Preventing Health Emergencies with Adherence Analysis
CuePath measures medication adherence with greater accuracy compared to the standard methods employed by pharmacies and the medical community at large. Because CuePath monitors adherence in real-time, its unique data-set enables it to analyze adherence in deeper, more meaningful ways. CuePath alerts caregivers to behavioral anomalies that signal a change in health. These changes would otherwise go unnoticed. It enables caregivers to respond in appropriate ways, so they can slow the progression of disease, track cognitive decline, and prevent adverse medical events like falls or strokes.
CuePath determines a client’s adherence score by calculating the doses taken over the measurement period (7 and 30 days) as a percentage of the total number of doses prescribed, rather than the standard method of measuring Proportion of Days Covered (PDC). The 30-day score of 96.0%, for instance, means that for all of the prescribed doses available over the trailing 30 days, the client took the doses correctly 96.0% of the time. CuePath’s method adds a level of accuracy and timeliness to the measurement.
We correlate the adherence results with our Consistency Index (CI), that looks at the variability in the time that a dose is taken within a window (late, early and wrong doses) before the dose is considered missed. Our Consistency Index is like a magnifying glass allowing us to examine subtle behavioral changes in near real-time. It acts as a predictive indicator of non-adherent behavior. CI analysis is unavailable anywhere else in the world.
Further to this, we begin the adherence analysis process with our proprietary Medication Safety Assessment (MSA). The MSA identifies the individual safety risk levels for each client and informs caregivers of the potential acuity of the problem. This shows clinical rigor to get a much better, or more holistic understanding of the client’s medication management behaviors. This safety assessment also provides us a baseline from which all other measurements are compared.
By analyzing adherence and consistency in real-time, CuePath can detect changes in behavior that may indicate the beginning of a health problem. It can alert caregivers to deal with the problems before they result in more serious adverse health events, such as falls or stroke.