Sentence examples similar to users screened for from inspiring English sources

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That rape, sexual assault, sexual harassment and their attendant consequences are often risk factors for PTSD isn't the only outcome for women veterans of sex crime – it runs even to higher rates of homelessness: "39% of homeless women veteran VHA users screened positive for MST (Military Sexual Trauma) in 2010.

4233 service users were screened for eligibility.

Because the purpose of this study was to examine the potential benefit of IVR assessments, and their triggering of counselling at the point of need to reduce relapse, tobacco users were screened for study criteria and invited to participate after reporting they had been quit for 24 h or more after their quit date.

Given the size of modern desktop screens, you can't even draw any real conclusions from your users' screen sizes anymore either because "for many people, the visible portion of the web page is much smaller than the screen resolution, because of excessive toolbars and other clutter".

This application allows users to screen for potential illnesses such as a urinary tract infection, diabetes or kidney stones.

They will be provided with a brief overview of the project and interested users will then be screened for eligibility using a self-administered online survey, while non-interested users will be returned to 10 000 Steps, as they had initially intended.

The de facto national service framework for drugs and alcohol highlights the importance of integrated care pathways and including non-drug specific services such as hospitals in the treatment of drug users; in particular in screening for drug use and referral into specialist services [ 36].

There are no data on the views of general practice and community mental health team (CMHT) staff or service users regarding the acceptability of screening for CHD risk factors.

The frequent triptan users were screened and assessed for "triptan rebound headache".

The Consolidated Complaint suggests, however, that Gmail's interceptions for the purposes of targeted advertising and creation of user profiles was separate from screening for any objectionable content.

Module Predict allow users to screen peptide library for predicting best IFN-γ inducing epitopes.

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