A Study to Learn More About How a Smartphone App Called MyIUS Predicts Future Menstrual Bleeding in Women After They Have Begun Using Intrauterine Birth Control Method (a Birth Control Device is Inserted Into a Woman's Uterus by Her Doctor)

NCT ID: NCT04989595

Last Updated: 2025-03-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

3045 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-09-17

Study Completion Date

2024-02-27

Brief Summary

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Researchers are looking to learn more about future menstrual bleeding in women who have started using intrauterine contraception methods. "Intrauterine contraception" means that a device is inserted into a woman's uterus by her doctor. The device then releases a birth control treatment into the uterus.

Researchers have found that when women use intrauterine contraception, its effects on the menstrual cycle can cause changes to how often and for how long women will bleed. This is one of reasons women may stop using their intrauterine contraception.

So, the researchers in this study wanted to learn about a tool that can be used to predict future bleeding events. This tool was developed based on the results of previous clinical studies that researched menstrual bleeding. This tool is a smartphone application called MyIUS.

This study will include about 3,000 women who have recently had intrauterine contraception inserted and who use the MyIUS app.

There will be no visits with a study doctor in this study. After the intrauterine contraception has been inserted, the women will start to record any events of bleeding in the MyIUS app. After they have recorded events of bleeding for a total of 90 days, the MyIUS app will give a prediction of menstrual bleeding expected for the next 180 days. The women who sign the electronic informed consent form will continue to record their bleeding events for a total of 6 months.

The researchers will then collect this information. They will use this information to find out how well the MyIUS app can predict future menstrual bleeding.

Detailed Description

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The aim of this study is to demonstrate that the bleeding prediction algorithm which was developed and validated based on clinical trial data also works in a real-world setting.

Conditions

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Uterine Bleeding Profile Prediction

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Women_Kyleena

MyIUS app

Intervention Type DEVICE

Data will be self-reported by participants through the MyIUS app.

Women_Jaydess

MyIUS app

Intervention Type DEVICE

Data will be self-reported by participants through the MyIUS app.

Women_Mirena

MyIUS app

Intervention Type DEVICE

Data will be self-reported by participants through the MyIUS app.

Interventions

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MyIUS app

Data will be self-reported by participants through the MyIUS app.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Insertion of Kyleena, Jaydess, or Mirena IUS
* Female (of legal age to provide electronic informed consent (eIC)) using the MyIUS app
* Submitted eIC to use all data documented in the MyIUS app

Exclusion Criteria

\- None
Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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Bayer

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Many Locations

Many Locations, , Brazil

Site Status

Many Locations

Many Locations, , Denmark

Site Status

Many Locations

Many Locations, , Germany

Site Status

Many Locations

Many Locations, , Mexico

Site Status

Many Locations

Many Locations, , Spain

Site Status

Many Locations

Many Locations, , Sweden

Site Status

Countries

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Brazil Denmark Germany Mexico Spain Sweden

Related Links

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https://clinicaltrials.bayer.com/

Click here for access to information about Bayer's transparency standards and Bayer studies.

Other Identifiers

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21424

Identifier Type: -

Identifier Source: org_study_id

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