The effect of emergency department crowding on analgesia in patients with back pain in two hospitals

Shared decision-making in the selection of outpatient analgesics for older individuals in the emergency department

OBJECTIVES

To assess the relationship between older adults' perceptions of shared decision-making in the selection of an analgesic to take at home for acute musculoskeletal pain and (1) patient satisfaction with the analgesic and (2) changes in pain scores at 1 week.

DESIGN

Cross-sectional study.

SETTING

Single academic emergency department.

PARTICIPANTS

Individuals aged 65 and older with acute musculoskeletal pain.

MEASUREMENTS

Two components of shared decision-making were assessed: information provided to the patient about the medication choice and patient participation in the selection of the analgesic. Optimal satisfaction with the analgesic was defined as being "a lot" satisfied. Pain scores were assessed in the ED and at 1 week using a 0-to-10 scale.

RESULTS

Of 159 individuals reached by telephone, 111 met all eligibility criteria and completed the survey. Fifty-two percent of participants reported receiving information about pain medication options, and 31% reported participating in analgesic selection. Participants who received information were more likely to report optimal satisfaction with the pain medication than those who did not (67% vs 34%; P < .001). Participants who participated in the decision were also more likely to report optimal satisfaction with the analgesic (71% vs 43%; P = .008) and had a greater average decrease in pain score (4.1 vs 2.9; P = .05). After adjusting for measured confounders, participants who reported receiving information remained more likely to report optimal satisfaction with the analgesic (63% vs 38%; P = .04).

CONCLUSION

Shared decision-making in analgesic selection for older adults with acute musculoskeletal pain may improve outcomes.

Interventions to mitigate emergency department and hospital crowding during an infectious respiratory disease outbreak: results from an expert panel

OBJECTIVE

To identify and prioritize potential Emergency Department (ED) and hospital-based interventions which could mitigate the impact of crowding during patient surge from a widespread infectious respiratory disease outbreak and determine potential data sources that may be useful for triggering decisions to implement these high priority interventions.

DESIGN

Expert panel utilizing Nominal Group Technique to identify and prioritize interventions, and in addition, determine appropriate "triggers" for implementation of the high priority interventions in the context of four different infectious respiratory disease scenarios that vary by patient volumes (high versus low) and illness severity (high versus low).

SETTING

One day in-person conference held November, 2011.

PARTICIPANTS

Regional and national experts representing the fields of public health, disease surveillance, clinical medicine, ED operations, and hospital operations.

MAIN OUTCOME MEASURE

Prioritized list of potential interventions to reduce ED and hospital crowding, respectively. In addition, we created a prioritized list of potential data sources which could be useful to trigger interventions.

RESULTS

High priority interventions to mitigate ED surge included standardizing admission and discharge criteria and instituting infection control measures. To mitigate hospital crowding, panelists prioritized mandatory vaccination and an algorithm for antiviral use. Data sources identified for triggering implementation of these interventions were most commonly ED and hospital utilization metrics.

CONCLUSIONS

We developed a prioritized list of potentially useful interventions to mitigate ED and hospital crowding in various outbreak scenarios. The data sources identified to "trigger" the implementation of these high priority interventions consist mainly of sources available at the local, institutional level.

Influenza forecasting with Google Flu Trends

BACKGROUND

We developed a practical influenza forecast model based on real-time, geographically focused, and easy to access data, designed to provide individual medical centers with advanced warning of the expected number of influenza cases, thus allowing for sufficient time to implement interventions. Secondly, we evaluated the effects of incorporating a real-time influenza surveillance system, Google Flu Trends, and meteorological and temporal information on forecast accuracy.

METHODS

Forecast models designed to predict one week in advance were developed from weekly counts of confirmed influenza cases over seven seasons (2004-2011) divided into seven training and out-of-sample verification sets. Forecasting procedures using classical Box-Jenkins, generalized linear models (GLM), and generalized linear autoregressive moving average (GARMA) methods were employed to develop the final model and assess the relative contribution of external variables such as, Google Flu Trends, meteorological data, and temporal information.

RESULTS

A GARMA(3,0) forecast model with Negative Binomial distribution integrating Google Flu Trends information provided the most accurate influenza case predictions. The model, on the average, predicts weekly influenza cases during 7 out-of-sample outbreaks within 7 cases for 83% of estimates. Google Flu Trend data was the only source of external information to provide statistically significant forecast improvements over the base model in four of the seven out-of-sample verification sets. Overall, the p-value of adding this external information to the model is 0.0005. The other exogenous variables did not yield a statistically significant improvement in any of the verification sets.

