Assessing the Prevalence and Predictors of Bullying Among Emergency Medical Service Providers.

Background: Bullying as a stressor in the workplace has been evaluated in numerous settings. It has never been evaluated in the emergency medical service (EMS) environment where bullying can occur from many different sources. The Negative Acts Questionnaire-Revised (NAQ-R) is a 22-question validated tool for evaluating bullying. Our hypothesis was that we could identify a shortened version of the NAQ-R that identifies bullying as accurately as the full screening tool. Methods: This was a cross sectional study of EMS providers in our local EMS transport agency. The local EMS agency transports approximately 50,000 patients per year and is a paramedic level response system. Results on the NAQ-R were on a 5-point Likert scale for each of 22 different categories of bullying that were summed by adding each questions 1-5 response for the 22 questions. Respondents were also categorized as victims or non-victims of bullying based on being positive for any of the 22 types of bullying at least once a week. We performed a binomial decision tree analysis and a cross-validation. Results: Data were collected from 153 providers. Mean age was 33 ± 10 years and 50% were male. Total years in EMS were 8 ± 8 years. NAQ-R summed results in our group ranged between 22 and 88, with an average of 40 ± 15. A NAQ-R score of 33 or less was 91% accurate in identifying non-victims and a score of 45 or more was 94% accurate in identifying victims. The majority at 51% (77/152) of respondents were victims of one or more types of bullying. A combination of five questions was 94% accurate in identifying a victim of bullying among EMS providers. Cross validation resulted in a misclassification risk estimate of 0.12 ± .03. Conclusion: NAQ-R bullying scores in EMS are similar or higher than numbers in other fields. Five questions on the NAQ-R were 94% accurate in identifying victims of bullying in EMS providers.

Thyroid stimulating hormone testing in ED evaluation of patients with atrial fibrillation and various psychiatric diagnoses.

BACKGROUND: Previous studies of thyroid stimulating hormone (TSH) levels in Emergency Department (ED) patients largely have centered on patients with atrial fibrillation (AF). In our ED patients with AF as well as patients with Psychiatric diagnoses (psych) are screened. The purpose of the present study was to compare TSH levels in the 2 groups. Our hypotheses were that an abnormal TSH and/or AF predicted the need for hospital admission and that TSH is more likely decreased in AF and increased in psych patients. METHODS: Our goal in the study was to compare the use of TSH testing in two ED populations, AF vs. psych patients. The study was a cross sectional cohort of AF vs. psych patients who had TSH levels drawn in the ED over a two year period. Our laboratory ranges were used to determine high vs. low TSH. Two chart examiners collected data after a training process. Charts were reviewed extracting demographic data, TSH levels, outcome (admit vs. discharge), history of AF, thyroid disease, psych diagnoses, presence of CHF, diabetes, hypertension. We compared AF vs. Psych groups using chi square and t-tests for parametric data. Odds ratios were calculated for comparisons between the 2 groups. For non-parametric data Mann Whitney U was used. A logistic regression was performed with the outcome of admission vs. discharge to find predictors of hospital admission. Kappa was calculated for inter-rater agreement. An a priori power analysis showed 80% power with 2 groups of 100 with an absolute difference of 20% between the 2 groups. RESULTS: 252 patients were included, 101 with AF and 152 Psych. Demographics differed in age only with AF patients being older. Mean TSH for AF vs. 2.4 for AF, 2.9 for psych (NS) with no differences in percentages with high or low TSH in the 2 groups. Fifty-three patients had abnormal TSH levels (21%), 27% of AF and 17% of Psych patients (NS). There were significant differences in incidence of CHF, DM, HTN, and tachycardia with more in the AF group (P < 0.001). Significantly more of the psych patients had a history of hypothyroidism (OR 2.28). Our logistic regression showed that taking into account demographics including age, the only predictors of admission were the presence of CHF (aOR 18.6) and having a diagnosis of AF (aOR 4.0). CONCLUSION: There were no differences in TSH levels between the 2 groups. Twenty-one percent had an abnormal level. CHF and AF predicted hospital admission on regression analysis. Many with these AF or Psych diagnoses had abnormal ED TSH levels that could be useful in diagnosis, maintenance, or continuous treatment for their conditions diagnoses.

Bathing Habits in Emergency Department Patients with Cellulitis or Abscess Versus Controls.

