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How to apply scientific theory to drive patient adherence

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danielle

Strategic Operations @ Affective Health

At Affective.health, we are proud that the foundation of our Digital Experience Platform (DXP) is based on scientific theories. This foundation allows us to collect the best data possible. Read more about the scientific foundation we have applied to drive better results.

Shift Patient Behavior

An article published by the University of Pennsylvania School of Medicine and Nursing concluded that “public health and health-promotion interventions that are based on social and behavioral science theories are more effective than those lacking a theoretical base.” (Glanz & Bishop, 2010)

The programs built on Affective.health’s DXP are designed to shift a participant’s behavior to increase adherence to their prescribed therapy. In the case of Philips, we saw a 10% increase in adherence, providing cost savings in the millions of dollars.

Application of Models

Affective.health believes like the article states that “long-term changes in health behavior involve multiple actions and adaptations over time. Some people may not be ready to attempt changes, whereas others may have already begun implementing changes in their smoking, diet, activity levels, etc.” (Glanz & Bishop, 2010)

The use of models and measures is a key factor in Affective.health programs. Our measurement ability allows us to see where a patient-consumer is at in that moment of time. This can be used to design risk stratification of patient-consumer behavior and to promote self-awareness in the participant as a coaching technique.

“Stages of change is a heuristic model that describes a sequence of steps in successful behavior change: pre-contemplation (no recognition of need for or interest in change), contemplation (thinking about changing), preparation (planning for change), action (adopting new habits), and maintenance (ongoing practice of new, healthier behavior)” (Glanz & Bishop, 2010).

The models Affective.health has designed are based on empirical and/or applied evidence of their impact on behavior change. As stated above, participants can be in many stages of change. Our models classify and categorize these stages. Using models such as self-efficacy, self-determination theory, and subjective well-being, Affective.health’s programming is more effective and provides more profound results.

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