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Neither measure could predict admission or discharge FIM ambulation scores better than demographic variables.
High scores for the parameters oxygen saturation and level of consciousness in the NEWS may predict admission to the ICU.
Further, the paramedics were able to predict admission to intensive care with a sensitivity of 68% and PPV of 50%.
If triage nurses could accurately predict admission, one theoretical intervention to reduce crowding is to place patients in the admission cue on arrival to the emergency department.
A regression analysis showed that lower oxygen saturation and a lower level of consciousness were significantly associated with ICU admission (OR 1.27 [1.06–1.52], p = 0.01 and OR 1.77 [1.12–2.82], p = 0.02) and may predict admission to the ICU better than the other parameters.
Thus, this rule is not a decision rule to predict admission.
Similar(43)
Goodness-of-fit statistics indicate a limited ability of the multivariate models to predict admissions, suggesting that variables not included play a role.
Primary care data linked with hospital admission registration data can be useful for allocating resources, to plan hospital care, to predict admissions for children from general practice, and studies conducted in primary and specialised care might benefit from these data.
Results: Both cognitive measures predicted admission and discharge total FIM scores, continence status, and activities of daily living (ADL) scores.
The goal is the building of a statistical model, based on applicant data, for predicting admission to selective universities.
SMF ED safe discharge score correctly predicts admission and revisits in discharged patients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com