Menstrual Tracking Applications and PMDD
| dc.contributor.advisor | Raisanen, Elizabeth | |
| dc.contributor.advisor | Spitzley, Kate | |
| dc.contributor.author | Grunwald, Hannah | |
| dc.date.accessioned | 2024-12-12T23:05:01Z | |
| dc.date.available | 2024-12-12T23:05:01Z | |
| dc.date.issued | 2024-11 | |
| dc.description | 30 pages | |
| dc.description.abstract | Premenstrual Dysphoric Disorder (PMDD) is a psychiatric and gynecological condition marked by affective, cognitive, and physical symptoms that predominantly manifest during the luteal phase, occurring in the week before menstruation and resolving after the onset of menstruation, affecting 1.2-6.4% of individuals who menstruate (Naik et al. 2023). Symptoms of PMDD heavily overlap with those of other psychiatric disorders but the condition is distinguished by the cyclical timing of symptoms occurring in the week before menstruation and resolving after the onset of menstruation. The Carolina Premenstrual Assessment Scoring System (C-PASS) is a standardized computer algorithm that uses the basis of the Daily Record of Severity of Problems (DRSP) to help distinguish clinical presentations of PMDD and other menstrual disorders with data being derived from a self-reported record of symptoms over a two-cycle span (Eisenlohr-Moul et al. 2017). During a clinical study, the C-PASS showed that its conclusion agreed with physicians’ diagnoses with face-to-face clinical evaluation 94.5% of the time (Epperson and Hantsoo 2017). With over 200 million downloads of menstrual tracking apps, the potential for a diagnostic tool like C-PASS to be incorporated into an app should be considered to facilitate accurate clinical diagnoses of PMDD (Levy & Romo-Avilés, 2019; Naik et al., 2023). | |
| dc.identifier.orcid | 0009-0001-1665-5955 | |
| dc.identifier.uri | https://hdl.handle.net/1794/30245 | |
| dc.language.iso | en_US | |
| dc.publisher | University of Oregon | en |
| dc.rights | Creative Commons BY-NC-ND 4.0-US | |
| dc.subject | apps, menstrual, tracking, PMDD, applications | |
| dc.title | Menstrual Tracking Applications and PMDD | |
| dc.type | Thesis |