Appointment window scheduling with wait-dependent abandonment for elective inpatient admission

Author(s):  
Yuwei Lu ◽  
Zhibin Jiang ◽  
Na Geng ◽  
Shan Jiang ◽  
Xiaolan Xie
Keyword(s):  
Author(s):  
Kamesh Gupta ◽  
Ahmad Khan ◽  
Jean Chalhoub ◽  
Kevin Groudan ◽  
David Desilets

1995 ◽  
Vol 12 (1) ◽  
pp. 37-39 ◽  
Author(s):  
Simon J Taylor

AbstractObjective: In recent years a number of articles have highlighted deficiencies in drinking histories taken by junior doctors. This study examines whether standards have improved as a result. It also examines for the first time: 1. the quality of drinking histories taken from patients following parasuicide; and 2. the quality of illicit drug usage histories.Method: An audit of case notes was undertaken of 114 patients admitted to a district hospital's acute psychiatric wards or assessed following overdose. Two periods were considered; one preceding many of the articles, and the second four years later.Results: There was an overall improvement from 58% of histories in 1988 having no mention of alcohol usage to 25% in 1992. (X2MH=10.57, p<0.01). There was, however, insufficient improvement of quantitative histories to reach statistical significance. Histories taken as part of an overdose assessment were not significantly different from those taken for inpatient admission. In 1992, 27% of patients had any illicit drug usage history recorded which represented a statistically significant improvement (X2MH=5.91, p<0.02) compared with four years earlier.Conclusions: Although improvements have been noted, alcohol and drug histories remain inadequate.


2016 ◽  
Vol 35 (1) ◽  
pp. 56-61 ◽  
Author(s):  
Jeremy W Abetz ◽  
Nicholas G Adams ◽  
Biswadev Mitra

IntroductionSkin and soft tissue infections (SSTIs) are commonly treated in ED observation units (EDOUs). The management failure rate in this setting is high, as evidenced by a large proportion of patients requiring inpatient admission. This systematic review sought to quantify the management failure rate and identify risk factors associated with management failure.MethodsSearches of six databases and grey literature were conducted with no limits on publication year or language. Manuscripts describing patients admitted to an EDOU setting (≤24 hours planned admission to EDOU) with a primary diagnosis of cellulitis or other SSTIs were included. Variables associated with failure of management, defined as inpatient admission, stay >28 hours (4 hours in ED, 24 hours in EDOU) or death, were extracted. A narrative description of variables associated with failure of EDOU admission was conducted.ResultsThere were 1119 unique articles identified through the literature search. Following assessment, 10 studies were included in the final systematic review, 9 of which reported the management failure rate (range 15%–38%). The presence of fever, a high total white blood cell count and known methicillin-resistant Staphylococcus aureus exposure were the most commonly reported variables associated with management failure.ConclusionA higher rate of EDOU management failure in SSTIs than the generally accepted rate of 15% was observed in most studies identified by this review. Risk factors identified were varied, but presence of a fever and elevated inflammatory markers were commonly associated with failure of EDOU admission by multiple studies. Recognition of risk factors and the increased application of clinical decision tools may help to improve disposition of patients at high risk for clinical deterioration or management failure.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18618-e18618
Author(s):  
Alexander S. Qian ◽  
Edmund M. Qiao ◽  
Vinit Nalawade ◽  
Rohith S. Voora ◽  
Nikhil V. Kotha ◽  
...  

e18618 Background: Cancer patients frequently utilize the Emergency Department (ED) for a variety of diagnoses, both related and unrelated to their cancer. Patients with cancer have unique risks related to their cancer and treatment which could influence ED-related outcomes. A better understanding of these risks could help improve risk-stratification for these patients and help inform future interventions. This study sought to define the increased risks cancer patients face for inpatient admission and hospital mortality among cancer patients presenting to the ED. Methods: From the National Emergency Department Sample (NEDS) we identified patients with and without a diagnosis of cancer presenting to the ED between 2016 and 2018. We used International Classification of Diseases, version 10 (ICD10-CM) codes to identify patients with cancer, and to identify patient’s presenting diagnosis. Multivariable mixed-effects logistic regression models assessed the influence of cancer diagnoses on two endpoints: hospital admission from the ED, and inpatient hospital mortality. Results: There were 340 million weighted ED visits, of which 8.3 million (2.3%) occurred in patients with a cancer diagnosis. Compared to non-cancer patients, patients with cancer had an increased risk of inpatient admission (64.7% vs. 14.8%; p < 0.0001) and hospital mortality (4.6% vs. 0.5%; p < 0.0001). Factors associated with both an increased risk of hospitalization and death included older age, male gender, lower income level, discharge quarter, and receipt of care in a teaching hospital. We identified the top 15 most common presenting diagnoses among cancer patients, and among each of these diagnoses, cancer patients had increased risks of hospitalization (odds ratio [OR] range 2.0-13.2; all p < 0.05) and death (OR range 2.1-14.4; all p < 0.05) compared to non-cancer patients with the same diagnosis. Within the cancer patient cohort, cancer site was the most robust individual predictor associated with risk of hospitalization or death, with highest risk among patients with metastatic cancer, liver and lung cancers compared to the reference group of prostate cancer patients. Conclusions: Cancer patients presenting to the ED have high risks for hospital admission and death when compared to patients without cancer. Cancer patients represent a distinct population and may benefit from cancer-specific risk stratification or focused interventions tailored to improve outcomes in the ED setting.


