Adherence to Behavioral Therapy for Migraine: Knowledge to Date, Mechanisms for Assessing Adherence, and Methods for Improving Adherence

Abstract

Purpose of Review

In other disease states, adherence to behavioral therapies has gained attention, with a greater amount of studies discussing, defining, and optimizing adherence. For example, a meta-analysis formally discussed adherence in 25 studies of CBT for 11 different disorders, with only 6 of the 25 omitting addressing or defining adherence. Many studies have discussed the use of text messages, graph-based adherence rates, and email/telephone reminders to improve adherence. This paper examined the available literature regarding adherence to behavioral therapy for migraine as well as adherence to similar therapies in other disease states. The goal of this research is to apply lessons learned from adherence to behavioral therapy for other diseases in better understanding how we can improve adherence to behavioral therapy for migraine.

Recent Findings

Treatment for migraine typically includes both pharmacologic and non-pharmacologic therapies, including progressive muscle relaxation (PMR), cognitive behavioral therapy (CBT), and biofeedback. Behavioral therapies have been shown to significantly reduce headache frequency and intensity, but high attrition rates and suboptimal adherence can undermine their efficacy. Traditionally, adherence to behavioral therapy has been defined by self-report, including paper headache diaries and assignments. In person attendance has also been employed as a method of defining and monitoring adherence. With the advent of personal electronics, measurements of adherence have shifted to include electronic-based methods such as computer-based programs and mobile-based therapies. Furthermore, some studies have taken advantage of electronic methods such as email reminders, push notifications, and other mobile-based reminders to optimize adherence. The JITA-I, a novel method of engaging individual patient adherence, has also been suggested as a possible method to improve adherence by tailoring engagement with a mobile health app-based on patient input. These novel methods may be utilized in behavioral therapy for migraine for further optimizing adherence.

Summary

Few intervention studies to date have addressed the optimal ways to impact adherence to migraine behavioral therapy. Further research is required regarding adherence with behavioral therapies, specifically via mobile health interventions to better understand how to define and improve adherence via this novel forum. Once we are able to understand optimal methods of tracking adherence, we will be better equipped to understand the role of adherence in shaping outcomes for behavioral therapy in migraine.

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