Key Takeaways
New research shows that whether a chronic disease patient stays on treatment often has less to do with their diagnosis and more to do with things easy to overlook, like how supported they feel during doctor visits or how confident they are managing day-to-day life with the condition.
- Confidence and support predict adherence
- Identifying risk early changes the outcome
What a New Study Reveals About Chronic Disease Adherence
A newly diagnosed patient rarely intends to fall off treatment. Someone diagnosed with heart failure or asthma typically starts out committed, follows the plan, and shows up to appointments. Then, a few months in, many simply stop. The question worth asking isn’t whether that happens; it’s why.
A new peer-reviewed study by Axios International, published in the Journal of Comparative Effectiveness Research, explores this question using real-world insights from our programs in the United Arab Emirates (UAE) to help shape more effective, personalized adherence strategies.
The study followed patients newly diagnosed with one of five chronic diseases (ankylosing spondylitis, heart failure, multiple sclerosis, psoriasis, or asthma) for at least 12 months, and through the use of real-world data collected through Axios’ Patient Needs Assessment Tool (PNAT), researchers were able to analyze the key predictors of sustained treatment versus early discontinuation.
The Factors That Actually Predict Whether Patients Stay on Treatment
The study found that patients were significantly more likely to remain on treatment if they:
- Were satisfied with the time spent with their doctor
- Felt involved in making treatment decisions
- Could manage their disease confidently
- Received emotional and practical support from family and friends
- Had low dependence on others for daily activities
Of everything measured, the quality of time spent with the prescribing physician stood out. Patients who felt genuinely heard during consultations were nearly seven times more likely to still be on treatment a year later. The inverse held too: patients carrying high anxiety and stress were far more likely to be lost to follow-up, a term the study used as a proxy for likely discontinuation.
Adherence didn’t stay fixed over that year, either. Patients reported real shifts in how easily they could participate in community life, how much their cultural habits shaped their choices, and what role spiritual beliefs played in how they coped. Adapting to a chronic condition doesn’t just change a patient’s medical routine; it reshapes the social and personal world around them, and that world can just as easily support treatment as quietly undermine it.
What This Means for Patient Support Programs
The takeaway isn’t that clinical care doesn’t matter; it’s that clinical care alone was never going to be enough. Tools like Axios’ PNAT exist to catch the risk factors that don’t show up on a chart: the anxious patient who needs more time, the one drifting from their support system, the one whose community ties are quietly eroding. Personalizing around those signals, rather than treating every patient on the same protocol, is what turns a good intention into a year of sustained treatment.
Getting a patient to start treatment was never the hard part. These findings suggest that keeping them there depends less on the prescription and more on everything surrounding it. If the biggest predictors of adherence turn out to be relational and emotional rather than clinical, what does that suggest about where healthcare systems should be investing next?
