A big data-driven eHealth approach to prevent, detect, and reduce atherosclerotic cardiovascular disease burden

Funding Acknowledgements

Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Netherlands Organisation for Scientific Research (NWO)

eHealth is a promising tool to support citizens and patients to reduce their risk of future atherosclerotic vascular disease (ASCVD). Currently, many eHealth initiatives are developed, however their use is limited. To improve the adoption of eHealth initiatives, personalization is needed according to preferences and understanding of the individual. Together with stakeholders, we used the design thinking method to create a dream user-scenario for an eHealth solution to improve cardiovascular outcomes. This point-of-view shows the essential concepts of such an eHealth initiative and focuses on scientific solutions and the most important challenges faced during its development.

In the user-scenario a federated data infrastructure collects distributed medical and non-medical data from different organizations, while ensuring maximal privacy. This data, that is currently not available, is used in a screening model to identify citizens with an increased risk for ASCVD. Citizens at risk are offered the use of an eCoach, which is connected to a counterfactual prediction model to calculate a residual risk for hypothetical interventions. This risk is visualized in a personalized way to support the shared decision making process of personalized lifestyle and healthcare goals. eHealth modules, integrated in the eCoach, encourages the patient in achieving these goals. Relevant outcomes are monitored and are used to adjust the intensity of the modules and follow-up accordingly. To realize this federated data infrastructure, an ethical and legal framework should be developed to ensue responsible data handling.

Process evaluation of physical activity counselling with and without the use of mobile technology: A mixed methods study

BACKGROUND

A monitoring-and-feedback tool was developed to stimulate physical activity by giving feedback on physical activity performance to patients and practice nurses. The tool consists of an activity monitor (accelerometer), wirelessly connected to a Smartphone and a web application. Use of this tool is combined with a behaviour change counselling protocol (the Self-management Support Programme) based on the Five A's model (Assess-Advise-Agree-Assist-Arrange).

OBJECTIVES

To examine the reach, implementation and satisfaction with the counselling protocol and the tool.

DESIGN

A process evaluation was conducted in two intervention groups of a three-armed cluster randomised controlled trial, in which the counselling protocol was evaluated with (group 1, n=65) and without (group 2, n=66) the use of the tool using a mixed methods design.

SETTINGS

Sixteen family practices in the South of the Netherlands.

PARTICIPANTS

Practice nurses (n=20) and their associated physically inactive patients (n=131), diagnosed with Chronic Obstructive Pulmonary Disease or Type 2 Diabetes, aged between 40 and 70 years old, and having access to a computer with an Internet connection.

METHODS

Semi structured interviews about the receipt of the intervention were conducted with the nurses and log files were kept regarding the consultations. After the intervention, questionnaires were presented to patients and nurses regarding compliance to and satisfaction with the interventions. Functioning and use of the tool were also evaluated by system and helpdesk logging.

RESULTS

Eighty-six percent of patients (group 1: n=57 and group 2: n=56) and 90% of nurses (group 1: n=10 and group 2: n=9) responded to the questionnaires. The execution of the Self-management Support Programme was adequate; in 83% (group 1: n=52, group 2: n=57) of the patients, the number and planning of the consultations were carried out as intended. Eighty-eight percent (n=50) of the patients in group 1 used the tool until the end of the intervention period. Technical problems occurred in 58% (n=33). Participants from group 1 were significantly more positive: patients: χ(2)(2, N=113)=11.17, p=0.004, and nurses: χ(2)(2, N=19)=6.37, p=0.040. Use of the tool led to greater awareness of the importance of physical activity, more discipline in carrying it out and more enjoyment.

CONCLUSIONS

The interventions were adequately executed and received as planned. Patients from both groups appreciated the focus on physical activity and personal attention given by the nurse. The most appreciated aspect of the combined intervention was the tool, although technical problems frequently occurred. Patients with the tool estimated more improvement of physical activity than patients without the tool.

Technology combined with a counseling protocol to stimulate physical activity of chronically ill patients in primary care

An iterative user-centered design method was used to develop and test mobile technology (the It's LiFe! tool/monitor) embedded in primary care, followed by a three months feasibility study with 20 patients and three nurses. The tool consists of an accelerometer that transfers data to an app on a Smartphone, which is subsequently connected to a server. Physical activity levels are measured in minutes per day compared to pre-set activity goals, which are set by patients in dialogue with nurses. Nurses can monitor patients' physical activity via a secured website. The counseling protocol is based on the Five A's model and consists of a limited number of behavior change consultations intertwined with interaction with and responses from the tool. The technology supports nurses when performing physical activity counseling. Provided that no connectivity problems occur, the It's LiFe! intervention is feasible, and its longitudinal effects will be tested in a cluster RCT.