OBJECTIVE: Cellulitis is a leading cause of emergency department (ED) visits, with more than 200 cases per 100,000 people per year. Although many risk factors have been identified, including edema, skin breakdown, and penetrance of the skin, there are few data available on whether personal hygiene habits (bathing and clean clothes) are associated with increased risk for soft tissue infection. Studies looking at chlorhexidine baths in the intensive care unit to prevent soft tissue infections have shown conflicting and limited efficacy. Our objective was to determine whether poor personal hygiene, as manifested in poor bathing habits, a lack of access to clean clothes, or frequent needle self-injections, are associated with cellulitis or abscesses. METHODS: The research is a cross-sectional cohort study of patients with either cellulitis, soft tissue abscess, or both (cases) versus a control group of patients with abdominal pain without prior surgeries in a large, urban ED in a convenience sampling. We asked about bathing habits, access to clean clothing, and skin breaks from intravenous (IV) drug use as risk factors. The two groups were compared using descriptive statistics, and a regression analysis was performed to determine the characteristics that are predictive of soft tissue infections. The study was powered at 0.8 to detect a 20% difference in adequate bathing habits with 100 per group. RESULTS: In an approximate 1-year study period, 108 cases were identified and compared with 104 abdominal pain controls selected at random from patients presenting to the same ED. In the cellulitis/abscess group the mean age was 47 and 81% were men, and in the control group the mean age was 45 and 39% were men. There were significantly more men in the cellulitis/abscess group (Diff 22%, 95% confidence interval [CI] 8-34, P < 0.01). Seventy percent (76 of 108) of cases versus 58% (80 of 104) of controls bathed daily (odds ratio [OR] 1.7, 95% CI 0.98-3.1, not significant). There was a significant difference between the two groups in laundry habits: 66% (71 of 108) of cases versus 42% (44 of 104) of controls did not have access to clean laundry daily (adjusted OR [AOR] 2.5, 95% CI 1.4-5.0, P < 0.01). The most profound and significant difference was noted between cases and controls regarding the use of IV drugs, in which 20 of 108 cases (19%) used IV drugs versus 3 of 104 controls (3%, P < 0.01). Finally, 35 of 108 (32%) of our cases had a history of infections, whereas only 5 of 104 (5%) of the controls had cellulitis or an abscess previously (P < 0.01). On regression analysis significant predictors of soft tissue infection were history of skin infection (AOR 7.0) and not cleaning clothes daily (AOR 2.5). CONCLUSIONS: There was no significant difference in bathing habits, but there was a significant difference in laundry habits between the case and control groups. Our study further confirms that IV drug use is a risk factor for cellulitis and no access to clean clothes daily was significantly related to the development of cellulitis. Failing to obtain daily showers was not associated with an increase in infection.

A Comparison of QTc Intervals in Alcohol Withdrawal Patients Versus Acute Coronary Syndrome Patients.

OBJECTIVES: Patients with an alcohol use disorder experiencing acute intoxication or withdrawal may be at risk for electrocardiograph (ECG) abnormalities, including prolongation of repolarization (long QTc [corrected QT]) that may contribute to arrhythmias and may be associated with a threefold increase in the likelihood of sudden cardiac events. Patients with acute coronary syndrome may have prolonged QTc as well. To our knowledge, no previous studies have compared the QTc of ACS with acute ethanol (EtOH) withdrawal syndromes in the emergency department (ED). The purpose of our study was to compare the QTc of those with EtOH withdrawal emergencies with patients with ACS in our ED. Our hypothesis was that the QTc would be similarly prolonged in the two cohorts. METHODS: The study compared two cohort groups, those with ACS and those with EtOH withdrawal-related ED visits over a 1-year period. We compared ECG QTc, cardiac medication use, and electrolyte differences. We considered a QTc of >450 ms elevated for men and >470 ms elevated for women based on the literature. Fifty subjects in whom an ECG, serum osmolality, and EtOH level were recorded within 2 hours of one another and who were administered a Clinical Institute Withdrawal Assessment protocol were compared with 203 patients with ACS during the same period. We excluded patients with incomplete data. Medications compared included clopidogrel, acetylsalicylic acid, ß-blockers, angiotensin-converting enzyme inhibitors, and statins. ECG QT and QTc, as well as electrolytes, were recorded and compared. Data were extracted by two investigators with a 20% sample re-evaluated by the other extractor as a reliability measure. Descriptive statistics including medians and interquartile ranges were measured for continuous variables. Comparisons were made using two-tailed t tests for parametric data and the Mann-Whitney U test for nonparametric data. RESULTS: Agreement in the 20% sampling between investigators was high (96%). The mean QTc in the ACS group was 457 ms and the mean QTc in the EtOH withdrawal-related group was 468 ms (diff 11, not significant). Significantly more patients had a prolonged QTc in the EtOH withdrawal group than in the ACS group 62% vs 46%; diff 16; 95% CI (0.1, 30). There was significantly more use of clopidogrel, acetylsalicylic acid, angiotensin-converting enzyme inhibitors, and statins (P < 0.05 for all) in the ACS group compared with the EtOH withdrawal group; however, there was no difference in ß-blocker usage. There was a significantly higher admission rate: 100% of ACS compared with 76% of the EtOH withdrawal group (P < 0.01, diff 24, 95% confidence interval 18-29). Electrolytes were not significantly different in the two groups. CONCLUSIONS: More patients with EtOH withdrawal-related ED visits had a long QTc than patients presenting with ACS. ED physicians should carefully monitor patients experiencing EtOH withdrawal for cardiac arrhythmias and obtain an ECG. If any medications that prolong the QTc are considered, then an ECG should be obtained before administering medications that may affect the myocardium to make medication safer for the patient.

