G Parker1, T Hilton, J Bains, D Hadzi-Pavlovic. 1. School of Psychiatry, University of New South Wales, and Mood Disorders Unit, Prince of Wales Hospital, Sydney, Australia.
Abstract
OBJECTIVE: We suggest that the identification of depression in the medically ill (DMI) might be improved by focussing on cognitive features. METHOD: We recruited 302 patients to complete our provisional cognitive-based measure. Subsets also completed one of two comparator screening measures, either the Hospital and Anxiety Depression Scale (HADS) or the Beck Depression Inventory for Primary Care (BDI-PC). One hundred and sixty patients were then assessed by a psychiatrist who estimated whether they were 'clinically depressed' and who also administered a standardized interview for depression (the CIDI). RESULTS: Analyses identified items discriminating clinically depressed and non-depressed individuals, allowing development of brief (10-item) and extended (18-item) measures. The two new measures were compared with the HADS and the BDI-PC in discriminating depressed and non-depressed medically ill patients. CONCLUSION: A cognitive construct-based approach to assessing depression in the medically ill appears strongly supported. We provide brief (DMI-10) and extended (DMI-18) measures that appear to have utility as screening instruments. Consideration of the discriminating items may also assist clinical decision making.
OBJECTIVE: We suggest that the identification of depression in the medically ill (DMI) might be improved by focussing on cognitive features. METHOD: We recruited 302 patients to complete our provisional cognitive-based measure. Subsets also completed one of two comparator screening measures, either the Hospital and Anxiety Depression Scale (HADS) or the Beck Depression Inventory for Primary Care (BDI-PC). One hundred and sixty patients were then assessed by a psychiatrist who estimated whether they were 'clinically depressed' and who also administered a standardized interview for depression (the CIDI). RESULTS: Analyses identified items discriminating clinically depressed and non-depressed individuals, allowing development of brief (10-item) and extended (18-item) measures. The two new measures were compared with the HADS and the BDI-PC in discriminating depressed and non-depressed medically ill patients. CONCLUSION: A cognitive construct-based approach to assessing depression in the medically ill appears strongly supported. We provide brief (DMI-10) and extended (DMI-18) measures that appear to have utility as screening instruments. Consideration of the discriminating items may also assist clinical decision making.
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
Authors: Sunita R Jha; Malin K Hannu; Phillip J Newton; Kay Wilhelm; Christopher S Hayward; Andrew Jabbour; Eugene Kotlyar; Anne Keogh; Kumud Dhital; Emily Granger; Mark Connellan; Paul Jansz; Phillip M Spratt; Elyn Montgomery; Angela Smith; Michelle Harkess; Peta Tunicliff; Patricia M Davidson; Peter S Macdonald Journal: Transplant Direct Date: 2017-05-30
Authors: David R Darley; Gregory J Dore; Lucette Cysique; Kay A Wilhelm; David Andresen; Katrina Tonga; Emily Stone; Anthony Byrne; Marshall Plit; Jeffrey Masters; Helen Tang; Bruce Brew; Philip Cunningham; Anthony Kelleher; Gail V Matthews Journal: Med J Aust Date: 2021-03-03 Impact factor: 12.776
Authors: Paris Tavakoli; Ute Vollmer-Conna; Dusan Hadzi-Pavlovic; Xabier Vázquez-Campos; Michael Carl Grimm Journal: Front Med (Lausanne) Date: 2022-07-19