Generalizability of a prediction rule for sick leave due to shoulder pain | Zendy

Ton Kuijpers | Zendy; Yvonne Vergouwe | Zendy; Geert J. M. G. van der Heijden | Zendy; Sandra D.M. Bot | Zendy; Jos W. R. Twisk | Zendy; Daniëlle van der Windt | Zendy; L.M. Bouter | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Generalizability of a prediction rule for sick leave due to shoulder pain

Author(s) -

Ton Kuijpers,

Yvonne Vergouwe,

Geert J. M. G. van der Heijden,

Sandra D.M. Bot,

Jos W. R. Twisk,

Daniëlle van der Windt,

L.M. Bouter

Publication year - 2007

Publication title -

scandinavian journal of work environment and health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.621

H-Index - 103

eISSN - 1795-990X

pISSN - 0355-3140

DOI - 10.5271/sjweh.1168

Subject(s) - generalizability theory , medicine , sick leave , receiver operating characteristic , physical therapy , clinical prediction rule , cohort , discriminative model , population , cohort study , randomized controlled trial , psychology , machine learning , developmental psychology , environmental health , computer science

Recently, a rule was developed to predict sick leave related to shoulder pain during a period of 6 months after patients have consulted a general practitioner for a new episode of shoulder pain. The objective was to evaluate the generalizability of this prediction rule by testing it in two other populations of workers who had gone for a consultation in primary care for a new episode of shoulder pain.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research