Jane M Simoni1, Keshet Ronen2, Frances M Aunon3. 1. Department of Psychology, University of Washington, 3909 Stevens Way NE, Box 351525, Seattle, WA, 98195, USA. jsimoni@uw.edu. 2. Department of Global Health, University of Washington, 325 9th Avenue, Box 359931, Seattle, WA, 98104, USA. 3. Department of Psychology, University of Washington, 3909 Stevens Way NE, Box 351525, Seattle, WA, 98195, USA.
Abstract
PURPOSE OF REVIEW: Optimal design and evaluation of eHealth interventions requires the specification of behavioral targets and hypothesized mechanisms of action-both of which can be enhanced with the use of established health behavior theories (HBTs). In this paper, we describe the major HBTs and examine their use in studies of eHealth interventions for HIV prevention and treatment and assess the contribution of HBT in developing and evaluating eHealth interventions. RECENT FINDINGS: Based on our review of the literature, we argue the field can benefit from more systematic selection, application, and reporting of HBT. We highlight theories specifically designed for eHealth and describe ways that HBT can be used by researchers and practitioners to improve the rigor and impact of eHealth interventions for individuals living with or at risk for HIV. This brief overview of HBTs and their application to eHealth intervention in HIV research has underscored the importance of a theoretically intentional approach. The theory should be used to inform the design of the eHealth intervention; the intervention should not determine the theory. A theory-driven iterative model of eHealth intervention development may not only improve our repertoire of effective strategies but also has the potential to expand our theoretical and empirical knowledge of health behavior change.
PURPOSE OF REVIEW: Optimal design and evaluation of eHealth interventions requires the specification of behavioral targets and hypothesized mechanisms of action-both of which can be enhanced with the use of established health behavior theories (HBTs). In this paper, we describe the major HBTs and examine their use in studies of eHealth interventions for HIV prevention and treatment and assess the contribution of HBT in developing and evaluating eHealth interventions. RECENT FINDINGS: Based on our review of the literature, we argue the field can benefit from more systematic selection, application, and reporting of HBT. We highlight theories specifically designed for eHealth and describe ways that HBT can be used by researchers and practitioners to improve the rigor and impact of eHealth interventions for individuals living with or at risk for HIV. This brief overview of HBTs and their application to eHealth intervention in HIV research has underscored the importance of a theoretically intentional approach. The theory should be used to inform the design of the eHealth intervention; the intervention should not determine the theory. A theory-driven iterative model of eHealth intervention development may not only improve our repertoire of effective strategies but also has the potential to expand our theoretical and empirical knowledge of health behavior change.
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