Digital Companions and Health Coaching for Older Adults with Chronic Eye Disease

Abstract

Digital health technologies (DHTs)—including mobile apps, web platforms, and intelligent voice assistants—are increasingly used to support self-management and adherence in chronic disease, but sustaining long-term engagement remains a major challenge.(1–3) Systematic reviews show that digital interventions often improve short-term self-management, health literacy, and quality of life, yet adherence typically declines over time and long-term clinical outcome data are limited.(1–3,4) Older adults face additional barriers such as lower digital literacy, sensory impairments, and multimorbidity, but also stand to benefit substantially from remote support for medication adherence, symptom monitoring, and psychological well-being.(1,3,5,6)

Recent trials of mobile health (mHealth) coaching programs in older adults with multiple chronic conditions demonstrate improvements in depression, health distress, and digital health literacy, though effects on objective self-management behaviors and medication adherence are more modest.(4,7) Multi-domain digital coaching frameworks that explicitly embed behavior change theory and use multiagent reasoning to personalize content have shown promising early results in type 2 diabetes, with clinically meaningful reductions in fasting glucose, weight, and body mass index, alongside high acceptance of coaching content.(3,8) Parallel developments in voice-activated health assistants show that, in seniors, integrated medication reminder and health support programs can increase medication possession ratios from approximately 62% to 87% over 12 months and double the proportion of patients achieving guideline-level adherence, while maintaining high daily engagement and satisfaction.(5)

In ophthalmology, early examples include smartphone apps for home dark adaptation testing in age-related macular degeneration (AMD) that correlate strongly with clinic-based instruments and demonstrate feasibility and usability in older adults.(9) Pharmaceutical and digital health partnerships are also piloting retinal disease “companion” apps for neovascular AMD and diabetic macular edema to support treatment adherence and education.(10) This article synthesizes cross-condition evidence on digital health coaching and intelligent assistants, with a view toward designing effective, accessible digital companions for older adults with chronic eye disease such as AMD.

Digital Health Coaching: What the Evidence Shows

Overall Impact on Chronic Disease Management

A 2026 scoping review of 69 digital health interventions for chronic disease management found that 77% of studies reported improvements in perceived health, quality of life, and self-management capacity, and clinicians noted better communication and clinical utility.(2) However, long-term health outcomes (beyond 12 months) and sustained behavior change remain under-characterized in most programs.(2,3) Common features of successful interventions include personalization, integration with routine care, and proactive engagement strategies (for example prompts, feedback, and gamification).(1–3)

An mHealth coaching intervention for adults with chronic disease showed that digital coaching can positively influence health beliefs and intentions, but observed clinical gains depended heavily on engagement and the underlying behavior change techniques used.(2,8) This underscores the need for theory-informed design rather than relying solely on information provision.

Coaching for Older Adults with Multimorbidity

A randomized trial of a digital health coaching self-management program for older adults living alone with multiple chronic conditions (49 participants) reported that an eight-week intervention significantly reduced health distress and depressive symptoms and improved digital health literacy compared with usual care.(4,7) In contrast, there were no statistically significant differences in objective self-management behaviors, medication adherence, or health-related quality of life over that time frame.(4,7) These results suggest that short-term digital coaching can meaningfully improve psychological and literacy outcomes but may require longer duration, more intensive or differently structured support, or closer integration with clinicians to shift harder endpoints such as adherence.

A systematic review and meta-analysis of digital interventions for chronic disease found that such tools significantly improve eHealth literacy (pooled effect size 1.22, 95% CI 0.55–1.89) versus usual care, indicating that digital platforms can effectively build foundational skills needed for more complex self-management tasks.(6)

Multiagent, Theory-Driven Coaching

A recent study introduced a multiagent behavioral change digital coaching framework implemented in the Healthentia platform, which uses behavior change theories and data-driven reasoning to select optimal coaching strategies per individual.(3,8) In a pilot with patients with type 2 diabetes, personalized coaching over several weeks led to substantial average reductions in fasting glucose (−17.3 mg/dL) and weight (−2.89 kg), with large effect sizes (Cohen d around 1.05–1.5).(3,8) Engagement metrics showed that 83% of delivered content items were accessed and 72% received positive feedback, reflecting high acceptance of tailored coaching.(3,8)

These results highlight that when digital coaching is both personalized and tightly coupled to clinical targets, meaningful physiological improvements are achievable—even in small samples—provided engagement is high.