Comparison of QTc and Troponin Levels in ST Elevation MIs Compared with Non-ST Elevation MIs.

OBJECTIVES: ST elevation myocardial infarctions (STEMIs) and non-ST elevation myocardial infarctions (NSTEMIs) have differences that can be important to differentiate. Our primary hypothesis was that corrected QT (QTc) duration and troponin I levels were higher in STEMIs compared with NSTEMIs. The objective of our study was to compare STEMIs with NSTEMIs for QTc duration and troponin levels. METHODS: This was a retrospective case-control study of all STEMIs and a random sample of NSTEMIs during a 1-year period. STEMIs were retrieved by searching our electrocardiogram database for all of the cardiology-diagnosed STEMIs. NSTEMIs were found by selecting a randomized sample of all of the patients with a final discharge diagnosis of NSTEMI. Records and electrocardiograms were reviewed for initial troponin I levels and QTc duration. Data extractors were educated formally and a 5% sample was reevaluated by the other extractor as a reliability measure. Data analysis included χ2 tests and parametric or nonparametric analysis, where appropriate. A logistic regression model was created with variables selected a priori for predictors of STEMIs compared with NSTEMIs. RESULTS: A total of 92 STEMIs and 111 NSTEMIs were evaluated, and interrater reliability showed 90% agreement. Patients with NSTEMIs had significantly longer QTc. Troponin I did not differ on univariate analysis. In a logistic model, Hispanics were more likely than whites to have a STEMI (adjusted odds ratio [AOR] 2.2, 95% confidence interval [CI] 1.09-4.5). An increase in troponin I of 1 was associated with a 7% increase in the AOR of a STEMI (AOR 1.7, 95% CI 1.03-1.12) and an increase in QTc by 10 was associated with a 13% decrease in the AOR of a STEMI (AOR 0.87, 95% CI 0.78-0.93). CONCLUSIONS: Patients with NSTEMIs had longer QTc intervals and lower troponin I levels than those with STEMIs.

The meaning of elevated troponin I levels: not always acute coronary syndromes.

