Compliance with daily, home-based collection of urinary biospecimens in a prospective, preconception cohort
Cox et al.
The finding, in our words
In a prospective preconception cohort, participants correctly collected 82% of expected female urine samples and 59% of male samples on investigator-identified days, with high agreement between participants and expert reviewers on fertile window timing. This demonstrates that intensively scheduled, biologically triggered, at-home urine collection can be successfully targeted to the periconceptional window and completed in longitudinal research.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
In a large real-world cohort of pregnancy planners using home urine tests, sensitivity was lower than expected before the expected period, with false negatives of 12.7% at 2 days, 21.4% at 3 days and 46.4% at 4 days before menses; sensitivity rose sharply thereafter to over 99% by 4 days after the expected period, and for any given test day, longer menstrual cycles were associated with higher sensitivity, especially among early testers.
Sundermann et al., Fertility and sterility (paywalled) · source ↗
The Mira fertility monitor's LH surge and urine E1-3G levels correlated strongly with the ClearBlue Fertility Monitor's LH surge and low-to-high shift in both postpartum and perimenopause transitions, supporting at-home urine hormone monitoring for fertility tracking.
Bouchard et al., Women's health reports · source ↗
All five at-home urine ovulation predictor kits demonstrated high accuracy (92–97%) when compared with blood LH levels, though sensitivity varied widely from 38% to 77% with Clinical Guard the lowest. Patient experience was comparable across kits, though Clinical Guard was slightly less favoured for future use.
Vanderhoff et al., Fertility and sterility (paywalled) · source ↗
This retrospective case series found that a protocol combining home-based urinary hormone testing with a smartphone application supported fertility management and family planning without unintended pregnancies. The findings suggest that integrating self-collected urinary data with digital tools offers a viable decentralised approach for ovulation prediction.
Leiva & Ecochard, Seminars in reproductive medicine · source ↗
In subfertile women, urinary microbiota profiles correlated strongly with vaginal profiles but contained fewer species, indicating that vaginal sampling is preferable for predicting fertility treatment outcomes.