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Background: Emergency physicians (EPs) may disagree on when or whether patients need restraints. There is no good objective measure of the likelihood of EPs to restrain patients., Objectives: To 1) develop a scale to determine the likelihood that an EP would restrain a patient, 2) develop subscale scoring, and 3) determine a shortened version that correlates highly with the full scale., Methods: This was a prospective cross sectional study. The Video Assessment of Propensity to use Emergency Restraints Scale (VAPERS), consisting of 17 scenarios utilizing actors, was videotaped to produce a research video assessment tool. The VAPERS was designed by development experts to reflect the spectrum of patients who are considered for restraint in an emergency department. The VAPERS was piloted among a 22-member pilot panel of EPs (faculty and residents). The pilot panel was asked to determine the degree to which each video patient possessed the following patient characteristics: medical instability, trauma, belligerence, agitation, and altered mental status. Each "degree of characteristic" was measured on a separate 100-mm visual analog scale. Participants were then asked whether or not they would restrain each patient and whether the patient exhibited the potential to harm him- or herself or others. VAPERS subscales were developed for the likelihood to restrain patients with each of the patient characteristics. Spearman correlations were used for all comparisons. Linear regression was used to determine which patient characteristics were most related to likelihood to restrain and to develop a reduced scale to predict the overall likelihood to restrain., Results: The overall VAPERS score ranged from 0 to 100, with a median of 50 (interquartile range [IQR], 24-88). The visual analog scale results of how likely each video patient possessed specific characteristics were as follows: medical instability ranged from 0 to 100 (median, 32; IQR, 12-64), trauma ranged from 0 to 69 (median, 0; IQR, 0-31), belligerence ranged from 20 to 93 (median, 28; IQR, 14-63), agitation ranged from 3 to 84 (median, 52; IQR, 23-72), and altered mental status ranged from 1 to 93 (median, 29; IQR, 16-69). Linear regression indicated that two characteristic variables (danger to self and degree of agitation) in the video scenarios were highly correlated (0.87) with overall likelihood to restrain. Based on the results, the authors developed a shortened video assessment tool consisting of five of the original videos that were highly correlated (R = 0.94) with the full VAPERS scale on overall likelihood to restrain., Conclusions: The VAPERS scale covers a wide range of important variables in emergency situations. It successfully measured likelihood to restrain in this pilot study for overall situations, and for subgroups, based on patient characteristics. A shortened five-video VAPERS also successfully measured the overall likelihood to restrain.

Objectives: No single universal definition of emergency department (ED) overcrowding exists. The authors hypothesize that a previously developed site-sampling form for academic ED overcrowding is a valid model to quantify overcrowding in academic institutions and can be used to develop a validated short form that correlates with overcrowding., Methods: A 23-question site-sampling form was designed based on input from academic physicians at eight medical schools representative of academic EDs nationwide. A total of 336 site-samplings at eight academic medical centers were conducted at 42 computer-generated random times over a three-week period by independent observers at each site. These sampling times ranged from very slow to severely overcrowded. The outcome variable was the degree of overcrowding as assessed by the charge nurse and ED physicians. The full model consisted of objective data that were obtained by counting the number of patients, determining patients' waiting times, and obtaining information from registration, triage, and ancillary services. Specific objective data were indexed to site-specific demographics. The outcome and objective data were compared using a multiple linear regression to determine predictive validity of the full model. A five-question reduced model was calculated using a backward stepdown procedure. Predictive validity and relationships between the outcome and objective data were assessed using a mixed-effects linear regression model, treating center as random effect., Results: Overcrowding occurred 12% to 73% of the time (mean, 35%), with two hospitals being overcrowded more than 50% of the time. Comparison of objective and outcome data resulted in an R(2) of 0.49 (p < 0.001), indicating a good degree of predictive validity. A reduced five-question model predicted the full model with 88% accuracy., Conclusions: Overcrowding varied widely between academic centers during the study period. Results of a five-question reduced model are valid and accurate in predicting the degree of overcrowding in academic centers.

Background: The Americans With Disabilities Act (ADA) has been in effect since 1990. The present study shows response to this act for emergency medicine (EM) residents nationwide., Methods: A total of 121 surveys were mailed to the directors of American College of Graduate Medical Education (ACGME)-approved residency programs. A definition of disability was provided, and a second mailing was sent to those not replying., Results: Ninety-two program directors (76%) responded, representing 4,644 residents. Of these, 62 residents (1.3%) were reported as having a documented disability. Programs with a known disabled resident were significantly more likely to have available resources for assistance. Forty-seven (52%) of the program directors suspected a resident might have an undiagnosed disability, and 40 (85%) of these recommended testing or referral., Conclusions: There is a wide array of disabilities among EM residents. Available assistance varies. This may apply to other residencies as well.

