Research Appraisalother

Developing the multidisciplinary and multispecialty workforce and the systems needed to sustain high-quality care from diagnosis through long-term survivorship

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in CancerChoi, Youngjee, Balogh, Erin P, Bhatia, Smita et al.29 May 2026DOI

Clinical Snapshot

55CEBM

Evidence: Moderateother

PICO Framework

P — Population	Cancer survivors and healthcare systems providing survivorship care
I — Intervention	Multidisciplinary, multispecialty workforce development and system interventions
C — Comparator	Current standard survivorship care models
O — Outcomes	Quality of survivorship care, care coordination, clinician competencies, health system performance

Bottom Line

This expert consensus paper identifies four priority areas for improving cancer survivorship care: clinician competency development, enhanced communication and care coordination, health system interventions, and policy reform. While the recommendations are comprehensive and address important gaps in survivorship care delivery, the paper lacks systematic methodology and specific implementation guidance. The US-centric focus limits direct applicability to Australian practice, though the principles align with emerging survivorship care models. Healthcare leaders should consider these recommendations within local contexts, particularly regarding workforce training, electronic health record optimisation, and multidisciplinary care coordination. The 47 citations suggest significant interest in this topic, but implementation research is needed to validate these expert recommendations.

Evidence: Moderate

Key Findings

Effect Size: Not applicable - qualitative recommendations
Primary Outcome: Four key recommendation domains for survivorship care improvement
Nnt Or Sensitivity: Not applicable - consensus recommendations

Clinical Application

Moderate - requires significant system-level changes and workforce development Relevant to Australian cancer care but requires adaptation for Medicare, state health systems, and COSA guidelines. May inform Cancer Australia survivorship framework development Cancer survivors across all cancer types and stages, healthcare teams providing survivorship care

Abstract

With the growing population of individuals living with and beyond cancer-who often have a variety of complex health needs across their lifetimes-coordinated multidisciplinary, multispecialty expert care is needed to ensure comprehensive survivorship cancer care beginning at diagnosis. Guided by the July 2023 US National Academies of Sciences, Engineering, and Medicine workshop, we describe the evidence and propose steps to (1) identify and promote clinician competencies through education and training; (2) improve communication and care coordination, including leveraging the electronic health record and digital health innovations; (3) examine health system interventions and financial strategies to facilitate multidisciplinary, multispecialty survivorship care; and (4) identify policy, payment, and advocacy challenges and opportunities to achieve equitable, accessible, high-quality care. Although the recommendations are centered on the United States, their applicability to other countries should also be explored.

References

1.Choi, Y., Balogh, E. P., Bhatia, S., Carlson, R. W., Darien, G. E., Jones, R. A., Oyer, R. A., Schneider, S. M., Yabroff, K. R., Shulman, L. N., & Nekhlyudov, L. (2026). Developing the multidisciplinary and multispecialty workforce and the systems needed to sustain high-quality care from diagnosis through long-term survivorship. Supportive Care in Cancer. https://doi.org/10.1093/sw/swv047

Share:X LinkedIn

Related Research

Systematic Review

15CEBM

Cancer medicine

Applications of Artificial Intelligence in Cancer Diagnosis and Treatment

1 Aug 2026

other

65CEBM

Acta oncologica (Stockholm, Sweden)

User perceptions of machine learning models as decision support for colorectal cancer multidisciplinary team conferences (AID-SIM-2): a qualitative simulation study.