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Low Remote Patient Monitoring Utilization is Strongly Associated with Uncontrolled Hypertension in a Mixed-Race

John M Meddar1,2, Maria R Khan1, Mark Schwartz1

  • 1New York University Grossman School of Medicine, Department of Population Health, New York, United States, New York.

Applied Clinical Informatics
|June 5, 2026
PubMed

Insights

Low remote patient monitoring (RPM) use is strongly linked to uncontrolled blood pressure (BP) in hypertension management. Increasing RPM engagement is crucial for improving patient outcomes and supporting clinical guidelines.

Area of Science:

  • Cardiology
  • Digital Health
  • Public Health

Background:

  • The COVID-19 pandemic accelerated remote patient monitoring (RPM) adoption for hypertension (HTN) management.
  • Limited evidence exists on the relationship between RPM utilization frequency and uncontrolled blood pressure (BP).

Purpose of the Study:

  • To comprehensively explore the associations between RPM use frequency and uncontrolled BP in hypertensive patients.
  • To evaluate the impact of different RPM engagement metrics on BP control.

Main Methods:

  • Analysis of 2,920 participants from an urban health system.
  • Evaluation of RPM utilization metrics: BP transmission frequency, clinician interactions, patient portal use, and composite engagement.
  • Primary and secondary endpoints defined as BP >140/90 mmHg and BP >130/80 mmHg, respectively.

Main Results:

  • Suboptimal RPM use showed strong associations with uncontrolled BP (e.g., low BP transmission OR: 2.02, low overall engagement OR: 3.50).
  • Causal evaluations indicated moderate associations after adjusting for confounding factors.
  • Continuous and quartile analyses revealed significant associations and a potential dose-response relationship.

Conclusions:

  • Strong associations exist between low RPM utilization and uncontrolled BP.
  • Findings support strengthening digital inclusion, clinical practice guidelines, and reimbursement policies for RPM.
  • Further research is needed to understand engagement frequency's link to improved clinical outcomes.
Abstract

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