Kimberly Peven

ORCID: 0000-0002-0047-4084 · 4 papers in corpus
diagnostic-accuracy 2023
Assessing the accuracy of a digital symptom checker tool for suggestion of reproductive health conditions: a clinical vignettes study
·doi:10.1101/2023.02.22.23286305

Abstract Background Reproductive health conditions such as endometriosis, uterine fibroids and polycystic ovary syndrome affect a large proportion of women and people who menstruate worldwide. Prevalence estimates for these conditions range…

diagnostic-accuracy 2023
Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study
JMIR mHealth and uHealth ·doi:10.2196/46718

BACKGROUND: Reproductive health conditions such as endometriosis, uterine fibroids, and polycystic ovary syndrome (PCOS) affect a large proportion of women and people who menstruate worldwide. Prevalence estimates for these conditions range…

observational 2023
Characterization of Self-reported Improvements in Knowledge and Health Among Users of Flo Period Tracking App: Cross-sectional Survey
JMIR mHealth and uHealth ·doi:10.2196/40427

BACKGROUND: Research shows that poor knowledge and awareness of menstrual and pregnancy health among women are associated with adverse reproductive health and pregnancy outcomes. Menstrual cycle- and pregnancy-tracking mobile apps are promi…

observational 2022
Menstrual cycle-associated symptoms and workplace productivity in US employees: A cross-sectional survey of users of the Flo mobile phone app
Digital health ·doi:10.1177/20552076221145852

OBJECTIVE: Mood and physical symptoms related to the menstrual cycle affect women's productivity at work, often leading to absenteeism. However, employer-led initiatives to tackle these issues are lacking. Digital health interventions focus…