CJEM ◽  
2014 ◽  
Vol 16 (01) ◽  
pp. 41-52 ◽  
Author(s):  
Nathan W. Brunner ◽  
Frank X. Scheuermeyer ◽  
Eric Grafstein ◽  
Krishnan Ramanathan

ABSTRACT Background: Cardiac troponin elevation portends a worse prognosis in diverse patient populations. The significance of troponin elevation in patients discharged from emergency departments (EDs)without inpatient admission is notwell known. Methods: Patients without a diagnosis of acute coronary syndrome discharged fromtwo EDs between April 1, 2006, and December 31, 2007, with an abnormal cardiac troponin (troponin positive [TP]) were compared to a troponin-negative (TN) cohort matched for age, sex, and primary discharge diagnosis. Outcomes were obtained by linking with a regional ED and a provincial vital statistics database and adjusted for the following: estimated glomerular filtration rate, do-not-resuscitate status, history of coronary artery disease, Canadian Triage and Acuity Scale, and left ventricular hypertrophy on electrocardiography. The primary outcome was a composite of death or admission to hospital within 1 year. Results: Our total cohort (n 5 344) consisted of 172 TP and 172 TN patients. In the univariate analysis, TP patients had a higher rate of the primary outcome (OR 3.2, 95% CI 2.1–5.0, p &lt; 0.001) and both of its components (p &lt; 0.001). After adjusting for covariates, positive troponin remained an independent predictor of the primary outcome (OR 2.1, 95% CI 1.3–3.4, p 5 0.005) and inpatient admission (OR 2.0, 95% CI 1.2–3.4, p 5 0.006). There was no significant difference in death (OR 1.3, 95% CI 0.6–2.9, p 5 0.5) after adjustment. Conclusions: A positive troponin assay during ED stay in discharged patients is an independent marker for risk of subsequent admission. Our findings suggest that the prognostic power of an abnormal troponin extends to patients discharged from the ED.


BMJ Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. e033786
Author(s):  
Bin Jiang ◽  
Dongling Sun ◽  
Haixin Sun ◽  
Xiaojuan Ru ◽  
Hongmei Liu ◽  
...  

ObjectivesTo investigate the rates and influencing factors of transient ischaemic attack (TIA) inpatient admissions and outpatient visits in China.SettingA door-to-door survey of 178 059 families from 155 urban and rural areas in 31 provinces in China, 2013.ParticipantsTotal 596 536 people were assessed in the annual rate analysis, and 829 TIA patients were assessed in the influencing factor analysis.Main outcome measuresThe weighted annual rates of TIA inpatient admissions and outpatient visits and the factors influencing inpatient admissions and outpatient visits for TIA patients.ResultsThe weighted annual inpatient admission rate per TIA patient was 25.8 (95% CI: 18.4 to 36.2) per 100 000 in the population, whereas the weighted annual inpatient admission rate for patients with TIAs was 32.5 (95% CI: 23.3 to 38.9) per 100 000 in the population. The weighted annual outpatient visit rate per TIA patient was 34.4 (95% CI: 26.2 to 45.1) per 100 000 in the population, whereas the weighted annual outpatient visit rate for patients with TIAs was 149.6 (95% CI: 127.0 to 165.5) per 100 000. The inpatient rate was higher for men than for women (OR: 2.24; 95% CI: 1.40 to 3.59; p=0.001), for TIA patients with stroke than for patients with isolated TIAs (2.93; 2.01 to 4.25; p<0.001), for TIA patients with hypertension than for TIA patients without hypertension (2.60; 1.65 to 4.11; p<0.001). The outpatient rate was higher for TIA patients with stroke than for patients with isolated TIAs (1.88; 1.33 to 2.64; p<0.001), for TIA patients with dyslipidaemia than for TIA patients without dyslipidaemia (1.92; 1.30 to 2.83; p=0.001).ConclusionsThe annual rates of TIA inpatient admissions and outpatient visits in population are low, probably due to the lack of access to inpatient and outpatient services experienced by the majority of TIA patients in the population, and individuals’ socio-demographic characteristics, disease histories and stroke prognosis may be associated with inpatient and outpatient TIAs.


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