BACKGROUND: Troponin elevation can be caused by etiologies other than acute coronary syndromes (ACS). Our hypothesis was that elevated troponins occur more frequently in non-ACS cases but that ACS cases (type 1 ST-elevation myocardial infarction [STEMI] and type 1 non-STEMI [NSTEMI]) have significantly higher troponin elevations. METHODS: This was a cross-sectional cohort analysis of a random subset of all patients with elevated troponins (defined as ≥0.06 ng/mL) over a 1-year period from July 2013 to June 2014. The first positive troponin I and the peak were used in this study. All included patients had medical record reviews looking for whether our cardiologists or hospitalists attributed the elevated troponin to an ACS (NSTEMI or STEMI) or non-ACS cause. Non-ACS causes were categorized as infection, cancer, renal diseases, cardiovascular disease, pulmonary disease, trauma, cardiac arrest, neurologic disease, hypertension, or other. Data were extracted by 2 investigators on the cause of the elevated troponin. Three sessions to educate data extractors were arranged and methods of data extraction discussed, then a 5% sample was reevaluated by the other extractor to determine interrater agreement measures. Parametric data were evaluated with t test and analysis of variance. Dichotomous variables were compared using χ(2) test. Troponin data were evaluated using nonparametric Kruskal-Wallis or Mann-Whitney U. A logistic regression model was created with variables selected a priori to evaluate the predictive ability of these variables in differentiating ACS vs non-ACS causes of elevated troponin. RESULTS: We evaluated 458 randomly selected patients from 1317 unique cases of all patients with initial elevated troponins at least 0.06 mg/mL during the study period. There was 84% interrater agreement in the 5% sampling. Seventy-nine percent had a non-ACS cause of elevated troponin, and the average initial positive troponin I level was significantly lower in the non-ACS cases (0.14; 95% confidence interval [CI], 0.08-0.37) than those with documented STEMI (10.2; 95% CI, 0.75-20.1) or NSTEMIs (0.4; 95% CI, 0.13-1.7). In the non-ACS group, the median initial troponin was 0.14 ng/mL (0.08-0.37 ng/mL). Peak troponin levels were highest in STEMI, next NSTEMI, and lowest in non ACS causes. The most frequent subgroups in the non-ACS group were non-ACS cardiovascular, infectious, renal, or hypertensive causes. In a linear regression model adjusting for age and sex, higher troponin levels had higher odds of being related to ACS causes (adjusted odds ratio, 1.4; 95% CI, 1.2-1.6) than non-ACS causes. CONCLUSION: The etiology for most initial elevated troponin I levels in a randomly selected population is the result of non-ACS causes. As initial + troponin levels increased, they were more likely associated with ACS causes than with non-ACS causes. Average initial + and peak troponin values were highest in STEMIs, next highest in NSTEMIs, and lowest overall in non-ACS causes.

Disparity in Patients' Self-Reported and Charted Medication Allergy Information.

OBJECTIVES: The objective of this study was to compare current adverse drug/allergy reaction reporting in patient electronic medical records/charts against information gathered during patient interviews in the emergency department. Our hypothesis was that current methods for allergy reporting results in significant discrepancy between what is documented and the actual allergy history upon interviewing the patient. METHODS: The study was conducted between December 2011 and April 2012 in an academic emergency department. This was a convenience sample study comparing a prospective patient interview with previously documented allergy histories. Demographics for sex, age, and race were recorded. Patients to be interviewed were adults with at least one documented allergy in their chart. Descriptive statistics and percentages were used for demographic and prevalence data. Agreement between interviews and charts was assessed for both the reaction type and the reaction descriptor. RESULTS: There were 101 patients interviewed during this 4-month period, and a total of 235 adverse drug reactions were recorded. There were 66 women and 35 men included in this study. The mean age was 51 ± 17 years. The median number of allergy instances for women was 2 (interquartile range 1-3) and for men the median number of allergy instances was 1 (interquartile range 1-2). The percentage of agreements for overall allergies was 85% and 50% for the type of reaction. Total profile agreement occurred in nine patients. CONCLUSIONS: The percentage of agreement between interviews and charting for reaction type was 50%. Even with the use of electronic medical records, better methods are needed to properly record allergies to ensure patient safety and care.

Acute sigmoid diverticulitis within a nonincarcerated hernia.

Separately, diverticulitis and inguinal hernias are both common findings in emergency medicine. However, diverticulitis within a reducible hernia has not been previously reported.We present a case of sigmoid diverticulitis within a non incarcerated easily reducible hernia treated with conservative management. Our review of literature did not reveal any previously documented cases of this type of presentation.

Emergency department orthopedics observation unit as an alternative to admission.

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.

Evaluating community ED crowding: the Community ED Overcrowding Scale study.

OBJECTIVES: The goals of this study were to (1) identify valid variables that correlate with emergency department (ED) crowding and (2) determine a model that could be used to accurately reflect the degree of ED crowding. METHODS: A site sampling form was applied to convenience sampling of 13 community hospitals in California between April 6, 2011, and May 1, 2011. The outcome variable was average perception of crowding by the ED physician and charge nurse on a 100-mm visual analog scale. We focused on 20 candidate predictor variables that represented counts and times in the ED that were collected every 4 hours. A prediction model was developed using multivariable linear regression to determine the measures that predicted ED crowding. A parsimonious model was developed to allow for a clinical useful tool that that explained a significant amount of variability predicted by the full ED crowding model. RESULTS: A total of 2006 data sets were collected for each of the participating hospitals. A total of 1628 time entries for the hospitals were included in the study. Hospital EDs had censuses ranging from 18 000 to 98 000. Full evaluation was completed on 1489 data sets. Twenty variables were considered for the full model with 7 removed due to multicollinearity. The remaining 13 variables constituted the full model and explained 50.5% of the variability in the outcome variable. Five predictors were found to represent 92% of the variability represented by the full model. CONCLUSIONS: Five variables were highly correlated with community ED crowding and could be used to model the full set of all variables in explaining ED crowding.

