↓ Skip to main content

Patient predictors of response to cognitive behaviour therapy and schema therapy for depression

Overview of attention for article published in Australian & New Zealand Journal of Psychiatry, January 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
128 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Patient predictors of response to cognitive behaviour therapy and schema therapy for depression
Published in
Australian & New Zealand Journal of Psychiatry, January 2018
DOI 10.1177/0004867417750756
Pubmed ID
Authors
Abstract

Few studies have examined differential predictors of response to psychotherapy for depression. Greater understanding about the factors associated with therapeutic response may better enable therapists to optimise response by targeting therapy for the individual. The aim of the current exploratory study was to examine patient characteristics associated with response to cognitive behaviour therapy and schema therapy for depression. Participants were 100 outpatients in a clinical trial randomised to either cognitive behaviour therapy or schema therapy. Potential predictors of response examined included demographic, clinical, functioning, cognitive, personality and neuropsychological variables. Individuals with chronic depression and increased levels of pre-treatment negative automatic thoughts had a poorer response to both cognitive behaviour therapy and schema therapy. A treatment type interaction was found for verbal learning and memory. Lower levels of verbal learning and memory impairment markedly impacted on response to schema therapy. This was not the case for cognitive behaviour therapy, which was more impacted if verbal learning and memory was in the moderate range. Study findings are consistent with the Capitalisation Model suggesting that therapy that focuses on the person's strengths is more likely to contribute to a better outcome. Limitations were that participants were outpatients in a randomised controlled trial and may not be representative of other depressed samples. Examination of a variety of potential predictors was exploratory and requires replication.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 18 14%
Researcher 17 13%
Student > Bachelor 14 11%
Student > Ph. D. Student 10 8%
Student > Postgraduate 6 5%
Other 14 11%
Unknown 49 38%
Readers by discipline
Readers by discipline Count As %
Psychology 41 32%
Medicine and Dentistry 10 8%
Nursing and Health Professions 6 5%
Neuroscience 4 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 10 8%
Unknown 55 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 November 2018.
All research outputs
#9,478,602
of 28,012,507 outputs
Outputs from Australian & New Zealand Journal of Psychiatry
#1,252
of 2,698 outputs
Outputs of similar age
#162,644
of 459,698 outputs
Outputs of similar age from Australian & New Zealand Journal of Psychiatry
#10
of 27 outputs
Altmetric has tracked 28,012,507 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 2,698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 459,698 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.