Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data.

ABSTRACT: During pregnancy, almost all women experience pregnancy-related symptoms. The relationship between symptoms and their association with pregnancy outcomes is not well understood. Many pregnancy apps allow pregnant women to track their symptoms. To date, the resulting data are primarily used from a commercial rather than a scientific perspective. In this work, we aim to examine symptom occurrence, course, and their correlation throughout pregnancy. Self-reported app data of a pregnancy symptom tracker is used. In this context, we present methods to handle noisy real-world app data from commercial applications to understand the trajectory of user and patient-reported data. We report real-world evidence from patient-reported outcomes that exceeds previous works: 1,549,186 tracked symptoms from

SUBMITTER: Nissen M 

PROVIDER: S-EPMC10567694 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature