Optimizing Exposure Therapy for Pathological Health Anxiety: Considerations From the Inhibitory Learning Approach

Abstract

Exposure therapy has demonstrated its efficacy in the treatment of pathological health anxiety—however, psychotherapy research reveals that many patients do not show a clinically significant change. Therefore, improvements are necessary to optimize psychotherapy for pathological health anxiety. Most treatment rationales refer to habituation during exposure as the central mechanism of change. However, there is evidence that extinction learning is mediated by inhibitory learning processes. Targeting these processes may help to improve treatment outcomes in pathological health anxiety. The aim of this review was to adapt, from the inhibitory learning approach and empirical findings, the most promising strategies for the exposure-based treatment of pathological health anxiety. The exposure-optimizing strategies adapted are expectancy violation, combination, variability in contexts and stimuli, affect labeling, and removal of safety signals. A case example illustrates how to implement these methods for patients with pathological health anxiety.