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Economic assessment of a new model of care to support patients with cancer experiencing cancer- and treatment-related toxicities
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posted on 2020-09-01, 00:00 authored by Sophy T F Shih, A Mellerick, G Akers, K Whitfield, Marj MoodieMarj MoodiePURPOSE:The aim of this economic assessment was to evaluate the impact of a new nurse-led model of care, the Symptom and Urgent Review Clinic (SURC), for patients with cancer experiencing disease- or treatment-related symptoms. METHODS: An economic assessment was undertaken to estimate costs of the SURC from the service funder perspective and to compare the cost with cost offsets stemming from the implementation of the SURC. The cost offsets focused on the changes in emergency department (ED) presentations and inpatient admissions during a comparable 6-month period before and after the SURC implementation. Costs were analyzed in 2018 Australian dollars, and return on investment was calculated by comparing the cost offsets in the ED and inpatient units with the cost of the SURC. RESULTS: After the implementation of the SURC, patients were less likely to present to the ED (7.2% v 8.5%; P = .01), and patients who did present to the ED were more likely to be admitted to inpatient units (78% v 71%; P = .03) for additional treatment. The post-SURC period had a net cost savings of $37,090 compared with the pre-SURC period. From the service funder perspective, the SURC achieved an investment return of $1.73 for every dollar invested in the new service. CONCLUSION: Our study establishes the economic credentials of a new care model using empirical linked hospital service data. The SURC presents a new cancer care service for policy consideration from an economic standpoint. It demonstrates an efficient approach to hospital resource allocation to deliver quality cancer care.
History
Journal
JCO oncology practiceVolume
16Issue
9Pagination
E884 - E892Publisher
American Society of Clinical OncologyLocation
Alexandria, Va.Publisher DOI
ISSN
2688-1527eISSN
2688-1535Language
EnglishPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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