KGK Science Inc.
London, Ontario, N6B3L1, Canada
Location status: Recruiting
Location contact
David Crowley, MD
CONTACT
David Crowley, MD
PRINCIPAL_INVESTIGATOR
Marc Moulin, PhD
CONTACT
+12267819094;ext=300
NCT Number: NCT07022925
The goal of this observational study is to investigate the accuracy of the device in characterizing perimenopausal and menopausal symptoms including vasomotor symptoms, anxiety, sleep quality compared to self-reported symptoms via an app. The main question it aims to answer is:
What is the accuracy of the developed algorithm from the investigational device compared to daily self-report via an app in characterizing perimenopausal symptoms?
Participants will be asked to wear IndentifyHer's wearable non-invasive sensor and complete a daily electronic diary and questionnaires on stress, anxiety, and sleep.
Interested in participating?
Request Info35 year–55 year
Female
Observational
London, Ontario, N6B3L1, Canada
Location status: Recruiting
David Crowley, MD
CONTACT
David Crowley, MD
PRINCIPAL_INVESTIGATOR
Marc Moulin, PhD
CONTACT
+12267819094;ext=300
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Day 0 to 14
The accuracy of the developed algorithm from the investigational device compared to daily self-report questionnaire via an app in characterizing vasomotor symptoms. Questionnaire answers include "not at all" to "extremely".
Time frame: Day 0 to 14
The accuracy of the developed algorithm from the investigational device compared to daily self-report questionnaire via an app in characterizing anxiety. Questionnaire answers include "not at all" to "nearly everyday".
Time frame: Day 0 to 14
The accuracy of the developed algorithm from the investigational device compared to daily self-report questionnaire via an app in characterizing sleep quality. Questionnaire answers include "terrible" to "very well".
Time frame: Day 0 to 14
The accuracy of the developed algorithm from the investigational device compared to daily self-report questionnaire via an app in characterizing perimenopausal symptoms considering confounders of warmer environmental conditions. Questionnaire answers include "not at all" to "nearly all day".
Time frame: Day 0 to 14
The accuracy of the developed algorithm from the investigational device compared to daily self-report questionnaire via an app in characterizing perimenopausal symptoms considering confounders of an ethnically-diverse study population. Questionnaire answers include "not at all" to "nearly all day".
Contact information is provided by the study sponsor or research team.
IdentifyHer Limited
Industry
An Observational Virtual Trial to Investigate the Accuracy of a Wearable Device in Collecting Data Related to Perimenopausal Symptoms in Women
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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