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This study investigates the influence of a PCOS app on the quality of life and symptoms of individuals with polycystic ovary syndrome (PCOS). The intervention group can use the app over the study period of twelve weeks in addition to care-as-usual (CAU). In the control group, this is compared with no use of the PCOS-App for a twelve-week period, that is, care-as-usual only/ continuation of the current treatment (waitlist design). The aim is to evaluate the effectiveness of the app and to gain insights for the design of future studies. The study is expected to last seven months and include 220 participants.
Full description
The study aims to investigate the effect of a PCOS app on quality of life and symptoms of individuals with polycystic ovary syndrome (PCOS). PCOS is a widespread and distressing health problem that can significantly affect quality of life and well-being of affected individuals. Research into digital health applications has shown the potential to provide innovative solutions to improve care and self-management of chronic conditions.
The present study is designed as a single-blind, two-arm, randomised controlled trial in which participants will either receive the PCOS app over a 12-week period in addition to care-as-usual (intervention group) or only care-as-usual as typically available (control group). The study will be conducted online. The aim is to evaluate the effectiveness of the app by analysing various questionnaires as endpoints. The primary endpoint is the Polycystic Ovary Syndrome Questionnaire (PCOSQ-G). The questionnaires/endpoints will be completed at T0 (baseline) and after 12 weeks. Statistical analyses will be conducted using R and SPSS. Exploratory evaluations of change scores in the relevant questionnaires will be performed.
Overall, this study aims to provide important insights into whether and to what extent a PCOS app can have a positive impact on the quality of life and symptoms of women with PCOS.
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220 participants in 2 patient groups
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Central trial contact
Teresa Götz, M.Sc.
Data sourced from clinicaltrials.gov
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