KidneyMateJoin early access
Research and evidence

We did the research
before the marketing.

KidneyMate is grounded in a three-layer conceptual framework, wider CKD literature and a public validation plan. The framework is currently under peer review.

Research collaboration
A blue clinical trend graph
Evidence before claims / 01
The framework

Three connected layers.
One accountable pathway.

A Conceptual Framework for Chronic Kidney Disease Self-Management Support is currently under peer review. A publication link will be added when confirmed.

01

Data and context

Patient-generated records sit beside personal targets, clinical notes and guideline-informed context.

02

Transparent analysis

Rule-based comparisons turn longitudinal records into inspectable patterns, trends and review signals.

03

Clinician review

Qualified people interpret, validate and contextualise outputs before feedback or action.

The validation pathway

What we must show,
and how.

  1. 01Expert review

    Clinicians and health-informatics researchers scrutinise the framework and prototype.

  2. 02Prototype refinement

    What experts and users break, we rebuild, document and version.

  3. 03Governed pilots

    Small Australian pilots with formal ethics, privacy and consent arrangements.

  4. 04Stated evaluation

    Usability, interpretability, clinical relevance, transparency, workflow fit and acceptance.

  5. 05Publication

    Results go into the literature whichever way they land.

Working evidence base

What the literature says.
What we took from it.

Peer-reviewed study2025

Global, regional and national burden of chronic kidney disease, 1990 to 2023

GBD CKD Collaborators · The Lancet

CKD affects hundreds of millions of adults; self-management support needs to scale beyond clinic hours.

Clinical guideline2024

KDIGO Clinical Practice Guideline for the Evaluation and Management of CKD

Kidney International

KidneyMate’s tracking domains reflect established CKD-management priorities rather than generic wellness metrics.

Peer-reviewed study2022

Electronic symptom monitoring with clinician feedback

Viecelli et al. · AJKD

Monitoring becomes meaningful when it is paired with engagement and a defined clinical feedback pathway.

Randomised study2020

Mobile health support for CKD self-management

Li et al. · JMIR

Encouraging signals support proper validation, not premature outcome claims.

Systematic review2019

eHealth interventions for people with chronic kidney disease

Stevenson et al. · Cochrane

Fragmented single-function tools dominate; integration and clinical accountability remain gaps.

Systematic review2018

The work of being an adult patient with CKD

Roberti et al. · BMJ Open

A useful product must reduce daily burden rather than add another reporting task.

This is a concise website summary, not a complete bibliography. Source links will be added after publication and clinical review.

Researchers and clinicians

This is the good stage
to arrive.

Validation partners, pilot sites and research collaborators can materially shape the work now.

Start a research conversation