ArticleJMIR mHealth and uHealth2021
Voice Interface Technology Adoption by Patients With Heart Failure: Pilot Comparison Study.
Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Understanding Adherence to Digital Health Technologies: Systematic Review of Predictive Factors.Journal of medical Internet research · 2025Pooled it
- Engagement With Conversational Agent-Enabled Interventions in Cardiometabolic Disease Self-Management: Systematic Review.JMIR mHealth and uHealth · 2025Pooled it
- Voice recognition as an innovative method to identify and monitor heart failure - a review.Heart failure reviews · 2026Review
- Adherence to eHealth Interventions Among Patients With Heart Failure: Scoping Review.JMIR mHealth and uHealth · 2025Article
- Article
- AI Applications for Chronic Condition Self-Management: Scoping Review.Journal of medical Internet research · 2025Article
- Exploring Acceptance of Digital Health Technologies for Managing Non-Communicable Diseases Among Older Adults: A Systematic Scoping Review.Journal of medical systems · 2025Article
- Review
- Engagement With Conversational Agent-Enabled Interventions in Cardiometabolic Disease Management: Protocol for a Systematic Review.JMIR research protocols · 2024Article
- Evaluating the Potential and Pitfalls of AI-Powered Conversational Agents as Humanlike Virtual Health Carers in the Remote Management of Noncommunicable Diseases: Scoping Review.Journal of medical Internet research · 2024Article
- From Command to Care: A Scoping Review on Utilization of Smart Speakers by Patients and Providers.Mayo Clinic proceedings. Digital health · 2024Review
- Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review.Journal of medical Internet research · 2023Review
- Patients' Experiences Using a Mobile Health App for Self-Care of Heart Failure in a Real-World Setting: Qualitative Analysis.JMIR formative research · 2023Article
- A Voice App Design for Heart Failure Self-management: Proof-of-Concept Implementation Study.JMIR formative research · 2022Article
- Design of a Patient Voice App Experience for Heart Failure Management: Usability Study.JMIR formative research · 2022Article
- Characteristics of Smart Health Ecosystems That Support Self-care Among People With Heart Failure: Scoping Review.JMIR cardio · 2022Article
- A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence.International journal of environmental research and public health · 2022Review
- Measures of Engagement With mHealth Interventions in Patients With Heart Failure: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Article
- Evaluating preferences for colorectal cancer screening in individuals under age 50 using the Analytic Hierarchy Process.BMC health services research · 2021Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundHeart failure (HF) is associated with high mortality rates and high costs, and self-care is crucial in the management of the condition. Telehealth can promote patients' self-care while providing frequent feedback to their health care providers about the patient's compliance and symptoms. A number of technologies have been considered in the literature to facilitate telehealth in patients with HF. An important factor in the adoption of these technologies is their ease of use. Conversational agent technologies using a voice interface can be a good option because they use speech recognition to communicate with patients.
objectiveThe aim of this paper is to study the engagement of patients with HF with voice interface technology. In particular, we investigate which patient characteristics are linked to increased technology use.
methodsWe used data from two separate HF patient groups that used different telehealth technologies over a 90-day period. Each group used a different type of voice interface; however, the scripts followed by the two technologies were identical. One technology was based on Amazon's Alexa (Alexa+), and in the other technology, patients used a tablet to interact with a visually animated and voice-enabled avatar (Avatar). Patient engagement was measured as the number of days on which the patients used the technology during the study period. We used multiple linear regression to model engagement with the technology based on patients' demographic and clinical characteristics and past technology use.
resultsIn both populations, the patients were predominantly male and Black, had an average age of 55 years, and had HF for an average of 7 years. The only patient characteristic that was statistically different (P=.008) between the two populations was the number of medications they took to manage HF, with a mean of 8.7 (SD 4.0) for Alexa+ and 5.8 (SD 3.4) for Avatar patients. The regression model on the combined population shows that older patients used the technology more frequently (an additional 1.19 days of use for each additional year of age; P=.004). The number of medications to manage HF was negatively associated with use (-5.49; P=.005), and Black patients used the technology less frequently than other patients with similar characteristics (-15.96; P=.08).
conclusionsOlder patients' higher engagement with telehealth is consistent with findings from previous studies, confirming the acceptability of technology in this subset of patients with HF. However, we also found that a higher number of HF medications, which may be correlated with a higher disease burden, is negatively associated with telehealth use. Finally, the lower engagement of Black patients highlights the need for further study to identify the reasons behind this lower engagement, including the possible role of social determinants of health, and potentially create technologies that are better tailored for this population.
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