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Jack Ricchiuto's avatar

I think part of the conversation is that what we call evidence of outcomes for old questions is still based on old questions. Old questions often intrinsically do not have the power to lead us to new results. New questions have this power, and the conundrum with new questions is that they provide new signals, new kinds of feedback. For example, in the form of stories or metrics that diverge from old stories and metrics from old questions.

This is why we invite people to turn all of their assumptions into as many questions as possible and improve their questions so that they can form new actionable questions that make the difference. That manifests as what we call evidence.

Mike Baldwin's avatar

Mike lovely piece and been thinking down the same lines - and saw this in Brighton Dialysis unit the other day. Again not rewarded under todays economic system.

When a patient's peritoneal dialysis begins to fail, they enter a classic soft transition. The decline is gradual, continuous, and multi-signal. In a traditional, fractionated system, the soft drift goes uncoordinated and the system misses the accumulating signals of decline until a catastrophic hard event occurs.

The Sussex Kidney Unit counteracted this category error by merging their PD and Home Haemodialysis services into an integrated home unit. This structural redesign allowed the care team to pool warm data and engage in a continuous probe–sense–respond mode. By routinely tracking early soft signals — and proactively asking long-horizon screening questions such as "Would you be surprised if this patient transferred to HHD in six months?" — they created a protective buffer around the patient's physiological reserve.

The operational results are unambiguous. Patients demonstrating early, subclinical signs of inadequate clearance were identified early enough to allow planned vascular access placement (AVF/AVG). This bypassed the need for emergency CVC lines entirely, reduced modality-transition hospitalisations to zero in compliant tracks, and improved long-term patient survival. By dissolving administrative boundaries between distinct therapies, the Sussex model transformed a chaotic, emergency-driven event cascade into an organised, continuous, and deeply relational navigation of a complex illness path.

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