Risk of Bias from Inclusion of Currently Diagnosed or Treated Patients in Studies of Depression Screening Tool Accuracy: A Cross-Sectional Analysis of Recently Published Primary Studies and Meta-Analyses.
BACKGROUND:Depression screening can improve upon usual care only if screening tools accurately identify depressed patients who would not otherwise be recognized by healthcare providers. Inclusion of patients already being treated for depression in studies of screening tool accuracy would inflate est...
Main Authors: | Danielle B Rice, Brett D Thombs |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2016-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4769287?pdf=render |
Similar Items
-
Diagnosing and Treating Depression in Patients with Alzheimer’s Disease
by: Anna D. Burke, et al.
Published: (2019-08-01) -
Accuracy of three depression screening scales to diagnose major depressive episodes in older adults without neurocognitive disorders
by: Mônica V. Costa, et al.
Published: (2016-06-01) -
The distress thermometer as a screening measure of anxiety and depression in recently diagnosed cancer patients
by: Amador Priede, et al.
Published: (2014-06-01) -
Depression screening and mental health outcomes in children and adolescents: a systematic review protocol
by: Thombs Brett D, et al.
Published: (2012-11-01) -
Screening and diagnosing postpartum depression: when and how?
by: Gustavo Paranhos de Albuquerque Moraes, et al.