The role of support and sustainability elements in the adoption of an online self-management support system for chronic illnesses

Factors Predicting Older People's Acceptance of a Personalized Health Care Service App and the Effect of Chronic Disease: Cross-Sectional Questionnaire Study

BACKGROUND

Mobile health (mHealth) services enable real-time measurement of information on individuals' biosignals and environmental risk factors; accordingly, research on health management using mHealth is being actively conducted.

OBJECTIVE

The study aims to identify the predictors of older people's intention to use mHealth in South Korea and verify whether chronic disease moderates the effect of the identified predictors on behavioral intentions.

METHODS

A cross-sectional questionnaire study was conducted among 500 participants aged 60 to 75 years. The research hypotheses were tested using structural equation modeling, and indirect effects were verified through bootstrapping. Bootstrapping was performed 10,000 times, and the significance of the indirect effects was confirmed through the bias-corrected percentile method.

RESULTS

Of 477 participants, 278 (58.3%) had at least 1 chronic disease. Performance expectancy (β=.453; P=.003) and social influence (β=.693; P<.001) were significant predictors of behavioral intention. Bootstrapping results showed that facilitating conditions (β=.325; P=.006; 95% CI 0.115-0.759) were found to have a significant indirect effect on behavioral intention. Multigroup structural equation modeling testing the presence or absence of chronic disease revealed a significant difference in the path of device trust to performance expectancy (critical ratio=-2.165). Bootstrapping also confirmed that device trust (β=.122; P=.039; 95% CI 0.007-0.346) had a significant indirect effect on behavioral intention in people with chronic disease.

CONCLUSIONS

This study, which explored the predictors of the intention to use mHealth through a web-based survey of older people, suggests similar results to those of other studies that applied the unified theory of acceptance and use of technology model to the acceptance of mHealth. Performance expectancy, social influence, and facilitating conditions were revealed as predictors of accepting mHealth. In addition, trust in a wearable device for measuring biosignals was investigated as an additional predictor in people with chronic disease. This suggests that different strategies are needed, depending on the characteristics of users.

An Intervention Offering Self-management Support Through mHealth and Health Coaching to Patients With Prostate Cancer: Interpretive Description of Patients’ Experiences and Perspectives

Background

Observational management strategies such as active surveillance and watchful waiting are considered to be acceptable approaches in patients with low-risk localized prostate cancer and a safe alternative to aggressive treatment. During observational management, treatment is postponed until the disease progresses, which often never occurs. However, approximately 90% of patients with a low-risk disease choose aggressive treatment owing to anxiety. Strategies to address anxiety are needed for optimal management of this population and to improve the quality of life of patients with low-risk localized prostate cancer. A review highlighted that mobile health (mHealth) in tandem with health coaching can support patients’ self-management of health behaviors and improve well-being.

Objective

This study aims to explore patients’ experiences with and perspectives on an intervention offering self-management support through the use of mHealth devices and health coaching to identify supportive features that enable patients to perform sustainable changes that improve well-being.

Methods

We used an interpretive description approach, combining semistructured interviews with 13 purposively selected patients with prostate cancer and participant observations of patient-coach interactions in coaching sessions. The interviews were transcribed and analyzed. The self-determination theory was used as a theoretical lens. Field notes and coaching notes from each session were used to orient data generation and confirm or challenge the analysis.

Results

Our analysis suggested that patients’ self-awareness and psychological identity influenced their experiences with and perspectives on the self-management support offered by mHealth and health coaching in clinical practice. The patients’ individual experiences and perspectives indicated that they placed themselves in a dynamic continuum of sustaining or repressing their identity, self-awareness, and individual qualities. Our analysis revealed 4 interacting themes, all related to the psychological identity of the patients.

Conclusions

For the group of patients with prostate cancer to experience well-being, we found it important for them to sustain their self-image when offered a self-management intervention. Motivation and autonomy were important aspects for the individual patients to sustain their self-image throughout the intervention. In contrast, demotivation and a sense of paternalism could result in fostering an experience of having to repress self-awareness.

A framework for patient-centered telemedicine: Application and lessons learned from vulnerable populations

Virtual technologies can facilitate clinical monitoring, clinician-patient interactions, and enhance patient-centered approaches to healthcare delivery. Telemedicine, two-way communication between a healthcare provider and a patient not in the same physical location, emphasizes patient preference and convenience by substituting the transportation of patients with information transfer. We present a framework for implementation of a comprehensive, dynamic, patient-centered telemedicine network deployed in 12 opioid treatment programs (OTP) located throughout New York State (NYS). The program aims to effectively manage hepatitis C virus (HCV) infection via telemedicine with co-administration of HCV and substance use medications. We have found that the Sociotechnical System model with emphasis on patient-centered factors provides a framework for telemedicine deployment and implementation to a vulnerable population. The issue of interoperability between the telemedicine platform and the electronic health record (EHR) system as well as clinical information retrieval for medical decision-making are challenges with implementation of a comprehensive, dynamic telemedicine system. Targeting telemedicine to a vulnerable population requires additional consideration of trust in the security and confidentiality of the telemedicine system. Our contribution is the valuable lessons learned from implementing a comprehensive, dynamic, patient-centered telemedicine system among an OTP network throughout NYS as applied to a vulnerable population that can be generalized to other difficult-to-reach populations.

An online mobile/desktop application for supporting sustainable chronic disease self-management and lifestyle change

Health self-management has become a new trend in healthcare management due to its effectiveness in improving patient health, quality of life, and life satisfaction and simultaneously reducing the cost of care. To evaluate the potential of mobile health, we developed an online health self-management system for mobile or desktop environment to help patients self-manage their health in home settings. Certain elements (e.g. education, entertainment, and rewards) were built into the system to encourage patients to both adopt and continue using it. The system was shown to two groups of patients: an Internet-panel group of 198 patients with one or more serious chronic illnesses and 83 peripheral arterial disease patients in an in-person study group. A statistical model based on Unified Theory of Acceptance and use of Technology in a consumer context was used to analyze the results. The results from both groups confirmed that such systems, from the perspectives of patients (in a "pre-use" stage), are useful, beneficial, and rewarding to use.