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The self-management of longer-term depression: learning from the patient, a qualitative study

Overview of attention for article published in BMC Psychiatry, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

32 tweeters
1 Facebook page


22 Dimensions

Readers on

143 Mendeley
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The self-management of longer-term depression: learning from the patient, a qualitative study
Published in
BMC Psychiatry, July 2015
DOI 10.1186/s12888-015-0550-6
Pubmed ID

Eleni Chambers, Sarah Cook, Anna Thake, Alexis Foster, Sue Shaw, Rebecca Hutten, Glenys Parry, Tom Ricketts


Depression is a common mental health condition now viewed as chronic or long-term. More than 50 % of people will have at least one further episode of depression after their first, and therefore it requires long-term management. However, little is known about the effectiveness of self-management in depression, in particular from the patients' perspective. This study aimed to understand how people with longer-term depression manage the condition, how services can best support self-management and whether the principles and concepts of the recovery approach would be advantageous. Semi-structured in depth interviews were carried out with 21 participants, recruited from a range of sources using maximum variation sampling. Interpretative Phenomenological Analysis was used by a diverse team comprised of service users, practitioners and academics. Four super-ordinate themes were found: experience of depression, the self, the wider environment, self-management strategies. Within these, several prominent sub-themes emerged of importance to the participants. These included how aspects of themselves such as hope, confidence and motivation could be powerful agents; and how engaging in a wide range of chosen activities could contribute to their emotional, mental, physical, social, spiritual and creative wellbeing. Services in general were not perceived to be useful in specifically facilitating self-management. Increased choice and control were needed and a greater emphasis on an individualised holistic model. Improved information was needed about how to develop strategies and locate resources, especially during the first episode of depression. These concepts echoed those of the recovery approach, which could therefore be seen as valuable in aiding the self-management of depression.

Twitter Demographics

The data shown below were collected from the profiles of 32 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Unknown 140 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 17%
Student > Bachelor 22 15%
Researcher 19 13%
Student > Ph. D. Student 19 13%
Student > Doctoral Student 16 11%
Other 21 15%
Unknown 21 15%
Readers by discipline Count As %
Psychology 35 24%
Medicine and Dentistry 20 14%
Nursing and Health Professions 18 13%
Social Sciences 16 11%
Agricultural and Biological Sciences 5 3%
Other 22 15%
Unknown 27 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 12 April 2016.
All research outputs
of 17,356,510 outputs
Outputs from BMC Psychiatry
of 3,750 outputs
Outputs of similar age
of 240,740 outputs
Outputs of similar age from BMC Psychiatry
of 1 outputs
Altmetric has tracked 17,356,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,750 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 91% 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 240,740 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them