Patient Demographics and Clinic Type Are Associated With Patient Engagement Within a Remote Monitoring Program.

Area of Science:

• Digital Health
• Clinical Informatics
• Health Services Research

Background:

• Remote physiological monitoring (RPM) offers accessible, convenient, and cost-effective improvements in clinical outcomes.
• Effectiveness of RPM across different patient demographics and clinical settings remains unclear.

Purpose of the Study:

• To investigate associations between patient demographics, clinical settings, and engagement with a diabetes remote physiological monitoring program.
• To identify factors influencing data transmission and sustained patient engagement in RPM.

Main Methods:

• Prospective cohort study of 549 adults in a statewide diabetes RPM program for ≥12 months.
• Multivariable logistic regression models analyzed engagement (≥3 days/week data transmission) against age, gender, race, income, and clinic type.
• Models included interactions between demographic variables and time.

Main Results:

• Increasing age, academic clinic type, higher income, and shorter program duration predicted higher transmission engagement (p < 0.001).
• Race and gender were not significantly associated with transmission engagement (p = 0.729 and 0.237).

Conclusions:

• RPM is accessible for minority racial groups and older adults, but engagement is influenced by primary care setting and socioeconomic status.
• Findings inform future RPM study design, advocacy, and highlight the need for strategies to sustain engagement.