Esther K. Choo

Twitter as a tool for communication and knowledge exchange in academic medicine: A guide for skeptics and novices

Abstract Twitter is a tool for physicians to increase engagement of learners and the public, share scientific information, crowdsource new ideas, conduct, discuss and challenge emerging research, pursue professional development and continuing medical education, expand networks around specialized topics and provide moral support to colleagues. However, new users or skeptics may well be wary of its potential pitfalls. The aims of this commentary are to discuss the potential advantages of the Twitter platform for dialogue among physicians, to explore the barriers to accurate and high-quality healthcare discourse and, finally, to recommend potential safeguards physicians may employ against these threats in order to participate productively.

Validation of length of hospital stay as a surrogate measure for injury severity and resource use among injury survivors.

OBJECTIVES While hospital length of stay (LOS) has been used as a surrogate injury outcome when more detailed outcomes are unavailable, it has not been validated. This project sought to validate LOS as a proxy measure of injury severity and resource use in heterogeneous injury populations. METHODS This observational study used four retrospective cohorts: patients presenting to 339 California emergency departments (EDs) with a primary International Classification of Diseases, Ninth Revision (ICD-9), injury diagnosis (years 2005-2006); California hospital injury admissions (a subset of the ED population); trauma patients presenting to 48 Oregon EDs (years 1998-2003); and injured Medicare patients admitted to 171 Oregon and Washington hospitals (years 2001-2002). In-hospital deaths were excluded, as they represent adverse outcomes regardless of LOS. Duration of hospital stay was defined as the number of days from ED admission to hospital discharge. The primary composite outcome (dichotomous) was serious injury (Injury Severity Score [ISS] >or= 16 or ICD-9 ISS <or= 0.90) or resource use (major surgery, blood transfusion, or prolonged ventilation). The discriminatory accuracy of LOS for identifying the composite outcome was evaluated using receiver operating characteristic (ROC) analysis. Analyses were also stratified by age (0-14, 15-64, and >or=65 years), hospital type, and hospital annual admission volume. RESULTS The four cohorts included 3,989,409 California ED injury visits (including admissions), 236,639 California injury admissions, 23,817 Oregon trauma patients, and 30,804 Medicare injury admissions. Composite outcome rates for the four cohorts were 2.1%, 29%, 27%, and 22%, respectively. Areas under the ROC curves for overall LOS were 0.88 (California ED), 0.74 (California admissions), 0.82 (Oregon trauma patients), and 0.68 (Medicare patients). In general, the discriminatory value of LOS was highest among children, tertiary trauma centers, and higher volume hospitals, although this finding differed by the injury population and outcome assessed. CONCLUSIONS Hospital LOS may be a reasonable proxy for serious injury and resource use among injury survivors when more detailed outcomes are unavailable, although the discriminatory value differs by age and the injury population being studied.

Attending and resident satisfaction with feedback in the emergency department

OBJECTIVES Effective feedback is critical to medical education. Little is known about emergency medicine (EM) attending and resident physician perceptions of feedback. The focus of this study was to examine perceptions of the educational feedback that attending physicians give to residents in the clinical environment of the emergency department (ED). The authors compared attending and resident satisfaction with real-time feedback and hypothesized that the two groups would report different overall satisfaction with the feedback they currently give and receive in the ED. METHODS This observational study surveyed attending and resident physicians at 17 EM residency programs through web-based surveys. The primary outcome was overall satisfaction with feedback in the ED, ranked on a 10-point scale. Additional survey items addressed specific aspects of feedback. Responses were compared using a linear generalized estimating equation (GEE) model for overall satisfaction, a logistic GEE model for dichotomized responses, and an ordinal logistic GEE model for ordinal responses. RESULTS Three hundred seventy-three of 525 (71%) attending physicians and 356 of 596 (60%) residents completed the survey. Attending physicians were more satisfied with overall feedback (mean score 5.97 vs. 5.29, p < 0.001) and with timeliness of feedback (odds ratio [OR] = 1.56, 95% confidence interval [CI] = 1.23 to 2.00; p < 0.001) than residents. Attending physicians were also more likely to rate the quality of feedback as very good or excellent for positive feedback, constructive feedback, feedback on procedures, documentation, management of ED flow, and evidence-based decision-making. Attending physicians reported time constraints as the top obstacle to giving feedback and were more likely than residents to report that feedback is usually attending initiated (OR = 7.09, 95% CI = 3.53 to 14.31; p < 0.001). CONCLUSIONS Attending physician satisfaction with the quality, timeliness, and frequency of feedback given is higher than resident physician satisfaction with feedback received. Attending and resident physicians have differing perceptions of who initiates feedback and how long it takes to provide effective feedback. Knowledge of these differences in perceptions about feedback may be used to direct future educational efforts to improve feedback in the ED.

