Age and admission times as predictive factors for failure of admissions to discharge-stream short-stay units

Admission characteristics of patients with short term hospitalization

BACKGROUND

Sheba Medical Center (SMC) is the largest hospital in Israel and has been coping with a steady increase in total Emergency Department (ED) visits. Over 140,000 patients arrive at the SMC's ED every year. Of those, 19% are admitted to the medical wards. Some are very short hospitalizations (one night or less). This puts a heavy burden on the medical wards. We aimed to identify the characteristics of short hospitalizations.

METHODS

We retrospectively retrieved data of consecutive adult patients admitted to our hospital during January 1, 2013, to December 31, 2019. We limited the cohort to patients who were admitted to the medical wards. We divided the study group into those with short, those with non-short hospitalization and those who were discharged from the ED.

RESULTS

Out of 133,126 admissions, 59,994 (45.0%) were hospitalized for short term. Patients in the short hospitalization group were younger and had fewer comorbidities. The highest rate of short hospitalization was recorded during night shifts (58.4%) and the rate of short hospitalization was associated with the ED daily patient load (r = 0.35, p < 0.001). The likelihood of having a short hospitalization was most prominent in patients with suicide attempt (80.0% of those admitted for this complaint had a short hospitalization), followed by hypertension (68.6%). However, these complaints accounted for only 0.7% of the total number of short hospitalizations. Cardiac and neurological complaints however, made up 27.4% of the short hospitalizations. The 30-days mortality rate was 7.0% in the non-short hospitalization group, 4.3% in the short hospitalization group and 0.9% in those who were discharged from the ED.

CONCLUSIONS

Short hospitalizations in medical wards have special characteristics that may render them predictable. Increasing the rate of treating personnel per patient during peak hours and referring subsets of patients with cardiac and neurological complaints to ED-associated short term observation units may decrease short admissions to medical departments.

Skin and soft tissue infection management failure in the emergency department observation unit: a systematic review

Introduction

Skin 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.

Methods

Searches 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.

Results

There 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.

Conclusion

A 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.