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Prediction model study focusing on eHealth in the management of urinary incontinence: the Personalised Advantage Index as a decision-making aid
OBJECTIVE: To develop a prediction model and illustrate the practical potential of personalisation of treatment decisions between app-based treatment and care as usual for urinary incontinence (UI). DESIGN: A prediction model study using data from a pragmatic, randomised controlled, non-inferiority...
Autores principales: | Loohuis, Anne Martina Maria, Burger, Huibert, Wessels, Nienke, Dekker, Janny, Malmberg, Alec GGA, Berger, Marjolein Y, Blanker, Marco H, van der Worp, Henk |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328108/ https://www.ncbi.nlm.nih.gov/pubmed/35879013 http://dx.doi.org/10.1136/bmjopen-2021-051827 |
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