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Models of integration of oncology and palliative care
1Department of Palliative Care & Rehabilitation Medicine Unit 1414, University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA. dhui@mdanderson.org.
Objective:
Palliative care aims to improve cancer patients' quality of life through expert symptom management, psychosocial and spiritual care, patient-clinician communication, facilitation of complex decision making, and end-of-life care planning. Over the past few years, there has been increasing interest and evidence to support integration of oncology and palliative care. However, it remains unclear how best to promote integration. The goal of this review is to examine contemporary conceptual models and clinical approaches to integrate oncology and palliative care.
Methods:
Narrative review.
Results:
Conceptual models are useful to help stakeholders understand the rationale for integration, to compare the risks and benefits among different practices, and to define a vision towards integration. We will review four major conceptual models of integration, including (I) the time-based model which emphasizes on integration based on chronological criterion; (II) the provider-based (palli-centric) model which discusses primary, secondary and tertiary palliative care; (III) the issue-based (onco-centric) model which illustrates the advantages and disadvantages of the solo practice, congress and integrated care approaches; and (IV) the system-based (patient-centric) model which emphasizes automatic referral based on clinical events. Clinical models provide actual data on the feasibility, efficacy and effectiveness of integration in specific settings. The evidence and challenges related to selected clinical models in integrating oncology and palliative care, such as outpatient palliative care clinics and embedded clinics will be discussed.
Conclusions:
There are multiple conceptual models and clinical models to promote integration. Further research is needed to inform best practices for integration at different healthcare settings.
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