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1.
Infect Control Hosp Epidemiol ; 39(6): 688-693, 2018 06.
Article in English | MEDLINE | ID: mdl-29656720

ABSTRACT

OBJECTIVESThe risk of cross infection in a busy emergency department (ED) is a serious public health concern, especially in times of pandemic threats. We simulated cross infections due to respiratory diseases spread by large droplets using empirical data on contacts (ie, close-proximity interactions of ≤1m) in an ED to quantify risks due to contact and to examine factors with differential risks associated with them.DESIGNProspective study.PARTICIPANTSHealth workers (HCWs) and patients.SETTINGA busy ED.METHODSData on contacts between participants were collected over 6 months by observing two 12-hour shifts per week using a radiofrequency identification proximity detection system. We simulated cross infection due to a novel agent across these contacts to determine risks associated with HCW role, chief complaint category, arrival mode, and ED disposition status.RESULTSCross-infection risk between HCWs was substantially greater than between patients or between patients and HCWs. Providers had the least risk, followed by nurses, and nonpatient care staff had the most risk. There were no differences by patient chief complaint category. We detected differential risk patterns by arrival mode and by HCW role. Although no differential risk was associated with ED disposition status, 0.1 infections were expected per shift among patients admitted to hospital.CONCLUSIONThese simulations demonstrate that, on average, 11 patients who were infected in the ED will be admitted to the hospital over the course of an 8-week local influenza outbreak. These patients are a source of further cross-infection risk once in the hospital.Infect Control Hosp Epidemiol 2018;39:688-693.


Subject(s)
Cross Infection/transmission , Infectious Disease Transmission, Patient-to-Professional/statistics & numerical data , Infectious Disease Transmission, Professional-to-Patient/statistics & numerical data , Respiratory Tract Diseases/epidemiology , Disease Outbreaks , Emergency Service, Hospital , Health Personnel , Hospitalization , Humans , Patient Simulation , Patients , Prospective Studies , Risk Factors
2.
Soc Networks ; 48: 181-191, 2017 Jan.
Article in English | MEDLINE | ID: mdl-32288125

ABSTRACT

Emergency departments play a critical role in the public health system, particularly in times of pandemic. Infectious patients presenting to emergency departments bring a risk of cross-infection to other patients and staff through close proximity interactions or contacts. To understand factors associated with cross-infection risk, we measured close proximity interactions of emergency department staff and patients by radiofrequency identification in a working emergency department. The number of contacts (degree) is not related to patient demographic characteristics. However, the amount of time in close proximity (weighted degree) of patients with ED personnel did differ, with black patients having approximately 15 min more contact with staff than non-white patients. Patients arriving by EMS had fewer contacts with other patients than patients arriving by other means. There are differences in the number of contacts based on staff role and arrival mode. When crowding is low, providers have the most contact time with patients, while administrative staff have the least. However, when crowding is high, this differential is reversed. The effect of arrival mode is modified by the extent of crowding. When crowding is low, patients arriving by EMS had longer contact with administrative staff, compared to patients arriving by other means. However, when crowding is high, patients arriving by EMS had less contact with administrative staff compared to patients arriving by other means. Our findings should help designers of emergency care focus on higher risk situations for transmission of dangerous pathogens in an emergency department. For instance, the effects of arrival and crowding should be considered as targets for engineering or architectural interventions that could artificially increase social distances.

3.
West J Emerg Med ; 16(7): 1014-24, 2015 Dec.
Article in English | MEDLINE | ID: mdl-26759646

ABSTRACT

INTRODUCTION: The increasing rate of patient exposure to radiation from computerized tomography (CT) raises questions about appropriateness of utilization. There is no current standard to employ informed consent for CT (ICCT). Our study assessed the relationship between informed consent and CT utilization in emergency department (ED) patients. METHODS: An observational multiphase before-after cohort study was completed from 4/2010-5/2011. We assessed CT utilization before and after (Time I/Time II) the implementation of an informed consent protocol. Adult patients were included if they presented with symptoms of abdominal/pelvic pathology or completed ED CT. We excluded patients with pregnancy, trauma, or altered mental status. Data on history, exam, diagnostics, and disposition were collected via standard abstraction tool. We generated a multivariate logistic model via stepwise regression, to assess CT utilization across risk groups. Logistic models, stratified by risk, were generated to include study phase and a propensity score that controlled for potential confounders of CT utilization. RESULTS: 7,684 patients met inclusion criteria. In PHASE 2, there was a 24% (95% CI [10-36%]) reduction in CT utilization in the low-risk patient group (p<0.002). ICCT did not affect CT utilization in the high-risk group (p=0.16). In low-risk patients, the propensity score was significant (p<0.001). There were no adverse events reported during the study period. CONCLUSION: The implementation of ICCT was associated with reduced CT utilization in low-risk ED patients. ICCT has the potential to increase informed, shared decision making with patients, as well as to reduce the risks and cost associated with CT.