CONCLUSIONS

Integer-valued autoregression of influenza cases provides a strong base forecast model, which is enhanced by the addition of Google Flu Trends confirming the predictive capabilities of search query based syndromic surveillance. This accessible and flexible forecast model can be used by individual medical centers to provide advanced warning of future influenza cases.

Association of emergency department length of stay with safety-net status

CONTEXT

Performance measures, particularly pay for performance, may have unintended consequences for safety-net institutions caring for disproportionate shares of Medicaid or uninsured patients.

OBJECTIVE

To describe emergency department (ED) compliance with proposed length-of-stay measures for admissions (8 hours or 480 minutes) and discharges, transfers, and observations (4 hours or 240 minutes) by safety-net status.

DESIGN, SETTING, AND PARTICIPANTS

The 2008 National Hospital Ambulatory Medical Care Survey (NHAMCS) ED data were stratified by safety-net status (Centers for Disease Control and Prevention definition) and disposition (admission, discharge, observation, transfer). The 2008 NHAMCS is a national probability sample of 396 hospitals (90.2% unweighted response rate) and 34 134 patient records. Visits were excluded for patients younger than 18 years, missing length-of-stay data or dispositions of missing, other, left against medical advice, or dead on arrival. Median and 90th percentile ED lengths of stay were calculated for each disposition and admission/discharge subcategories (critical care, psychiatric, routine) stratified by safety-net status. Multivariable analyses determined associations with length-of-stay measure compliance.

MAIN OUTCOME MEASURES

Emergency Department length-of-stay measure compliance by disposition and safety-net status.

RESULTS

Of the 72.1% ED visits (N = 24 719) included in the analysis, 42.3% were to safety-net EDs and 57.7% were to non-safety-net EDs. The median length of stay for safety-net was 269 minutes (interquartile range [IQR], 178-397 minutes) for admission vs 281 minutes (IQR, 178-401 minutes) for non-safety-net EDs; 156 minutes (IQR, 95-239 minutes) for discharge vs 148 minutes (IQR, 88-238 minutes); 355 minutes (IQR, 221-675 minutes) for observations vs 298 minutes (IQR, 195-440 minutes); and 235 minutes (IQR, 155-378 minutes) for transfers vs 239 minutes (IQR, 142-368 minutes). Safety-net status was not independently associated with compliance with ED length-of-stay measures; the odds ratio was 0.83 for admissions (95% CI, 0.52-1.34); 1.03 for discharges (95% CI, 0.83-1.27); 1.05 for observations (95% CI, 0.57-1.95), 1.30 for transfers (95% CI, 0.70-2.45]); or subcategories except for psychiatric discharges (1.67, [95% CI, 1.02-2.74]).

CONCLUSION

Compliance with proposed ED length-of-stay measures for admissions, discharges, transfers, and observations did not differ significantly between safety-net and non-safety-net hospitals.

Interventions to improve patient-centered care during times of emergency department crowding

Patient-centered care is defined by the Institute of Medicine (IOM) as care that is responsive to individual patient needs and values and that guides treatment decisions. This article is the result of a breakout session of the 2011 Academic Emergency Medicine consensus conference "Interventions to Assure Quality in the Crowded Emergency Department" and focuses on three broad domains of patient-centered care: patient satisfaction, patient involvement, and care related to patient needs.The working group provided background information and an overview of interventions that have been conducted in the domains of patient satisfaction, patient involvement (patients' preferences and values in decision-making), and patient needs (e.g., comfort, information, education). Participants in the breakout session discussed interventions reported in the medical literature as well as initiated at their institutions, discussed the effect of crowding on patient-centered care, and prioritized, in a two-step voting process, five areas of focus for establishing a research agenda for studying patient-centered care during times of crowding. The research priorities for enhancing patient-centered care in all three domains during periods of crowding are discussed. These include assessing the effect of other quality domains on patient satisfaction and determining the effects of changes in ED operations on patient satisfaction; enhancing patient involvement by determining the effect of digital records and health information technology (HIT); rapid assessment areas with focused patient-provider communication; and meeting patients' needs through flexible staffing, use of HIT to enhance patient communication, discharge instructions, and postdischarge telephone calls.

The association between length of emergency department boarding and mortality

OBJECTIVES

Emergency department (ED) boarding has been associated with several negative patient-oriented outcomes, from worse satisfaction to higher inpatient mortality rates. The current study evaluates the association between length of ED boarding and outcomes. The authors expected that prolonged ED boarding of admitted patients would be associated with higher mortality rates and longer hospital lengths of stay (LOS).

