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

Overview of attention for article published in BMC Family Practice, 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
16 tweeters

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
53 Mendeley
citeulike
1 CiteULike
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Title
Towards an international taxonomy of integrated primary care: a Delphi consensus approach
Published in
BMC Family Practice, 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.

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Researcher 8 15%
Student > Doctoral Student 7 13%
Student > Master 6 11%
Other 3 6%
Other 7 13%
Unknown 12 23%
Readers by discipline Count As %
Medicine and Dentistry 10 19%
Nursing and Health Professions 7 13%
Social Sciences 7 13%
Business, Management and Accounting 3 6%
Computer Science 2 4%
Other 10 19%
Unknown 14 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 05 February 2022.
All research outputs
#1,779,869
of 23,056,273 outputs
Outputs from BMC Family Practice
#170
of 1,864 outputs
Outputs of similar age
#24,240
of 268,335 outputs
Outputs of similar age from BMC Family Practice
#8
of 35 outputs
Altmetric has tracked 23,056,273 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 1,864 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 90% 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 268,335 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 well, scoring higher than 80% of its contemporaries.