Literature DB >> 15474638

A prospective study to compare three depression screening tools in patients who are terminally ill.

Mari Lloyd-Williams1, Mick Dennis, Fiona Taylor.   

Abstract

Depression is a significant symptom for approximately one in four palliative care patients. This study investigates the performance of three screening tools. Patients were asked to verbally rate their mood on a scale of 0-10; to respond "yes" or "no" to the question "Are you depressed?," and to complete the Edinburgh depression scale. They were also interviewed using a semi-structured clinical interview according to DSM-IV criteria. Complete data was available for 74 patients. For the single question, a "yes" answer had a sensitivity of 55% and specificity 74%. The Edinburgh depression scale at a cut-off point of > or =13 had a sensitivity of 70% and specificity of 80%. The verbal mood item with a cut-off point of > or =3 had a sensitivity of 80% and specificity of 43%. The Edinburgh depression scale proved to be the most reliable instrument for detecting clinical depression in palliative care patients.

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Mesh:

Year:  2004        PMID: 15474638     DOI: 10.1016/j.genhosppsych.2004.04.002

Source DB:  PubMed          Journal:  Gen Hosp Psychiatry        ISSN: 0163-8343            Impact factor:   3.238


  8 in total

Review 1.  A systematic review of measures of end-of-life care and its outcomes.

Authors:  Richard A Mularski; Sydney M Dy; Lisa R Shugarman; Anne M Wilkinson; Joanne Lynn; Paul G Shekelle; Sally C Morton; Virginia C Sun; Ronda G Hughes; Lara K Hilton; Margaret Maglione; Shannon L Rhodes; Cony Rolon; Karl A Lorenz
Journal:  Health Serv Res       Date:  2007-10       Impact factor: 3.402

2.  Expert opinion on detecting and treating depression in palliative care: A Delphi study.

Authors:  Lauren Rayner; Annabel Price; Matthew Hotopf; Irene J Higginson
Journal:  BMC Palliat Care       Date:  2011-05-27       Impact factor: 3.234

3.  Distress is Interdependent in Patients and Caregivers with Newly Diagnosed Incurable Cancers.

Authors:  Jamie M Jacobs; Kelly M Shaffer; Ryan D Nipp; Joel N Fishbein; James MacDonald; Areej El-Jawahri; William F Pirl; Vicki A Jackson; Elyse R Park; Jennifer S Temel; Joseph A Greer
Journal:  Ann Behav Med       Date:  2017-08

Review 4.  Case identification of depression in patients with chronic physical health problems: a diagnostic accuracy meta-analysis of 113 studies.

Authors:  Nicholas Meader; Alex J Mitchell; Carolyn Chew-Graham; David Goldberg; Maria Rizzo; Victoria Bird; David Kessler; Jon Packham; Mark Haddad; Stephen Pilling
Journal:  Br J Gen Pract       Date:  2011-12       Impact factor: 5.386

5.  Screening for major depressive disorder in adults with cerebral glioma: an initial validation of 3 self-report instruments.

Authors:  Alasdair G Rooney; Shanne McNamara; Mairi Mackinnon; Mary Fraser; Roy Rampling; Alan Carson; Robin Grant
Journal:  Neuro Oncol       Date:  2012-12-09       Impact factor: 12.300

6.  The Beck Depression Inventory (BDI-II) and a single screening question as screening tools for depressive disorder in Dutch advanced cancer patients.

Authors:  Franca Warmenhoven; Eric van Rijswijk; Yvonne Engels; Cornelis Kan; Judith Prins; Chris van Weel; Kris Vissers
Journal:  Support Care Cancer       Date:  2011-01-18       Impact factor: 3.603

7.  Using aggregated single patient (N-of-1) trials to determine the effectiveness of psychostimulants to reduce fatigue in advanced cancer patients: a rationale and protocol.

Authors:  Hugh Ej Senior; Geoffrey K Mitchell; Jane Nikles; Sue-Ann Carmont; Philip J Schluter; David C Currow; Rohan Vora; Michael J Yelland; Meera Agar; Phillip D Good; Janet R Hardy
Journal:  BMC Palliat Care       Date:  2013-04-23       Impact factor: 3.234

8.  Are one or two simple questions sufficient to detect depression in cancer and palliative care? A Bayesian meta-analysis.

Authors:  A J Mitchell
Journal:  Br J Cancer       Date:  2008-05-27       Impact factor: 7.640

  8 in total

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