METHODS

This was a retrospective cohort study set at a suburban academic ED with an annual ED census of 90,000 visits. Consecutive patients admitted to the hospital from the ED and discharged between October 2005 and September 2008 were included. An electronic medical record (EMR) system was used to extract patient demographics, ED disposition (discharge, admit to floor), ED and hospital LOS, and in-hospital mortality. Boarding was defined as ED LOS 2 hours or more after decision for admission. Descriptive statistics were used to evaluate the association between length of ED boarding and hospital LOS, subsequent transfer to an intensive care unit (ICU), and mortality controlling for comorbidities.

RESULTS

There were 41,256 admissions from the ED. Mortality generally increased with increasing boarding time, from 2.5% in patients boarded less than 2 hours to 4.5% in patients boarding 12 hours or more (p < 0.001). Mean hospital LOS also showed an increase with boarding time (p < 0.001), from 5.6 days (SD ± 11.4 days) for those who stayed in the ED for less than 2 hours to 8.7 days (SD ± 16.3 days) for those who boarded for more than 24 hours. The increases were still apparent after adjustment for comorbid conditions and other factors.

CONCLUSIONS

Hospital mortality and hospital LOS are associated with length of ED boarding.

Emergency department crowding and analgesic delay in pediatric sickle cell pain crises

OBJECTIVES

The objectives of the study were to test the impact of emergency department (ED) crowding and to identify factors associated with delay in analgesic administration in pediatric sickle cell pain crises.

METHODS

This was a cross-sectional study at a children's hospital ED. Data included demographics, clinical features, triage acuity, 10-level triage pain score, and arrival-to-analgesic-administration time. Emergency department census was the crowding measure assigned to each patient at arrival. Severe pain was a triage pain score of more than 7. Delays of more than 60 minutes from arrival to analgesic administration represented poor care. Logistic regression tested the effect of ED census on time to analgesic administration after adjusting for patient demographic and clinical characteristics.

RESULTS

From 243 encounters (161 patients), we excluded 11 visits (missing charts [n = 7], no pain at triage [n = 3], analgesic refusal [n = 1]). Final analysis involved 232 encounters (150 patients). Most were black with hemoglobin SS. Median age was 12 years. Mean ED census was 57. Median time from arrival to analgesic administration was 90 minutes. Analgesics were administered in less than 60 minutes in 70 encounters (30%). Most delays occurred after triage. Univariate analysis revealed that analgesic administration within 60 minutes of arrival was associated with severe pain at triage. After controlling for other factors, analgesic administration was significantly delayed during higher ED census and significantly earlier for young children and those with severe pain at triage. The time to analgesic administration from arrival significantly increased per increasing quartile of ED census (P = 0.0009).

CONCLUSION

Emergency department crowding is associated with delay in analgesic administration in pediatric patients with sickle cell pain crisis.

The effect of emergency department crowding on length of stay and medication treatment times in discharged patients with acute asthma

OBJECTIVES

This study sought to determine if emergency department (ED) crowding was associated with longer ED length of stay (LOS) and time to ordering medications (nebulizers and steroids) in patients treated and discharged with acute asthma and to study how delays in ordering may affect the relationship between ED crowding and ED LOS.

METHODS

A retrospective cohort study was performed in adult ED patients aged 18 years and older with a primary International Classification of Diseases, 9th Revision (ICD-9), diagnosis of asthma who were treated and discharged from two EDs from January 1, 2007, to January 1, 2009. Four validated measures of ED crowding (ED occupancy, waiting patients, admitted patients, and patient-hours) were assigned at the time of triage. The associations between the level of ED crowding and overall LOS and time to treatment orders were tested by analyzing trends across crowding quartiles, testing differences between the highest and lowest quartiles using Hodges-Lehmann distances, and using relative risk (RR) regression for multivariable analysis.

RESULTS

A total of 1,716 patients were discharged with asthma over the study period (932 at the academic site and 734 at the community site). LOS was longer at the academic site than the community site for asthma patients by 90 minutes (95% confidence interval [CI] = 79 to 101 minutes). All four measures of ED crowding were associated with longer LOS and time to treatment order at both sites (p < 0.001). At the highest level of ED occupancy, patients spent 75 minutes (95% CI = 58 to 93 minutes) longer in the ED compared to the lowest quartile of ED occupancy. In addition, comparing the highest and lowest quartiles of ED occupancy, time to nebulizer order was 6 minutes longer (95% CI = 1 to 13 minutes), and time to steroid order was 16 minutes longer (95% CI = 0 to 38 minutes). In the multivariable analysis, the association between ED crowding and LOS remained significant. Delays in nebulizer and steroid orders explained some, but not all, of the relationship between ED crowding and ED LOS.

CONCLUSIONS

Emergency department crowding is associated with longer ED LOS (by more than 1 hour) in patients who ultimately get discharged with asthma flares. Some but not all of longer LOS during crowded times is explained by delays in ordering asthma medications.