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Understanding collaborative care implementation in the Department of Veterans Affairs: core functions and implementation challenges

Overview of attention for article published in BMC Health Services Research, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
88 Mendeley
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Title
Understanding collaborative care implementation in the Department of Veterans Affairs: core functions and implementation challenges
Published in
BMC Health Services Research, October 2017
DOI 10.1186/s12913-017-2601-9
Pubmed ID
Authors

Jessica M. Lipschitz, Justin K. Benzer, Christopher Miller, Siena R. Easley, Jenniffer Leyson, Edward P. Post, James F. Burgess

Abstract

The collaborative care model is an evidence-based practice for treatment of depression in which designated care managers provide clinical services, often by telephone. However, the collaborative care model is infrequently adopted in the Department of Veterans Affairs (VA). Almost all VA medical centers have adopted a co-located or embedded approach to integrating mental health care for primary care patients. Some VA medical centers have also adopted a telephone-based collaborative care model where depression care managers support patient education, patient activation, and monitoring of adherence and progress over time. This study evaluated two research questions: (1) What does a dedicated care manager offer in addition to an embedded-only model? (2) What are the barriers to implementing a dedicated depression care manager? This study involved 15 qualitative, multi-disciplinary, key informant interviews at two VA medical centers where reimbursement options were the same- both with embedded mental health staff, but one with a depression care manager. Participant interviews were recorded and transcribed. Thematic analysis was used to identify descriptive and analytical themes. Findings suggested that some of the core functions of depression care management are provided as part of embedded-only mental health care. However, formal structural attention to care management may improve the reliability of care management functions, in particular monitoring of progress over time. Barriers to optimal implementation were identified at both sites. Themes from the care management site included finding assertive care managers to hire, cross-discipline integration and collaboration, and primary care provider burden. Themes from interviews at the embedded site included difficulty getting care management on leaders' agendas amidst competing priorities and logistics (staffing and space). Providers and administrators see depression care management as a valuable healthcare service that improves patient care. Barriers to implementation may be addressed by team-building interventions to improve cross-discipline integration and communication. Findings from this study are limited in scope to the VA healthcare system. Future investigation of whether alternative barriers exist in implementation of depression care management programs in non-VA hospital systems, where reimbursement rates may be a more prominent concern, would be valuable.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 19%
Researcher 12 14%
Student > Ph. D. Student 12 14%
Student > Doctoral Student 7 8%
Student > Bachelor 6 7%
Other 10 11%
Unknown 24 27%
Readers by discipline Count As %
Psychology 14 16%
Medicine and Dentistry 13 15%
Nursing and Health Professions 10 11%
Social Sciences 7 8%
Agricultural and Biological Sciences 2 2%
Other 15 17%
Unknown 27 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 08 March 2023.
All research outputs
#4,338,839
of 23,505,064 outputs
Outputs from BMC Health Services Research
#2,027
of 7,838 outputs
Outputs of similar age
#77,139
of 325,378 outputs
Outputs of similar age from BMC Health Services Research
#30
of 112 outputs
Altmetric has tracked 23,505,064 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,838 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 73% 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 325,378 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 75% of its contemporaries.
We're also able to compare this research output to 112 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 73% of its contemporaries.