Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum.
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Authors
Goodday, SM
Karlin, E
Brooks, A
Chapman, C
Kipping, E
Wildman, M
Francis, M
Greenman, H
Li, Li
Schadt, E
Goldenberg, A
Cormack, F
Taptiklis, N
Centen, C
Smith, S
Friend, S
Publication Date
2022-03-30Journal Title
NPJ Digit Med
ISSN
2398-6352
Publisher
Springer Science and Business Media LLC
Volume
5
Issue
1
Language
eng
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Goodday, S., Karlin, E., Brooks, A., Chapman, C., Karlin, D., Foschini, L., Kipping, E., et al. (2022). Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum.. NPJ Digit Med, 5 (1) https://doi.org/10.1038/s41746-022-00579-9
Description
Funder: 4YouandMe Sema4
Abstract
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.
Identifiers
35354895, PMC8967890
External DOI: https://doi.org/10.1038/s41746-022-00579-9
This record's URL: https://www.repository.cam.ac.uk/handle/1810/336663
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