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Assessing screening instruments and thresholds to detect risk of depression in diabetes patients, a brief report
Xiaona Liu1, Laura Boogaard1, Vicki Erasmus1
1Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands.
Abstract:
Over the last decades several self-report instruments have been developed to identify diabetes at risk for depression. In a sample of diabetes outpatients, we assessed the accuracy of three widely-used instruments, and recommend the instruments with the best sensitivity and specificity for identifying diabetes in need of early treatment for depression.
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