↓ Skip to main content

Managing depression in people with multimorbidity: a qualitative evaluation of an integrated collaborative care model

Overview of attention for article published in BMC Primary Care, March 2015
Altmetric Badge

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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
20 X users

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
262 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.
Title
Managing depression in people with multimorbidity: a qualitative evaluation of an integrated collaborative care model
Published in
BMC Primary Care, March 2015
DOI 10.1186/s12875-015-0246-5
Pubmed ID
Authors

Sarah E Knowles, Carolyn Chew-Graham, Isabel Adeyemi, Nia Coupe, Peter A Coventry

Abstract

Patients with comorbid depression and physical health problems have poorer outcomes compared with those with single long term conditions (LTCs), or multiple LTCs without depression. Primary care has traditionally struggled to provide integrated care for this group. Collaborative care can reduce depression in people with LTCs but evidence is largely based on trials conducted in the United States that adopted separate treat to target protocols for physical and mental health. Little is known about whether collaborative care that integrates depression care within the management of LTCs is implementable in UK primary care, and acceptable to patients and health care professionals. Nested interview study within the COINCIDE trial of collaborative care for patients with depression and diabetes/CHD (ISRCTN80309252). The study was conducted in primary care practices in North West England. Professionals delivering the interventions (nurses, GPs and psychological well-being practitioners) and patients in the intervention arm were invited to participate in semi-structured qualitative interviews. Based on combined thematic analysis of 59 transcripts, we identified two major themes: 1) Integration: patients and professionals valued collaborative ways of working because it enhanced co-ordination of mental and physical health care and provided a sense that patients' health was being more holistically managed. 2) Division: patients and professionals articulated a preference for therapeutic and spatial separation between mental and physical health. Patients especially valued a separate space outside of their LTC clinic to discuss their emotional health problems. The COINCIDE care model, that sought to integrate depression care within the context of LTC management, achieved service level integration but not therapeutic integration. Patients preferred a protected space to discuss mental health issues, and professionals maintained barriers around physical and mental health expertise. Findings therefore suggest that in the context of mental-physical multimorbidity, collaborative care can facilitate access to depression care in ways that overcome stigma and enhance the confidence of multidisciplinary health teams to work together. However, such care models need to be flexible and patient centred to accommodate the needs of patients for whom their depression may be independent of their LTC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Uruguay 1 <1%
Chile 1 <1%
Unknown 258 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 14%
Student > Ph. D. Student 32 12%
Researcher 29 11%
Student > Doctoral Student 23 9%
Unspecified 21 8%
Other 67 26%
Unknown 54 21%
Readers by discipline Count As %
Medicine and Dentistry 57 22%
Nursing and Health Professions 44 17%
Psychology 37 14%
Unspecified 21 8%
Social Sciences 19 7%
Other 23 9%
Unknown 61 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 17 October 2019.
All research outputs
#2,791,018
of 25,374,647 outputs
Outputs from BMC Primary Care
#347
of 2,359 outputs
Outputs of similar age
#34,333
of 272,871 outputs
Outputs of similar age from BMC Primary Care
#6
of 40 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 85% 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 272,871 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.