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The study examines women’s acceptance intentions for generative AI–based digital therapeutics (DTx) intended for prevention and management, treatment, and medication optimization.
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2
DTx are software-delivered, evidence-based therapeutic devices designed to prevent, manage, or treat disease and enable patients to participate in automated therapeutic processes.
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3
The authors frame women’s social and temporal constraints, including caregiving responsibilities, as a context that may shape technology-acceptance judgments.
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4
The study uses a two-stage higher-order component model to examine how purpose-specific acceptance perceptions combine into an overarching acceptance structure.
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5
The authors distinguish usefulness tied to therapeutic purposes from usefulness associated with general technologies or modalities.