No difference in emergency department length of stay for patients with limited proficiency in English.

OBJECTIVES: The population of the United States continues to diversify, with an increasing percentage of individuals who have limited English proficiency (LEP). A major concern facing emergency departments (EDs) around the country is increasing length of stay (LOS). Although multiple studies have shown racial and ethnic disparities in waiting time and LOS, no studies have examined specifically whether patients with LEP have a different LOS than English-speaking (ES) patients. In addition, no studies have examined whether the use of interpreters by patients with LEP has a significant impact on LOS. We hypothesized that there was a significant difference in LOS when comparing patients with LEP and ES patients and patients with LEP who used interpreters versus patients with LEP who did not. METHODS: This was a prospective cohort study with LOS data collected from a level I ED patient tracking software program from October 2011 to December 2011. The primary language preferred by the patient was indicated at the time of triage and registration and the patient's use of an interpreter also was recorded. The patient's demographic data, ED visit information, and LOS were prospectively entered into an Excel spreadsheet. Percentages were compared using 95% confidence intervals and LOS was analyzed using the Student t test. With >100 subjects per group, our study had 80% power (ie, a power of 0.8) to determine a 15% difference in proportions between groups or a difference of 120 minutes (assuming a standard deviation of 300 minutes on both means). RESULTS: Data were collected from a total of 121 ES patients and 124 patients with LEP. In the LEP group were the languages of Spanish, Navajo, Vietnamese, Chinese, Arabic, and American Sign Language. Fifty-eight percent of patients with LEP used an interpreter. There were no differences between ES patients and patients with LEP in age, sex, mode of arrival, chief complaints, acuity, percentage admitted, percentage pediatric patients, or percentage of Medicaid/Medicare recipients. More patients with LEP were self-pay (36% vs 20%, diff 16, 95% confidence interval 2-31). There were no differences in mean LOS from time of arrival to time to being seen by a provider when comparing ES patients with patients with LEP or time of arrival to time to discharge or admission request. Comparing the patients with LEP who used interpreters with those who did not use interpreters, there was a significantly different LOS from time of arrival to time of discharge or admission request (958 ± 644 vs 628 ± 595 minutes, diff 330, 95% confidence interval 84-576). CONCLUSIONS: There was no difference in LOS for patients with LEP; however, patients with LEP who used interpreters had a significant increase in LOS compared with those who did not use interpreters.

Does the addition of Vocera hands-free communication device improve interruptions in an academic emergency department?

OBJECTIVE: Emergency department (ED) interruptions occur frequently. Recently, a hands-free communication device (HCD; Vocera) was added to the population of communications devices (a cellular telephone and a pager) in our ED. The research purpose was to determine whether this addition improved interruption times and our hypothesis was the device would decrease length of interruptions. METHODS: This was a prospective cohort study of interruptions in an academic ED level 1 trauma center before and after introduction of an HCD. Interruptions were defined a priori and based on previous literature. We studied a convenience sampling of shifts. Length of interruption time was recorded. Three investigators collected interruption data, including nine different ED attendings. RESULTS: Of 511 interruptions, there were no significant differences in types of interruptions pre- versus post-HCD. Before HCD use, we collected 40 hours of data with 65 interruptions (mean 1.6/hour). Post-HCD, 180 hours of data were collected with 446 interruptions (mean 2.5/hour). There was a significant difference in length of time of interruptions, with an average of 9 minutes pre-HCD versus 4 minutes post-HCD (P = 0.012 diff 4.9; 95% confidence interval 1.8-8.1). HCD calls were significantly shorter than non-HCD calls (1 vs 5 minutes; P < 0.001). Comparing data collectors for type of interruption during the same 4-hour shift resulted in κ = 0.73. CONCLUSIONS: The addition of Vocera HCD may improve interruptions by shortening call length.

Unusual cause of neck pain: septic arthritis of a cervical facet.

