Women In Steady Exercise Research (WISER) Sister: study design and methods
Schmitz et al.
The finding, in our words
The WISER Sister trial randomised 139 at-risk women to home-based exercise interventions and demonstrated feasibility of daily first-morning urine self-collection for two menstrual cycles to measure endogenous sex hormone exposure, with 12 percent dropout and 122 completers.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
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 ↗
Only 24% of participants completed this two-cycle feasibility study of AI-interpreted salivary ferning for ovulation prediction in females with irregular cycles, with 44% withdrawing citing cycle irregularity, pregnancy, or time constraints. The authors concluded that decentralised fertility trials must streamline procedures and provide ovulatory health education to improve retention and reduce burden before smartphone-based diagnostics can be scaled for this population.
Peebles et al., Journal of medical Internet research · 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 ↗
Quantitative at-home urine monitors clearly demarcated luteal phase transitions, luteinisation, progestation, and luteolysis, and identified anovulation across three clinical scenarios. This proof-of-concept suggests self-collected urine hormone measurements could help women target fertility interventions without clinic visits.