Chung, Misook L


Research Group

Research and Interventions for Cardiovascular Health (RICH) Heart Program. RICH Heart Program offers a framework for data sharing, collaboration and idea generation for dozens of faculty researchers, collaborators, and students whose research interests are centered around cardiovascular and pulmonary health.

Current Project

Assessing Real-World Patient Engagement with mHealth App for improving Self-care and Heart Failure Outcomes: A Longitudinal Mixed-Method Approach

Introduction and Objectives

OnTrack to Health is a patient-centered, theory-based, mobile health (mHealth) app designed to promote self-care of heart failure that includes all the features known to enhance patient self-care. The usage data captured by OnTrack to Health are among the most complete data available anywhere in the world.

The purposes of this study are to determine a) how patient engagement with the features of OnTrack to Health changes over time, b) the patient characteristics, and app features that predict patient engagement with the app and c) whether patient engagement predicts time to first hospitalization, and d) themes in patient-provider communication.

Specific Aims:

  • To track changes in frequency, intensity, and time spent on each feature of OnTrack to Health (self-care activities, medication intake, general feeling questionnaire, patient educational content) over time after enrollment.
  • To determine whether patient demographic characteristics (age, gender, and rurality), clinical characteristics (ejection fraction, weight, and comorbidities), mobile device type, and the number of assigned self-care activities  predict longitudinal engagement with the app.
  • To determine whether the level of patient engagement independently predicts adherence to medications.
  • To determine whether the level of adherence to self-care activities independently predicts event-free survival (first all-cause hospitalization after receiving the app).
  • To identify themes in patient-provider communication via the secure messaging feature of OnTrack to Health.

 

Student:

Ifeanyi Madujibeya (PhD student), College of Nursing


Collaborators:

Misook Chung, PhD, RN, College of Nursing

Terry Lennie, PhD, RN, College of Nursing

Debra Moser, PhD, RN, College of Nursing

Ming-Yuan Chih, PhD, College of Health Sciences

Jamie Patzel , MD, CentraCare Health & Vascular Center; St Cloud, MN

OnTrack Health, Inc

 

Software:

R and Python (Pandas)


Grants:

None


Publications:

Center for Computational Sciences