Neck pain is a common cause for presentation to an emergency department. Most causes are benign and often secondary to arthritis or injuries. We present a case of septic cervical facet arthritis, a very rare cause of neck pain. The clinical presentation of septic cervical facet arthritis includes fever, neck pain that is often unilateral that is worse with movement, nerve root symptoms, and radiation of pain to the shoulder. Consequences may be severe and include joint destruction and infection progression. Symptoms may be indolent, and a high index of suspicion is necessary to make this diagnosis.

Derivation and validation of a short emergency department screening tool for perpetrators of intimate partner violence: the PErpetrator RaPid Scale (PERPS).

BACKGROUND: There is no short screening tool for perpetrators of intimate partner violence (IPV), although one is needed. OBJECTIVE: To retrospectively derive and prospectively validate a brief screening tool for perpetrators of IPV: the PErpetration RaPid Scale (PERPS). METHODS: In the derivation phase of the study, we developed the PERPS based on historical data. The PERPS consists of three Yes/No questions about physical abuse of a partner. In the validation phase, we prospectively screened subjects during randomized 4-h shifts in a busy emergency department (ED). Subjects were asked to complete the newly derived three-question PERPS as well as the Physical Abuse of Partner Scale (PAPS), a 25-question Likert scale that is the gold standard for detection of physical abuse of a partner. The main outcome measures were sensitivity, specificity, predictive values, accuracy, and Cronbach alpha of the PERPS for internal consistency. RESULTS: The PERP Scale derivation was based on a 207-subject historical database, and resulted in a three-question PERPS. Validation was completed on a new set of 214 patients presenting to the ED during 52 randomized 4-h shifts. The prevalence of IPV perpetration using the PERPS was 47/207 (22.7%; 95% confidence interval [CI] 16-27). For the PAPS, prevalence was 56/207 (27%; 95% CI 20-32). Compared with the PAPS, the sensitivity of the PERPS was 66%, specificity 93%, negative predictive value 87%, positive predictive value 78%, with an accuracy of 85%. Cronbach alpha of the PERPS was 0.68. Age, gender, and race were not predictive of positive results on either scale. CONCLUSION: We successfully derived and validated a three-question perpetrator of IPV scale that can be used in a busy ED or office setting.

Occult pneumothoraces in acute trauma patients.

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 χ(2) tests were used for univariate analysis. A regression analysis 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 (sensitivity = 50%). 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] = 3.8) and PTX size (compared to a tiny PTX, adjusted OR = 2.0 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.

On-site pharmacists in the ED improve medical errors.

OBJECTIVE: The objective of the study was to compare errors in the emergency department (ED) with pharmacists present (PPs) for resuscitations and traumas vs with pharmacists absent (PAs). Our hypothesis was that errors would be significantly fewer during PP than PA times. We also hypothesized that times with PP would affect patients greater when disposition was to more critical areas (intensive care unit, or ICUs). METHODS: The study was conducted during a 3-month period in 2009 in a level 1 trauma center with an emergency medicine residency. This was a cross-sectional cohort study comparing a prospective analysis of patients during the time (10 hour/day) with PP and a retrospective review of the time on the same days (14 hours/day) with PA. Demographics of age, race, and sex were recorded. Patient disposition was either ICU, operating room, non-ICU wards, observation unit, or discharge. Main outcome was errors recorded including medications given but not ordered, medication ordered but not given, and time delays for medications. For demographics and prevalence, descriptive statistics and percentages were used. Percent differences and 95% confidence intervals (CIs) and χ2 were derived. Logistic regression used predictor variables of age, race, sex, disposition, and presence or absence of pharmacists. An a priori power analysis was performed. The study was powered at 80% with 186 subjects per group (PP vs PA), to find a difference of 20% between the 2 groups in percent of medical errors. RESULTS: There were 694 patients included in the 3-month period. A total of 242 presented during PP times and 452 during PA times. There were 383 (55%) male, 301 (43%) female, and 10 (2%) unknown sex. Mean age was 45±18 years in PP group and 48±20 years in PA group (P, nonsignificant). There was no difference in ethnicity between groups. There were 6 (3%) patients with errors recorded during PP times and 137 (30%) with errors recorded during PA times (difference, 27%; 95% CI, 23-32). Controlling for age, race, sex, and disposition, medical errors were 13.5 times more likely during PA than during PP times (adjusted odds ratio, 13.5; 95% CI, 5.7-31.9). CONCLUSION: With pharmacists absent, over 13 times more errors are recorded in our ED than with pharmacists present. An on-site pharmacist in the ED may be helpful in reducing medical errors.