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Towards an international taxonomy of integrated primary care: a Delphi consensus approach

Overview of attention for article published in BMC Primary Care, May 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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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1 news outlet
policy
1 policy source
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14 X users

Citations

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102 Dimensions

Readers on

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54 Mendeley
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1 CiteULike
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Title
Towards an international taxonomy of integrated primary care: a Delphi consensus approach
Published in
BMC Primary Care, May 2015
DOI 10.1186/s12875-015-0278-x
Pubmed ID
Authors

Pim P. Valentijn, Hubertus J. M. Vrijhoef, Dirk Ruwaard, Inge Boesveld, Rosa Y. Arends, Marc A. Bruijnzeels

Abstract

Developing integrated service models in a primary care setting is considered an essential strategy for establishing a sustainable and affordable health care system. The Rainbow Model of Integrated Care (RMIC) describes the theoretical foundations of integrated primary care. The aim of this study is to refine the RMIC by developing a consensus-based taxonomy of key features. First, the appropriateness of previously identified key features was retested by conducting an international Delphi study that was built on the results of a previous national Delphi study. Second, categorisation of the features among the RMIC integrated care domains was assessed in a second international Delphi study. Finally, a taxonomy was constructed by the researchers based on the results of the three Delphi studies. The final taxonomy consists of 21 key features distributed over eight integration domains which are organised into three main categories: scope (person-focused vs. population-based), type (clinical, professional, organisational and system) and enablers (functional vs. normative) of an integrated primary care service model. The taxonomy provides a crucial differentiation that clarifies and supports implementation, policy formulation and research regarding the organisation of integrated primary care. Further research is needed to develop instruments based on the taxonomy that can reveal the realm of integrated primary care in practice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Student > Doctoral Student 8 15%
Researcher 7 13%
Student > Master 6 11%
Other 3 6%
Other 6 11%
Unknown 14 26%
Readers by discipline Count As %
Medicine and Dentistry 10 19%
Nursing and Health Professions 8 15%
Social Sciences 6 11%
Business, Management and Accounting 3 6%
Computer Science 2 4%
Other 10 19%
Unknown 15 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 09 February 2022.
All research outputs
#1,882,991
of 25,371,288 outputs
Outputs from BMC Primary Care
#202
of 2,359 outputs
Outputs of similar age
#23,599
of 281,615 outputs
Outputs of similar age from BMC Primary Care
#6
of 35 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd 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 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 281,615 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 91% 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 well, scoring higher than 82% of its contemporaries.