Methods and systems for improving therapy adherence

摘要

A system and method for improving adherence to therapy programs, in particular to adherence to medication therapy and/or to healthcare therapy, that includes medication therapy. Methods of the present invention may also be used to improve compliance with and/or adherence to other wellness and/or health care programs. Methods and systems of the invention may include methods of identifying patients who are at risk of non-adherence, non-compliance, or likelihood of cessation with a therapy program, predicting a basis for such noncompliance, and targeting interventions directed to patients who have been identified as likely to be non-compliant, wherein interventions take into consideration the predicted basis for noncompliance.

主权项

1. A method comprising:
accessing, on a processor, claims data associated with a patient; determining, on the processor, whether the patient is new to therapy to set a naïve component or is continuing therapy relative to a drug therapy program for a prescription drug to set an experienced component; determining, on the processor, a likelihood of the patient to continue the drug therapy program for the prescription drug using the claims data and using either the naïve component or the experienced component and a likelihood of the patient to comply with the drug therapy program for the prescription drug using the claims data and either the naïve component or the experienced component; calculating, on the processor, a likelihood of patient adherence of the patient with the prescription drug based on the likelihood of the patient to continue the drug therapy program and the likelihood of the patient to comply with the drug therapy program; determining, on the processor, where in an adherence range the likelihood of patient adherence falls using the claims data; and selecting, on the processor, a therapy adherence program likely to increase therapy adherence for the patient based on a determination of a location within the adherence range based at least in part on the naïve component or the experienced component.