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Economic Impact of Hospitalization Past Maximal Neurosurgical Inpatient Benefit
Cara M Rogers1, Christopher M Busch1, Joshua A Cuoco1
1Neurosurgery, Carilion Clinic-Virginia Tech Carilion School of Medicine, Roanoke, USA.
Cureus
|January 17, 2019
Summary
Prolonged hospitalizations for neurosurgery patients past maximum benefit create significant healthcare waste. Identifying at-risk patients can help reduce these unnecessary costs and improve resource allocation.
Area of Science:
- Healthcare Economics
- Neurosurgery
- Hospital Administration
Background:
- Unsustainable healthcare costs necessitate examining wasteful spending in all medical practices.
- Prolonged hospitalizations beyond maximum inpatient benefit represent a significant source of economic waste.
Purpose of the Study:
- To determine the direct and indirect costs of prolonged neurosurgical hospitalizations.
- To identify targets for mitigating healthcare economic waste in neurosurgery.
Main Methods:
- Retrospective chart review of neurosurgery patients admitted between July and October 2016.
- Analysis of patient factors, procedural acuity, disposition, and funding contributing to discharge delays.
- Identification of patients deemed medically stable but remaining hospitalized past their ideal discharge date.
Main Results:
- 15% of neurosurgery admissions (50 patients) experienced medically unnecessary prolonged hospitalizations (324 days total).
- Elective cases had the most prolonged hospitalizations; emergent cases had the most prolonged days.
- Discharge delays were linked to external facility bed availability, funding, and disposition disagreements. Medically unnecessary days constituted 41% of total hospitalization but only 12.9% of charges, with a cost of $2,070/day vs. $17,326/day for necessary days.
Conclusions:
- Neurosurgical patients hospitalized past maximum benefit incur substantial economic impact.
- Identifying at-risk patients for prolonged stays is crucial for waste mitigation.
- Addressing discharge barriers can optimize hospital resource allocation and reduce healthcare costs.
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