Tackling the underlining psychological issues is the key to achieving sustainable behavioural change and this is the key to ultimately increase quality of live.
Most acquired cardiac diseases are strongly influenced by lifestyle behaviour. In particular, physical fitness, daily physical activity levels, dietary habits, stress, anxiety and depression levels are strongly related to the occurrence, clinical course and overall treatment results of coronary artery disease (CAD) and atrial fibrillation (AF). Previous studies showed that quality of life often is not improved after major cardiac interventions and persistent unhealthy life style behaviour may impair the clinical course. Despite this knowledge, lifestyle/rehabilitation interventions are not well integrated in current care pathways. Particularly, in patients with chronic cardiac disease, such as AF and stable CAD, participation in cardiac rehabilitation/structured lifestyle interventions is very low, despite clear guideline recommendations in these diagnose groups. Barriers for participation include patient-related factors (eg transport difficulties, dependency on caregivers, working obligations), low endorsement by health care professionals and, at the institutional level, limited facilities and resources. Also, the current CR model that typically consists of group sessions in the hospital with a strong emphasis on exercise training, may not be appealing for certain subgroups (e.g. women, elderly patients, patients with lower educational levels, lower digital literacy and lower exercise capacity). Therefore, there is a strong need for appealing personalized lifestyle interventions for patients with chronic cardiac disease that can be easily implemented without putting a large a burden on health care professionals and hospital resources.
The impact of Greenhabit on the cardiovascular burden of disease is an improvement of quality of life due to improvement of lifestyle behavior and a reduction of cardiac re-events. This improvement has also a positive effect on work absenteeism.
Underlying Methods:
– brain learning techniques (Sousa, 2017)
– Behavior Change Wheel (Michie, 2011)
– Behavioral Change Techniques (Cognitive Behavioral Therapy)
-Artificial Intelligence -development of new habits (Phillippa laly, 2009)
Unique
Greenhabit identifies the need of patients based on the cause of unhealthy behaviour with help of measurements. ((behavioural and activity) These needs are translated into personalized treatment for the patient based on artificial intelligence. The challenges, E-learnings and content help solve the issues of the patient. Registration of Physical measurements detect the effectiveness of the treatment and interacts with the algorithm. And our Intervention/ Dashboard is very scalable. The training package with book and rewards provides extra motivation and the buddy system ensures connection with others.
Technology
Greenhabit uses scientific behavioural change models to help people make healthy choices and learn new habits.
Results
Greenhabits science based, behavioural change treatment has shown that small changes can lead to enormous improvements in people’s health and life expectancy. This intervention will be an important add-on for patients and caregivers after elective cardiac interventions to achieve durable lifestyle improvement, resulting in substantial cost savings by reducing re-events and decreasing societal costs due to a reduction in absenteeism from work .
– +5.500 participants
– 4 languages
– 85% retention (participants who finished the 12-week program)
– 72% can positively influence their mindset
– 69,2% have lost weight
– 84,1% exercise more
– 56% eat healthier
– 74% experience more energy
– 76% can handle stress better
