The Necessity-Concerns Framework: a Multidimensional Theory Benefits from Multidimensional Analysis

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Abstract

Background: Patients’ medication-related concerns and necessity-beliefs predict adherence. Evaluation of the potentially complex interplay of these two dimensions has been limited because of methods that reduce them to a single dimension (difference scores). Purpose: We use polynomial regression to assess the multidimensional effect of stroke-event survivors’ medication-related concerns and necessity beliefs on their adherence to stroke-prevention medication. Methods: Survivors (n = 600) rated their concerns, necessity beliefs, and adherence to medication. Confirmatory and exploratory polynomial regression determined the best-fitting multidimensional model. Results: As posited by the necessity-concerns framework (NCF), the greatest and lowest adherence was reported by those necessity weak concerns and strong concerns/weak Necessity-Beliefs, respectively. However, as could not be assessed using a difference-score model, patients with ambivalent beliefs were less adherent than those exhibiting indifference. Conclusions: Polynomial regression allows for assessment of the multidimensional nature of the NCF. Clinicians/Researchers should be aware that concerns and necessity dimensions are not polar opposites.

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Phillips, L. A., Diefenbach, M. A., Kronish, I. M., Negron, R. M., & Horowitz, C. R. (2014). The Necessity-Concerns Framework: a Multidimensional Theory Benefits from Multidimensional Analysis. Annals of Behavioral Medicine, 48(1), 7–16. https://doi.org/10.1007/s12160-013-9579-2

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