Better Understanding the Metamorphosis of Pregnancy (BUMP) (BUMP)

Better Understanding the Metamorphosis of Pregnancy

Pregnancy is a commonly occurring medical event. Women who are pregnant may experience pregnancy-related symptoms and complications. However, there is a relative lack of multi-dimensional data on large populations of pregnant patients.

The Study Investigators aim to derive novel insights and deeper understanding of maternal physiology and pathology through the analysis of an unprecedented breadth and depth of data collected from connected devices (i.e., wearables, smart home scale, mobile apps, etc.), additional virtual study assessments and support calls, and information derived from standard of care clinical visits. They will share these insights to empower patients to better care for themselves.

The Investigators hope to know how leveraging the data collected from connected devices in addition to information obtained from routine clinical care helps researchers and clinicians better understand pregnancy related symptoms, conditions, and complications.

Study Overview

• Status: Completed
• Conditions: Pregnancy Related; Wearables; Pregnancy Early

Detailed Description

During pregnancy a woman may experience symptoms that are specific to being pregnant, including nausea, fatigue, shortness of breath, insomnia etc. to much more complicated and serious symptoms. While pregnancy is a commonly occurring medical event that poses health risks to the pregnant woman and fetus, there is limited research on how to prevent and treat symptoms before they become higher risk complications. Utilizing mHealth technology for the collection of objective and subjective measurements and the integration of passive data (from connected devices) will increase understanding of pregnancy and subsequent complications and symptoms as indicative or predictive of particular outcomes.

In order to mitigate the risks of pregnancy, pregnant women are monitored closely and frequently through periodic in-clinic visits with their clinician. However, little is known about the progression of symptoms and measurements between clinic visits as continuous data is not collected as part of clinical practice.

Symptom trajectories have been historically characterized by sporadic visible data, insufficient to identify transition points. Visible data points are episodic and may (or may not) be captured by monthly clinical assessments during pregnancy, but invisible data points can be captured and more clearly defined through the use of longitudinal, passive data collection by wearing and connecting devices.

The Study Investigators aim to detect individual symptom transitions and shift trajectories of health to those which cannot be confined to the standard office clinical visit. They have selected devices which may help track the symptoms including The Oura Ring, the Garmin Venu Sq and the Bodyport scale. The study will follow women anticipating becoming pregnant and those pregnant up to and including 15 weeks.

• Study Type: Observational
• Enrollment (Actual): 712

Contacts and Locations

• Study Contact: Name: Stephen Friend, PhD, MD; Phone Number: 215-421-3073; Email: friend@4youandme.org
• Study Contact Backup: Name: Diane Mackenzie; Email: diane@4youandme.org

Study Locations

• United States
  • Washington
    • Seattle, Washington, United States, 98121
      • 4YouandMe

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes

• Sampling Method: Non-Probability Sample

Study Population

The pre-pregnancy cohort involves tracking symptoms in women anticipating to become pregnant. The pregnancy cohort involves tracking symptoms during pregnancy

Description

Inclusion Criteria:

• Pregnant (up to and including 15 weeks) (Pregnancy cohort)
• Anticipating to be pregnant (Pre-pregnancy cohort)
• 18+ years (Pregnancy cohort)
• 18-40 years (Pre-pregnancy cohort)
• Has a personal cell phone that is an iPhone SE or newer or an Android device, version 6.0 or newer, and is willing to upgrade to the most recent operating system and use their phone for study (This includes a willingness to download and use the study applications and sync their phone with the necessary study devices)
• Has an unshared email address
• Proficient in English language

Exclusion Criteria:

• Prisoner
• Unable to read or understand the study materials
• Does not have a permanent address
• Intention to terminate pregnancy at the time of enrolment

Study Plan

How is the study designed?

Design Details

• Observational Models: Cohort
• Time Perspectives: Prospective

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort
Pregnant Cohort; Pregnant (up to and including 15 weeks), 18+ years of age.
Pre-pregnancy Cohort; Anticipating to be pregnant, 18-40 years of age.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Study retention	Proportion of participants completing the study Completion of 70% of data collection points (active tasks, surveys) per study participant. Correlations between objective sensor data with active measurements of pregnancy symptoms	3-22 months
Wearable device adherence	Average wearable device usage over study follow-up	3-22 months
App-based active task/survey adherence	Average daily active task and survey completion over study follow-up	3-22 months

Collaborators and Investigators

• Sponsor: 4YouandMe
• Collaborators: Cambridge Cognition Ltd; Sema4; Evidation Health; Vector Institute of Artificial Intelligence; Bodyport Inc.; Community Health Center, Inc.
• Investigators: Principal Investigator: Stephen Friend, PhD, MD, 4YouandMe

Study record dates

Study Major Dates

• Study Start (Actual): February 23, 2021
• Primary Completion (Actual): July 3, 2023
• Study Completion (Actual): July 3, 2023

Study Registration Dates

• First Submitted: January 8, 2021
• First Submitted That Met QC Criteria: January 14, 2021
• First Posted (Actual): January 20, 2021

Study Record Updates

• Last Update Posted (Actual): August 7, 2023
• Last Update Submitted That Met QC Criteria: August 3, 2023
• Last Verified: August 1, 2023

More Information

Terms related to this study

• Keywords: Pregnancy; Wearables
• Other Study ID Numbers: 4UBUMP01

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: YES
• IPD Plan Description: Under the 4YouandMe open source model, we will make all data, findings, digital health applications and algorithms available in the public domain. Accordingly, de-identified data produced from this project will be shared broadly with qualified researchers through Sage Bionetworks Synapse Only data from consenting participants will be shared through Sage Bionetworks Synapse and this will not include video diary data, relative location data or social media data. Additionally, source code for the developed app will be made available as open source software on GitHub so it can be evolved for future work by others. Our coalition partners that will have access to all coded data include Vector, 4YouandMe, Evidation Health and Sema4, while our collaboration partners (Bodyport and Cambridge Cognition) will have access to subsets of the coded study data not including video diary data, relative location data, or social media data.
• IPD Sharing Time Frame: Internal researchers will have access to all coded data during the full duration of the study. Consented participants' coded data will be available in the Synapse at Sage Bionetworks for selected researchers to access indefinitely, one year after study completion.
• IPD Sharing Access Criteria: We will combine the coded study data from all the study participants. Subsets of the coded study data will be made accessible to researchers according to a tiered permission: Internal Researchers (Vector Institute, Evidation Health, and Sema4) will have access to all coded data during the full duration of the study. Collaboration Partners (CamCog and Bodyport) may be given access to a subset of coded data streams, with the exclusion of the video diary, any location data, and any social network data, quarterly during the data collection period. Each partner will additionally have the data collected by their respective system (e.g. Garmin will access data collected off the Garmin device). The research queries being conducted on the coded data is limited to the study of emesis, gait, cognition, preeclampsia, depression/anxiety, edema, sleep/stress and social wellbeing.
• IPD Sharing Supporting Information Type: STUDY_PROTOCOL; SAP; ICF; ANALYTIC_CODE

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No