Introduction: Many traumatic pneumothoraces (PTX) are not seen on initial chest radiograph (CR) (occult PTX) but are detected only on computed tomography (CT). Although CR remains the first tool for detecting PTX, most trauma patients with significant thoracoabdominal injuries will receive both CT and CR. The primary objective of this study was to retrospectively determine the effectiveness of CR for detecting PTX in trauma patients. Our hypotheses were that CR is a sensitive indicator of PTX on CT, that chest pain and shortness of breath are good predictors of PTX on CR, and that we could determine other predictors of PTX on CR.Methods: All trauma patients presenting to our Level I trauma center with a CT-diagnosed PTX over a 2-year period who had both a CR and a chest CT were included. The CT reading was considered the gold standard for PTX diagnosis. Electronic medical records were searched using key words for diagnoses, symptoms, demographics, and radiologic results. We recorded the official radiologist readings for both CR and CT (positive or negative) and the size of the PTX on CT (large, moderate, small, or tiny). The outcome variable was dichotomized based on presence or absence of PTX detected on CR. Descriptive statistics and v2 tests were used for univariate analysis. A regressionanalysis was performed to determine characteristics predictive of a PTX on CR, and 1 variable was added to the model for every 10 positive CRs. With equal-size groups, this study has the power of 80% to detect a 10% absolute difference in single predictors of PTX on CR with 45 subjects in each group.Results: There were 134 CT-documented PTXs included in the study. Mean age was 42, and 74% were men. For 66 (49%) patients, PTX was detected on CR (sensitivity¼50%). The CR detected 30% of small PTX, 35% of moderate PTX, and 33% of large PTX. Comparing patients with and without PTX on CR, there were no significant differences in shortness of breath or chest pain. There no relationships between PTX detected on CR and age, gender, penetrating versus blunt injury, bilaterality of the PTX, or presence of lung contusion or hemothorax on CT. After adjusting for all significant variables, predictor of a PTX detected on CR was air in the tissue on CR (adjusted odds ratio [OR]¼3.8) and PTX size (compared to a tiny PTX, adjusted OR¼2.0 for a small PTX, 7.5 for a moderate PTX, and 51 for a large PTX). Chest tubes were used in 89% of patients with PTX on CR and 44% of patients with PTX only on CT (difference 45%; 95% confidence interval 30, 58).Conclusion: Factors associated with PTX on CR included air in the soft tissue on CR and size of the PTX. Even when PTX is not apparent on CR, 44% of these PTXs received placement of a chest tube. [West J Emerg Med. 2012;13(5):437–443.]

Objectives: The primary aim of this study was to determine whether emergency department (ED) length of stay (LOS) or primary language was related to the degree of health literacy of patients.Methods: Adult English-speaking and Spanish-speaking patients were recruited for the study. Participants completed the Newest Vital Sign (NVS) tool (English and Spanish versions), a 6-question validated scale. Patients with NVS scores of 0 to 3 were considered to be at risk for limited health literacy, whereas those with adequate health literacy were defined as scoring a 4 to 6. After completion of their ED visit, a retrospective chart review was performed to identify the patient's ED LOS (time from registration to time of disposition) and ED disposition. In addition, 2 single-item questions were compared with the NVS for validity.Results: Participants included 250 English-speaking and 257 Spanish-speaking subjects. Per the NVS, 71% (359 of 507) of all patients had limited health literacy. By language group, significantly more Spanish-speaking than English-speaking patients had limited health literacy (93% vs 48%, diff 45%, 95% confidence interval 37-51). There was no significant difference in LOS between the limited health literacy group and adequate health literacy group (medians 440 vs 461 min). The 2 single-item questions had fair validity in comparison to the NVS scale (κ 0.2-0.3).Conclusions: There was a significant difference in health literacy based on language, with 93% of all Spanish-speaking patients in our sample having limited health literacy. We found no significant difference in ED LOS between patients with limited health and adequate health literacy in an academic urban ED setting. [ABSTRACT FROM AUTHOR]

Objectives: Inclusion of select orthopedic problems in the orthopedics observation unit (OOU) may reduce hospital admissions. Our system allows OOU status for 24 hours, but the effect on admissions is unknown. Our primary hypothesis was that we could predict which OOU patients required admission based on the presence of uncontrolled pain. Methods: Data were prospectively collected for all OOU patients in this prospective observational study, including data on extremity cellulitis, fractures, and spine injuries awaiting brace placement. The primary outcome variable was admission to the hospital versus discharge home. The a priori hypotheses were that patients with more persistent or worsening pain would require admission more often and that the OOU would result in fewer patients needing a costlier inpatient admission to the hospital. An a priori power analysis showed adequate power of 80% to detect a difference between admitted and discharged patients. Results: Data were prospectively collected from August 2011 to August 2012 for 199 consecutive OOU patients, 62% of whom were men. Diagnoses included infection (cellulitis or abscess of extremity) in 76%, fracture in 15% and other in 9% of the patients. Sixty-two patients (31%) were admitted and 7 patients (4%) made return visits for the same problem within a 30-day period. No significant relations existed between any of the independent variables and admission on bivariate analysis. Multivariable logistic regression found no significant predictors of hospital admission. Logistic regression was not performed on 30-day returns because of the low event rate (4%). Conclusions: An OOU prevented 138 of 199 (69%) patients from being admitted to a hospital. There were no significant predictors of which patients would require admission. Pain was not a predictor of need for admission. The lack of significant predictors is important in suggesting that without the ability to predict which patients require admission, a system using an OOU can reduce admissions by more than two-thirds. [ABSTRACT FROM AUTHOR]

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