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Analytical typology of multiprofessional primary care models

Overview of attention for article published in BMC Primary Care, April 2018
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
13 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
57 Mendeley
Title
Analytical typology of multiprofessional primary care models
Published in
BMC Primary Care, April 2018
DOI 10.1186/s12875-018-0731-8
Pubmed ID
Authors

Damien Contandriopoulos, Mélanie Perroux, Aurore Cockenpot, Arnaud Duhoux, Emmanuelle Jean

Abstract

There is only limited evidence to support care redefinition and role optimization processes needed for scaling up of a stronger primary care capacity. Data collection was based on a keyword search in MEDLINE, EMBASE and CINAHL databases. Three thousand, two hundred and twenty-nine documents were identified, 1851 met our inclusion criteria, 71 were retained for full-text assessment and 52 included in the final selection. The analysis process was done in four steps. In the end, the elements that were identified as particularly central to the process of transforming primary care provision were used as the basis of two typologies. The first typology is based on two structural dimensions that characterize promising multiprofessional primary care teams. The first is the degree to which the division of tasks in the team was formalized. The second dimension is the centrality and autonomy of nurses in the care model. The second typology offers a refined definition of comprehensiveness of care and its relationship with the optimization of professional roles. The literature we analyzed suggests there are several plausible avenues for coherently articulating the relationships between patients, professionals, and care pathways. The expertise, preferences, and numbers of available human resources will determine the plausibility that a model will be a coherent response that is appropriate to the needs and environmental constraints (funding models, insurance, etc.). The typologies developed can help assess existing care models analytically or evaluatively and to propose, prospectively, some optimal operational parameters for primary care provision.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Ph. D. Student 9 16%
Researcher 4 7%
Professor 3 5%
Student > Doctoral Student 2 4%
Other 8 14%
Unknown 19 33%
Readers by discipline Count As %
Nursing and Health Professions 15 26%
Medicine and Dentistry 8 14%
Social Sciences 6 11%
Engineering 2 4%
Economics, Econometrics and Finance 1 2%
Other 5 9%
Unknown 20 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 December 2023.
All research outputs
#1,513,659
of 25,382,440 outputs
Outputs from BMC Primary Care
#133
of 2,359 outputs
Outputs of similar age
#32,762
of 343,387 outputs
Outputs of similar age from BMC Primary Care
#1
of 35 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% 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 particularly well, scoring higher than 94% 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 343,387 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 90% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.