This analysis identifies barriers to adopting new behavior change frameworks in digital health interventions, suggesting improved design may enhance empirical evidence and adoption.
Background New behavior change theories, models, and frameworks (TMFs) to support digital behavior change interventions have been called for and are emerging, but low reported usage impedes progress in the field. Aims and objectives This study aims to highlight key barriers to the implementation of digital-focused TMFs and provide recommendations to mitigate these barriers. Methods The adoption of seven novel TMFs designed for digital behavior change interventions was analyzed based on the number of citations and the number of interventions developed using the TMFs, in comparison with the longer-established behavior change wheel (BCW) framework. Results The uptake of the novel TMFs appears slow compared to the well-established and commonly used BCW framework, even when accounting for the recentness of the novel TMFs. Potential barriers to adoption include a lack of awareness, insufficient empirical evidence, and challenges in operationalizing these models. Researchers creating these TMFs could mitigate these barriers by improving their design (e.g. by making them more adaptable) and reporting and developing, and testing interventions based on their TMFs to start building an evidence base. Conclusions and future research New TMFs with a focus on digital technologies have the potential to improve the efficacy and outcomes of digital behavior-change interventions, but their accessibility, evidence base, and reporting must improve to facilitate their adoption in intervention design. Further review work comparing the novel TMFs with traditional frameworks and a repository to guide researchers in framework selection could also help with faster uptake.
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Ananthakrishnan et al. (2025) studied this question.
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