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...

Descripción completa

Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
General practice / Family practice
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

Internet

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

Ejemplares similares