Healthcare has invested heavily in access to programs, tools, and benefits. What it has largely neglected is readiness.
Readiness to change is one of the strongest predictors of engagement, adherence, and long-term outcomes in behavioral science literature. Research supported by the National Institutes of Health shows that people are far more likely to engage when interventions align with their readiness stage.
Source:
NIH Research Matters — Behavior Change:
https://www.nih.gov/news-events/nih-research-matters/what-drives-behavior-change
Yet most health systems assume readiness instead of detecting or building it.
Why Engagement Drops So Quickly
A large body of digital health research shows that engagement often declines rapidly when tools appear at the wrong moment. A review published in the American Journal of Preventive Medicine found that many digital health interventions experience steep early attrition when readiness is not addressed.
Source:
American Journal of Preventive Medicine (Digital Intervention Engagement):
https://www.sciencedirect.com/science/article/pii/S0749379720304405
This drop-off isn’t about program quality. It’s about timing.
Readiness Is Dynamic, Not Binary
Behavioral frameworks like the Transtheoretical Model have long shown that individuals move through stages of readiness, and that interventions must match those stages to be effective.
Source:
Transtheoretical Model of Behavior Change:
https://pubmed.ncbi.nlm.nih.gov/10170434/
Motivational Interviewing research further reinforces that readiness can be built through reflective, autonomy-supportive interaction rather than instruction.
Source:
Motivational Interviewing Systematic Review (Rubak et al.):
https://bjgp.org/content/55/513/305
Detecting Readiness Before Engagement Fails
CoachLinq’s Behavioral Discovery Engine is designed to detect early readiness signals — subtle shifts in engagement patterns, language, curiosity, and follow-through — and respond before disengagement occurs.
Readiness is not a soft concept. It is a measurable, actionable variable — and the missing link in engagement.
Evidence supporting this approach can be found at:
https://www.inhealthonline.com/clinical-research
