Adherence Patterns of Patients Using Remote Patient Management After Myocardial Infarction: Mixed Methods Persona...

Area of Science:

• Cardiovascular Medicine
• Digital Health
• Health Informatics

Background:

• Remote patient management (RPM) using smartphone-enabled health monitoring devices (SHMDs) is crucial for cardiovascular care.
• Patient adherence to RPM is highly variable, impacting treatment effectiveness.
• Personas can help tailor interventions for better patient engagement and outcomes.

Purpose of the Study:

• To develop data-driven personas for patients with myocardial infarction (MI).
• To understand adherence patterns and experiences with SHMDs in cardiovascular care.
• To inform personalized eHealth interventions for improved patient adherence.

Main Methods:

• Mixed methods design combining quantitative SHMD usage data (N=261) and qualitative semistructured interviews (N=16).
• Analysis of blood pressure, weight, and step count data over a one-year period.
• Cluster analysis of usage patterns and thematic analysis of patient interviews.

Main Results:

• Four distinct patient personas emerged: stiff starting, temporary persisting, loyally persisting, and negligent quitting.
• Higher adherence patterns correlated with better blood pressure control.
• Patient interviews provided insights into factors influencing adherence for each persona.

Conclusions:

• Four personas capture diverse adherence experiences in remote patient management for MI patients.
• Adherent usage patterns are linked to improved health outcomes like blood pressure and step count.
• These data-driven personas can guide the development of more effective, personalized eHealth interventions to enhance patient adherence.