Literature DB >> 25969415

Diagnostic accuracy of the Whooley depression tool in older adults in UK primary care.

Katharine Bosanquet1, Natasha Mitchell2, Rhian Gabe2, Helen Lewis2, Dean McMillan3, David Ekers4, Della Bailey2, Simon Gilbody3.   

Abstract

PURPOSE OF RESEARCH: To validate the Whooley questions as a screening tool for depression amongst a population of older adults in UK primary care.
OBJECTIVE: To assess the diagnostic performance of the Whooley questions as a screening tool for depression amongst older adults in UK primary care. PARTICIPANTS: A cross-sectional validation study was conducted with 766 patients aged ≥75 from UK primary care, recruited via 17 general practices based in the North of England during the pilot phase of a randomized controlled trial. MAIN OUTCOME MEASURES: Sensitivity, specificity and likelihood ratios comparing the index test (two Whooley questions) with a diagnosis of major depressive disorder (MDD) ascertained by the reference standard Mini International Neuropsychiatric Interview (MINI).
RESULTS: The two screening questions had a sensitivity of 94.3% (95% confidence interval, 80.8-99.3%) and specificity of 62.7% (95% confidence interval, 59.0-66.2%). The likelihood ratio for a positive test was 2.5 (95% confidence interval, 2.2-2.9) and the likelihood ratio for a negative test was 0.09 (95% confidence interval, 0.02-0.35).
CONCLUSION: The two Whooley questions missed few cases of depression. However, they were responsible for a high rate of false positives. This creates additional burden on general practitioners, to conduct more detailed investigation on patients who screen positive, but many of whom turn out not to have MDD.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Depression; Diagnostic accuracy; Older adults; Primary health care; Screening

Mesh:

Year:  2015        PMID: 25969415     DOI: 10.1016/j.jad.2015.04.020

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  1 in total

1.  Measures for concordance and discordance with applications in disease control and prevention.

Authors:  Marc Aerts; Adelino Jc Juga; Niel Hens
Journal:  Stat Methods Med Res       Date:  2018-09-03       Impact factor: 3.021

  1 in total

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