A systematic review of emergency department technology-based behavioral health interventions

OBJECTIVES This systematic review evaluated the evidence for use of computer technologies to assess and reduce high-risk health behaviors in emergency department (ED) patients. METHODS A systematic search was conducted of electronic databases, references, key journals, and conference proceedings. Studies were included if they evaluated the use of computer-based technologies for ED-based screening, interventions, or referrals for high-risk health behaviors (e.g., unsafe sex, partner violence, substance abuse, depression); were published since 1990; and were in English, French, or Spanish. Study selection and assessment of methodologic quality were performed by two independent reviewers. Data extraction was performed by one reviewer and then independently checked for completeness and accuracy by a second reviewer. RESULTS Of 17,744 unique articles identified by database search, 66 underwent full-text review, and 20 met inclusion criteria. The greatest number of studies targeted alcohol/substance use (n = 8, 40%), followed by intentional or unintentional injury (n = 7, 35%) and then mental health (n = 4, 20%). Ten of the studies (50%) were randomized controlled trials; the remainder were observational or feasibility studies. Overall, studies showed high acceptability and feasibility of individual computer innovations, although study quality varied greatly. Evidence for clinical efficacy across health behaviors was modest, with few studies addressing meaningful clinical outcomes. Future research should aim to establish the efficacy of computer-based technology for meaningful health outcomes and to ensure that effective interventions are both disseminable and sustainable. CONCLUSIONS The number of studies identified in this review reflects recent enthusiasm about the potential of computers to overcome barriers to behavioral health screening, interventions, and referrals to treatment in the ED. The available literature suggests that these types of tools will be feasible and acceptable to patients and staff.

Qualitative Research in Emergency Care Part I: Research Principles and Common Applications.

Qualitative methods are increasingly being used in emergency care research. Rigorous qualitative methods can play a critical role in advancing the emergency care research agenda by allowing investigators to generate hypotheses, gain an in-depth understanding of health problems or specific populations, create expert consensus, and develop new intervention and dissemination strategies. This article, Part I of a two-article series, provides an introduction to general principles of applied qualitative health research and examples of its common use in emergency care research, describing study designs and data collection methods most relevant to our field, including observation, individual interviews, and focus groups. In Part II of this series, we will outline the specific steps necessary to conduct a valid and reliable qualitative research project, with a focus on interview-based studies. These elements include building the research team, preparing data collection guides, defining and obtaining an adequate sample, collecting and organizing qualitative data, and coding and analyzing the data. We also discuss potential ethical considerations unique to qualitative research as it relates to emergency care research.

Interview-based Qualitative Research in Emergency Care Part II: Data Collection, Analysis and Results Reporting

Qualitative methods are increasingly being used in emergency care research. Rigorous qualitative methods can play a critical role in advancing the emergency care research agenda by allowing investigators to generate hypotheses, gain an in-depth understanding of health problems or specific populations, create expert consensus, and develop new intervention and dissemination strategies. In Part I of this two-article series, we provided an introduction to general principles of applied qualitative health research and examples of its common use in emergency care research, describing study designs and data collection methods most relevant to our field (observation, individual interviews, and focus groups). Here in Part II of this series, we outline the specific steps necessary to conduct a valid and reliable qualitative research project, with a focus on interview-based studies. These elements include building the research team, preparing data collection guides, defining and obtaining an adequate sample, collecting and organizing qualitative data, and coding and analyzing the data. We also discuss potential ethical considerations unique to qualitative research as it relates to emergency care research.

Adolescents' preference for technology-based emergency department behavioral interventions: does it depend on risky behaviors?

Objectives This study aimed to (1) determine the prevalence of technology use and interest in technology-based interventions among adolescent emergency department patients and (2) examine the association between interest in an intervention and self-reported risky behaviors. Methods Adolescents (age, 13–17 years) presenting to an urban pediatric emergency department completed a survey regarding baseline technology use, risky behaviors, and interest in and preferred format for behavioral health interventions. Questions were drawn from validated measures when possible. Descriptive statistics and &khgr;2 tests were calculated to identify whether self-reported risky behaviors were differentially associated with intervention preference. Results Two hundred thirty-four patients (81.8% of eligible) consented to participate. Almost all used technology, including computers (98.7%), social networking (84.9%), and text messaging (95.1%). Adolescents reported high prevalence of risky behaviors as follows: unintentional injury (93.2%), peer violence exposure (29.3%), dating violence victimization (23.0%), depression or anxiety (30.0%), alcohol use (22.8%), drug use (36.1%), cigarette use (16.4%), and risky sexual behaviors (15.1%). Most were interested in receiving behavioral interventions (ranging from 93.6% interest in unintentional injury prevention, to 73.1% in smoking cessation); 45% to 93% preferred technology-based (vs in person, telephone call, or paper) interventions for each topic. Proportion interested in a specific topic and proportion preferring a technology-based intervention did not significantly differ by self-reported risky behaviors. Conclusions Among this sample of adolescent emergency department patients, high rates of multiple risky behaviors are reported. Patients endorsed interest in receiving interventions for these behaviors, regardless of whether they reported the behavior. Most used multiple forms of technology, and approximately 50% preferred a technology-based intervention format.

