Literature DB >> 25441055

Does cognition predict treatment response and remission in psychotherapy for late-life depression?

Sherry A Beaudreau1, Tiffany Rideaux2, Ruth O'Hara3, Patricia Arean4.   

Abstract

OBJECTIVES: To identify cognitive predictors of geriatric depression treatment outcome.
METHOD: Older participants completed baseline measures of memory and executive function, health, and baseline and post-treatment Hamilton Depression Scales (HAM-D) in a 12-week trial comparing psychotherapies (problem-solving vs. supportive; N = 46). We examined cognitive predictors to identify treatment responders (i.e., HAM-D scores reduced by ≥50%) and remitters (i.e., post-treatment HAM-D score ≤10).
RESULTS: Empirically derived decision trees identified poorer performance on switching (i.e., Trails B), with a cut-score of ≥82 predicting psychotherapy responders. No other cognitive or health variables predicted psychotherapy outcomes in the decision trees.
CONCLUSIONS: Psychotherapies that support or improve the executive skill of switching may augment treatment response for older patients exhibiting executive dysfunction in depression. If replicated, Trails B has potential as a brief cognitive tool for clinical decision-making in geriatric depression. Published by Elsevier Inc.

Entities:  

Keywords:  Intervention; cognitive predictors; depressed; older adults; psychological treatments; treatment outcome

Mesh:

Year:  2014        PMID: 25441055      PMCID: PMC4289644          DOI: 10.1016/j.jagp.2014.09.003

Source DB:  PubMed          Journal:  Am J Geriatr Psychiatry        ISSN: 1064-7481            Impact factor:   4.105


  15 in total

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  9 in total

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