine into the fore-front. Due to this, emergency medicine physicians will face numerous challenges managing an increasing number of critically ill elderly patients. This article will focus on success of resuscitation in this population, important pathophysiologic changes that occur with aging, as well as ethical considerations in end-of-life care.

Bench to bedside: Pharmacogenomics, adverse drug interactions, and the cytochrome P450 system.

As physicians attempt to improve the quality of health care, one area of particular concern has been preventable medical errors from adverse drug interactions. The cytochrome P450 family of enzymes has been implicated in a large number of these preventable, adverse drug interactions. This report reviews the basic biochemistry and pharmacogenomics underlying the reactions catalyzed by the cytochrome P450 family of enzymes. An emphasis is placed on the phenotypic variations within a population and the resulting clinical effects. In addition, six members of the cytochrome P450 superfamily that are responsible for the metabolism of the majority of pharmaceutical agents are profiled in detail. These enzymes, CYP3A4, CYP2D6, CYP2C9, CYP2C19, CYP2E1, and CYP1A2, are reviewed with regard to their phenotypic variation in the population and the resulting clinical and therapeutic implications.

Estimating medication persistency using administrative claims data.

OBJECTIVES: To review the definitions and methods for measuring medication persistency, and to propose a uniform definition of and calculation for persistency using pharmacy claims data. STUDY DESIGN: Literature review. METHODS: A MEDLINE search (1966 to present) was performed to identify articles detailing a definition or method of persistency measurement based on automated pharmacy data. Articles were screened for relevance by title and abstract. References from identified articles were used to expand the search results. RESULTS: The concept behind medication persistency measurement is to capture the amount of time that an individual remains on chronic drug therapy. The methods to calculate medication persistency can be classified into 1 of 3 categories: (1) Persistency as a function of the medication possession ratio; (2) persistency as a function of medication availability at a fixed point in time; and (3) persistency as a function of the gaps between refills. CONCLUSIONS: The common goal of all persistency measures should be to reflect the continuity of medication usage and to capture the timeliness and the frequency of refilling. The measurement of persistency as a function of the gaps between refills provides the best assessment of refill compliance across a variety of medication and disease states and lends itself to the well-established measurements of survival analysis.

Unsuspected internal organ traumatic injuries.

Emergency medicine physicians can avoid missed traumatic intra-abdominal injury by adopting a paradigm for patient evaluation that recognizes the patterns of injury associated with pathology, the importance of positive and negative physical findings, and the limitations of diagnostic studies. The burden of avoiding missed traumatic injuries does not rest with emergency medicine physicians alone, however. A missed diagnosis may be the result of a medical error involving multiple systems and individuals.Ultimately, decreasing the incidence of missed traumatic injury is an opportunity for quality improvement for all practitioners involved in the care of patients with trauma.

Analysis of occupational exposures associated with emergency department thoracotomy.

BACKGROUND: Although previous studies have examined the cost effectiveness of emergency department thoracotomy (EDT), provider risk has not been included in these analyses. This study examined the costs associated with provider exposure to human immunodeficiency virus (HIV) and hepatitis from percutaneous injury during EDT. METHODS: A decision tree describing the occupational risks and costs associated with EDT was created. Exposed providers undergo initial counseling, evaluation, and HIV postexposure prophylaxis and treatment as recommended by the Centers for Disease Control. Costs are reported from a health care system perspective in year-2000 dollars. The following prevalences were assumed: HIV (7.1%), hepatitis C (18%), and provider percutaneous injury rate (10%). Sensitivity analyses were performed by varying the prevalence of disease and the probability of seroconversion. RESULTS: According to the authors' model assumptions, the probability is 0.00004 for HIV and 0.0027 for chronic hepatitis C seroconversion. The total additional cost per thoracotomy associated with an exposure is dollars 1,377. CONCLUSIONS: Emergency department thoracotomy is associated with important provider medical risks. Future analyses of EDT should include these factors in reports on the value of this procedure.