Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum

<jats:title>Abstract</jats:title><jats:p>The Better Understanding the Metamorphosis of Pregnancy (BUMP) study is a longitudinal feasibility study aimed to gain a deeper understanding of the pre-pregnancy and pregnancy symptom experience using digital tools. The present paper descri...

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Bibliographic Details
Main Authors: Goodday, SM (Author), Karlin, E (Author), Brooks, A (Author), Chapman, C (Author), Karlin, DR (Author), Foschini, L (Author), Kipping, E (Author), Wildman, M (Author), Francis, M (Author), Greenman, H (Author), Li, Li (Author), Schadt, E (Author), Ghassemi, M (Author), Goldenberg, A (Author), Cormack, F (Author), Taptiklis, N (Author), Centen, C (Author), Smith, S (Author), Friend, S (Author)
Format: Article
Language:English
Published: Springer Science and Business Media LLC, 2022-06-22T17:10:35Z.
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Summary:<jats:title>Abstract</jats:title><jats:p>The Better Understanding the Metamorphosis of Pregnancy (BUMP) study is a longitudinal feasibility study aimed to gain a deeper understanding of the pre-pregnancy and pregnancy symptom experience using digital tools. The present paper describes the protocol for the BUMP study. Over 1000 participants are being recruited through a patient provider-platform and through other channels in the United States (US). Participants in a preconception cohort (BUMP-C) are followed for 6 months, or until conception, while participants in a pregnancy cohort (BUMP) are followed into their fourth trimester. Participants are provided with a smart ring, a smartwatch (BUMP only), and a smart scale (BUMP only) alongside cohort-specific study apps. Participant centric engagement strategies are used that aim to co-design the digital approach with participants while providing knowledge and support. The BUMP study is intended to lay the foundational work for a larger study to determine whether participant co-designed digital tools can be used to detect, track and return multimodal symptoms during the perinatal window to inform individual level symptom trajectories.</jats:p>