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| Name | Class |
|---|---|
| University of Copenhagen | OTHER |
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Will the use of a clinical decision algorithm in the ED improve discharge or admission decisions.
Background Crowding and readmissions are common challenges in Emergency departments across Europe. The decision whether to admit or discharge the patient is challenging and is often based on clinical signs and symptoms e.g. blood pressure, pulse, respiratory rate, oxygen saturation and temperature. But some patients are unnecessarily admitted and may have been better off if sent home. Other patients may be discharged without - and one out of five patients are readmitted within a month raising the question whether the patient should have been admitted at first presentation in the ED. suPAR is a strong prognostic biomarker measured routinely in acute medical patients in some emergency department (ED) settings.suPAR is a broadly applicable biomarker of risk, and it has been developed an algorithm for simple interpretation of suPAR in clinical decisions for the study.
Objective To evaluate the use of a clinical decision algorithm in the ED with the aim of improving discharge or admission decisions.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| suPAR algoritm control | Control arm (Meilahti hospital): Samples are collected and suPAR measured but no algorithm is implemented. |
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| suPAR algoritm intervention | Intervention arm (Jorvi Hospital). According the algorithm when admitting a patient with suPAR below 3 ng/ml, physician should answer the following question "Are you sure it is the right decision to admit this patient? Please discuss this with a senior physician". If discharging a patient with suPAR above 6 ng/ml, physician should answer the following question "Are you sure it is the right decision to discharge this patient? Please discuss this with a senior physician". |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| suPAR algoritm | Diagnostic Test | All medical patients attending to the ED and who will have blood drawn for routine examination will be part of the study. In patients with low suPAR (green group, suPAR below 3 ng/ml) and in patients with high suPAR (red group, suPAR > 6 ng/mL) the Intervention will be carried out |
| Measure | Description | Time Frame |
|---|---|---|
| Discharges | Number of discharges from the ED within 24 hours | 30 days |
| Measure | Description | Time Frame |
|---|---|---|
| Admissions | Number of admissions to hospital | 30 days |
| Length of stay | Length of stay during admission | 30 days |
| Measure | Description | Time Frame |
|---|---|---|
| Economical savings | Amount of money | 30 days |
Inclusion Criteria:
Exclusion Criteria:
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All patients during the study period who signed the consent
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| Name | Affiliation | Role |
|---|---|---|
| Maaret Castrén, Docent | Professor | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Emergency Medicine and Services, Helsinki University Hospital and Helsinki University, Helsinki, Finland | Helsinki | Helsinki Usimaa | Finland |
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| ID | Term |
|---|---|
| D016638 | Critical Illness |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| Readmissions | Number of readmissions | 1,7 and 30 days |
| Mortality | Number of Mortality | 30 days |