Voice Assistants and Intelligent Companions for Older Adults

Medication Adherence and Engagement

Voice-activated health assistants integrated with smart speakers (for example Amazon Alexa, Google Home) have recently been evaluated as tools to support medication adherence and daily self-care among seniors.(5,11) A 12‑month program for patients aged 65 and older reported:

• Increase in average medication possession ratio (MPR) from 62% at baseline to 87% with the voice assistant (a roughly 50% relative improvement), and doubling of the proportion of patients achieving MPR >80% (from 38% to 76%).(5)
• High daily engagement, with 86% of participants using the assistant at least once per day and an average of 4.7 interactions daily.(5)
• Strong satisfaction ratings: 94% rated medication reminders as helpful, 92% found the system easy to use, and 91% would recommend it; 96% wished to continue the program.(5)

Participants and caregivers also reported increased perceived safety and reduced anxiety, emphasizing that voice assistants can address both practical and emotional needs.(5)

Fit with Older Adults’ Preferences

Contrary to stereotypes, adoption of smart speakers among adults 65+ is rising rapidly, with one survey showing 42% ownership and 67% of seniors preferring voice interaction over touchscreens for routine tasks.(5) In a geriatrics-focused qualitative study, older adults expressed that intelligent voice assistants could support the “5Ms” of geriatric care (Medications, Mind, Mobility, What Matters Most, Multicomplexity) by helping with medication reminders, cognitive cues, mobility safety prompts, and capturing patient priorities.(11)

These findings suggest that well-designed voice-based companions can be particularly suitable for older adults with visual impairment or limited dexterity—such as patients with AMD—who may struggle with traditional touch interfaces.

Early Digital Tools in Retinal Disease

Mobile Dark Adaptation Testing in AMD

A recent clinical evaluation of a mobile dark adaptation (DA) app in older adults with and without AMD showed that smartphone-based DA measurements are feasible, repeatable, and strongly correlated with standard-of-care devices (AdaptDx).(9) Using a novel metric—the area under the dark adaptation curve (AUDAC)—the app’s DA values were highly correlated with clinic-based RIT (rod intercept time) and AUDAC measures after adjusting for age.(9) The app could differentiate AMD eyes from age-similar controls, suggesting that remote DA monitoring is clinically meaningful.(9)

This demonstrates that key functional biomarkers relevant to AMD can be measured at home with consumer hardware, opening the door for digital companions to track disease-relevant metrics alongside coaching and adherence support.

Industry-Backed Retinal Companion Apps

Digital health companies have begun launching companion apps for retinal diseases. In 2024, a collaboration between Temedica and Roche introduced a digital companion app for patients with neovascular AMD and diabetic macular edema, aimed at supporting treatment adherence, symptom tracking, and education around intravitreal therapy.(10) While peer-reviewed data are still limited, such initiatives illustrate growing interest in condition-specific digital companions that could be extended to dry AMD and geographic atrophy.

Design Implications for an AMD Digital Companion

Synthesizing cross-condition evidence suggests several design principles for a digital AMD companion (especially for older adults with visual impairment):

• Multimodal interface: Combine a voice-first interface (for low vision and motor limitations) with simplified touch options and large fonts for those comfortable with touchscreens.(5,9,11)
• Evidence-based behavioral engine: Implement a behavior change framework similar to the Healthentia multiagent system, mapping AMD-specific behaviors (supplement adherence, appointment attendance, self-monitoring) to tailored coaching strategies and nudges.(3,8)
• Tight integration with care: Ensure the digital companion is “prescribed” and endorsed by clinicians; evidence from DHT adherence shows that involvement of trusted health professionals and caregivers significantly improves engagement.(1,3,5)
• Focus on emotional and cognitive outcomes: For older adults, digital coaching reliably improves distress, depression, and digital health literacy even when short-term behavior change is modest; AMD companions should explicitly include modules for anxiety, low-vision adjustment, and digital literacy building.(4,6,7,11)
• Objective and subjective metrics: Combine home-based functional tests (for example DA, contrast sensitivity proxies), symptom diaries, and self-reported adherence with device logs to create a composite picture of engagement and outcomes.(2,3,9,10)
• Caregiver channel: Given evidence that caregiver activation improves DHT adherence, offer caregiver dashboards, alerts, and co-accounts to support medication and supplement adherence in patients with cognitive or functional limitations.(1,5,11)

Conclusion

Digital health coaching and intelligent companions are increasingly recognized as valuable adjuncts in chronic disease management, with consistent evidence for improved health literacy, psychological well-being, and, in some settings, substantial gains in medication adherence. For older adults with chronic eye diseases such as AMD, voice-based assistants, personalized digital coaching frameworks, and home monitoring apps together provide a toolkit that can be tailored to visual and functional limitations. While rigorous long-term outcome data in ophthalmology are still emerging, cross-condition findings and early retinal-specific tools suggest that carefully designed digital companions—grounded in behavior change science and integrated with clinical care—can play a meaningful role in supporting adherence, monitoring, and quality of life for this population.

This article is for educational purposes only and reflects current scientific literature at the time of writing.

References

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