Background
Patients undergoing diagnostic evaluation for suspected cancer of unknown origin frequently experience fragmented care, diagnostic uncertainty and delayed access to specialist expertise. The SUPER-ED (Solving Unknown Primary cancER Earlier Diagnosis) trial was developed to address these challenges through a coordinated model of care incorporating standardised diagnostic pathways, embedded Care Coordinators, a national virtual multidisciplinary meeting (MDM) and an educational website resource1.
Study Design
SUPER-ED is a national, multi-site stepped-wedge cluster randomised controlled trial across 15 Australian health services (target n=240). Following a period of standard care, sites cross over to the intervention phase with implementation of the model of care described above. Recruitment is ongoing (Feb 25 to May 27). Mid-trial implementation was reviewed and refined to identify barriers, guide service improvements and support adaptation of the model.
Progress
115 participants have been recruited, with 10 of 15 sites in the intervention phase; the remaining five sites cross over in Oct 26. MDM: To date, 12 national virtual MDMs have reviewed 24 complex cases; a primary or suspected tissue of origin was identified in 9 cases, informing investigations, treatment decisions and specialist referrals. Implementation challenges include referral uptake, imaging transfer and access to molecular testing. Care Coordinators: Implemented at all sites (10/10), with varied local workforce models across nursing and research. Sites reported improved care coordination and continuity, although challenges included role integration and clinician engagement. Patient-centred language: Consumer and clinician feedback led to the adoption of “suspected cancer” terminology across patient materials and website resources, aligning with real-world diagnostic pathways and informed by the UK CUP World Alliance.
Conclusion
Mid-trial lessons from SUPER-ED demonstrate the value of multidisciplinary networks and consumer partnership in identifying implementation barriers, informing service redesign, and supporting the delivery of a new model of care across multiple health services.