Appl Clin Inform 2018; 09(04): 772-781
DOI: 10.1055/s-0038-1672138
Research Article
Georg Thieme Verlag KG Stuttgart · New York

Factors Influencing Sustained Engagement with ECG Self-Monitoring: Perspectives from Patients and Health Care Providers

Meghan Reading
1  Division of Health Informatics, Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University, New York, New York, United States
,
Dawon Baik
2  School of Nursing, Columbia University, New York, New York, United States
,
Melissa Beauchemin
2  School of Nursing, Columbia University, New York, New York, United States
,
Kathleen T. Hickey
2  School of Nursing, Columbia University, New York, New York, United States
,
Jacqueline A. Merrill
2  School of Nursing, Columbia University, New York, New York, United States
3  Department of Biomedical Informatics, Columbia University, New York, New York, United States
› Author Affiliations
Funding M.R. is supported by the National Institute of Nursing Research (NINR; F31NR017313) and Jonas Center for Nursing Excellence. D.B. and M.B. are supported by NINR (T32NR007969). K.T.H. is supported by NINR (R01NR014853).
Further Information

Publication History

09 May 2018

19 August 2018

Publication Date:
10 October 2018 (online)

Abstract

Background Patient-generated health data (PGHD) collected digitally with mobile health (mHealth) technology has garnered recent excitement for its potential to improve precision management of chronic conditions such as atrial fibrillation (AF), a common cardiac arrhythmia. However, sustained engagement is a major barrier to collection of PGHD. Little is known about barriers to sustained engagement or strategies to intervene upon engagement through application design.

Objective This article investigates individual patient differences in sustained engagement among individuals with a history of AF who are self-monitoring using mHealth technology.

Methods This qualitative study involved patients, health care providers, and research coordinators previously involved in a randomized, controlled trial involving electrocardiogram (ECG) self-monitoring of AF. Patients were adults with a history of AF randomized to the intervention arm of this trial who self-monitored using ECG mHealth technology for 6 months. Semistructured interviews and focus groups were conducted separately with health care providers and research coordinators, engaged patients, and unengaged patients. A validated model of sustained engagement, an adapted unified theory of acceptance and use of technology (UTAUT), guided data collection, and analysis through directed content analysis.

Results We interviewed 13 patients (7 engaged, 6 unengaged), 6 providers, and 2 research coordinators. In addition to finding differences between engaged and unengaged patients within each predictor in the adapted UTAUT model (perceived ease of use, perceived usefulness, facilitating conditions), four additional factors were identified as being related to sustained engagement in this population. These are: (1) internal motivation to manage health, (2) relationship with health care provider, (3) supportive environments, and (4) feedback and guidance.

Conclusion Although it required some modification, the adapted UTAUT model was useful in understanding of the parameters of sustained engagement. The findings of this study provide initial requirement specifications for the design of applications that engage patients in this unique population of adults with AF.

Protection of Human and Animal Subjects

This study received approval from the Institutional Review Board at Columbia University Medical Center.


Supplementary Material