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Cognitive therapy of depression
Abstract
This review examines the role of patient predictors of outcome in cognitive therapy of depression. Studies that meet eligibility criteria are reviewed for demonstrated linkage between various predictors (i.e., pretreatment severity, historical features, demographic predictors, dysfunctional attitudes and other cognitive features, and treatment acceptability) and outcome, and several effects are found. Notably, high pretreatment severity scores are associated with poorer response to cognitive therapy, as are high chronicity, younger age at onset, an increased number of previous episodes, and marital status. High pretreatment levels of dysfunctional attitudes and certain beliefs about the nature of depression were also found to predict differential response to cognitive therapy of depression. Limitations of the research and directions for further investigations of patient predictors of outcome in cognitive therapy of depression are provided.
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“In accordance with Hamilton and Dobson (2002), we controlled for initial depression in all of our analyses, by entering baseline HRSD scores as a covariate.”
From Mindfulness-Based Cognitive Therapy Improves Emotional Reactivity to Social Stress: Results from a Randomized Controlled Trial (2012) · cites this paper as Hamilton and Dobson (2002)
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Pugach, M. R., & Goodman, L. A. (2015) · Counselling Psychology Quarterly · doi:10.1080/09515070.2015.1053434 · Cited by 20
“Another set of studies found no relationship between SES and outcome (e.g. Hamilton & Dobson, 2002; McLeod, Johnston, & Griffin, 2000), and a third set demonstrated significant positive changes in low-income individuals’ postintervention symptomatology compared to their baseline functioning (e.g.…”
ResultSalomonsson, S., Santoft, F., Lindsäter, E., Ejeby, K., Ingvar, M., Öst, L.-G., Lekander, M., Ljótsson, B., & Hedman-Lagerlöf, E. (2020) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2019.1669701 · Cited by 20
“…seem to predict more symptoms post-treatment, but baseline symptom burden does not necessarily a ff ect the magnitude of symptom reduction after CBT for anxiety and depression (Brandenburg, 2017; Driessen, Cuijpers, Hollon, & Dekker, 2010; Eskildsen et al., 2010; Hamilton & Dobson, 2002).”
BackgroundResultInfluentialMarshall, J. M., Dunstan, D. A., & Bartik, W. (2020) · JMIR Research Protocols · doi:10.2196/17159 · Cited by 24
“Areas covered include mental health literacy [41], motivation to change [42], chronicity of anxiety and/or depression [43], and technology proficiency, all of which may influence results.”
Dysfunctional cognitions of depressive inpatients and their relationship with treatment outcome
Köhler, S., Unger, T., Hoffmann, S., Mackert, A., Ross, B., & Fydrich, T. (2015) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2014.12.020 · Cited by 20
Effectiveness and predictors of outcome in routine out-patient mental health care for older adults
Veerbeek, M., Voshaar, R. C. O., & Pot, A. M. (2014) · International Psychogeriatrics · doi:10.1017/s1041610214000647 · Cited by 19
Friedl, N., Krieger, T., Chevreul, K., Hazo, J., Holtzmann, J., Hoogendoorn, M., Kleiboer, A. M., Mathiasen, K., Urech, A., Riper, H. M., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9020490 · Cited by 20
“This is in line with previous research that has found pretreatment symptomatology and expectancy to be important predictors of treatment outcome, in the sense that higher symptomatology before treatment predicts worse end‐state symptomatology [30,34,36,38,72,73] and higher expectancy for improvement predicts better tr…”
Marshall, J. M., Dunstan, D. A., & Bartik, W. J. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.775775 · Cited by 19
“These include client–therapist rapport (Tang and DeRubeis, 1999), client motivation (Addis and Jacobson, 2000), chronicity/history of mental illness (Hamilton and Dobson, 2002), functional impairment, social support, coping style, level of client resistance, subjective distress, and readiness to change (Beutler and Cl…”
BackgroundPaetzold, I., Schick, A., Rauschenberg, C., Hirjak, D., Banaschewski, T., Meyer‐Lindenberg, A., Butz, S., Floesser, C., Schültke, L., Boehnke, J. R., et al. (2022) · JMIR Formative Research · doi:10.2196/39511 · Cited by 17
“This is at variance with findings in traditional psychotherapy for depression and psychosis, where reviews indicate differential treatment effects for various sociodemographic characteristics (eg, age, gender, and marital status) [92,93].”
ResultPARTNER AGGRESSION SEVERITY AS A RISK MARKER FOR MALE AND FEMALE VIOLENCE RECIDIVISM
Woodin, E. M., & O’Leary, K. D. (2006) · Journal of Marital and Family Therapy · doi:10.1111/j.1752-0606.2006.tb01607.x · Cited by 18
Koppers, D., Peen, J., Niekerken, S., Van, R., & Dekker, J. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.05.027 · Cited by 18
Therapist effects vary significantly across psychological treatment care sectors.
Firth, N., Saxon, D., Stiles, W. B., & Barkham, M. (2020) · Clinical Psychology and Psychotherapy · doi:10.1002/cpp.2461 · Cited by 16
“Pre-intervention patient severity is one of the strongest predictors of patient outcome, as have been found to be associated with therapist effect size (Bohart & Greaves Wade, 2013; Hamilton & Dobson, 2002; Saxon & Barkham, 2012).”
BackgroundPatients' explanations for depression: a factor analytic study
Budd, R., James, D., & Hughes, I. (2008) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.558 · Cited by 17
Newman, C. F. (2011) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2010.07.004 · Cited by 18
Outcome of cognitive behaviour therapy for minor depression in routine practice
Cuijpers, P. J., Smit, F., Voordouw, I., & Kramer, J. (2005) · Psychology and Psychotherapy Theory Research and Practice · doi:10.1348/147608304x22391 · Cited by 14
Lo, H. H. M., Epstein, I., Ng, S., Chan, C., & Ho, C. S. F. K. (2011) · Social Work in Mental Health · doi:10.1080/15332985.2011.575731 · Cited by 13
Metadata
- Authors
- Hamilton, K. E., & Dobson, K. S.
- Affiliations
- University of Calgary (CA)
- Corresponding author
- Hamilton, Kate E
- ORCID
- Dobson, Keith S
- Venue
- Clinical Psychology Review
- Publisher
- Elsevier BV
- Published
- 2002-07
- Volume
- 22
- Issue
- 6
- Pages
- 875-893
- ISSN
- 0272-7358 (ISSN-L)
- OpenAlex
- W102691765
- Cited by
- 191
- References
- 74
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 4 · 2023: 8 · 2022: 8 · 2021: 6 · 2020: 15 · 2019: 9 · 2018: 6 · 2017: 14 · 2016: 16 · 2015: 10 · 2014: 10 · 2013: 7 · 2012: 9
- FWCI
- 5.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Psychology Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Social Sciences › Psychology › Clinical Psychology › Psychological Treatments and Assessments
- Keywords
- cognitive therapy, depression, predictors of treatment outcome, pretreatment severity, chronicity of depression, age of onset, marital status, dysfunctional attitudes, treatment acceptability
- MeSH terms
- Age Factors, Attitude, Cognition, Demography, Depressive Disorder, Humans, Probability, Severity of Illness Index, Cognitive Behavioral Therapy, Treatment Outcome
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