Subject(s)
Emergency Service, Hospital/statistics & numerical data , Informed Consent , Pelvis/diagnostic imaging , Radiography, Abdominal/statistics & numerical data , Tomography, X-Ray Computed/statistics & numerical data , Feasibility Studies , Female , Humans , Male , Middle Aged , Pilot Projects , Risk Factors
4.
PLoS One ; 8(8): e70854, 2013.
Article in English | MEDLINE | ID: mdl-23990915

ABSTRACT

BACKGROUND: Infectious individuals in an emergency department (ED) bring substantial risks of cross infection. Data about the complex social and spatial structure of interpersonal contacts in the ED will aid construction of biologically plausible transmission risk models that can guide cross infection control. METHODS AND FINDINGS: We sought to determine the number and duration of contacts among patients and staff in a large, busy ED. This prospective study was conducted between 1 July 2009 and 30 June 2010. Two 12-hour shifts per week were randomly selected for study. The study was conducted in the ED of an urban hospital. There were 81 shifts in the planned random sample of 104 (78%) with usable contact data, during which there were 9183 patient encounters. Of these, 6062 (66%) were approached to participate, of which 4732 (78%) agreed. Over the course of the year, 88 staff members participated (84%). A radiofrequency identification (RFID) system was installed and the ED divided into 89 distinct zones structured so copresence of two individuals in any zone implied a very high probability of contact <1 meter apart in space. During study observation periods, patients and staff were given RFID tags to wear. Contact events were recorded. These were further broken down with respect to the nature of the contacts, i.e., patient with patient, patient with staff, and staff with staff. 293,171 contact events were recorded, with a median of 22 contact events and 9 contacts with distinct individuals per participant per shift. Staff-staff interactions were more numerous and longer than patient-patient or patient-staff interactions. CONCLUSIONS: We used RFID to quantify contacts between patients and staff in a busy ED. These results are useful for studies of the spread of infections. By understanding contact patterns most important in potential transmission, more effective prevention strategies may be implemented.


Subject(s)
Communicable Diseases/transmission , Contact Tracing , Cross Infection/prevention & control , Cross Infection/transmission , Emergency Service, Hospital/organization & administration , Interpersonal Relations , Adult , Facility Design and Construction , Female , Hospitals, Urban , Humans , Infection Control , Male , Medical Staff, Hospital , Middle Aged , Prospective Studies , Radio Frequency Identification Device , Random Allocation
5.
Crit Pathw Cardiol ; 12(3): 141-9, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23892945

ABSTRACT

A comprehensive acute coronary syndrome (ACS) protocol was developed to improve the quality of care for patients admitted with definite or probable ACS. These protocols were constructed to streamline the practice for diverse clinicians who care for ACS patients across a variety of clinical settings. They are applicable in the emergency department, the cardiac catheterization laboratory, and the inpatient settings for hospitals with primary percutaneous coronary intervention capability. These protocols standardized the care by selecting the best therapy for each clinical scenario based on available established guidelines to insure the safest and highest value (quality/cost) medical care.


