Development of a Predictive Model for Emergency Department Utilization and Unanticipated Hospital Admission in Patients Receiving Cancer Treatment for Solid Tumor Malignancies
The model developed in this study demonstrated good sensitivity in identifying patients with solid tumors who are at highest risk for EDU or HA and could be implemented in clinical practice to allow for preventive outpatient interventions.
Authors
- Congwen Zhao (ORCID: https://orcid.org/0000-0002-8540-6880)
- Brooke Alhanti (ORCID: https://orcid.org/0000-0003-4243-8062)
- Brittany Anne Davidson (ORCID: https://orcid.org/0000-0001-9698-0442)
- Catherine Watson (ORCID: https://orcid.org/0000-0002-4200-6502)
- Laura Jean Havrilesky (ORCID: https://orcid.org/0000-0002-4259-5992)
Institutions
- Duke University (US)
- Vanderbilt University (US)
- Clinical Research Institute (US)
Publication Details
- Journal
- JCO Oncology Practice
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1200/op.23.00571
- Citations
- 2
- Primary Topic
- Economic and Financial Impacts of Cancer
- Type
- article
- Field-Weighted Citation Impact
- 2.26