Prediction model study focusing on eHealth in the management of urinary incontinence: the Personalised Advantage Index as a decision-making aid.

ABSTRACT:

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 trial.

Setting

Dutch primary care from 2015, with social media included from 2017. Enrolment ended on July 2018.

Participants

Adult women were eligible if they had ≥2 episodes of UI per week, access to mobile apps and wanted treatment. Of the 350 screened women, 262 were eligible and randomised to app-based treatment or care as usual; 195 (74%) attended follow-up.

Predictors

Literature review and expert opinion identified 13 candidate predictors, categorised int

SUBMITTER: Loohuis AMM 

PROVIDER: S-EPMC9328108 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature