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Dataset Information

HipScreen mobile app for the measurement of hip migration percentage in children with cerebral palsy: Accuracy, reliability, and discriminatory ability.


ABSTRACT:

Aim

To assess the accuracy, reliability, and discriminatory ability of a mobile app for measurement of migration percentage in hip surveillance radiographs of children with cerebral palsy (CP).

Method

The free mobile app HipScreen (www.hipscreen.org) was utilized by a diverse group of users to measure the migration percentage of 40 hips at two time points after completing an online tutorial and competency test. The mean absolute error (MAE) was calculated against the reference standard obtained on a radiology workstation. Statistical analyses included linear regression, intraclass correlation coefficient (ICC), and area under receiver-operating characteristic curve (AUC).

Results

Thirty-seven users completed the study, with 30 having a healthcare professional backgrou

SUBMITTER: Kulkarni VA 

PROVIDER: S-EPMC10983771 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature