Separate the rationale from the result.

1. Evidence supporting nutrition care.

Monitoring and reassessment belong to professional care.

The Academy of Nutrition and Dietetics describes nutrition monitoring and evaluation as the fourth step of the Nutrition Care Process. The RDN assesses progress against selected indicators and criteria, informing reassessment in the next cycle.

What this supports: ongoing professional assessment is part of nutrition care. This is a practice framework, not an experiment showing that between-visit software improves outcomes.

Academy of Nutrition and Dietetics · Nutrition Monitoring and Evaluation. Undated guidance; accessed September 9, 2026.

2. Evidence about digital dietary support.

Web-based support for adults with type 2 diabetes.

Dening and colleagues reviewed five randomized studies involving 1,056 adults. Four reported improvements in dietary behavior, while clinical results varied. Interventions, prescribed diets, dietary measurements, and follow-up differed substantially.

What this supports: digital dietary support is worth investigating. The small, heterogeneous evidence base does not isolate the value of adaptive messaging, clinician-controlled decisions, or KeyRD.

Dening et al. · Web-Based Interventions for Dietary Behavior in Adults With Type 2 Diabetes. Journal of Medical Internet Research, August 28, 2020. Systematic review of randomized controlled trials; doi:10.2196/16437.

DASH diet apps: promising signals, weak evidence.

Alnooh and colleagues reviewed five studies involving 334 adults, including three randomized trials and two before-and-after studies. All three randomized trials were rated at high risk of bias. The authors could not draw firm conclusions about improved DASH adherence or blood pressure.

What this supports: usability and encouraging trends are insufficient to establish effectiveness. This review concerns DASH apps, not RDN continuity decisions or KeyRD.

Alnooh et al. · The Use of Dietary Approaches to Stop Hypertension (DASH) Mobile Apps for Supporting a Healthy Diet and Controlling Hypertension in Adults. JMIR Cardio, November 2, 2022. Systematic review; doi:10.2196/35876.

Our systematic review of dietary-prescription adherence.

Submitted, not yet peer-reviewed. Neil James led a systematic review of mobile-health interventions intended to help adults follow dietary prescriptions. More than 7,000 records were screened and 39 studies were included. The manuscript has been submitted to JMIR mHealth and uHealth.

The review informed the question behind KeyRD: which forms of support help people sustain a prescribed diet, and where does uncertainty remain? It reviews other interventions; it is not a study of KeyRD. The submission status and study counts are author-reported. No acceptance or publication is claimed, and a public manuscript link is not currently provided.

James is also Statera’s founder, so this is research from someone with a commercial interest in KeyRD. Read how the review shaped the work. A public citation will be added when available.

3. Evidence actually obtained for KeyRD.

Evidence ledger

Shown in synthetic examples: proposed decisions, source explanations, and operating boundaries that visitors can inspect. Software and website checks establish behavior in tested conditions; they do not establish usefulness in a real practice.

Being evaluated: whether context identifies useful attention beyond a fixed visibility rule, agreement with a dietitian’s source-first judgment, source-data limitations, and preparation and review effort. The dated protocol summary distinguishes the current design from decisions still pending.

Not established: improved continuity, dietary adherence, patient outcomes, workload reduction, economic benefit, or superiority to a simpler workflow. No real-practice outcome result is presented here.

ABSTAIN remains a product hypothesis.

KeyRD should distinguish useful attention from situations best left alone. None of the cited sources validates KeyRD’s dispositions or establishes that more—or less—contact is the right choice in a particular case.

Why referral-leakage statistics are not proof.

Referral-completion and low-visit-count studies mix different failure modes: never starting care, appropriate completion, discharge, affordability, scheduling, patient preference, and unwanted loss to follow-up. They do not cleanly measure the target population KeyRD is evaluating: people already under RDN care with an active intervention who may or may not need between-visit attention.