A multicentre validation study of a smartphone application to screen hand arthritis.

ABSTRACT:

Background

Arthritis is a common condition, and the prompt and accurate assessment of hand arthritis in primary care is an area of unmet clinical need. We have previously developed and tested a screening tool combining machine-learning algorithms, to help primary care physicians assess patients presenting with arthritis affecting the hands. The aim of this study was to assess the validity of the screening tool among a number of different Rheumatologists.

Methods

Two hundred and forty-eight consecutive new patients presenting to 7 private Rheumatology practices across Australia were enrolled. Using a smartphone application, each patient had photographs taken of their hands, completed a brief 9-part questionnaire, and had a single examination result (wrist irritability) record

SUBMITTER: Reed M 

PROVIDER: S-EPMC9081322 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature