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Development and assessment of an active strategy for the implementation of a collaborative care approach for depression in primary care (the INDI·i project)

Overview of attention for article published in BMC Health Services Research, December 2017
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet
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Citations

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6 Dimensions

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106 Mendeley
Title
Development and assessment of an active strategy for the implementation of a collaborative care approach for depression in primary care (the INDI·i project)
Published in
BMC Health Services Research, December 2017
DOI 10.1186/s12913-017-2774-2
Pubmed ID
Authors

Enric Aragonès, Diego Palao, Germán López-Cortacans, Antonia Caballero, Narcís Cardoner, Pilar Casaus, Myriam Cavero, José Antonio Monreal, Víctor Pérez-Sola, Miquel Cirera, Maite Loren, Eva Bellerino, Catarina Tomé-Pires, Laura Palacios

Abstract

Primary care is the principal clinical setting for the management of depression. However, significant shortcomings have been detected in its diagnosis and clinical management, as well as in patient outcomes. We developed the INDI collaborative care model to improve the management of depression in primary care. This intervention has been favorably evaluated in terms of clinical efficacy and cost-effectiveness in a clinical trial. Our aim is to bring this intervention from the scientific context into clinical practice. Objective: To test for the feasibility and impact of a strategy for implementing the INDI model for depression in primary care. A quasi-experiment conducted in primary care. Several areas will be established to implement the new program and other, comparable areas will serve as control group. The study constitutes the preliminary phase preceding generalization of the model in the Catalan public healthcare system. The target population of the intervention are patients with major depression. The implementation strategy will also involve healthcare professionals, primary care centers, as well as management departments and the healthcare organization itself in the geographical areas where the study will be conducted: Camp de Tarragona and Vallès Occidental (Catalonia). The INDI model is a program for improving the management of depression involving clinical, instructional, and organizational interventions including the participation of nurses as care managers, the efficacy and efficiency of which has been proven in a clinical trial. We will design an active implementation strategy for this model based on the PARIHS (Promoting Action on Research Implementation in Health Services) framework. Qualitative and quantitative measures will be used to evaluate variables related to the successful implementation of the model: acceptability, utility, penetration, sustainability, and clinical impact. This project tests the transferability of a healthcare intervention supported by scientific research to clinical practice. If implementation is successful in this experimental phase, we will use the information and experience obtained to propose and plan the generalization of the INDI model for depression in the Catalan healthcare system. We expect the program to benefit patients, the healthcare system, and society. ClinicalTrials.gov identifier: NCT03285659 ; Registered 12th September, 2017.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 15%
Researcher 14 13%
Student > Bachelor 11 10%
Student > Doctoral Student 8 8%
Student > Ph. D. Student 8 8%
Other 15 14%
Unknown 34 32%
Readers by discipline Count As %
Medicine and Dentistry 17 16%
Nursing and Health Professions 16 15%
Psychology 12 11%
Social Sciences 6 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 14 13%
Unknown 37 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 August 2022.
All research outputs
#2,443,491
of 24,257,370 outputs
Outputs from BMC Health Services Research
#1,014
of 8,173 outputs
Outputs of similar age
#54,829
of 447,313 outputs
Outputs of similar age from BMC Health Services Research
#22
of 140 outputs
Altmetric has tracked 24,257,370 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,173 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 87% 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 447,313 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 140 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.