The BUDDY (Bedside Ultrasound to Detect Dehydration in Youth) study

BackgroundPrior research suggests that the ratio of the ultrasound-measured diameter of the inferior vena cava to the aorta correlates with the level of dehydration in children. This study was designed to externally validate this and to access the accuracy of the ultrasound measured inspiratory IVC collapse and physician gestalt to predict significant dehydration in children in the emergency department.MethodsWe prospectively enrolled a non-consecutive cohort of children ≤18 years old. Patient weight, ultrasound measurements of the IVC and Ao, and physician gestalt were recorded. The percent weight change from presentation to discharge was used to calculate the degree of dehydration. A weight change of ≥5% was considered clinically significant dehydration. Receiver operating characteristic (ROC) curves were constructed for each of the ultrasound measurements and physician gestalt. Sensitivity (SN) and specificity (SP) were calculated based on previously established cutoff points of the IVC/Ao ratio (0.8), the IVC collapsibility index of 50%, and a new cut off point of IVC collapsibility index of 80% or greater. Intra-class correlation coefficients were calculated to assess the degree of inter-rater reliability between ultrasound observers.ResultsOf 113 patients, 10.6% had significant dehydration. The IVC/Ao ratio had an area under the ROC curve (AUC) of 0.72 (95% CI 0.53 to 0.91) and, with a cutoff of 0.8, produced a SN of 67% and a SP of 71% for the diagnosis of significant dehydration. The IVC collapsibility index of 50% had an AUC of 0.58 (95% CI 0.44 to 0.72) and, with a cutoff of 80% collapsibility, produced a SN of 83% and a SP of 42%. The intra-class correlation coefficient was 0.83 for the IVC/Ao ratio and 0.70 for the IVC collapsibility. Physician gestalt had an AUC of 0.61 (95% CI 0.44 to 0.78) and, with a cutoff point of 5, produced a SN of 42% and a SP of 65%.ConclusionsThe ultrasound-measured IVC/Ao ratio is a modest predictor of significant dehydration in children. The inspiratory IVC collapse and physician gestalt were poor predictors of the actual level of dehydration in this study.

External validation and comparison of three pediatric clinical dehydration scales

Objective To prospectively validate three popular clinical dehydration scales and overall physician gestalt in children with vomiting or diarrhea relative to the criterion standard of percent weight change with rehydration. Methods We prospectively enrolled a non-consecutive cohort of children ≤ 18 years of age with an acute episode of diarrhea or vomiting. Patient weight, clinical scale variables and physician clinical impression, or gestalt, were recorded before and after fluid resuscitation in the emergency department and upon hospital discharge. The percent weight change from presentation to discharge was used to calculate the degree of dehydration, with a weight change of ≥ 5% considered significant dehydration. Receiver operating characteristics (ROC) curves were constructed for each of the three clinical scales and physician gestalt. Sensitivity and specificity were calculated based on the best cut-points of the ROC curve. Results We approached 209 patients, and of those, 148 were enrolled and 113 patients had complete data for analysis. Of these, 10.6% had significant dehydration based on our criterion standard. The Clinical Dehydration Scale (CDS) and Gorelick scales both had an area under the ROC curve (AUC) statistically different from the reference line with AUCs of 0.72 (95% CI 0.60, 0.84) and 0.71 (95% CI 0.57, 0.85) respectively. The World Health Organization (WHO) scale and physician gestalt had AUCs of 0.61 (95% CI 0.45, 0.77) and 0.61 (0.44, 0.78) respectively, which were not statistically significant. Conclusion The Gorelick scale and Clinical Dehydration Scale were fair predictors of dehydration in children with diarrhea or vomiting. The World Health Organization scale and physician gestalt were not helpful predictors of dehydration in our cohort.

The DISPARITY Study: do gender differences exist in Surviving Sepsis Campaign resuscitation bundle completion, completion of individual bundle elements, or sepsis mortality?

PURPOSE Women in the emergency department are less likely to receive early goal directed therapy, but gender differences in the Surviving Sepsis Campaign (SSC) bundle completion have not been studied [1]. We hypothesized that women have lower SSC resuscitation bundle completion rates. MATERIALS AND METHODS This was a retrospective, observational study in a large urban academic ED at a national SSC site. Consecutive patients (age>18 years) admitted to intensive care with severe sepsis or septic shock and entered into the SSC database from October 2005 to February 2012 were included. Data on overall and individual bundle elements were exported from the database. Bivariate analyses were performed with chi-square tests and t-tests. Multiple logistic regression was then performed with gender as an effect modifier. RESULTS Eight hundred fourteen patients were enrolled. The mean age was 66 years;, 44.8% were women. There was no association between gender and bundle completion (aOR 0.83, 95% CI 0.58-1.16), controlling for age, race, Sequential Organ Failure Assessment, congestive heart failure, and coagulopathy. In-hospital mortality did not differ by gender. Women were less likely to receive antibiotics within 3 hours (60.5% vs. 68.8%, p=0.01) and less likely to reach a target ScvO2>70 (31.3% vs. 39.5%, P=.05). CONCLUSIONS There were no gender disparities in bundle completion or in-hospital mortality. Further research is needed to examine individual bundle elements and gender specific factors that may affect bundle completion and mortality.