Subject(s)
Acute Coronary Syndrome/therapy , Algorithms , Angina, Unstable/therapy , Myocardial Infarction/therapy , Percutaneous Coronary Intervention/methods , Acute Coronary Syndrome/diagnosis , Angina, Unstable/diagnosis , Critical Pathways , Electrocardiography , Emergency Service, Hospital , Hospitalization , Humans , Medical Order Entry Systems , Myocardial Infarction/diagnosis
6.
Crit Pathw Cardiol ; 11(4): 211-3, 2012 Dec.
Article in English | MEDLINE | ID: mdl-23149364

ABSTRACT

BACKGROUND: : The American College of Cardiology/American Heart Association guidelines for ST-elevation myocardial infarction state that an electrocardiogram (ECG) should be performed on patients with suspected acute coronary syndrome upon presentation to the emergency department (ED) within 10 minutes. OBJECTIVE: : To determine how previously published clinical criteria for obtaining an ECG at ED triage perform in a population of patients receiving emergency cardiac catheterization for suspected myocardial infarction. This rule was originally derived by Graff to identify clinical criteria for obtaining an ECG at triage to rapidly identify patients with acute myocardial infarction. The Graff rule was developed in a setting where lytic therapy was the primary reperfusion strategy. A modification proposed by Glickman adds several more criteria in an effort to capture additional patients. We hypothesized that the Graff rule would identify most patients for whom the cardiac catheterization laboratory (CCL) was activated and that the Glickman rule would capture the remaining patients. METHODS: : Three trained physician reviewers retrospectively applied the Graff decision rule to 430 consecutive patients from a database of emergency CCL activations by ED physicians. The Graff rule recommends that patients between the ages of 30 and 49 years received a rapid ECG if they complained of chest pain and those aged 50 years or older received a rapid ECG when they complained of chest pain, shortness of breath, palpitations, weakness, or syncope. The newly developed Glickman rule, which included nausea and vomiting in patients over the age of 80 years, was applied to the patients where the Graff rule was negative. The triage note or earliest medical contact documentation was used to determine whether the patient's complaints would have resulted in a rapid ECG by the decision rule. Each case was reviewed for acute myocardial infarction as defined by high-grade stenosis on the subsequent emergent cardiac catheterization. A single data collection Microsoft Excel spreadsheet was used, and descriptive statistics were performed in Excel and Stata. RESULTS: : Of the 430 CCL activations, 415 (97%; 95% confidence interval, 95%-99%) were identified by the Graff rule. Of the 12 patients who were not identified by the rule, only 2 more were identified by the Glickman criteria. Among patients with confirmed ST-elevation myocardial infarction (79% of CCL activations), the Graff rule was 98% sensitive (95% confidence interval, 96%-99%). CONCLUSIONS: : The Graff ECG triage rule identified almost all patients for whom the CCL was activated. Modification of the rule as proposed by Glickman added very little to the rule's sensitivity, while increasing the number of ECGs required at triage.


Subject(s)
Decision Support Techniques , Electrocardiography/methods , Myocardial Infarction/diagnosis , Triage/methods , Adult , Age Factors , Aged , Aged, 80 and over , Diagnosis, Differential , Early Diagnosis , Electrocardiography/standards , Emergency Service, Hospital , Female , Georgia , Humans , Male , Middle Aged , Myocardial Infarction/physiopathology , Predictive Value of Tests , Retrospective Studies , Time Factors
7.
Disaster Med Public Health Prep ; 5(4): 261-5, 2011 Dec.
Article in English | MEDLINE | ID: mdl-22146664

ABSTRACT

OBJECTIVE: Describe commercially available products and services designed to convey personal health information in emergencies. METHODS: The search engine Google®, supplemented by print ads, was used to identify companies and organizations that offer relevant products and services to the general market. Disease-specific, health system, and health plan-specific offerings were excluded. Vendor web sites were the primary sources of information, supplemented by telephone and e-mail queries to sales representatives. Perfect inter-rater agreement was achieved. RESULTS: Thirty-nine unique vendors were identified. Eight sell engraved jewelry. Three offer an embossed card or pamphlet. Twelve supply USB drives with various features. Eleven support password-protected web sites. Five maintain national call centers. Available media differed markedly with respect to capacity and accessibility. Quoted prices ranged from a one-time expenditure of $3.50 to an annual fee of $200. Associated features and annual fees varied widely. CONCLUSION: A wide range of products and services exist to help patients convey personal health information. Health care providers should be familiar with their features, so they can access the information in a disaster or emergency.


Subject(s)
Access to Information , Commerce , Disaster Planning/methods , Electronic Health Records/organization & administration , Emergency Service, Hospital/organization & administration , Chronic Disease , Disaster Planning/organization & administration , Humans , Relief Work , United States
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