期刊
BMJ SUPPORTIVE & PALLIATIVE CARE
卷 13, 期 2, 页码 228-233出版社
BMJ PUBLISHING GROUP
DOI: 10.1136/spcare-2022-003716
关键词
Prognosis; Service evaluation; Supportive care
The study described a multidisciplinary service for treatable but not curable cancer patients at University Hospitals Sussex, showing a reduction in length of stay and readmission rates. Despite slightly higher costs, there was a clear return on investment with a benefit cost ratio of 1.4.
Objectives There have been many models of providing oncology and palliative care to hospitals. Many patients will use the hospital non-electively or semielectively, and a large proportion are likely to be in the last years of life. We describe our multidisciplinary service to treatable but not curable cancer patients at University Hospitals Sussex. The team was a mixture of clinical nurse specialists and a clinical fellow supported by dedicated palliative medicine consultant time and oncology expertise. Methods We identified patients with cancer who had identifiable supportive care needs and record activity with clinical coding. We used a baseline 2019/2020 dataset of national (secondary uses service) data with discharge code 79 (patients who died during that year) to compare a dataset of patients seen by the service between September 2020 and September 2021 in order to compare outcomes. While this was during COVID-19 this was when the funding was available. Results We demonstrated a reduction in length of stay by an average of 1.43 days per admission and a reduction of 0.95 episodes of readmission rates. However, the costs of those admissions were found to be marginally higher. Even with the costs of the service, there is a clear return on investment with a benefit cost ratio of 1.4. Conclusions A supportive oncology service alongside or allied to acute oncology but in conjunction with palliative care is feasible and cost-effective. This would support investment in such a service and should be nationally commissioned in conjunction with palliative care services seeing all conditions.
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