2017
DOI: 10.1111/acem.13103
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The Impact of Emergency Department Census on the Decision to Admit

Abstract: Objective: We evaluated the effect of emergency department (ED) census on disposition decisions made by ED physicians.Methods: We performed a retrospective analysis using 18 months of all adult patient encounters seen in the main ED at an academic tertiary care center. Patient census information was calculated at the time of physician assignment for each individual patient and included the number of patients in the waiting room (waiting room census) and number of patients being managed by the patient's attendi… Show more

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Cited by 38 publications
(20 citation statements)
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“…The decision to whether admit or discharge a patient is largely driven by the patient's clinical conditions but is also affected by nonclinical factors. For example, disposition may depend on the patient's insurance status or other administrative factors such as the congestion level of the ED . We studied how an exogenous factor, a P4P program that provided financial compensation for each patient visit that met a certain LOS target, affected the timing of patient disposition and resulting outcomes in the form of return to an ED and subsequent admission to an inpatient unit.…”
Section: Discussionmentioning
confidence: 99%
“…The decision to whether admit or discharge a patient is largely driven by the patient's clinical conditions but is also affected by nonclinical factors. For example, disposition may depend on the patient's insurance status or other administrative factors such as the congestion level of the ED . We studied how an exogenous factor, a P4P program that provided financial compensation for each patient visit that met a certain LOS target, affected the timing of patient disposition and resulting outcomes in the form of return to an ED and subsequent admission to an inpatient unit.…”
Section: Discussionmentioning
confidence: 99%
“…Systems-level factors may also play a role in providers’ decision to admit later in the shift. For example, hospital size7 8 as well as ED crowding9 10 have been shown to increase rates of admission. ED crowding might partly explain our findings, though our data do not reflect the degree of crowding (see limitations below).…”
Section: Discussionmentioning
confidence: 99%
“…However, systems-level factors also influence admission decisions. Both hospital size7 8 as well as ED crowding9 10 have been shown to increase rates of admission.…”
Section: Introductionmentioning
confidence: 99%
“…When combined with the pressures of the four-hour target, staff ensuring a safe and therapeutic discharge for patients who self-harm, may offer patients an inpatient admission that might otherwise have been avoidable (Mortimore & Cooper, 2007). Such admissions are likely to occur where there is a lack of access to previous patient notes, to ongoing support and where there is an impaired ability to obtain collateral information (Pope, et al 2017) thus transferring such duties to the inpatient team outside of the target (Gorski, et al 2016).…”
Section: The Impact Of the Target Upon The Discharge Decisionmentioning
confidence: 99%